Symantec Operating Corporation

Vmware, Inc.

Symantec Corporation

Anoosmar Technologies Private Limited

Vaultize Technologies Private Limited

Yusuf Batterywala

Amol Manohar Vaikar

Ankur P Panchbudhe

Praneeth Siva

Sree Hari Nagaralu

Ravi Singhal

Nookala Sunder Phani Kumar

Naga Kishore Kommuri

Manish Malik

Ganesh Jayvant Wagle

Described herein are systems, methods, and software to manage the compression of route tables for communication between networking elements. In one implementation, a network device identifies network keys for a route table by replacing attributes in the tables with values. The network device further generates a compressed route table using the route keys and associating each of the route keys with one or more additional attributes. The network device also generates a dictionary to associate each of the values for the route keys to a corresponding attribute of the attributes.

Compression of route tables using key values

The embodiments herein relate to discrete data containers and, more particularly, to management of data stored in discrete data containers. Embodiments herein disclose methods and systems to update data present within a data container, when a user accessing the data, present within the data container, has updated the data. Embodiments herein disclose a method and system for enabling modifications of data present in data containers, wherein de-containerized data associated with a data container can be modified by at least one user and the modifications by the user can be reflected in real-time to the data in the data container.

Methods and systems for management of data stored in discrete data containers

Disclosed herein are a method and a system for discrete data containerization for Information Rights Management. The system identifies based on a user request, data to be containerized. Further, the system receives at least one rule based on the data and attributes, which is to be used for containerizing the data. Further, using the rule, the system containerizes the data, wherein the data is containerized at individual data level.

Information rights management using discrete data containerization

A method for integrating data deduplication with block level incremental data backup is described. In one embodiment, the method includes accessing from memory at least one modified data block of a file, wherein the file is partitioned into a plurality of deduplication segments, identifying at least one deduplication segment that corresponds with the at least one modified data block, computing using at least one processor a signature for each deduplication segment of the at least one corresponding deduplication segment and comparing using at least one processor each signature that is associated with the at least one corresponding deduplication segment with signature information that is associated with backup data to identify at least one duplicate data block within the backup data and the at least one modified data block.

Method and apparatus for integrating data duplication with block level incremental data backup

A system and method for automatically reorganizing files to avoid the problem of file fragmentation. At an appropriate time, such as when an I/O request to write to a file is received, the file may be marked as possibly being in need of reorganization. The system may later determine that the file was marked for possible reorganization and may examine the file to determine whether the file is actually in need of reorganization, i.e., whether the file is fragmented. If so, then the file may be automatically reorganized to eliminate the fragmentation. In another embodiment, files may first be checked to determine whether they are actually in need of reorganization before being marked. The method may benefit a computer system by automatically detecting and reorganizing fragmented files on an individual file basis.

Computer system operable to automatically reorganize files to avoid fragmentation

A method and apparatus for utilizing a file change log is described. In one example, the access of a file is initially detected. The identifier of the entity accessing the file is recorded. Similarly, an indicia of identifying at least one portion of the file that was accessed by the entity is recorded. The file change log is then updated to reflect the identifier and the indicia.

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Pune, India

Yusuf Batterywala