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dc.contributor.authorIshakian, Vatcheen_US
dc.contributor.authorBestavros, Azeren_US
dc.date.accessioned2015-06-24T19:48:27Z
dc.date.available2015-06-24T19:48:27Z
dc.date.issued2011-01-25
dc.identifier.citationIshakian, Vatche; Bestavros, Azer. "MorphoSys: Efficient Colocation of QoS-Constrained Workloads in the Cloud", Technical Report BUCS-TR-2011-002, Computer Science Department, Boston University, January 25, 2011. [Available from: http://hdl.handle.net/2144/11359]
dc.identifier.urihttps://hdl.handle.net/2144/11359
dc.description.abstractIn hosting environments such as IaaS clouds, desirable application performance is usually guaranteed through the use of Service Level Agreements (SLAs), which specify minimal fractions of resource capacities that must be allocated for unencumbered use for proper operation. Arbitrary colocation of applications with different SLAs on a single host may result in inefficient utilization of the host’s resources. In this paper, we propose that periodic resource allocation and consumption models -- often used to characterize real-time workloads -- be used for a more granular expression of SLAs. Our proposed SLA model has the salient feature that it exposes flexibilities that enable the infrastructure provider to safely transform SLAs from one form to another for the purpose of achieving more efficient colocation. Towards that goal, we present MORPHOSYS: a framework for a service that allows the manipulation of SLAs to enable efficient colocation of arbitrary workloads in a dynamic setting. We present results from extensive trace-driven simulations of colocated Video-on-Demand servers in a cloud setting. These results show that potentially-significant reduction in wasted resources (by as much as 60%) are possible using MORPHOSYS.en_US
dc.description.sponsorshipNational Science Foundation (0720604, 0735974, 0820138, 0952145, 1012798)en_US
dc.language.isoen_US
dc.publisherComputer Science Department, Boston Universityen_US
dc.relation.ispartofseriesBUCS Technical Reports;BUCS-TR-2011-002
dc.titleMorphoSys: efficient colocation of QoS-constrained workloads in the clouden_US
dc.typeTechnical Reporten_US


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