Power optimization for distributed computing system

摘要

An embodiment includes determining a first power metric (e.g., memory module temperature) corresponding to a group of computing nodes that includes first and second computing nodes; and distributing a computing task to a third computing node (e.g., load balancing) in response to the determined first power metric; wherein the third computing node is located remotely from the first and second computing nodes. The first power metric may be specific to the group of computing nodes and is not specific to either of the first and second computing nodes. Such an embodiment may leverage knowledge of computing node group behavior, such as power consumption, to more efficiently manage power consumption in computing node groups. This “power tuning” may rely on data taken at the “silicon level” (e.g., an individual computing node such as a server) and/or a large group level (e.g., data center). Other embodiments are described herein.

主权项

1. At least one storage medium having instructions stored thereon for causing a system to:
determine a first power metric corresponding to a group of computing nodes that includes first and second computing nodes; and distribute a computing task to a third computing node, and not the first or second computing nodes, in response to the determined first power metric; wherein (a) the first power metric is specific to the group of computing nodes and is not specific to either of the first and second computing nodes; and (b) the first computing node includes a first server separate from and not included in a second server that is included in the second computing node.