Emc IP Holding Company LLC

Emc Corporation

Nir Sela

Ron Bigman

Adi Hirschtein

Arieh Don

Aharon Blitzer

Yuval Harduf

Aviram Katz

Ido Halevi

Tamir Segal

Vinay G Rao

Yaron Dar

Gabriel Benhanokh

Yaniv Kaul

Gabi Benhanokh

Niko Farhi

Tomer Kushnir

Shay Zukerman

Yochai Gal

Instances of client applications running independently on different devices are monitored to generate metadata records that are stored in cloud storage. Metadata records in cloud storage that have an aspect in common are grouped and used for comparative analysis. For example, metadata records for instances of the same client application, database, query or database structure may be grouped. Reports may be generated based on the analysis. The reports may indicate comparative performance, irregular activity, patch version and configurations associated with performance degradation, and recommended actions to improve performance.

Cross-application query analysis to produce database recommendations

In a computer network in which a data storage array maintains data for at least one host computer, the host computer provides sequential access hints to the storage array. A monitoring program monitors a host application running on the host computer to detect generation of data that is likely to be sequentially accessed by the host application along with associated data. When the host application writes such data to a thinly provisioned logical production volume the monitoring program prompts a multipath IO driver to generate the sequential access hint. In response to the hint the storage array allocates a plurality of sequential storage spaces on a hard disk drive for the data and the associated data. The allocated storage locations on the hard disk drive are written in a spatial sequence that matches the spatial sequence in which the storage locations on the production volume are written.

Host hinting for smart disk allocation to improve sequential access performance

Example embodiments of the present invention relate to a method, a system, and a computer program product for data protection. The method includes creating a snapshot of a volume and maintaining the snapshot as a logical point in time copy of the volume for data protection of the volume.

Efficient local data protection of application data in storage environments

Example embodiments of the present invention relate to a method, a system, and a computer program product for copy data management. The method includes creating a snapshot of a volume and exposing the snapshot of the volume as a writable copy of the volume.

Efficient repurposing of application data in storage environments

Methods and apparatus for a system including a storage array with solid state drive (SSD) storage and a controller coupled to the SSD storage. The controller may include a data system to perform input/output operations to the SSD storage, a control system coupled to the data system to control an address to hash value mapping, a routing system coupled to the control system to process commands from remote hosts, segment data into data blocks, and generate the hash values for the data blocks, and a data server associated with the routing system to receive read and write commands from a data client running on a remote host, wherein the storage array contributes a portion of the SSD storage to storage pools of a distributed elastic storage system.

Methods and apparatus for SAN having local server storage including SSD block-based storage

A SQL database tool maps database objects to storage addresses. The SQL database translates SQL requests to I/O requests on specific extents of OS files. A data structure maps the OS file extents to database objects. Using this mapping, I/O requests on files can be correlated to their relevant database objects, providing analysis of I/O activity and I/O wait time for database objects. Based on the computed database object activity level, the database objects may be allocated to different storage tiers according to their I/O needs.

Method and apparatus for identifying database I/O activity

Certain database structures and operations are recognized in order to generate hints for a tiered storage array. Historical snapshots of a database data dictionary are searched for patterns corresponding to the structures and operations. After a structure or operation is identified, a corresponding set of extents is identified. Logic predicts future activity associated with the extents, and a corresponding hint is provided to the storage array. Statistical information associated with the identified structure or operation may be maintained and updated to facilitate prediction of activity.

Identifying IO access pattern in unique database structures

In one aspect, a method includes receiving a read or write command from a requester to read data from or write data to a database, inserting in a status message on a status of the read or write command an identifier to identify technology of storage for the data and providing the status message associated with the read or write command to the requester.

Providing storage technology information to improve database performance

A data storage subsystem includes a data storage array and a host device in communication with the data storage array. Applications on servers and user terminals communicate with the host to access data maintained by the storage array. In order to enhance performance, the host includes a cache resource and a computer program including cache configuration logic which determines whether an IO received from an application is associated with a predetermined type of business process, and configures the cache resource to store data associated with the received IO where it is determined that the IO is associated with the predetermined type of business process, thereby enabling the data to be available directly from the host without accessing the storage subsystem in response to a subsequent Read request.

Host device caching of a business process data

Data access is monitored in order to calculate priorities for extents of data based on extent access activity and priority of a business process associated with the extent. The priorities of the extents are used to generate priority hints for a tiered storage array. The priority may be time-dependent, including being indicative of anticipated future activity.

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Nir Sela