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Reliable Virtual Machine Placement Based on Multi-Objective Optimization With Traffic-Aware Algorithm in Industrial Cloud
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DOI：10.1109/ACCESS.2018.2816983.png)
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Abstract
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In a cloud data center, there is usually a large waste of physical resources and link resources, which leads to increased energy consumption. This paper discusses reducing the loss of link resources from the perspective of connectivity between virtual machines. When the virtual machines of a single user request are concentrated to reduce energy consumption, there will be decreased request reliability. This paper considers a single point of failure to ensure the reliability of the requests. Finally, this paper proposes a multi-objective particle swarm optimization algorithm. It takes the physical resource utilization rate and the link loss rate as the optimization targets and uses service reliability and quality of the tenant as constraint conditions. The simulation results show that the method proposed in this paper reliably satisfies the tenant request, effectively controls the link loss in the data center, and significantly reduces the energy consumption of the data center.
Keywords:
Industrial cloud
particle swarm optimization
traffic awareness
virtual machine placement
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