Abstract:
The ability to perform non-destructive editing of files and models requires the generation and persistence of input deltas that capture changes that are made to a base starting point. Reconstitution of saved state may be achieved through the application of deltas. This capability is useful for failover remediation in client/server environments since the client has access to the deltas, such that in the event that a stateful service becomes unresponsive (and therefore, no longer available), the service may be taken offline and a new resource may be assigned as a replacement. In such an event, the service is directed to load the baseline data and any changes may be reapplied, restoring the service state.

Description:
RELATED APPLICATION(S) 
     This application is a continuation-in-part of U.S. application Ser. No. 13/875,680 filed on May 2, 2013. The entire teachings of the above application are incorporated herein by reference. 
    
    
     BACKGROUND OF THE INVENTION 
     Computer systems, including but not limited to both single-user and multiple-user client/server systems that include hardware and software components, have demanding change request requirements and failover requirements. Such computer systems apply to a variety of industries, including the process industry which is a demanding industry that goes through rigorous planning, designing, construction, and operating procedures. The process industry has extensive simulation and computing needs. In the process industry, plant conditions fluctuate all the time, and the plant also has multiple modes of operation, e.g. summer mode, winter mode; normal throughput, reduced or increased throughput; also different grades of product or a different feedstock require the plant to operate in a different mode. In the process industry, many process and plant model and file changes are required to support the demands of the process industry and fluctuating plant conditions. In such a dynamic environment that requires frequent changes to models and files, a method and system is needed that addresses failover situations gracefully so that changes are not lost. 
     SUMMARY OF THE INVENTION 
     The proposed approach applies non-destructive editing in software models and files. One advantage of the proposed approach is that non-destructive editing means that multiple users may make changes to the same file without having one user&#39;s changes overwrite another user&#39;s changes. This is accomplished by coding the plant processing software or simulator, such as aspenONE (Trademark of Assignee), to “remember” the changes that a given user makes to a model and stores those changes in a given user&#39;s account (of the invention system), where the changes do not affect the other users and all users have their own private set or sets of changes. In the preferred embodiment of the proposed approach, changes are private and the baseline model itself is preferably not changed. In one embodiment, a single user may merge or share his sets of changes to a model. In an alternative embodiment, users may merge or share changes to a model instead of employing a private change approach. A given user receives a copy of the other user&#39;s changes. In a given scenario, loading the original model file and reapplying the changes restores the user&#39;s state and lets the user pick up where the user left off. Recovery from a critical failure in a simulator is preferably similar to starting over where opening a saved simulation triggers the process software or simulator to pull the user&#39;s modifications from the user&#39;s account and applies the user&#39;s modifications to the baseline model, thereby restoring the state. In addition, additional unsaved changes (not saved in the user&#39;s account) held in computer memory (working memory generally) may be retrieved for the user and these unsaved changes are also included as part of the saved modification set. 
     Another advantage of the proposed approach includes an advanced concept of autonomous self-healing where the system components detect simulator failure conditions and take pro-active steps behind the scenes by assigning a new simulator. The system loads the data and reapplies the changes that were in effect when the failure occurred. In one embodiment of the proposed approach, this autonomous self-healing is performed before a user is aware of a problem with the simulator. 
     Another advantage of the proposed approach is an improved change management strategy compared to existing change management strategies. Existing change management strategies apply source control (such as Clearcase and CVS) to change files, through multiple users, and the file changes result in different versions of a baseline, that are stored in a repository. In existing systems, the latest baseline version of the file is comparable to a single source of truth. By contrast, the proposed approach provides multiple sources of truth where every user has an independent source of truth. In the proposed approach, individual user preferences and individual user changes are stored in user preference storage (or content storage) and each user may have his own source of truth. Rather than just saving a new baseline for each version, the proposed approach saves the changes relative to an initial/original user baseline, which is more convenient to the user. 
     Another advantage of the proposed approach is that it includes a user-centric focus. By contrast, in existing source control environments, the focus is repository-centric. The proposed approach includes a focus on the individual preferences and needs of the system developers. In the proposed approach, user deltas and user preferences are saved. 
     The proposed approach includes a computer-implemented method of managing data for a user group of at least one user comprising forming a set of change groups, made through a user interface by a given user of the user group, wherein a given change group of a set of change groups is associated with the given user of the user group, wherein the given user of the user group makes changes to a model, starting from a baseline that is retrieved from a storage group. The approach further includes storing the baseline in a shared file storage included in the storage group. The proposed approach further comprises storing, upon a save operation, a first set of changes from the given change group, to a user-authenticated content storage included in the storage group. The approach further comprises continuously tracking changes made after the save operation and storing both a remaining set of changes from the given change group, including the changes made after the save operation, and the first set of changes from the given change group, to a local memory included in the storage group. 
     The computer-implemented method may include the model being associated with an application instance and further comprising the following computer-implemented step: detecting a switchover event, through a resource manager, that identifies the application instance as an application instance identified for removal, through the resource manager communicating with an adapter associated with the application instance. The computer-implemented method may include the following computer-implemented steps: removing the association between the model and the application instance, through the resource manager; terminating the application instance identified for removal, as a result of a command sequence initiated by the resource manager, in parallel with the following steps; replacing the application instance identified for removal with a new application instance based upon a replacement initiation from the resource manager; associating the model with the new application instance, through the resource manager; and restoring to the new application instance, the given change group and the baseline, from the storage group, through a model restoration procedure initiated by the resource manager and implemented by the adapter. 
     The computer-implemented method may have the model including at least one file, a simulation model, or an application model. The computer-implemented method may include the adapter associated with the application instance intercommunicating with both the application instance and the resource manager, and the adapter may terminate, restart, or repair the application instance. The computer-implemented method may include a monitor that monitors both the adapter and the application instance and the monitor detects an additional switchover event and terminates the application instance. The computer-implemented method may include the adapter monitoring both the adapter and the application instance and the adapter detects an additional switchover event and terminates the application instance. 
     The computer-implemented method may include the switchover event including a failover event detected by a loss of one or more periodic heartbeat messages sent from the application instance to the resource manager. The computer-implemented method may include the switchover event resulting from an interrogation command sent from the resource manager to the application instance that fails to receive an expected acknowledgement. The computer-implemented method may include the switchover event including regular maintenance as administered by an administration dashboard. 
     The computer-implemented method may include the model being associated with a new application instance, in addition to being associated with the application instance, and subsequently after detecting the switchover event, the application instance is no longer associated with the model, thereby replacing the application instance identified for removal with the new application instance in a seamless manner, such that a live user service session is not interrupted or modified, wherein a redundant mirrored application instance is applied as the new application instance. 
     The computer-implemented method may include the given change group of the set of change groups being private such that it does not interfere with a set of remaining change groups from the set of change groups. The computer-implemented method may include the given change group of the set of change groups being merged with at least one change group of a set of remaining change groups from the set of change groups. The computer-implemented method may include the given change group of the set of change groups being shared with at least one change group of a set of remaining change groups from the set of change groups. 
     The proposed approach may include a computer system of managing data for a user group of at least one user comprising the following computer-implemented elements. A user interface that, through interaction with a given user of the user group, forms a change group of a set of change groups, wherein the given user of the user group makes changes to a model, starting from a baseline that is retrieved from a storage group, wherein the model is associated with an application instance. A shared file storage that stores the baseline included in the storage group; a user-authenticated content storage that stores, upon a save operation, a first set of changes from the given change group, and is included in the storage group. A local memory that is included in the storage group and continuously tracks changes made after the save operation and stores a remaining set of changes from the given change group including the changes made after the save operation, and the first set of changes from the given change group. A resource manager that detects a switchover event and identifies the application instance as an application instance identified for removal, through the resource manager communicating with an adapter associated with the application instance, and removes the association between the model and the application instance. The resource manager initiates a command sequence that results in termination of the application instance identified for removal, in parallel with the steps below: a new application instance replaces the application instance identified for removal based upon on a replacement initiation from the resource manager; and the resource manager associates the model with the new application instance and initiates a model restoration procedure, implemented by the adapter, that restores the given change group and the baseline to the new application instance. 
     The model of the computer system may include at least one file, a simulation model, or an application model. The computer system may include the adapter associated with the application instance intercommunicates with both the application instance and the resource manager, and the adapter may terminate, restart, or repair the application instance. A monitor may monitor both the adapter and the application instance and the monitor detects an additional switchover event and terminates the application instance, and the adapter monitors both the adapter and the application instance and the adapter detects the additional switchover event and terminates the application instance. 
     The computer system may include the switchover event including a failover event detected by a loss of one or more periodic heartbeat messages sent from the application instance to the resource manager, the switchover event results from an interrogation command sent from the resource manager to the application instance that fails to receive an expected acknowledgement, or the switchover event includes regular maintenance as administered by an administration dashboard. The computer system may include the model being associated with a new application instance, in addition to being associated with the application instance, and subsequently after detecting the switchover event, the application instance is no longer associated with the model, thereby replacing the application instance identified for removal with the new application instance in a seamless manner, such that a live user service session is not interrupted or modified, wherein a redundant mirrored application instance is applied as the new application instance. 
     The computer system may include the given change group of the set of change groups is private such that it does not interfere with a set of remaining change groups from the set of change groups, or the given change group of the set of change groups may be merged with or shared with at least one change group of a set of remaining change groups from the set of change groups. 
     The computer program product may include: one or more non-transitory computer-readable storage media having computer-executable components for use in managing information for a user group of at least one user, said computer-executable components comprising the following. A user interface that, through interaction with a given user of the user group, forms a change group of a set of change groups, wherein the given user of the user group makes changes to a model, starting from a baseline that is retrieved from a storage group, wherein the model is associated with an application instance. A shared file storage that stores the baseline included in the storage group; a user-authenticated content storage that stores, upon a save operation, a first set of changes from the given change group, and is included in the storage group; a local memory that is included in the storage group and continuously tracks changes made after the save operation and stores a remaining set of changes from the given change group including the changes made after the save operation, and the first set of changes from the given change group. A resource manager that detects a switchover event and identifies the application instance as an application instance identified for removal, through the resource manager communicating with an adapter associated with the application instance, and removes the association between the model and the application instance. The resource manager initiates a command sequence that results in termination of the application instance identified for removal, in parallel with the steps below: a new application instance replaces the application instance identified for removal based upon on a replacement initiation from the resource manager; and the resource manager associates the model with the new application instance and initiates a model restoration procedure, implemented by the adapter, that restores the given change group and the baseline to the new application instance. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
       The foregoing will be apparent from the following more particular description of example embodiments of the invention, as illustrated in the accompanying drawings in which like reference characters refer to the same parts throughout the different views. The drawings are not necessarily to scale, emphasis instead being placed upon illustrating embodiments of the present invention. 
         FIG. 1A  is a schematic illustration of model changes being stored. 
         FIG. 1B  is a schematic illustration of model changes from a session in  FIG. 1A  being restored in a subsequent session. 
         FIG. 1C  is a schematic illustration of prior art source control systems. 
         FIG. 1D  is a schematic illustration of one aspect of the present invention and how it improves over  FIG. 1C . 
         FIG. 2A  is a schematic diagram of a preferred detailed architectural implementation of embodiments of the present invention. 
         FIG. 2B  is a schematic illustration of a monitor associated with the architecture of  FIG. 2A . 
         FIG. 2C  is a procedural flowchart of the present invention of  FIG. 2A . 
         FIG. 3  illustrates a preferred embodiment of resource pools used by the present invention. 
         FIG. 4  illustrates a computer network or similar digital processing environment in which the present invention may be implemented. 
         FIG. 5  is a block diagram of the internal structure of a computer in the computer network of  FIG. 4 . 
     
    
    
     DETAILED DESCRIPTION OF THE INVENTION 
     A description of example embodiments of the invention follows. 
     One of the strengths of Service Oriented Architectures is the ability to share application resources across many clients; that flexibility comes in part, from stateless service behavior. However, sometimes stateful service patterns are employed as part of a migration of single-user stateful software to a distributed paradigm or for other reasons. Non-destructive editing normally involves a baseline from which a user works and the system maintains a list of changes to that baseline, where a list of changes is preferably referred to as a delta. One disadvantage of existing methods is that loss of state is always possible as services may exhibit failure behavior including the following: stalling, slowing to a crawl or simply failing outright. The proposed approach detects at least this failure behavior, and adopts proactive steps by its intelligent self-healing systems. As the delta evolves, changes to the delta are written to persistent store. 
       FIG. 1A  is a representation of changes being stored to a model. At a high level, a model is associated with an application instance  252   o  that is stored inside of a Service Platform  250 . Three types of data collectively form a model, including the baseline  271 , and a set of changes (delta)  270  that includes a first set of changes (delta)  270   a  and a second set of changes (delta)  270   b . The baseline model  271  is initially retrieved from a shared store  240 . The baseline model  271  may be at least one file, a simulation model, or an application model that includes, but is not limited to, process control, planning, scheduling, manufacturing, accounting, manufacturing supply chain (MSC) products, supply chain logistics, anything that requires automation in a plant or process, anything that performs processing of crude oil, plant data, or other types. The baseline model  271  is displayed to the user through a client user interface  40  and the user may interact with and modify the baseline model  271 , making changes (deltas  270  including at least  270   a ,  270   b ) to form a changed model. When a user performs a “save” operation then any deltas  270   a  are saved to a user preference storage service  210  (which also may include a content storage service). Local memory associated with the client  40  stores both the deltas  270   a  and any changes  270   b  made since the “save” operation. 
       FIG. 1B  is a representation of model changes from  FIG. 1A  being restored. As shown in  FIG. 1B , restoration preferably includes restoration of the model and the cumulative deltas  270 . A “restore” operation preferably includes creation of a new application instance  252   p  that has the characteristics of the old application instance  252   o . The “restore” operation also transfers the entire model associated with the old application instance  252   o  to the new application instance  252   p , including the saved baseline  271  from storage  240 , the changes  270  including saved changes  270   a , and any additional changes  270   b  since the last “save” operation that are stored on the memory associated with the client  40  and these changes are made through the user interface  40 . 
     Some example situations where restoration is performed include, but are not limited to, the following. For example, restoration is performed if the application instance  252   o  becomes defunct and needs to be replaced by a replacement application instance  252   p . In another example, the application instance  252   o  is brought down and restored later with  252   p  due to regular system maintenance. In yet another example, a user is working on a desktop at work, and then also wants to work later in the evening at home through a smart phone, so the user performs the “save” operation prior to (or by) closing out of the desktop application, and the user subsequently performs the “restore” operation by re-opening the application through the smart phone later in the evening. 
     As described earlier in the Summary, another advantage of the proposed approach is how it improves over the existing source control mechanisms.  FIG. 1C  is a representation of prior art source control systems. Normally, with source control systems, developers  400  work locally to directly/destructively modify a copy of the baseline code  271  that comes from a Source Control Repository  1000 . The result is a set of one or more files that differ from what is stored in the repository. In this scenario, the repository constitutes the “single source of truth” for the code base. The changes that a developer makes are not persisted anywhere beyond the modifications to the files that exist locally; if the file gets deleted, it is considered acceptable as it is not perceived as having any significant value. This is a destructive edit scenario, where a system maintains a record of which destructive edits were made so that the states of the edited document may be reconstituted at any time. In such a system, any changes that are not stored in source control are deemed irrelevant. 
     In the prior art system of  FIG. 1C , a key discriminator is that only one version of truth is allowed to exist at one time, and each version of that file requires an explicit checkin. At the time of checkin, the current version of the file is replaced by the new version of the file. Whether internally, it stores complete copies of the file or some subset of deltas is irrelevant since they represent a history only and none of those potential versions are allowed to exist at the same time along with the original baseline. 
       FIG. 1D  is a representation of one aspect of Applicant&#39;s proposed approach and how it improves over  FIG. 1C . In proposed approach, Applicant&#39;s system  280  content (e.g., aspenONE Trademark of Assignee) includes the baseline model files  271  which are created by desktop products of the proposed approach; these are stored in a network-visible location  240  that is part of the proposed approach but separate from the aspenONE (Trademark of Assignee) system. Access to this shared location allows for destructive editing by highly-skilled domain experts who are capable of building these complex models. Instead, the proposed approach allows users to perform non-destructive editing. On behalf of aspenONE (Trademark of Assignee) users, a simulator  251  reads a baseline file  271  and makes changes  270 , and presents the baseline file  271  to the user  40  through a Web Server  220 , but those changes are never saved back to the baseline repository  240 . When a user wishes to persist the modifications to a model, the deltas  270  are taken from each user, when they initiate a save request and persist the delta information in a separate system  210  that is part of the aspenONE system and associates those changes with the user  40 , not the baseline repository  240 . To reinforce that this differs from a simple source control paradigm, these deltas are metadata that have a stronger relationship with the respective individual user than the model. This approach is so decoupled from the model that one may take the deltas and apply them to a different model and this may be performed regularly. The source control system of the prior art does not let one do that since it does not make sense in that paradigm. The baseline models  271  are preferably never modified by the normal non-destructive users  40 ; directly altering the baseline model  271  is performed by a user of the pertinent desktop applications (e.g., aspenONE Trademark of Assignee). 
       FIG. 2A  is a detailed architectural implementation diagram of a preferred embodiment (system  280 ). Each element in  FIG. 2A  may be implemented in software, hardware, or both, where each element is executed through computer processing means. Each element may either be in the same geographic location, or in a different geographic location compared with other elements. In  FIG. 2A , each element may be either plural or singular. 
     The storage locations for each of the three model data types discussed above ( 270   a ,  270   b ,  271 ) are shown in  FIG. 2A . The baseline model data  271  is stored in a Shared Store  240 , the change data  270   a  on each “save” operation is stored in content storage  210  and locally in memory (preferably on the web server but not limited to that location) associated with the simulation web application  221   d  which is associated with the client  40 , and the change data  270   b  made since each “save” operation is stored locally in memory associated with the simulation web application  221   d  which is associated with the client  40 . 
     Heartbeat messages include regular messages that are emitted from a source to a system, to enable the system to identify if the source is no longer available. One example application of heartbeat messages is in Enterprise Systems. The resource manager  230  of  FIG. 2A  monitors heartbeat messages sent from each of the application instances  252  (where  252  includes at least  252   a ,  252   b ,  252   c ,  252   d ,  252   o , and  252   p ) through an associated adapter  251  (where  251  includes at least  251   a ,  251   b ,  251   c , and  251   d ) through an Enterprise Service Bus (ESB)  70   a . These heartbeat messages are preferably sent every minute, although they may be sent more or less frequently, such as every five minutes, or faster than one minute. Typically, heartbeat messages are sent every minute, or faster. 
     In the event that one or more heartbeat messages is lost, or in the event of routine maintenance initiated by an administrator  40   c , the resource manager  230  detects the failure and takes proactive steps by initiating a corresponding service recovery event, and takes the application service ( 250   a  for example) offline proactively and allocates another replacement ( 250   n  for example) from a pool of available services  250   a . . . n . The client adapter  222  is notified that it needs to send the cached set of data deltas  270  to be applied to the baseline service after it has loaded the proper data and is ready to accept changes to its state. Applying the deltas  270  and baseline  271  effectively reconstitutes the state of the failed service. Referring to  FIG. 2A , the client adapter  222  is requested to resend the changes in batch form, the user is aware that a failure and subsequent recovery has occurred. This capability of the proposed approach also allows a user to log into a system, reconstitute a stateful service and resume work that was previously stored in a non-destructive manner. 
     A subject application, for example, aspenONE (Trademark of Assignee), makes use of existing Aspen Plus (Trademark of Assignee)  252   a ,  252   b , and HYSYS (Trademark of Assignee)  252   c  application instances by running them as Stateful Services; an instance of the application loads, which in turn, loads a specified model. In addition, other application instances may be used as stateful services, such as, but not limited to, PIMS (Trademark of Assignee)  252   d , other application instances, simulation instances, data storage instances, data processing instances, data analysis instances, or other instance types. Applying user-specific deltas  270  and the baseline  271  to the application instance  252  effectively reconstitutes the state. Since these existing software products are not originally written to function as stateful services, an advantage of the proposed approach is that it makes up for this deficiency and accounts for failure events. Through the proposed approach, the subject application, like aspenONE (Trademark of Assignee), detects and ameliorates the impact of failure events in support of the user. 
     Some additional implementation details that support the proposed approach as shown in a preferred implementation in  FIG. 2A  are as follows. One of ordinary skill of the art understands that alternative methods for implementing the proposed approach may also be used. After discussion of these implementation details, a summary discussion is provided in reference to  FIG. 2B . 
     As shown in  FIG. 2A , the preferred Content Storage  210  implementation is Microsoft Sharepoint, however, embodiments of the proposed approach may also use other user preference storage (content storage)  210  implementations in place of Microsoft Sharepoint. The user preference storage  210  is preferably used to store user profile information, authentication information, and membership information, and models, files, or other data, however, one skilled in the art realizes that other types of storage may be used to store this information. User preference storage  210  is communicated to the user through a Web Service (Data)  223  to a computer display  40  for the user, where the Web Service may optionally be included in a Web Server  220 . However, in an alternative embodiment, the Web Service (Data)  223  may be replaced by the Client Adapter  222  which communicates with the ESB  70   a.    
     The computer displays  40  (where  40  at least also includes  40   a ,  40   b , and  40   c ), shown in  FIG. 2A , include but are not limited to a computer monitor, personal computer, laptop, desktop, phone, smart phone, mobile phone, projection device, or other computer (digital processing or computing) device. The user is provided with Web Applications that include User Interfaces (UI)  221  that allow the user to modify a model or file and include at least Workspaces  221   a , Plant Data  221   b , Search  221   c , Simulation  221   d , and Administration  221   e , where the UIs may optionally be included in a Web Server  220 . The UI is implemented in Hypertext Markup Language (HTML) but alternative implementations may be used. Workspaces  221   a  have a unified user interface that allows the user to store search results, store file changes, model changes, store snapshots of data, store merged views of files and models, modify files and models, and include files and models, such as, but not limited to, simulation models and application models. 
     A Search UI  221   c  allows the user to search, through a Search Service  211 , for models and files. The Search Service  211  software extracts metadata from files and models and indexes that data into the search. 
     Optionally, sensors perform plant data measurements from plant assets and report the plant data measurements through plant data servers through, for non-limiting example, an Aspen InfoPlus.21 (IP.21 of Assignee) data service  212 . The plant data, indicated as “Live Data” in  FIG. 2A , includes live (real time) data, historical data, and other types of plant data. This plant data is provided to the Client Adapter (Web Sockets)  222 , where the Client Adapter may optionally be included in a Web Server  220 . As illustrated in  FIG. 2A , plant data from the IP.21 Data Service  212  and simulation data from the Enterprise Service Bus (ESB)  70   a  are simultaneously input to the Client Adapter  222 . 
     The simulation model, application model, or one or more files that has both a baseline and deltas  270  are received by the Client Adapter  222 . The application model may include, but is not limited to, a model file or one or more files as consumed by HYSYS (Trademark of Assignee), Aspen Plus (Trademark of Assignee), PIMS (Trademark of Assignee), or other application types. The simulation model may include, but is not limited to, a combination of a baseline and a user&#39;s delta values, along with session meta-information about zoom and pan levels, which stream tables are open and the filter settings, and optionally other settings. The Client Adapter  222 , on behalf of the user, requests an available application instance from the Resource Manager  230 . This request is the result of applying an Application Service  250  to a model that the user is viewing in the Simulation Application  221   d . If the Resource Manager  230  grants the request, based upon compatibility and availability, then access to an application instance in Application Services  250  is provided, and a further request is performed through the Enterprise Service Bus (ESB) Network Element  70   a  which forwards to the Application Services  250   a  . . .  250   n  (generally  250 ) to obtain a application instance. Within one or more instances of Application Services  250 , the application instance may include one or more instances of, for non-limiting example, Aspen Plus  252   a ,  252   b , Aspen HYSYS (Hydro Carbon Simulation System)  252   c , Process Information Management System (PIMS)  252   d , or other types of applications or simulators. Multiple application instances  252  may have the same UI or separate UIs. In addition, a Resource Agent Service  231  starts and stops Adapters  251  (where  251  at least includes  251   a ,  251   b ,  251   c , and  251   d ). The adapters  251  adapt application-specific settings and instructions between software languages. The adapters  251  are also used to provide a connectivity mechanism to the ESB  70   a  for a given instance of a simulator  252 . When the application instance  252  and the corresponding adapter  251  are activated, then data such as models, files, or other data from the shared store  240  may be transferred through the ESB  70   a  to the Client Adapter  222 . Once an application instance is established, the Client Adapter  222  has exclusive access to the application. Note, multiple applications may be used, such as HYSYS (Trademark by Assignee) and Aspen Plus (Trademark by Assignee), but this fact is transparent to the user. Based on request parameters and/or other input from Resource Manager  230  and Client Adapter  222 , the system knows which type of application is required and automatically interacts with the correct one. Note, if a deployment does not have any HYSYS applications installed, the Application Service is preferably not seen in the dynamic service bar. The Aspen Service  250  sends replies and other messages to the Client Adapter  222  that the application  252  publishes for the client to read. 
     Note that data from the shared store  240  may include any user-driven data meant for sharing, including but not limited to files or models. Note that both the Application Services  250  and the data from the shared store  240  are not limited to simulation, and other types of applications  252  using other types of Application Services data from the shared store  240  may be used, such as, but not limited to, files, models, application models, process control, planning, scheduling, manufacturing, accounting, manufacturing supply chain (MSC) products, supply chain logistics, anything that requires automation in a plant or process, anything that performs processing of crude oil, or other types. In addition, as shown in  FIG. 2A , multiple service-platform instances (modules)  250  may be used and multiple application instances  252  may be used. Aspen Plus  252   a ,  252   b , and Aspen HYSYS  252   c  each provide a comprehensive process modeling system, and PIMS  252   d  provides a planning and optimization solution. 
     Note also that the application instance may also include both the Adapter  251  and the corresponding Application Instance  252  and may optionally include a Monitor  253 , as shown in  FIG. 2B . The monitor  253  is connected to each adapter  251 /application instance  252  pair, and the monitor  253  monitors both the application instance and the adapter. The monitor  253  may detect failures from either or both the adapter  251  and application instance  252 , thereby serving as an additional self-healing mechanism. The monitor  253  triggers a switchover event in the case of a failure being detected in either the adapter  251  or the application instance  252 . 
     Referring back to  FIG. 2A , the application instance  252  has access to the Shared Store of simulation model information  240 , so the Client Adapter  222  may retrieve simulation data. The Resource Agent  231  runs locally on an Application Service server (supports  250 ). The Resource Agent  231  starts and stops Adapters  251  (where  251  at least includes  251   a ,  251   b ,  251   c , and  251   d ) based on configurations and commands, which may be changed at least at runtime. At startup, the Resource Agent  231  reads its configuration and starts the appropriate number of Adapters  251  which may be implemented as HYSYS Adapters, PIMS Adapters, Aspen Plus Adapters, and/or other types of Adapters. The Adapters  251  initialize and register with the Resource Manager  230 . The Resource Agent  231  has a responsibility to kill/terminate (stop) any application service process (if tasked by the administrator) to keep the machine clear of hanging, slowing, or otherwise misbehaving service threads, or for other reasons. In one embodiment, the “Application” Service Lifecycle is designed to mimic the Desktop Lifecycle, although one skilled in the art may realize that other computer lifecycles may be used. As such, the Resource Adapter  251  is a proxy for the desktop user and starts and stops the respective application instance  252  to help ensure stability and to guard against side-effects. 
     The following is a further explanation of Resource Management from the Client View (generally at  40 ). To a system client  40 , there is a mechanism for sharing a limited set of resources across a group of people where access is exclusive for the period of time that it is in use. This process works a lot like bowling. In order to bowl, a user needs shoes. Shoes are limited resources that require exclusive access; while the user is bowling, no one else may use shows that he is using. A representative assigns a pair of shoes in exchange for something a user wants back, like a driver&#39;s license (or system tokens in the present invention). When the user finishes, the user returns the shoes to a trusted third party, and after some housekeeping, the shoes (a resource) become available again and someone else may check them out. The system Web Application  221 , the trusted third party is the Resource Manager  230  and the Resource Manager  230  oversees a system that is a bit more complex. Like a taxi cab dispatcher, the Resource Manager  230  knows how many cabs are available, how many have riders and how many are “out of service.” Such systems are dynamic and may easily adjust if there are problems. 
     As shown in  FIG. 3 , the Resource Manager  230  manages a pool of resources that includes three classes of resource pools, a Ready Pool  255   a , a Bound Pool  255   b , and a Dead Pool  255   c . The Ready Pool  255   a  includes application resources that are available but not yet in use, the Bound Pool  255   b  includes application resources that are in use, and the Dead Pool  255   c  includes application resources that are considered removed or otherwise defunct. Each resource pool class may be also considered as a state. Preferably, a resource may transition from a ready state to a bound state, from a bound state to a ready state, and from either a bound state or ready state to a dead state. However, in alternative embodiments other state transitions are allowed. 
     Referring back to  FIG. 2A , the Resource Adapter  251  is a smart proxy and handles all system interaction on behalf of the respective Application Instance  252  on initialization, it registers the Service  250  with the Resource Manager  230 . The Resource Manager  230  preferably does not require apriori knowledge of the Adapter  251 . This high level of decoupling makes the proposed approach very dynamic and scalable. 
     The Resource Adapter  251  preferably services user requests after it has been assigned to a specific client; the assignment process is called “binding” and includes a binding ID that drives dynamic routing. The binding ID is held by both the client and the Adapter  251 . A bound Resource Adapter  251  begins to receive user requests for processing and spins up an instance of the application  252 , which checks out tokens. As with any other System Service  250 , the Adapter  251  publishes responses, System Events and Notifications via messaging. 
     The Resource Adapter  251  functions as a proxy for the Service  250  and when not actively servicing requests, the Service  250  instance preferably does not exist. When the Application Instance  252  is brought into being by Adapter  251 , communication occurs via a Case Execution Service (CXS). This pattern allows the Resource Adapter  251  to continue to participate in Automation, System Management and Administrative functions. The Adapter is a stand-alone system component, and like all components, it preferably provides regular status reports even if there is no application currently running Once connected to the backbone, the Resource Adapter  251  provides Service Access  250  by receiving requests, publishing events, responses and notifications on behalf of itself and the application instance. Adapter ( 251 )/Application Instance ( 252 ) communication occurs via CXS which includes but is not limited to, an application programming interface (API). The Adapter  251  includes control logic and sends commands through the CXS to the Application Instance  252  to load, run, query, or otherwise handle the model. 
     Now that context of architectural elements and related terminology is described for  FIG. 2A , a summary of a preferred embodiment of the proposed approach is provided in  FIG. 2C .  FIG. 2C  is used for an illustration of the primary steps of a preferred embodiment/system  280  of the proposed approach. 
     In step  281  of  FIG. 2C , the model (simulation model, application model, or one or more files) is setup for a given user. Initially, a baseline model  271  is added to the shared store  240 , or the baseline model  271  is pre-existing in the shared store  240 . The client adapter  222  requests a resource from the resource manager  230 , the request is granted, an associated application adapter  251  is added to the bound pool, a binding ID is assigned from the resource manager  230  and held by the client adapter  222  and the adapter  251 . An associated application instance  252  is established by a command from the adapter  251 . Each application instance  252  is paired with an adapter  251  that controls the application instance  252  and handles communication between the application instance  252  and the client adapter  222 , the resource manager  230 , and the corresponding resource agent  231 , as shown in  FIG. 2A . The adapter  251  is between the application instance  252  and the client adapter  222 , resource manager  230 , and the resource agent  231 , as shown in  FIG. 2A . A bi-directional traffic communication path from the client adapter  222  to the application instance  252  is established through the ESB  70   a  connected to an adapter  251  that is coupled with the application instance  252  as shown in  FIG. 2A . The resource manager  230  allows this bi-directional traffic communication path, thereby allowing an association between the application instance  252  and the model  271  at the client adapter  222 . In a preferred embodiment, bi-directional traffic between the client adapter  222  and the application instance  252  passes through the resource manager  230  and the resource manager  230  acts as a gate for the bi-directional traffic, thereby allowing an association between the model at the client adapter  222  and the application instance  252 . The application instance  252  retrieves the baseline model  271  from the shared store  240  and delivers this model for viewing to a given client adapter  222  through a given user interface  40 . 
     In step  282 , one or more users, each on different client adapters  222 , each make different changes  270  to the same baseline model  271  through either the same or different user interfaces  40 . One or more users may make changes through a given user interface  40  and a given client adapter  222 , multiple user interfaces  40  with a single client adapter  222 , or multiple user interfaces  40  with multiple client adapters  222 . One or more users may have access to the same baseline model  271  either through the same application instance  252  or different application instances ( 252   a  and  252   c  for example). 
     In step  283 , changes are saved. In an alternative embodiment, the baseline  271  may be modified directly and saved to the shared store  240  with changes. However, in a preferred embodiment, the baseline  271  is preferably not modified in the shared store  240 . For a given user, the first set of changes  270   a  to the baseline model is saved, upon a save operation, to a user-authenticated user preference storage  210  (also known as content storage) and locally within the simulation web application  221   d  on the web server  220  (and preferably to hardware memory on the web server). For a given user, a second set of changes  270   b  is saved locally to the simulation web application  221   d , including any changes made since the last save operation. Multiple changes  270   a ,  270   b , may be saved for either individual users or multiple users, using the same or different user preference storage  210  and the same or different client adapter  222  and the same or different user interfaces  40 . In the preferred embodiment of the invention, changes are private and a given user may not overwrite the changes of another given user. In another embodiment, a single user or multiple users may merge changes, share changes, and share copies of changes, where changes include single changes, multiple changes, single sets of changes, or multiple sets of changes, including both changes  270   a  saved through one or more save operations, and changes  270   b  since the one or more save operations. At a given user interface  40 , a given user may view another set of the given user&#39;s changes, or view another user&#39;s changes (both changes  270   a  and  270   b ) and choose to merge zero or more of these changes. In an alternative embodiment, a user may also store changes to a baseline model, directly to the shared store  240 , although saving changes to shared store  240  is not the preferred approach. 
     In step  284 , the resource manager  230  listens for, and detects a loss a periodic heartbeat message from an application instance  252 , triggering a switchover event (which may include a failover event) that identifies the application instance  252  as a suspect or failed application instance for removal. Reasons for a switchover event include, but are not limited to, failover, loss or delay of one or more heartbeat messages, proactive failure detection, regular, routine, or non-routine maintenance, through an administration dashboard  40   c  either manually through a user or through an automatic process, or through a combination of automatic process and manual intervention. A switchover event may also result through other means, or other suspicious behavior detected by the resource manager  230  as reported to the resource manager  230  in the form of software messages or hardware control signals across the ESB  70   a . A switchover event may also result from an optional interrogation command sent from the resource manager  230  to the application instance  252  and then the resource manager  230  fails to receive a corresponding expected acknowledgement from the application instance  252 . 
     Additionally, in step  284 , the resource manager  230  may detect one or more switchover events either simultaneously or at different times. The resource manager  230  uses the associated binding ID(s) and identifies any potentially suspect or failed application instance(s)  252  for subsequent repair or removal. In one embodiment, a monitor  253  is connected to each adapter  251 /application instance  252  pair, and the monitor monitors both the application instance and the adapter and the monitor may detect failures from either or both the adapter  251  and application instance  252 , thereby serving as an additional self-healing mechanism. The monitor  253  triggers a switchover event in the case of a failure being detected. The monitor  253  may be implemented as a transient thread object created by the adapter  251 , to watch the adapter  251  and the instance  252  that it created, or, alternatively, the monitor  253  may be created by other means. The monitor may exit after completing its monitoring task. In another embodiment, detection is achieved, and a corresponding switchover event is achieved, through an adapter  251  which determines suspect behavior within itself or within an associated application instance  252 , for example, if a the associated application instance  252  is unable to start up successfully, and the adapter communicates the failure to the resource manager  230  and either takes itself offline or attempts to restart the application instance. In the event that the adapter  251  takes itself offline, the resource agent  231  recognizes the adapter going offline, and restarts a new adapter because the resource agent  231  ensures that the number of running adapters matches a configuration. 
     In step  285 , for each given failed application instance, the system  280  removes the association between the model and the application instance (for example  252   a ). As mentioned earlier, the resource manager  230  acts as a gate allowing an association between the model at the client adapter  222  and the application instance  252 . In step  285 , the association between the model at the client adapter  222  and the identified failed or suspect application instance (for example  252   a ) is removed, through the resource manager  230 . Furthermore, when a switchover event is detected, the resource manager  230  sends commands to the respective corresponding resource agent  231  that it is taking a given adapter  251 /application instance  252  pair out of the resource pool. In a preferred embodiment, in a following parallel step  288 , the resource agent  231  attempts to repair, kill, or kill and restart the failed application instance. 
     In step  286 , the system  280  selects a replacement application (for example  252   b  with associated adapter  251   b ) to replace the identified failed application instance (for example  252   a  with associated adapter  251   a ): this is one method of self-healing. The resource manager preferably uses the same binding ID for the new application instance (for example  252   b ) as was used for the failed application instance (for example  252   a ), and the client  40  is unaware of the restoration process. In alternative embodiments, a different binding ID is used. In a preferred embodiment, the original application instance  252   a  is killed and restarted for future use (self-healing) in step  288 , and in parallel in step  286  the resource manager  230  switches the client  40  over to a new adapter  251   b /application instance  252   b  pair from the ready pool to avoid delays impacting the user for restarting the application instance  252   a.    
     Additionally, in step  286 , in one embodiment, the resource manager initiates a seamless migration sequence, whereby the model is restored to a new replacement application (for example  252   b ) and an associated adapter (for example  251   b ) without any disruption, interruption, modification, or negative effect to the given user&#39;s live service session. The seamless migration sequence involves replacement to the client  40  with a new application instance (for example  252   b ) and removal of a suspect application instance (for example  252   a ). The seamless migration sequence includes, but is not limited to, session replication, mirroring, redundancy, or redundant mirroring for application instances  252 , including, but not limited to, a plurality of adapter  251 /application  252  pairs. The step  285  process results in a new application instance (for example  252   b ) available which replaces the failed application instance (for example  252   a ). In an alternative embodiment, an application instance repair or a kill and restart is performed as part of step  286 , for example, if no additional adapter  251 /application instance  252  pairs are available. 
     In step  287 , now that the given replacement application (for example  252   b ) is setup, the given model is restored into the new given application instance (for example  252   b ) and the new given application instance with the given model allows access to the user client  40 . The client  40 , which is disassociated with the original failed application instance (for example  252   a ) due to step  285 , is now associated with the new replacement application instance (for example  252   b ), as allowed by the resource manager  230  (which acts as a gate as described above). Furthermore, for a given user, the model (or file) is restored by retrieving the baseline  271  from a shared store  240 , retrieving the changes or set of changes due to the save operation(s)  270   a , from the user preference storage  210  or storage for the web server simulation web application  221   d , and retrieving the changes or set of changes since the save operation(s)  270   b  that are stored on the client  40  and locally in the web simulation application on the web server  221   d . If the client  40  has shut down and restarted, for example, in a scenario where a user logs off at one physical location, and logs on at another physical location at a later time, then the changes  270   b  are restored from the user preference storage  210 , the baseline  271  is restored from the shared store  240 , and the baseline  271  and changes  270   b  are restored both to the new application instance (for example  252   b ) and to the client  40 . If the local client  40  is still running, then the changes  270   a ,  270   b , are restored from the simulation web application  221   d , and the baseline  271  is restored from the shared store  240 , and the baseline  271  and changes  270   a ,  270   b  are restored to the new application instance (for example  252   b ) and the baseline  271  is restored to the client  40 . The restoration occurs through a restoration procedure initiated by the resource manager  230 . 
     Next, in step  288 , the resource agent  231  chooses to repair, kill/terminate (preferably), restart, or kill/terminate and restart the failed application instance while the resource manager  230  selects a new application instance. When the resource agent  231  decides, then it notifies the adapter  251  to perform the repair, termination (preferable), restart, or kill/terminate and restart. If the adapter  251  is unavailable or unresponsive, the resource agent  231  may notify the monitor  253  to terminate the application instance  252 . In step  288 , when the adapter  251 /application instance  252  pair is successfully repaired or restarted then it re-enters the resource manager&#39;s ready pool, and this repair and restart is done in parallel with (asynchronously from) the resource manager  230  obtaining the new application instance (for example  252   b ) in step  286 . In a preferred embodiment, repair is not attempted and replacement is performed. In an alternative embodiment, the original application instance (for example  251   a ) is killed and restarted, so the new application instance  251   a  is associated with the same adapter  252   a  as the original application instance  251   a , and has the same adapter  251   a /application instance  252   a  pair as the original application instance. 
       FIG. 4  illustrates a computer network or similar digital processing environment in which the proposed approach may be implemented. 
     Client computer(s)/devices  50  and server computer(s)  60  provide processing, storage, and input/output devices executing application programs and the like. Client computer(s)/devices  50  may also be linked through communications network  70  to other computing devices, including other client devices/processes  50  and server computer(s)  60 . Communications network  70  may be part of a remote access network, a global or local network (e.g., the Internet), a worldwide collection of computers, Local area or Wide area networks, and gateways that currently use respective protocols (TCP/IP, Bluetooth, etc.) to communicate with one another. Other electronic device/computer network architectures are suitable. 
       FIG. 5  is a diagram of the internal structure of a computer (e.g., client processor/device  50  or server computers  60 ) in the computer system of  FIG. 4 . Each computer  50 ,  60  contains system bus  79 , where a bus is a set of hardware lines used for data transfer among the components of a computer or processing system. Bus  79  is essentially a shared conduit that connects different elements of a computer system (e.g., processor, disk storage, memory, input/output ports, network ports, etc.) that enables the transfer of information between the elements. Attached to system bus  79  is I/O device interface  82  for connecting various input and output devices (e.g., keyboard, mouse, displays, printers, speakers, etc.) to the computer  50 ,  60 . Network interface  86  allows the computer to connect to various other devices attached to a network (e.g., network  70  of  FIG. 4 ). Memory  90  provides volatile storage for computer software instructions  92  and data  94  used to implement an embodiment of the proposed approach (e.g., code detailed above). Disk storage  95  provides non-volatile storage for computer software instructions  92  and data  94  used to implement an embodiment of the proposed approach. Central processor unit  84  is also attached to system bus  79  and provides for the execution of computer instructions. 
     In one embodiment, the processor routines  92  and data  94  are a computer program product (generally referenced  92 ), including a computer readable medium (e.g., a removable storage medium such as one or more DVD-ROM&#39;s, CD-ROM&#39;s, diskettes, tapes, etc.) that provides at least a portion of the software instructions for the invention system. Computer program product  92  may be installed by any suitable software installation procedure, as is well known in the art. In another embodiment, at least a portion of the software instructions may also be downloaded over a cable, communication and/or wireless connection. In other embodiments, the invention programs are a computer program propagated signal product  107  embodied on a propagated signal on a propagation medium (e.g., a radio wave, an infrared wave, a laser wave, a sound wave, or an electrical wave propagated over a global network such as the Internet, or other network(s)). Such carrier medium or signals provide at least a portion of the software instructions for the proposed approach routines/program  92 . 
     In alternate embodiments, the propagated signal is an analog carrier wave or digital signal carried on the propagated medium. For example, the propagated signal may be a digitized signal propagated over a global network (e.g., the Internet), a telecommunications network, or other network. In one embodiment, the propagated signal is a signal that is transmitted over the propagation medium over a period of time, such as the instructions for a software application sent in packets over a network over a period of milliseconds, seconds, minutes, or longer. In another embodiment, the computer readable medium of computer program product  92  is a propagation medium that the computer system  50  may receive and read, such as by receiving the propagation medium and identifying a propagated signal embodied in the propagation medium, as described above for computer program propagated signal product. 
     Generally speaking, the term “carrier medium” or transient carrier encompasses the foregoing transient signals, propagated signals, propagated medium, storage medium and the like. 
     While this invention has been particularly shown and described with references to example embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the scope of the invention encompassed by the appended claims.