Multi-Objective VM Consolidation Based on SLA

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Sharifian, Hamed | 2016

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 48780 (19)
University: Sharif University of Technology
Department: Computer Engineering
Advisor(s): Movaghar Rahimabadi, Ali
Abstract:
The rapid growth in demand for computational resources driven by new applications and services had led to establishment of new cloud data centers. Such Data Centers consume enormous amount of electrical energy resulting in high costs and carbon emissions. Dynamic Consolidation of virtual machines and turning idle hosts off allow cloud providers to reduce energy consumption. But consolidation of virtual machines may leads to quality of service(QoS) degradation and Service level Agreement(SLA) violation. One of the most important reasons for QoS degradation is the migration overhead, therefore the number of VM migrations should be controlled. Over the last few years, VM consolidation problem has been subject of a large number of research efforts. The major issues with these researches include SLA violation, uncontrolled migrations and workload demand prediction. This research proposed a new VM consolidation algorithm. In Comparison with previous algorithms, proposed algorithm decreases energy consumption as well as number of VM migration and SLA violation
Keywords:
Cloud Computing ; Resource Management ; Utilizability ; Service Level Agreement ; Virtual Machine Consolidation ; Service Quality

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