Clumio, Inc.

Emc IP Holding Company LLC

Emc Corporation

Altera Corporation

Comm Vault Systems, Inc.

Hung Hing Anthony Pang

Fabiano C Botelho

Nitin Garg

Dhanabal Ekambaram

Rishabh Sharma

Woon Ho Jung

Lawrence Jaemyung Chang

Poojan Kumar

Kaustubh Sambhaji Patil

Amber Palekar

Binh Vo

Jayabrata Ghosh Dastidar

Adam J Wright

Deepak Chawla

Paul J Tracy

Xia Hua

Souvik Ghosh

Michael Harms

Woonho Jung

Ajay Nagarandal

John Stewart

Aniruddh Poornabodha Bharadwaj

Raghav Anand

Chandan Sajjan Agarwal

Nicholas Gerald Zehender

Maadhav Kaushal Shah

Deepan Balajhi Saravanan

Richa Sehgal

Michal Stanislaw Ostrowski

Kanwaljeet Sachdev

Monoreet Mutsuddi

Daniel Michael Hecht

A cloud-based data protection service is disclosed. In an embodiment, the data protection service may support backup of data sets from one or more sites associated with one or more organizations. In an embodiment, deduplication of backup data across multiple sites of an organization and/or multiple sites associated with different organizations may be supported. In an embodiment, backup data may be post-processed in the cloud to insert fingerprints corresponding to data blocks that did not change since a previous backup was performed, to scan the backup for security threats such as viruses, other malware, personally identifiable information, etc. In an embodiment, restore may be supported from the cloud, where restore blocks may be larger than backup data blocks. In another embodiment, restore may be based on blocks that have changed since the most recent backup (or a user-selected backup).

Change-based restore from a cloud-based data protection service

Techniques are disclosed relating to providing protection groups and rapid determination of expired objects and associated storage resources in a cloud-based backup storage context. In various embodiments, the disclosed techniques include generating, by a computing system, incremental backup data for a backup based on protection group information, including a set of cloud-based key-value data store buckets, filter information, and policy information. Disclosed techniques also include rapid determination of expired objects and associated storage resources. Disclosed techniques may advantageously provide a centralized view across buckets, accounts, and regions and allow users to target specific subsets of their data stores for backup, which may improve performance and reduce backup storage costs, relative to traditional techniques.

Protection groups for backing up cloud-based key-value stores

Post-processing in a cloud-based data protection service

Cloud-based data protection service

Selective repair of fragmentation in a synthetic backup, based at least in part on a dynamically-determined repair criteria, is disclosed. In various embodiments, a locality measure is computed with respect to a group of segments comprising a portion of a file. The computed locality measure is compared to an at least partly dynamically determined fragmentation repair criteria, and a repair decision is made based at least in part on the comparison.

Selective fragmentation repair

Fragmentation repair of synthetic backups is disclosed. In various embodiments, a locality measure is computed with respect to a group of segments comprising a portion of a file. The computed locality measure is compared to a repair criteria. A decision whether to repair fragmentation of segments comprising the group is made based at least in part on the comparison.

Fragmentation repair of synthetic backups

Opportunistic repair of fragmentation in a synthetic backup is disclosed. In various embodiments, data generated to perform processing other than fragmentation repair is received. At least a portion of the received data is used to compute a locality measure with respect to a group of segments comprising a portion of a file. A decision whether to repair fragmentation of segments comprising the group is made based at least in part on the computed locality measure.

Opportunistic fragmentation repair

A method for generating automatic design characterization patterns for integrated circuits (IC) is provided. The method includes selecting a routing scheme from a file containing the device description of the routings of the IC. The routing scheme may be of a phase locked loop, clock tree, delay element, or input output block in one embodiment. Resource types for the routing scheme are identified and a path is defined, within constraints, between the resources. Once a path is defined, alternate paths are defined by retracing the path within constraints from an end of the path to the beginning of the path. An alternative path is then built and the alternative path shares a portion of the path previously defined. A computing system providing the functionality of the method is also provided.

Method and system for semiconductor device characterization pattern generation and analysis

Programmable circuits have a programmable interconnect structure that connects programmable circuit elements. Tests patterns can be automatically generated for the programmable circuit elements and interconnections on a programmable circuit. A connectivity graph represents programmable interconnections and functions as nodes. Tests routes are generated that connect the nodes in the connectivity graph between control points and observation points on the programmable circuit. The routes are grouped into configuration patterns that can be tested in one test cycle. Test vectors are then applied to the routes to determine if the interconnects and circuit functions are operable. Systems and methods of the present invention automatically create test patterns for a programmable circuit to reduce engineer time. The present invention also reduces test time and resources by increasing the number of interconnections and circuit elements tested in each configuration pattern.

Techniques for automatically generating tests for programmable circuits

Growing community of inventors

San Jose, CA, United States of America

Hung Hing Anthony Pang