Resource Leasing and the Art of Suspending Virtual Machines



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Sotomayor, Borja and Montero, Ruben S. and Llorente, Ignacio M. and Foster, Ian (2009) Resource Leasing and the Art of Suspending Virtual Machines. In High Performance Computing and Communications, 2009. HPCC '09. IEEE Computer Society, pp. 59-68. ISBN 978-1-4244-4600-1

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Using virtual machines as a resource provisioning mechanism offers multiple benefits, most recently exploited by “infrastructure-as-a-service” clouds, but also poses several scheduling challenges. More specifi- cally, although we can use the suspend/resume/migrate capability of virtual machines to support advance reservation of resources efficiently, by using suspension/resumption as a preemption mechanism, this requires adequately modeling the time and resources consumed by these operations to ensure that preemptions are completed before the start of a reservation. In this work we present a model for predicting various runtime overheads involved in using virtual machines, allowing us to efficiently support advance reservations. We extend our lease management software, Haizea, to use this new model in its scheduling decisions, and we use Haizea with the OpenNebula virtual infrastructure manager so the scheduling decisions will be enacted in a Xen cluster. We present both physical and simulated experimental results showing the degree of accuracy of our model and the long-term effects of variables in our model on several workloads.

Item Type:Book Section
Uncontrolled Keywords:virtual machines
Subjects:Sciences > Computer science > Internet
Sciences > Computer science > Networks
Sciences > Computer science > Hardware
ID Code:44162
Deposited On:01 Aug 2017 08:26
Last Modified:01 Aug 2017 08:26

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