Abstract:
A system and method for data backup over a network has been developed. The method includes creating a baseline copy of the data files that are to be archived. When the data is subsequently being backed up, the system checks for the presence of newly added files by comparing the sort order of the present data files with the sort order of the baseline copy. Any newly added files are then saved to the baseline copy. The system checks for any changes in existing files by comparing the hash numbers of the present data files with the hash numbers of the data files in the baseline copy. Any changed files are then merged into their corresponding data files in the baseline copy.

Description:
CROSS-REFERENCE TO RELATED APPLICATIONS  
       [0001]    This application claims priority from a U.S. Provisional Patent Application entitled “Systems and Methods for a Data Backup Over a Network” that was filed on Sep. 20, 2001. 
     
    
     
       BACKGROUND OF INVENTION  
         [0002]    1. Field of the Invention  
           [0003]    The invention relates generally to computer software. More specifically, the present invention provides for methods and systems for electronic data archival, backup and recovery over a network.  
           [0004]    2. Background Art  
           [0005]    A great deal of information is stored electronically and must be backed up or archived in a systematic fashion to protect against the loss of critical data. The traditional process of data archival and/or backup involves writing a copy or mirror image of the data to a tape or other data storage device on a regularly scheduled basis, often nightly. Once the data is copied to the data storage device, the data storage device is physically moved off-site to another, secure location where it is stored. If the original data is lost or corrupted, a copy of the data is available and can be retrieved from the off-site location. A drawback to the traditional back up process is that it is cumbersome and time-consuming. In addition, as the amount of data being backed up increases, the number and cost of storage devices needed to keep copies of the data increases as well.  
           [0006]    Another back up process that has grown increasingly popular in recent years involves the use of wide are networks to transmit back up data to a secure site. Data management companies, such as EVault, Inc. now provide backup and archival services to allow a company to transmit backup data to a data manager on a regularly scheduled basis. The backup data is usually encrypted to protect against the release of proprietary information and a third-party data storage manager handles the storage and recovery of the business data. By sending information to a third-party data storage manager, a company avoids the cost of paying for and maintaining its own data storage system and can take advantage of the economies of scale available to a data storage manager.  
           [0007]    A drawback to the process of transmitting backup data to a data storage manager over networks like the internet is the length of transmission. In many cases, the amount of data to be backed up exceeds the capacity of the communication line between a company and its data storage manager. When large or numerous files are involved, the traditional data backup process of copying or mirroring an entire data system requires a great deal of time and/or a tremendous amount of bandwidth, neither of which is typically available. Furthermore, only a small percentage of the files typically need to be backed up per session. One of the ways used to address this problem involves the use of delta extraction algorithms. A delta extraction algorithm monitors the changes made to the data files of a company between backups and rather than transmitting the entire file, transmits only the changes to the file. This results in a much quicker backup process as files that are unchanged are not transmitted. Additionally, it reduces the amount of storage needed for a backup.  
           [0008]    For example in some delta extraction processes, selected files are processed in a depth first order, ascending alphabetically. For example, a “C:” drive under Windows NT might be processed in the following order:  
           [0009]    C:\autoexec.bat  
           [0010]    C:\boot.ini  
           [0011]    C:\Dir 1 \ 
           [0012]    C:\Dir 1 \Data 1 .dat  
           [0013]    C:\Dir 1 \Data 2 .dat  
           [0014]    C:\Dir 1 \Sub 1 \Image 1 .bmp  
           [0015]    C:\Dir 1 \Sub 1 \Image 2 .bmp  
           [0016]    C:\Dir 1 \Text 1 .dat  
           [0017]    C:\Dir 1 \Text 2 .dat  
           [0018]    C:\Dir 2 \Data 1 .dat  
           [0019]    C:\Dir 2 \Data 2 .dat  
           [0020]    C:\Dir 2 \Image 1 .bmp  
           [0021]    C:\Dir 2 \Image 2 .bmp  
           [0022]    C:\pagefile.sys.  
           [0023]    These files are sequentially compared against a delta mapping file (DTA), using alphabetic comparisons to determine if a file is new or part of a prior backup. Next, like files are compared block by block to see if the file had been changed (“delta changes”) since the last backup. If a new file is discovered, it is copied in its entirety. Files that were deleted in the interim since the last backup are ignored and are no longer used as part of future backups. Once this sometimes lengthy process is completed, the data is transmitted from a client application to a server (file names and changed/new blocks of data).  
           [0024]    At the server, files included in the backup are processed in the order in which they were backed up, depth first order, ascending alphabetically. These files are sequentially merged with the previous backup data, using alphabetic comparisons to determine if a file is new or part of a prior backup. Like files are merged or indexed block by block to update and verify the new delta block changes. New files, those that were not present in any of the prior backups, are merged in their entirety. Deleted files are ignored, that is, treated as no longer part of the backup data.  
           [0025]    Not withstanding the use of a delta extraction algorithm, backup processes can take a long time when large amounts of data are involved and when a backup of a complex or extensive data system is involved. Some sub-directories may contain upwards of 10,000 separate files and take so long to sort that problems such as slowdowns, timeouts, or even system crashes frequently occur. Client-side applications known in the art that perform the delta extraction algorithms rely heavily upon sorting routines. These routines sort a log of file changes to allow the changes to be matched with the baseline files that are stored off-site by the data storage manager. The client-side process of extracting the changes and transmitting the log is often time-consuming.  
         SUMMARY OF INVENTION  
         [0026]    In some aspects, the invention relates to a method for storage of data files, comprising: creating a baseline copy of the data files, where each baseline data file has a sort order position and a hash number; performing a backup session with at least one updated data file, where each updated data file has a sort order position and a hash number; determining if the updated data file does not exist as any baseline data file by comparing the sort order positions of the baseline data files with the sort order positions of the updated data files; wherein if the updated data file does not exist as any baseline data file, the updated data file is added to the baseline copy of data files; determining if the updated file is an new version of any baseline data file by comparing the hash numbers of the baseline data files with the hash numbers of the updated data files; and wherein if the updated file is a new version of any baseline data file, the updated data file is merged with the baseline data file in the baseline copy of data files.  
           [0027]    In other aspects, the invention relates to a method for storing data files, comprising: step of creating a baseline copy of the data files; step of running a backup session with updated data files; step of identifying and adding new backup data files to the baseline copy of data files by comparison of sort order positions; and step of identifying and merging a pre-existing backup data file into a corresponding baseline data file by comparison of hash numbers.  
           [0028]    Other aspects and advantages of the invention will be apparent from the following description and the appended claims. 
       
    
    
     BRIEF DESCRIPTION OF DRAWINGS  
       [0029]    It should be noted that identical features in different drawings are shown with the same reference numeral.  
         [0030]    [0030]FIG. 1 shows one embodiment of a method of incremental data storage and backup in accordance with the present invention.  
         [0031]    [0031]FIG. 2 shows one embodiment of a method of differential data storage and backup in accordance with the present invention. 
     
    
     DETAILED DESCRIPTION  
       [0032]    In accordance with an embodiment of the present invention, a new process for backing up data using a network includes the steps as described hereafter. The process involves receiving data files for an initial backup and later receiving periodic backups or updates of new additions and changes to the data files. During these backups, the process analyzes the new data and determines whether to insert the data as a new file; merge it into an updated file with its earlier version; or skip a file that is unchanged.  
         [0033]    Typical computer operating systems will deliver data files in a consistent and non-random order. For example, at a client application, selected files are processed in depth first order as they appear in the file system so that no alphabetical sorting is performed. Using the files of the previous sorting example, a “C:” drive under Windows NT might be processed as follows:  
         [0034]    C:\autoexec.bat  
         [0035]    C:\pagefile.sys  
         [0036]    C:\Dir 1 \ 
         [0037]    C:\Dir 1 \Data 1 .dat  
         [0038]    C:\Dir 1 \Data 2 .dat  
         [0039]    C:\Dir 1 \Text 2 .dat  
         [0040]    C:\Dir 1 \Sub 1 \Image 1 .bmp  
         [0041]    C:\Dir 1 \Sub 1 \Image 2 .bmp  
         [0042]    C:\Dir 1 \Text 1 .dat  
         [0043]    C:\Dir 2 \Data 2 .dat  
         [0044]    C:\Dir 2 \Image 2 .bmp  
         [0045]    C:\Dir 2 \Image 1 .bmp  
         [0046]    C:\Dir 2 \Data 1 .dat  
         [0047]    C:\boot.ini  
         [0048]    The sort order of these files is tracked by a system “pointer”. The pointer is a variable that contains the address location of data files rather than the data itself. The value of the pointer may typically be expressed as a number (e.g., 0001, 0002, 0003, etc.). As files are inserted or deleted in a directory or subdirectory, the value of the pointer for each file is adjusted accordingly to reflect any change in the address location of that file. Typically, files that are added to the sort order are given a higher pointer value.  
         [0049]    In one embodiment of the present invention, the system begins by saving all of the data files in a “safeset”. The safeset serves as a baseline copy of the data and it is periodically updated by the storage manager. During a subsequent backup procedure, the system uses the sort order of the safeset to determine if a present file to be updated already exists within a previous backup. This is accomplished by comparing the pointer values for the updated files with the safeset data files in accordance with the sort order of both sets of files. If the pointer value of present backup file is greater than the pointer value of the present safeset file, then the present updated file is a new file and it is saved as an additional file to the safeset. This procedure works because the files are delivered in the same sort order by the operating system. Consequently, any change in the pointer value of an additional file will be detected by a difference in the value of pointers for the data files in the safeset.  
         [0050]    The system establishes a heuristic hashing index to determine if the present file is an update of a pre-existing file in the safeset. Hashing is an algorithm that detects changes in a data file by creating a “hash total” of numbers. The hash total is created by adding numbers taken from various points in the data. This total is compared with a previously created hash total for the same file. Any change in the data file will result in a different hash total because the numbers that are added to determine the total will be changed and/or moved to different locations in the file. Consequently, if the hash totals are different, the data has been changed and the file must be updated in the safeset.  
         [0051]    A hashing index contains the previous hash totals for each file in the safeset. This index is typically created along with the safeset to provide a baseline hash total for each data file in the safeset. The system determines if the present file is an update of an existing file by comparing the hash total of the present updated file with the hash total of the corresponding file in the safeset. If the two hash totals are different, the data of the file has changed since the previous backup. The present file is then merged with the pre-existing file and saved to the safeset as an updated file. Also, the hashing index is updated with the new hash total for use during subsequent backups. However, if the hash totals of both files are the same, then the data in the file has not been updated and the file is skipped.  
         [0052]    In further embodiments of the present invention, the storage of the data files in the safeset is optimized for economy and efficiency. The cost of different types of storage media varies. Examples of storage media, in order of access speed, include: RAID disc; optical; nearline; and tape. Generally, the faster storage media is more expensive. Consequently, it is advantageous to store infrequently accessed and/or updated data files in less expensive and slower storage media.  
         [0053]    In some embodiments of the present invention, the system monitors the access frequency for each data file. Data files are then grouped according to this access frequency. The least frequently accessed group of data files is moved to the least expensive storage areas while the most frequently accessed group of data files is moved to the faster storage areas. This process will maximize economic benefit by lowering storage costs while minimizing retrieval and backup delays by utilizing the different storage media most efficiently. The monitoring of the access frequency is an ongoing procedure and the system will move files among the storage areas accordingly as their individual access frequency changes.  
         [0054]    In alternative embodiments of the present invention, different storage processes are used. FIG. 1 shows a method  10  of incremental data storage and backup. Incremental data storage involves periodically updating the safeset and deleting the incremental data after the update of the safeset is complete. The first step of the method is to create a safeset  12  that functions a baseline copy of all of the data files to be stored. Next, upon starting an update session to backup the data, each individual file to be backup is checked  14  to see if it falls into one of three categories: it is a new file; it is an update of an existing safeset file; or it is a file with no changes in its data. Any new files are identified  18  by comparing the values of their pointers as previously described. If a new file is identified, it is added to the safeset  20 . Any updates to existing safeset files are identified  22  by comparing the hash totals of the files with the totals in the hash index as previously described. If a file&#39;s data has changed, the changes are merged with the existing safeset file  24 . If a file is not new and its data has not changed, the file is skipped  26 . The process continues until the last file is checked  28  and then the process is stopped until the next update session.  
         [0055]    [0055]FIG. 2 shows a method  30  of differential data storage and backup. Differential data storage involves identifying and storing updates and additions separately from the data files in the safeset. The updates are not added or merged with the files from the safeset until the specific data file is retrieved. As with the previous method shown in FIG. 1, the first step of the present method is to create a safeset  32  that functions a baseline copy of all of the data files to be stored. Next, upon starting an update session to backup the data, each individual file to be backup is checked  34  to see if it falls into one of three categories: it is a new file; it is an update of an existing safeset file; or it is a file with no changes in its data. Any new files are identified  38  by comparing the values of their pointers as previously described. Any updates to existing safeset files are identified  40  by comparing the hash totals of the files with the totals in the hash index as previously described. New files and updates to existing files are then stored separately from the data files of the safeset  42 . If a file is not new and its data has not changed, the file is skipped  44 . The process continues until the last file is checked  46  and then the process is stopped until the next update session.  
         [0056]    It should be noted for both methods  10  and  30  described in FIGS. 1 and 2, that the first steps of creating a safeset  12  and  32  are only performed during the initial archival of the data files. Subsequent periodic backup sessions will skip this procedure and merely refer to the previously established safeset to determine the backup status of the existing files.  
         [0057]    In alternative embodiments of the present invention, the safeset of data files is broken down into segments for storage. This process may be done for more economical and efficient storage as previously described. The safeset is broken down into segments that are stored in a safeset pool. In addition to the pool files themselves, the pool will include a pool file location list. This list stores the names, locations, etc. of the various segments. If the differential data storage method described in FIG. 2 is used, a pool index file is also created that lists all versions and updates of the pool files.  
         [0058]    The use of these methods to determine if a file is new or if a file is an update is advantageous in its speed and efficiency. The process of comparing pointer values and comparing hash totals is a faster and more efficient way to determine if data needs to be updated in a series of files than individually comparing the data blocks of a file.  
         [0059]    While the invention has been described with respect to a limited number of embodiments, those skilled in the art, having benefit of this disclosure, will appreciate that other embodiments can be devised which do not depart from the scope of the invention as disclosed here. Accordingly, the scope of the invention should be limited only by the attached claims.