Microsoft Technology Licensing, LLC

Google Inc.

Spiro Michaylov

Baskar Sridharan

Raghunath Ramakrishnan

Sri Sai Kameswara Pavan Kumar Kasturi

Srirama Koneru

Michael Yu

Michael Yang Liu

Arvind Sundararajan

Anurag Kumar Singh

Joseph M Gagne

Srinivas Vaidyanathan

Subhashish Roy

Aditya Telidevara

Neduvelil Vinod Menon

Shashwat Rastogi

Maintaining an organizational hierarchy by receiving data indicative of computing resource consumption by one or more leaf nodes, wherein the leaf nodes are part of a hierarchy including the leaf nodes and higher level nodes; and generating one or more modifications for the hierarchy based on the data indicative of computing resource consumption.

Extensible method for organizational mapping via cloud resource consumption

Sharding a data unit across storage locations (e.g., data centers, clusters, accounts, and so forth). For each location, the multi-link traffic constraints in data channeling with the storage location are identified. For instance, for a given data channel leading to and/or from a storage location, there may be multiple links. Each link may have its own constraints (e.g., in throughput and/or storage). Policy may consider the sharding of files in a manner that honors the constraints. The policy may also be set so that all portions of the shards may be timely accessed in parallel. When sharding, the policy is applied in order to identify initial placement of the computing data unit across the multiple storage locations. Furthermore, the policy may be consulted to determine which storage location to access the shard from and/or which channel to use to access the shard from a given location.

Sharding over multi-link data channels

Growing community of inventors

Redmond, WA, United States of America

Spiro Michaylov