Energy-aware Multi-dimensional Resource Allocation Algorithm in Cloud Data Center

• Jiawei Nie,
• Juan Luo,
• Luxiu Yin,

Vol. 11, No. 9, September 29, 2017
10.3837/tiis.2017.09.008, Download Paper (Free):

• Cloud data center
• Dynamic allocation
• Multi-dimensional virtual resource
• Energy-Aware
• VM Migration

Abstract

Energy-efficient virtual resource allocation algorithm has become a hot research topic in cloud computing. However, most of the existing allocation schemes cannot ensure each type of resource be fully utilized. To solve the problem, this paper proposes a virtual machine (VM) allocation algorithm on the basis of multi-dimensional resource, considering the diversity of user’s requests. First, we analyze the usage of each dimension resource of physical machines (PMs) and build a D-dimensional resource state model. Second, we introduce an energy-resource state metric (PAR) and then propose an energy-aware multi-dimensional resource allocation algorithm called MRBEA to allocate resources according to the resource state and energy consumption of PMs. Third, we validate the effectiveness of the proposed algorithm by real-world datasets. Experimental results show that MRBEA has a better performance in terms of energy consumption, SLA violations and the number of VM migrations.

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