Hytrust, Inc.

Datagravity, Inc.

Dell Products Inc.

Parallel Wireless, Inc.

Equallogic, Inc.

Bryan Keith Panner

Misha Zelikov

Paula Long

Eric Kenneth McCall

Dmitry Bochkov

Gregory James McHale

Brian G Nadeau

Peter J Hunter

Damon J Hung

Andrew Ferris

Istvan Gonczi

Janice Ann Lacy

Kumar Kanteti

Mark N Bokhan

Michael C Silva

Damon Hsu-Hung

Harish Kumar Lohar

Mohit Chugh

Poojan Tanna

Ravi Nathwani

Janice Lacy

Apeksha Jain

Eric Sondhi

Vikram Karandikar

Prateek Batra

Ameya Gangamwar

Harish Lohar

Eric K Mccall

Gregory James Mchale

Systems, methods and computer software are disclosed for providing a multi-Het Net Gateway (HNG) distributed Self Organizing Network (dSON) for a wireless network. The dSON ascertains information from at least one of User Equipment (UE) reports and neighbor detection for a mobile EnodeB attached to an HNG. A configuration is adjusted for the mobile eNodeB based on location and a state of neighbors obtained from the UE report and neighbor detection. The mobile eNodeB configuration includes at least one of Physical Cell Identification (PCI) allocation, Tracking Area Code (TAC) allocation, reference Transmit (Tx) power management, and Automatic Neighbor Relations (ANR) table.

Distributed multi-HNG son

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

A hybrid storage array one using two or more storage device tiers. In one implementation, two tiers may be provided by solid state drives (SSDs) and hard disk drives (HDDs). Host application access patterns of a certain type determined to be relatively slow, such as random writes, are detected. The random writes are collected and written to a special reserve space, such as a portion of the SSD storage tier, referred to as a write cache extension. The write cache extension absorbs such accesses that would otherwise be written to HDD storage directly. Data structures are created in a cache memory local to an array controller representing the location on SSD reserve space to which the writes were committed and a location in the storage system where they were originally intended to go. The write cache extension can be enabled all of the time, or only when the array controller write cache experiences certain operating conditions, such as when its utilization exceeds a certain predetermined amount. The approach improves the overall performance of the hybrid array.

Write spike performance enhancement in hybrid storage systems

Techniques for detection of impending data errors in a mass storage system, such as a track squeeze problem in an electromagnetic disk drive, and then repairing the impending problem, such as by rewriting the affected tracks. In many cases the problem is detected and repair is effected when the original data can still be read. In other cases, when the data is no longer readable on the disk in question, but when the disk is part of a Redundant Array of Independent Disks (RAID) system, or other system in which higher layer fault tolerance mechanisms are implemented, the missing data can be recovered via these mechanisms. The recovered data is then used to repair the track squeeze problem. The invention can be implemented as firmware in a storage system, as a component of a general purpose operating system, or inside individual disk drives, or it can use a combination of these implementations.

Method for maintaining track data integrity in magnetic disk storage devices

Growing community of inventors

Windham, NH, United States of America

Bryan Keith Panner