Patent Document

FIELD OF THE INVENTION 
       [0001]    The presently described embodiments relate to a data collection and synchronization system and methods for collecting endpoint state and analyzing endpoint state in a network. The presently described embodiments disclose a vulnerability processing system and method that provides advantages over previously known solutions. 
       BACKGROUND OF THE INVENTION 
       [0002]    Currently deployed systems for analysis, scanning and auditing of endpoints have issues whether they are based on local endpoint scanning (agent-based) or remote endpoint scanning via a dedicated appliance (agentless). Currently deployed systems have issues with redundant endpoint state requests, endpoint connectivity failure to a server or network, endpoint communication latency if scanned remotely, endpoint resource pressure when being scanned either locally or remotely, endpoint scanning software update management, single point of failure if using a scanning device, overall endpoint state freshness due to network overhead and scanning device overhead combined with concurrency limits of the scanning device. The system and method described herein introduces novel methods to address all of these issues. 
       SUMMARY OF THE INVENTION 
       [0003]    The technology described herein provides a novel system and method for collecting endpoint state and sending it to a network where the endpoint may have intermittent connectivity to the network due to the nature of the form factor or network conditions of the endpoint. Laptops and mobile devices can more readily be managed and monitored using this methodology. To facilitate this methodology, communication is initiated by the endpoint when the endpoint achieves network connectivity and discovers network/server availability. 
         [0004]    In the disclosed system, a superset of state needed for the state rules that are processed in the network is collected from an endpoint, which eliminates the need to propagate state rules to agent-based scanners or remote scanning appliances used in currently deployed systems. The data is collected in passes where a high priority state is collected specifically and at a high frequency and lower priority state is collected in a more generic fashion and at a lower frequency, and data collection is prioritized using a manifest. A manifest may be a set of directions or rules specifying what information is to be collected and at what priority and frequency. For example, priority may mean the order in which groups of state collection rules are processed, or it could mean the order in which applications or device memory areas are processed. Deltas, which represent changes made to the state image since the previous data gathering event, are used to keep the endpoint state in sync with the virtualized image of the endpoint state stored in the network. The state data image is represented as a hash value on the endpoint to reduce impact on the endpoint. These and other refinements provide various advantages over currently deployed systems and methods. Further refinements and novel solutions in the endpoint to network processes, storage and communications are described herein. 
     
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
         [0005]    Reference is now made to the following detailed description of the preferred embodiments, taken in conjunction with the accompanying drawings. It is emphasized that various features may not be drawn to scale. In fact, the dimensions of various features may be arbitrarily increased or reduced for clarity of discussion. In addition, it is emphasized that some components be omitted in certain figures for clarity of discussion. Reference is now made to the following descriptions taken in conjunction with the accompanying drawings, in which: 
           [0006]      FIG. 1  illustrates a block diagram of an embodiment of a system constructed in accordance with the disclosed principles; 
           [0007]      FIG. 2  illustrates the concept of delta generation described in  FIG. 1 ; 
           [0008]      FIG. 3  is a sequence diagram illustrating idempotency of the delta mechanism in accordance with the disclosed principles; and 
           [0009]      FIG. 4  illustrates sequences and data structures for storing data records and associated hashes in client endpoints and in a data repository of the system. 
       
    
    
       [0010]    These exemplary figures and embodiments are to provide a written, detailed description of the inventions set forth by any claims that issue from the present application. These exemplary figures and embodiments should not be used to limit the any claims that ultimately issue in a patent from the present application. 
         [0011]    These exemplary figures and embodiments are to provide a written, detailed description of the inventions set forth by any claims that issue from the present application. These exemplary figures and embodiments should not be used to limit any claims that ultimately issue in a patent from the present application. 
       DETAILED DESCRIPTION 
       [0012]    The technology described herein provides systems and methods for collecting endpoint state and sending it to a network where the endpoint may have intermittent connectivity to the network due to the nature of the form factor or network conditions of the endpoint. Laptops and mobile devices can more readily be managed and monitored using this methodology. To facilitate this methodology, communication is initiated by the endpoint when the endpoint achieves network connectivity and discovers network availability. Further refinements and solutions in the endpoint-to-network processes, storage and communication are described herein. 
         [0013]      FIG. 1  illustrates a high-level block diagram of an embodiment of a system constructed in accordance with the disclosed principles. In the illustrated embodiment, the system includes a data collection and synchronization service  190  connected to endpoints  102 - 112  through a network  180 . An endpoint  102 - 112  can be any device with a network interface, which includes, but is not limited to, mobile devices, laptops, or communication paths to other devices. Network  180  may represent any form of communication network between connected machines and any other network elements, and may also represent a collection of machines or virtual machines operable to provide cloud computing services to users. Network  180  may include a public cloud or a private cloud. Network  180  can include routers, hubs, switches, firewalls, content switches, gateways, call controllers, and/or any other suitable components in any suitable form or arrangement. Network  180  can include, in whole or in part, one or more secured and/or encrypted Virtual Private Networks (VPNs) operable to couple one or more network elements together by operating or communicating over elements of a public or external communication network. In general, network  180  can include any combination of public or private communication equipment such as elements of the public switched telephone network (PSTN), a global computer network such as the internet, an intranet, a local area network (LAN), a wide area network (WAN), or other appropriate communication equipment. 
         [0014]    The data collection and synchronization service  190  may comprise a network interface  144 , a scanner  146 , a management interface  148 , a repository  150 , and a processor unit  156 . Network interface  144  provides an interface for communication with endpoints  102 - 112 . Scanner  146  scans the repository  150  for vulnerabilities and other notifiable changes. Scanner  146  communicates these notifications to management interface  148 , and management interface  148  communicates these notifications to administrative console IT  138  through a secure, encrypted connection  164 . 
         [0015]    In the illustrated embodiment, endpoints  102 ,  104 ,  106 ,  108 ,  110  are within an enterprise network protected by a firewall. Endpoints  102 ,  104 ,  106 ,  108 , and  110  may comprise: state images  114 ,  116 ,  118 ,  120 , and  122 , respectively; analyzing agents  166 ,  168 ,  170 ,  172 , and  174 , respectively; and databases  178 ,  180 ,  182 ,  184 , and  186 , respectively. As examples, endpoint  102  may operate on a Microsoft operating system and endpoint  104  may operate on a Macintosh operating system. Endpoints  102 ,  104  are connected to web server  140  within the enterprise network. Endpoint  106  may run on an iOS (iPhone, iPad) mobile operating system, endpoint  108  may run on an Android operating system, and endpoint  110  may run on a BlackBerry operating system. Endpoints  106 - 110  are connected to web server  142  within the enterprise network. Endpoint  112  is outside of the enterprise network but is still connected to the network  180 . Endpoint  112  may comprise state image  124 , analyzing agent  176 , and database  188 . While the above references particular operating systems, the disclosed embodiments could work with any number of presently known or later-developed operating systems without limitation. 
         [0016]    Endpoints  102 - 112  may each have an analyzing agent  166 - 176 , respectively. The analyzing agent  166 - 176  should be understood to refer to a general operating software agent of any kind and not specifically tied to any specific product or software agent later developed by applicant. Each analyzing agent  166 - 176  may be a particular software agent or application programming interface (API) and may further act as a unique identifier for the respective endpoint  102 - 112  on which it resides. When analyzing agent  166 - 176  is installed on an endpoint  102 - 112 , there may be one or more identifiers associated with the analyzing agent  166 - 176 . The identifier(s) may be universal identifiers, such as GUIDs. In an exemplary embodiment, analyzing agent  166 - 176  may have a customer identifier and a unique identifier, although other identifiers are possible. The identifier(s) may allow the data collection and synchronization service  190  to identify which endpoint  102 - 112  is which in a corporate network. If a particular endpoint  102 - 112  is turned off or is disconnected from the corporate network (e.g., if a client turns off his or her endpoint  102 - 112  and/or takes it home to do work), the data collection and synchronization service  190  can determine the last time that the endpoint  102 - 112  was connected to the network  180 . Although there may be differences in each analyzing agent  166 - 176  depending on the target platform of the endpoint, each analyzing agent  166 - 176  may have a consistent communication interface and underlying storage, prioritization, and filtering schemes. The analyzing agent  166 - 176  may share a common format and interface for uploading information to the web service  154 . Exemplary embodiments for these identifiers are further described herein below. 
         [0017]    Furthermore, endpoints  102 - 112  each have a state image  114 - 124 , respectively. The state image  114 - 124  may comprise state data related to the state and health of the endpoint  102 - 112 . State data may include information such as what is installed on the endpoint  102 - 112 , where it is installed, the password of a particular file, what processes are currently executing, what network connections are currently opening, how much resources are being used, how much memory is free, etc. The state image  114 - 124  may be stored on the endpoint  102 - 112  and on the network service side. The service will eventually merge a delta into a state image and then the endpoint  102 - 112  will do the same. The endpoint  102 - 112  stores a hash of the state for each uniquely identifiable item included in a data gathering event, which is done to keep the size of the snapshot stored on the endpoint  102 - 112  as small as possible to reduce the impact on the endpoint  102 - 112 . Exemplary embodiments for hashing in this context are further described herein below and in connection with  FIG. 4 . 
         [0018]    Analyzing agent  166 - 176  may gather data of the endpoint  102 - 112 , either actively or passively, and compile it into the state image  114 - 124 . For example, analyzing agent  166 - 176  may gather data actively using a periodic data gathering event. In another embodiment, analyzing agent  166 - 176  may gather data passively, which may occur when the operating system tells analyzing agent  166 - 176  that something has changed and analyzing agent  166 - 176  needs to gather data and/or perform an update. 
         [0019]    Once data is gathered, a delta of the state image is sent to a repository  150  within the data collection and synchronization service  190  via various secure, encrypted connections  126 - 136 , respectively. Image transfer may occur when the endpoint  102 - 112  is connected to the network  180 . The repository  150  stores the transferred state images  114 - 124 . A manifest  152  may be provided to analyzing agent  166 - 176  in the repository  150 . In described embodiments, the manifest  152  may be a set of directions or rules specifying what information is to be collected and at what priority and frequency. There can be multiple manifests  152 , and a configuration file is used to describe the manifests  152  to download and the frequency at which they should be processed. In an exemplary embodiment, requirements for data collection may include the requirement that first-level filtering must follow the relevant system API. In other embodiments, there may be optional second-level filtering, priorities (e.g., real-time collection priorities, initial data gathering collection priorities, priorities that are collected and sent after the initial collection, etc.), and frequency requirements (i.e., interval for collection), although other requirements are possible. The manifest  152  may be stored in the repository  150  and is delivered to nodes via the network interface  144 . Although analyzing agent  166 - 176  may check for new configuration updates, which indicate if the currently downloaded manifests  152  are still valid and up to date, periodically, analyzing agent  166 - 176  will deliver what it has rather than trying to respond to a new manifest  152 . The endpoint  102 - 112  will attempt to collect and send state data based on the current manifest  152  and will not block state collection or transmission in order to get an updated manifest  152 . There may be an exception, however, for real-time collection priorities. Exemplary embodiments for data collection are further described herein below. 
         [0020]    Each state image  114 - 124  in the repository  150  has associated with it metadata that corresponds to the data of its respective state image  114 - 124 . For example, metadata may include the date and time of the last backup associated with that state image  114 - 124 . The state images  114 - 124  are synced in the repository  150 , which may be done using hashes. Exemplary embodiments for synchronization in the present system are further described herein below. 
         [0021]    Once the state image  114 - 124  has been transferred to the data collection and synchronization service  190 , the analyzing agent  166 - 176  may generate deltas, which represent changes to the system compared to the current state image  114 - 124  since the previous data gathering event. Deltas require an agreed upon state image version between the endpoint  102 - 112  and the service  190 . When the initial state image  112 - 124  is transmitted to the data collection and synchronization service  190 , if the service  190  and the analyzing agent  166 - 176  do not agree on the last known state, the analyzing agent  166 - 176  will delete a local existing state image and will run a data gathering event that will result in a delta that contains the full collectable state. The service  190  must return the same state image identity that the endpoint  102 - 112  has, otherwise the agent will delete its local state image and will perform a data gathering event that results in rebuilding the state image. Deltas may comprise data to “add,” “update,” or “delete.” Each delta data gathering event on analyzing agent  166 - 176  starts from the last agreed upon state image identity between the endpoint  102 - 112  and the service  190  from the server. Delta collections reference which last agreed upon state image identity between the endpoint  102 - 112  and the service  190  they are reporting from. Exemplary embodiments for delta generation and the use of deltas in the disclosed system are further described herein below and in connection with  FIG. 2 . 
         [0022]    Upon the next data gathering event, deltas may be sent to the repository  150  of the data collection and synchronization service  190  via secure, encrypted connections  126 - 136 . Additionally, there may be a processor unit  156  in the data collection and synchronization service  190 . The processor unit  156  may process vulnerability states, pulses, compliance checks, etc., on-demand (i.e., as needed) or in real-time (i.e., as deltas come in). The deltas may be applied to their corresponding state images  114 - 124  in. Furthermore, any scanning for vulnerabilities must be done against the state image not the delta as the delta may not fully describe an object just an update to an object or part of an object. The deltas are applied by merging them into the existing snapshot or state image on the server. Exemplary embodiments for merging in this context are further described herein below. 
         [0023]    Having described the architecture of the data collection and synchronization service  190  and its connections to elements in the disclosed system, including endpoints  102 - 112 , the operation of these elements will be explained in further detail. The endpoint state collection and state transmission to the service  190  include the refinements that provide optimizations in both the size and frequency of collected state that must be stored or transmitted. The endpoint state can be further refined to contain uniquely identifiable items within a given context. A context may include, but is not limited to, registry state, file system state or environment variable state. New contexts can be introduced through a method of updating the endpoint&#39;s software. 
         [0024]    The first optimization allows an endpoint to store a hash of the per-item identity and a hash of the per-item information in the local endpoint storage as a snapshot of the endpoint state. In order for synchronization to occur, the local endpoint  102 - 112  needs to store a state image from a data gathering event and must compare the state of the system against the state image upon the next data gathering event. Rather than storing the entire previous state, the disclosed system only stores identity, relationship and state hashes per item within a context. This solution stores the per item identifier in the snapshot stored on the endpoint and reduces the size of the endpoint snapshot and reduce the time needed to perform a delta of the endpoint state by reducing the size of the dataset that must be traversed during the delta process. 
         [0025]    The second state collection optimization allows an endpoint to store the parent item identifier hash in the snapshot for items that have a hierarchical context thereby normalizing the dataset and eliminating the need to include the parent item in a delta when a child item has changed. This solution allows delta processing on child items without updating the endpoint state in the service  190  for the entire context and without updating the endpoint state in the service  190  for parent items within the context. Using a hash creates a storage agnostic identifier for an item that is identical on both the endpoint and the network  180 . This is different than most storage solutions which have a record identifier that is only valid within a specific storage mechanism. By using a hash value for each item that can be used to identify the item and identify the parent child relationship across a storage boundary, further simplifications can be introduced in the delta generation and merging process. A unique identifier can be derived from every step along the hierarchy from the raw data without consulting the service  190 . During the data gathering stage, the endpoint consults with the state image to determine what has changed since the last data gathering event. 
         [0026]    The endpoint  102 - 112  sends a delta for each context to the service  190 . The delta contains the per item identity and per item information as well as the type of change to the item such as add, remove, or update. The service  190  merges the endpoint delta into the network  108  copy of the endpoint snapshot. The service  190  stores the information and identity for each item within a given context for processing and analysis. The endpoint merges the local endpoint copy of the delta to the local endpoint copy of the snapshot when the endpoint has confirmed that the service  190  has successfully merged the delta into the service  190  copy of the endpoint snapshot. The process is idempotent, so the same delta may be run against a server snapshot multiple times and it will not end up in a bad state. Once the service  190  and the endpoint  102 - 112  agree on a state, all subsequent deltas are based off of that last agreed-upon state. For example, an endpoint  102 - 112  and service  190  may both begin at initial state A. After the endpoint  102 - 112  performs a data gathering event, it produces a delta B and sends B to the service  190  and the service  190  is supposed to merge B. Before the service  190  is able to merge B, another data gathering event may occur on the endpoint  102 - 112  and generate delta state C. Once the service  190  has merged C and it&#39;s time for the endpoint  102 - 112  to do another data gathering event, if both the endpoint  102 - 112  and service  190  agree on state C, the next delta will be based on C. 
         [0027]    The present disclosure also provides for the prioritized collection of data using manifests  152 . The endpoint  102 - 112  requests a definition of the state to be collected with the priority it should be collected in the form of state collection rules in a XML document. It should be noted that state collection rules could be implemented in a form other than XML. The state collection rules are partitioned by priority to allow high priority state to be collected separately from lower priority state thereby further reducing the period and size needed to get initial endpoint state. The partitioning of state collection rules could be contained in one document/message or multiple documents/messages. In an embodiment, prioritization may be done by looking at vulnerability signatures. For example, if there is a flight manifest  152  with a list of passengers (i.e., data items within the different contexts) and a certain vulnerability scan is to be run, the first-class passengers will be carried on the first scan and coach passengers will have to take the next flight. In another example, the system might need to check to see whether an endpoint&#39;s  102 - 112  Windows version is up to date, so a data item needs to be collected indicating what Windows version is currently being run. To determine this information, the system will look at the signature and generate a manifest  152  of high priority indicating that data related to what Windows version is being run should be collected, and that it should be collected more frequently as high priority. Thus, the manifest  152  is the mechanism for prioritizing portions of data to virtualize. 
         [0028]    The communication for both the state collection rules and the endpoint state is initiated by the endpoint  102 - 112  to handle cases when the endpoint  102 - 112  does not have connectivity to the service  190 . When the endpoint  102 - 112  requests a manifest  152  it identifies itself and associated customer/entity information so that the data collection policy specific to that endpoint is returned. 
         [0029]    The disclosed embodiments provide various advantages over the prior art. In addition to the advantages previously described, the disclosed system and method manages data for multiple customers. Additionally, analyzing agent is able to attempt to upload changes and check with the data collection and synchronization service  190  when a network connection is available. 
         [0030]      FIG. 2  depicts the concept of delta generation described in  FIG. 1 . State image  200  depicts a state image that is produced upon an initial data gathering event. After changes have been made to the data within the state image, state image  204  is created. State image  204  contains a delta  202  that represents the change made to the data within the state image. Delta  202  is the piece of data that is sent to the repository on data gathering events following the initial data gathering event. 
         [0031]      FIG. 3  is a sequence diagram illustrating processing of the delta mechanism in accordance with the disclosed principles. At action  302 , endpoint  102 - 112  gets a manifest  152  from the service  190 . At action  304 , endpoint  102 - 112  collects a state image delta based on the manifest  152 . At action  306 , if an existing state image does not exist, then the delta contains the state image. At action  308 , endpoint  102 - 112  sends state image delta to service  190  when the service  190  is available. At action  310 , network  180  merges endpoint&#39;s  102 - 112  state image delta into service  190  state image for the endpoint  102 - 112 . At action  312 , if the service  190  does not have a state image for the endpoint  102 - 112 , it creates an empty state image for the endpoint  102 - 112  before merge. At action  314 , endpoint  102 - 112  polls the service  190  for confirmation that state image has been merged. At action  316 , endpoint  102 - 112  merges state image delta into endpoint&#39;s  102 - 112  state image once confirmation is received from the service  190 . At action  318 , endpoint  102 - 112  tells the service  190  to drop last state image delta if it has not been processed yet and data collection interval has expired. The process continues at action  302 . 
         [0032]      FIG. 4  illustrates sequences and data structures for storing data records and associated hashes in client endpoint stores  178 - 186  and in a data repository  156  of the system. In a first action  402  a manifest  152  is sent from the service repository  150  or other associated system elements (e.g., processor unit  156 , interface  144 ) of the data collection and synchronization service  190 . The manifest  152  can include a pathname or other location information to identify the area of the client endpoint (e.g., any of  102 - 112 ) for which there is state image data to be collected. The manifest  152  can include additional instructions for the client endpoint to use in collecting state data, and the analyzing agent  166 - 176  for the corresponding endpoint  102 - 112  would directly or indirectly receive the manifest  152  and process its instructions to collect the state image delta at action  404 . 
         [0033]    At action  406  the collected state image delta information is sent back to the repository  150  for storage therein. Exemplary data to be included therein is illustrated in the record  408 , which shows a matching path to the manifest data (e.g., “c:\windows\winsxs.” Also included in the directory record is a hash of the pathname (or other location information) (in this example “5099292599868706973”). This hash serves as an identification or “ID” for the data record state image delta being transmitted to and stored in the repository  152 . Similarly, as shown in the data record/directory record  410  stored in the client endpoint state image  114 - 124 , this same ID (hash) as transmitted and stored in the repository  152 , so accordingly this hashed ID provides correlated data records between the endpoint devices state images  114 - 124  and the data repository  152 . 
         [0034]    Still referring to action  406  and the data record  408 , the data record  408  also includes a Parent ID hash (in this example, “−751134312072634263”). The Parent ID, where applicable, is a hash of the path of the parent directory for the directory record. Because of the maintenance of this Parent ID hash in the data record  408 , there is an automatic relationship maintained and stored for a directory record and its associated parent directory. Because of this, if a parent directory is updated, the subsidiary directory records scan be automatically scanned or have information gathered from them as appropriate without the system needing to know any specific actual information about the path structure—the system can instead depend on the path dependency built out of the respective hash IDs. In the case of a data record  408  for which there is no parent directory, the, corresponding entry for “Parent ID” could be blank or a defined (non-hashed) value that would implicitly identify the directory record as belonging to a root directory element. 
         [0035]    With still further reference to the data record  408 , other directory properties could be included, and further the change type such as “Upsert” or “Delete.” Because of the unique way the state image deltas are organized, as was previously discussed, particularly in discussions relating to  FIG. 2  above, but also elsewhere above, the “Upsert” change type is used, as in described embodiments it is not necessary to specifically designate if one of the referenced state image deltas is a “new” entry. Specifically, if the image delta corresponds with a directory ID hash that already exists in the repository, the image delta can be treated as an update to be merged into the repository  152 , updating the current record for that ID hash, whereas if the directory ID hash is “new” it can be automatically added to and merged into the repository  152 . In either event, that merging is indicated in  FIG. 4  as action  412 . 
         [0036]    During the merging of the state image deltas into the repository  150 , there is a “handshake” communications process (action  414 ) between the endpoint client device (e.g., one of  102 - 112 ) and the service repository  150  or other associated system elements (e.g., processor unit  156 , interface  144 ) of the data collection and synchronization service  190 . The handshake process  414  is to confirm the merger of the state image deltas  408  into the service repository  150 . Once the handshake process  414  is completed, then the state image record  410  is also merged (at step  416 ) into the corresponding endpoint state image store  178 - 188 . The present embodiment shows directory records, which is a subset of various possible separate state image records stored in accordance with the presently described embodiments. Other state image records that would be stored include but are not limited to registry states, file system states or environment variable states. In the present directory record example, the records stored in the endpoint state image store  178 - 188  have corresponding ID hashes and Parent ID hashes that match those transmitted to and stored in the repository  152 . The illustrated client endpoint data records  418  are also showing in  FIG. 4 , showing an exemplary organization that shows an ID hash, a Parent ID hash, and a state hash for each directory location. Note that these are abbreviated records relative to the more full corresponding records stored in the repository  152 . This is because the client endpoint records  418  may be used solely to reflect the last version of state that was merged into the service repository  152 , and if that entry is not updated then it should then be updated, transmitted, and merged as described above in the case of a transmitted manifest  152  requesting the image state for that location. 
         [0037]    Still referring to  FIG. 4 , illustrated there is an exemplary set of repository directory records  420 , which in the illustrated example for each record includes an “ID Hash,” “Parent ID Hash” (where applicable), “Path” and other properties. Note that the Parent ID hash can be used to establish a directory/subdirectory relationship between such connected records as indicated by the arrow  422  in the figure. As described above, these relationships can be used to efficiently clear out or confirm that updated statuses are needed for child directories (or parent directories) when their corresponding related directory entries are updated. 
         [0038]    While various embodiments in accordance with the disclosed principles have been described above, it should be understood that they have been presented by way of example only, and are not limiting. Thus, the breadth and scope of the invention(s) should not be limited by any of the above-described exemplary embodiments, but should be defined only in accordance with the claims and their equivalents issuing from this disclosure. Furthermore, the above advantages and features are provided in described embodiments, but shall not limit the application of such issued claims to processes and structures accomplishing any or all of the above advantages. 
         [0039]    For example, as referred to herein, the cloud may comprise the security service  190  and the Internet  180 . As referred to herein, a machine may be a virtual machine, computer, node, instance, host, or machine in a networked computing environment. Also as referred to herein, a networked computing environment is a collection of machines connected by communication channels that facilitate communications between machines and allow for machines to share resources. Also as referred to herein, a server is a machine deployed to execute a program operating as a socket listener and may include software instances. 
         [0040]    Resources may encompass any types of resources for running instances including hardware (such as servers, clients, mainframe computers, networks, network storage, data sources, memory, central processing unit time, scientific instruments, and other computing devices), as well as software, software licenses, available network services, and other non-hardware resources, or a combination thereof. 
         [0041]    A networked computing environment may include, but is not limited to, computing grid systems, distributed computing environments, cloud computing environment, etc. Such networked computing environments include hardware and software infrastructures configured to form a virtual organization comprised of multiple resources which may be in geographically disperse locations. 
         [0042]    While HTTP communication protocols may be described herein, the coverage of the present application and any patents issuing there from may extend to other local-area network, wide-area network, or other network operating using other communications protocols. 
         [0043]    Services and applications are described in this application using those alternative terms. Services can be java services or other instances of operating code. A service/application is a program running on a machine or a cluster of machines in a networked computing environment. Services may be transportable and may be run on multiple machines and/or migrated from one machine to another. 
         [0044]    Various terms used herein have special meanings within the present technical field. Whether a particular term should be construed as such a “term of art,” depends on the context in which that term is used. “Connected to,” “in communication with,” or other similar terms should generally be construed broadly to include situations both where communications and connections are direct between referenced elements or through one or more intermediaries between the referenced elements, including through the Internet or some other communicating network. “Network,” “system,” “environment,” and other similar terms generally refer to networked computing systems that embody one or more aspects of the present disclosure. These and other terms are to be construed in light of the context in which they are used in the present disclosure and as those terms would be understood by one of ordinary skill in the art would understand those terms in the disclosed context. The above definitions are not exclusive of other meanings that might be imparted to those terms based on the disclosed context. 
         [0045]    Words of comparison, measurement, and timing such as “at the time,” “equivalent,” “during,” “complete,” and the like should be understood to mean “substantially at the time,” “substantially equivalent,” “substantially during,” “substantially complete,” etc., where “substantially” means that such comparisons, measurements, and timings are practicable to accomplish the implicitly or expressly stated desired result. 
         [0046]    Additionally, the section headings herein are provided for consistency with the suggestions under 37 C.F.R. 1.77 or otherwise to provide organizational cues. These headings shall not limit or characterize the invention(s) set out in any claims that may issue from this disclosure. Specifically and by way of example, although the headings refer to a “Technical Field,” such claims should not be limited by the language chosen under this heading to describe the so-called technical field. Further, a description of a technology in the “Background” is not to be construed as an admission that technology is prior art to any invention(s) in this disclosure. Neither is the “Summary” to be considered as a characterization of the invention(s) set forth in issued claims. Furthermore, any reference in this disclosure to “invention” in the singular should not be used to argue that there is only a single point of novelty in this disclosure. Multiple inventions may be set forth according to the limitations of the multiple claims issuing from this disclosure, and such claims accordingly define the invention(s), and their equivalents, that are protected thereby. In all instances, the scope of such claims shall be considered on their own merits in light of this disclosure, but should not be constrained by the headings herein.

Technology Category: 5