RT Book, Section
T1 Resource Leasing and the Art of Suspending Virtual Machines
A1 Sotomayor, Borja
A1 Montero, Ruben S.
A1 Llorente, Ignacio M.
A1 Foster, Ian
AB 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.
PB IEEE Computer Society
SN 978-1-4244-4600-1
YR 2009
FD 2009
LK https://hdl.handle.net/20.500.14352/53563
UL https://hdl.handle.net/20.500.14352/53563
LA eng
NO Unión Europea. FP7
NO Ministerio de Educación y Ciencia (MEC)
NO Comunidad de Madrid
DS Docta Complutense
RD 27 abr 2024