Hytrust, Inc.

Datagravity, Inc.

Emc Corporation

Misha Zelikov

Bryan Keith Panner

Paula Long

Eric Kenneth McCall

Dmitry Bochkov

Andrew Ferris

Istvan Gonczi

Janice Ann Lacy

Kumar Kanteti

Gregory James McHale

Vitaly Stanislavovitch Kozlovsky

Damon Hsu-Hung

Artem Alexandrovich Aliev

Mikhail Alexandrovich Ilyin

Nikolay Vyatkin

Eric Sondhi

Eric K Mccall

Gregory James Mchale

A single system merges primary data storage, data protection, and intelligence. Intelligence is provided through in-line data analytics, and data intelligence and analytics are gathered on protected data and prior analytics, and stored in discovery points, all without impacting performance of primary storage. As data is written it is automatically mirrored for data protection as part of a High Availability (HA) process. Real-time analysis is done in-line with the HA processing, enabling a variety of data analytics. Data content can be mined from within files or blocks. The gathered intelligence is used to tag objects with extended metadata, enabling both valuable search options and rapid restore options. Data recovery begins with metadata restoration, followed by near-instantaneous access to 'hot' regions of data being restored, allowing site operation to continue or resume while a restore is ongoing.

Triggering discovery points based on change

A single system merges primary data storage, data protection, and intelligence. Intelligence is provided through in-line data analytics, and data intelligence and analytics are gathered on protected data and prior analytics, and stored in discovery points, all without impacting performance of primary storage. Real-time analysis is done in-line with the HA processing, enabling a variety of data analytics that are then used as part of a live restore operation. Data content can be live restored at an object or block level. Data recovery begins with metadata restoration, followed by near-instantaneous access to 'hot' regions of data being restored, allowing site operation to continue or resume while a restore is ongoing.

Live restore for a data intelligent storage system

System and method of data intelligent storage

A single system merges primary data storage, data protection, and intelligence. Intelligence is provided through in-line data analytics, and data intelligence and analytics are gathered on protected data and prior analytics, and stored in discovery points, all without impacting performance of primary storage. As data is written it is automatically mirrored for data protection as part of a High Availability (HA) process. Real-time analysis is done in-line with the HA processing, enabling a variety of data analytics. Data content can mined from within files or blocks. The gathered intelligence is used to tag objects with extended metadata, enabling both valuable search options and rapid restore options. Data recovery begins with metadata restoration, followed by near-instantaneous access to 'hot' regions of data being restored, allowing site operation to continue or resume while a restore is ongoing.

Consolidating analytics metadata

The present invention is a system and method for identifying file system events over time using at least two consecutive backup images for the file system. Using consecutive backup images for the file system enables the present invention to identify whether files have been created, removed or altered between backup operations, without actually interfering or interacting with the file system itself. As a result, the information gathered may be compiled to generate a more accurate file system model for the backed up file system. As a further result, the present invention is a less invasive way to gather information about file system events.

System and method for modeling data change over time

Growing community of inventors

Needham, MA, United States of America

Misha Zelikov