A ga-based approach for resource consolidation of virtual machines in clouds

I. Hsun Chuang, Yu Ting Tsai, Mong Fong Horng, Yau Hwang Kuo, Jang Pong Hsu

研究成果: Conference article

5 引文 斯高帕斯(Scopus)

摘要

In cloud computing, infrastructure as a service (IaaS) is a growing market that enables users to access cloud resources in the convenient, on-demand manner. The IaaS can provide user to rent the resources of cloud computing and virtual machines (VMs) through virtualization technology. Because different VMs may demand different amounts of resources, an important problem that must be addressed effectively in the cloud is how to decide the mapping adaptively in order to satisfy the resource needs of VMs. The mapping problem solution is called virtual machine placement policy (VMPP). However, VM will change the requirement of resources according to the workload of application VM. Thus, it's necessary to apply resource consolidation technology to satisfy dynamically resource on demand. In this thesis, we present a two-phase approach for resource consolidation to minimize resource consumption. In the first phase, we use a genetic algorithm to find a reconfiguration plan. In the second phase, we propose a mechanism to find a way to migrate VMs such that the number of active nodes and the overall migration cost could be minimized. Finally, the experimental results show that we obtain well-consolidating active nodes than other existing approaches.

原文English
頁(從 - 到)342-351
頁數10
期刊Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
8397 LNAI
發行號PART 1
DOIs
出版狀態Published - 2014 一月 1
事件6th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2014 - Bangkok, Thailand
持續時間: 2014 四月 72014 四月 9

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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