Microsoft Technology Licensing, LLC

Eduardo A Cuervo Laffaye

Paramvir Bahl

Alastair Wolman

Sharad Agarwal

Stefan Saroiu

David Chiyuan Chu

Hoi Huu Vo

Landon Prentice Cox

Jonathan David Morrison

Kaifei Chen

Methods and devices for encoding and decoding data streams are disclosed. In some aspects, the data streams are multimedia data streams. One method disclosed includes obtaining, by a client device, a first multimedia data stream and a second multimedia data stream, the second multimedia data stream being a lower fidelity version of the first multimedia data stream, generating, by the client device, a third multimedia data stream based on differences between the first and second multimedia data streams, compressing, by the client device, the second multimedia data stream to generate a first compressed multimedia data stream, compressing, by the client device, the third multimedia data stream to generate a second compressed multimedia data stream; and transmitting, by the client device, the first and second compressed multimedia data steams to the server.

Client side data stream processing

A server computing device for inducing latency on target input streams is provided. The server computing device includes a processor configured to receive a plurality of input streams from a respective plurality of client computing devices. Each input stream includes a plurality of inputs controlling actions of respective characters in a multiplayer online software program. The processor is further configured to determine a latency of each of the input streams, identify a higher latency input stream and a lower latency input stream among the plurality of input streams, and induce a higher latency in the lower latency input stream to narrow a difference in latency between the higher latency input stream and the lower latency input stream.

Inducing higher input latency in multiplayer programs

Nodes of a computing cluster can be selected to run new computing jobs while providing acceptable performance of jobs running on the nodes. Respective performance metrics of respective workloads on respective computing nodes can be determined. Each workload can include a new computing job and the performance metrics can be determined based at least in part on respective measured performance data of the ones of the computing nodes and information of the new computing job. Candidate ones of the computing nodes can be determined based at least in part on the respective performance metrics. One of the candidate computing nodes can be selected based at least in part on the information of the new computing job. In some examples, identification of the new computing job can be transmitted to the selected node. In some examples, state data of the nodes can be updated based on the performance data.

Multiple-computing-node system job node selection

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Bellevue, WA, United States of America

Eduardo A Cuervo Laffaye