Emc IP Holding Company LLC

Netapp, Inc.

Gobikrishnan Sundharraj

Fani Jenkins

Deepa Ramesh

Nitin Madan

Ramprasad N Chinthekindi

Sandeep Nirmale

Logan Jennings

Kevin David Jamieson

Rahul Goyal

Detecting a trend in latency for storage underlying a deduplicated file system includes generating a set of data points by recording when input/output (IO) requests were issued to the storage and recording time required to receive success responses from the storage. Least squares regression is performed on the data points to find a best-fit line through the data points. A slope of the best-fit line is calculated. A determination is made as to whether the slope is positive, a positive slope thereby indicating a trend of increasing latency of the storage. When the slope is determined to be positive, clients accessing the deduplicated file system are throttled.

Using machine learning techniques to flow control clients in a deduplication file system

Data segments and metadata segments to be stored in a storage system, where the data segments are deduplicated segments and each of the metadata segments includes a fingerprint for the corresponding data segment, for each of the metadata segments. It is determined that the metadata segment contains one or markers inserted by a client device of the storage system. The metadata segment is examined to determine whether the metadata segment satisfies a predetermined condition. In response to determining that the metadata satisfies the predetermined condition, the metadata segment is compressed using a predetermined compression algorithm. The compressed metadata segment is stored in the storage system, otherwise the metadata segment is stored in the storage system without compression. Thereafter, the data segments are stored in the storage system.

Intelligent metadata compression

Embodiments for reducing panic shutdown of components in a pipelined data processing system. Components are monitored for health, processing progress, and dependencies during normal system operation. A directed graph is generated showing non-circular dependencies of components in the pipeline. Deadlock of a particular component may or may not signal a panic condition depending on whether any of its presently downstream and depended on components are operating properly. The continuously monitored knowledge of proper operation of all downstream components is thus used to intelligently apply or defer panic alerts to keep the system operating uninterrupted from panic conditions that might soon or eventually be fixed by continued operation of the system pipeline.

Reducing false positive failure events in a health monitoring system using directional graphs

A machine implemented method and system for allocating a storage volume from among a plurality of storage volumes for storing information in a storage system is provided. The storage system maintains a plurality of groups for segregating the plurality of storage volumes based on storage volume utilization at any given time. A storage volume, when available, is selected from a group that was previously used to select another storage volume. After an end of the group has been reached for allocating the other storage volume, and a threshold value for using the same group to allocate storage volumes has been reached, then another group is used to select the next storage volume.

Growing community of inventors

Santa Clara, CA, United States of America

Gobikrishnan Sundharraj