Microsoft Technology Licensing, LLC

Debmalya Panigrahi

John R Douceur

Thomas Moscibroda

James Wiliamson Mickens

Nikhil Devanur Rangarajan

Zhiyi Huang

The subject disclosure is directed towards scheduling jobs with a speed for running a processor(s) having variable speeds to save energy yet complete in time, in which the volume of the job is not known in advance, that is, in a non-clairvoyant setting. A non-clairvoyant algorithm uses an existing clairvoyant algorithm to determine the speed based upon information known from running one or more jobs, in full or in part. Also described is rounding jobs based upon their densities into rounding queues so that a hybrid of highest density first rules and FIFO rules may be used to obtain information used by the clairvoyant algorithm.

Energy efficient job scheduling

The described implementations relate to collaborative speed determination in distributed systems. One method estimates upload speeds of a plurality of hosts. The method sends a first bandwidth probe from a first host to a second host. The method receives, at the first host, a second bandwidth probe sent from the second host. The method determines which of the first and second bandwidth probes was relatively slower. The method designates either of the first or second hosts that sent the relatively slower bandwidth probe as a loser and takes a speed of the bandwidth probe of the loser as a first estimate of the loser's upload speed.

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Cambridge, MA, United States of America

Debmalya Panigrahi