Authors
Xiao-Fang Liu, Zhi-Hui Zhan, Ke-Jing Du, Wei-Neng Chen
Publication date
2014/7/12
Conference
Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation
Pages
41-48
Publisher
ACM
Description
Cloud computing provides resources as services in pay-as-you-go mode to customers by using virtualization technology. As virtual machine (VM) is hosted on physical server, great energy is consumed by maintaining the servers in data center. More physical servers means more energy consumption and more money cost. Therefore, the VM placement (VMP) problem is significant in cloud computing. This paper proposes an approach based on ant colony optimization (ACO) to solve the VMP problem, named as ACO-VMP, so as to effectively use the physical resources and to reduce the number of running physical servers. The number of physical servers is the same as the number of the VMs at the beginning. Then the ACO approach tries to reduce the physical server one by one. We evaluate the performance of the proposed ACO-VMP approach in solving VMP with the number of VMs being up to 600. Experimental …
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