Microsoft Technology Licensing, LLC

Fungible, Inc.

Pratapa Reddy Vaka

Pradeep S Sindhu

Jaishankar Menon

Wael Noureddine

Bertrand Serlet

Srihari Raju Vegesna

Jaspal Kohli

Felix A Marti

Charles Edward Gray

This disclosure describes a set of techniques that include establishing and managing quality of service standards across storage cluster resources in a data center. In one example, this disclosure describes a method that includes establishing a quality of service standard for a tenant sharing a storage resource with a plurality of tenants, wherein the storage resource is provided by the plurality of storage nodes in the storage cluster; allocating a volume of storage within the storage cluster, wherein allocating the volume of storage includes identifying a set of storage nodes to provide the storage resource for the volume of storage, and wherein the set of storage nodes are a subset of the plurality of storage nodes; and scheduling operations to be performed by the set of storage nodes for the volume of storage.

Predictable and adaptive quality of service for storage

This disclosure describes techniques that include implementing network-efficient data durability or data reliability coding on a network. In one example, this disclosure describes a method that includes generating a plurality of data fragments from data to enable reconstruction of the data from a subset of the plurality of data fragments; storing, across a plurality of nodes in a network, the plurality of data fragments, wherein storing the plurality of data fragments includes storing the first fragment at a first node and the second fragment at a second node; and generating, by the first node, a plurality of secondary fragments derived from the first fragment to enable reconstruction of the first fragment from a subset of the plurality of secondary fragments; and storing the plurality of secondary fragments from the first fragment across a plurality of storage devices included within the first node.

Reliability coding with reduced network traffic

This disclosure describes techniques that include implementing network-efficient data durability or data reliability coding on a network. In one example, this disclosure describes a method that includes generating a plurality of data fragments from a set of data to enable reconstruction of the set of data from a subset of the plurality of data fragments; storing, across a plurality of nodes in a network, the plurality of data fragments, wherein storing the plurality of data fragments includes storing the first fragment at a first node and the second fragment at a second node; and generating, by the first node, a plurality of secondary fragments derived from the first fragment to enable reconstruction of the first fragment from a subset of the plurality of secondary fragments; and storing the plurality of secondary fragments from the first fragment across a plurality of storage devices included within the first node.

Techniques are described in which a device, such as a network device, compute node or storage device, is configured to utilize a work unit (WU) stack data structure in a multiple core processor system to help manage an event driven, run-to-completion programming model of an operating system executed by the multiple core processor system. The techniques may be particularly useful when processing streams of data at high rates. The WU stack may be viewed as a stack of continuation work units used to supplement a typical program stack as an efficient means of moving the program stack between cores. The work unit data structure itself is a building block in the WU stack to compose a processing pipeline and services execution. The WU stack structure carries state, memory, and other information in auxiliary variables.

Growing community of inventors

Saratoga, CA, United States of America

Pratapa Reddy Vaka