White Papers

Controllable Fair Queuing for Meeting Performance Goals

Overview Computing and storage utilities must control resource usage to meet contractual performance targets for hosted customers under dynamic conditions, including flash crowds and unexpected resource failures. This paper explores properties of proportional share resource schedulers that are necessary for stability and responsiveness under feedback control. It shows that the fairness properties commonly defined for proportional share schedulers using Weighted Fair Queuing (WFQ) are not preserved across changes to the relative weights of competing request flows.

Further White Paper Details
PublisherReed Elsevier File FormatPDF
Date PublishedAugust 2005 Downloads4
FormatWhite Papers   
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