Emc IP Holding Company LLC

Juniper Networks, Inc.

Cloudbrink Inc.

Amazon Technologies, Inc.

Ankeena Networks, Inc.

Michael Nishimoto

Samir Rajadnya

Jaspal Kohli

Kumar Narayanan

Karthik Ramachandran

Prabakar Sundarrajan

Mohammed Zubair Visharam

Todd Wilde

Vikram Venkataraghavan

Vinay Gaonkar

Saravanan Purushothaman

Ramanand Narayanan

Junxiao He

Richard Van Gaasbeck

Tarang Gupta

Max He

Chunhui Zhang

Joel Richard Normandin

Huaqing Wang

Alfonso Neal Merkl

Bruce Wong

Junxiao (Max) He

Systems and methods are provided for conducting continuous changelog-based replication of modifications made to a file system to a target storage system. An export system can monitor a changelog on a file system to detect changes made to the file system. The exporter system can further filter and reformat the changes for replication to the target storage system by storing the changes in a pending changes data store. To reduce duplicative traffic, the export system can store changes for a configurable delay period, writing all pending changes to a file system object after the delay while aggregating and deduplicating the changes, thus improving performance relative to immediate replication.

Programatic changelog-based replication of file system changes to target storage system

Embodiments relate to providing a multi-cloud, multi-region, parallel file system cluster service with caching between file system storage nodes. In some embodiments, a first file system storage node of a file system storage cluster receives a request from a client device to access data of a first file system. In response to the request to access the data, a plurality of servers of the first file system storage node pulls, in parallel, the data and nearby data of the data from a second file system storage node of the file system storage cluster. The plurality of servers stores the data and nearby data in the first file system, and provide the data and nearby data to the client device.

Data mesh parallel file system caching

Embodiments relate to providing a multi-cloud, multi-region, parallel file system cluster service with replication between file system storage nodes. In some embodiments, a first file system storage node of a file system storage cluster receives a request from a client device to write data to a first file system stored on the first file system storage node. In response to the request to write the data to the first file system, a plurality of servers of the first file system storage node writes, in parallel, the data to the first file system and sends instructions to a second file system storage node of the file system storage cluster for writing the data to a second file system stored on the second file system storage node.

Data mesh parallel file system replication

A set of device maintenance related data is received from each of a plurality of non-volatile memory modules. Each of the plurality of non-volatile memory modules comprise a plurality of non-volatile memory devices. Based at least in part on said set of device maintenance related data a maintenance operation to be performed is determined. The determined device maintenance related operation is performed.

Offloading device maintenance to an external processor in low-latency, non-volatile memory

In general, embodiments of the technology relate to a method and system for storing and reading data from persistent storage. More specifically, embodiments of the technology relate to a method and system for storing data in persistent storage, where the data written to the persistent storage is not immediately accessible in the persistent storage (i.e., during the inaccessibility period). In such instances, embodiments of the technology provide a method and system to enable the storage system to service read requests for the data using a primary cache entry table (PCET) and an overflow table.

Method and system for writing data to and read data from persistent storage

In general, embodiments of the technology relate to a method and system for performing fast ordered writes in a storage appliance that includes multiple separate storage modules. More specifically, embodiments of the technology enable multicasting of data to multiple storage modules in a storage appliance, where the order in which the write requests are processed is the same across all storage modules in the storage appliance.

Method and system for fast ordered writes with target collaboration

Method and system for fast ordered writes with atomic multicast

A request is received via a message submission queue. The request is sent from a core associated with an external processor coupled by a communication interface. The message submission queue is associated with a memory access engine circuit configured to perform one or more memory access functions. The memory access engine circuit is used to dequeuer a next message from its corresponding message submission queue. The memory access engine circuit is used to perform a message function invoked by the message. The memory access engine circuit is used to receive a result of performing the message function. The memory access engine circuit is used to prepare and send to an external processing core that sent the message a response message determined based at least in part on the result.

Communication between an external processor and FPGA controller

A cache server receives wear usage information associated with a storage device, and receives an object to be cached in the storage device. The cache server also determines whether to store the object in the storage device based on the wear usage information. The cache server provides the object to the storage device for storage when it is determined that the object is to be stored in the storage device, and prevents the object from being stored in the storage device when it is determined that the object is not to be stored in the storage device.

Managing lifetime of limited usage storage devices in a caching system

A method and apparatus stores media content in a variety of storage devices, with at least a portion of the storage devices having different performance characteristics. The system can deliver media to a large number of clients while maintaining a high level of viewing experience for each client by automatically adapting the bit rate of a media being delivered to a client using the client's last mile bit rate variation. The system provides clients with smooth viewing of video without buffering stops. The client does not need a custom video content player to communicate with the system.

Adaptive network content delivery system

A method and apparatus optimizes storage on solid-state memory devices. The system aggregates object storage write requests. The system determines whether objects associated with the object storage requests that have been aggregated fit in a block of the solid-state memory device within a defined tolerance. Upon the aggregation of object storage write requests that fit in a block of the solid-state memory device, the system writes the objects associated with the aggregated object storage write requests to the solid-state memory device.

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Saratoga, CA, United States of America

Michael Nishimoto