SMPA: An Energy-Aware Service Migration Strategy in Cloud Networks
Bing Yu, Yanni Han, Xuemin Wen, Zhen Xu · 2016
Cloud computing has become a promising paradigm in the field of Services Computing for its advantage of providing infrastructures and resources as a service. However, cloud networks consume huge amount of energy consumption due to the various applications and large scale of users with high mobility. In this paper, we investigate the problem of service migration to minimize the energy consumption of cloud infrastructures while ensuring the service delivery with satisfied latency and economic cost. We propose an energy-efficient migration scheme named SMPA considering the economic aspects and the quality of service. Furthermore, the mechanism of virtual machine consolidation running different services is also designed in SMPA, when the requests arrive, change or depart. Extensive simulations conducted on random topologies show that our proposal reduces requests' SLA violation ratio and improves the utilization of provider resources by service migration. Moreover, by taking advantage of physical resources, SMPA decreases the number of running hosts and reduces the power consumption while ensuring the operational cost effectively under dynamic workload scenarios.