Microsoft Technology Licensing, LLC

Siemens Aktiengesellschaft

Marko Lalic

Thomas Moscibroda

Gurpreet Virdi

Karthikeyan Subramanian

Yunus Mohammed

Shandan Zhou

Si Qin

Hang Dong

Brett Humphrey

Daniela Oelke

Bo Qiao

Jonas Mlynek

Yuwen Yang

The present disclosure relates to systems, methods, and computer readable media for predicting surplus capacity on a set of server nodes and determining a quantity of deferrable virtual machines (VMs) that may be scheduled over an upcoming period of time. This determination of VM quantity may be determined while minimizing risks associated with allocation failures on the set of server nodes. This disclosure described systems that facilitate features and functionality related to improving utilization of surplus resource capacity on a plurality of server nodes by implementing VMs having some flexibility in timing of deployment while also avoiding significant risk caused as a result of over-allocated storage and computing resources. In one or more embodiments, the quantity of deferrable VMs is determined and scheduled in accordance with rules of a scheduling policy.

Allocating computing resources for deferrable virtual machines

A remote applications application programming interface (API) system disclosed herein is implemented using various computer process instructions including accumulating one or more cross-process calls from a client process to a provider process into a remote operations object, evaluating the one or more cross-process calls from the client process to determine one or more conditional operations, generating a remote operations graph based on the conditional operations, wherein the graph including a plurality of remote operations graph nodes encoding logic of the one or more conditional operations, and communicating the remote operations graph in a single cross-process call across the process boundary to the provider process.

Remote operations application programming interface

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Seattle, WA, United States of America

Marko Lalic