Towards A Virtual Machine Migration Algorithm Based On Multi-Objective Optimization

Author:

Chen Xiang1,Tang Jun-rong2,Zhang Yong3

Affiliation:

1. School of Civil Engineering, Xi'an Technological University, Xi'an, China

2. School of Computer Science and Engineering, Xi'an Technological University, Xi'an, China

3. Wuhan University of Science and Technology, Wuhan, Hubei, China

Abstract

In the cloud computing, the virtual machine (VM) dynamical management method needs to consider VM resource re-configuration caused by system computation resource status changing and load fluctuation. Based on migration objectives as QoS (Quality of Service), resource competition and energy consumption, the VM migration time, migration objective node selection and VM placement strategies are designed in this work. The Multi-Criteria Decision-Making (MCDM) method is also introduced for migration destination host selection. Experiment results show that the multi-objective optimization management method with TOPSIS can achieve lower service-level agreement (SLA) violation rate, less energy consumption and better balance among different objectives.

Publisher

IGI Global

Subject

Computer Networks and Communications

Reference14 articles.

1. Dynamic Placement of Virtual Machines for Managing SLA Violations

2. Balancing Accuracy and Execution Time for Similar Virtual Machines Identification in IaaS Cloud

3. Live migration of virtual machines;C.Clark;Proceedings of the 2nd Symposium on Networked Systems Design & Implementation-Capacity,2005

4. SLA-based Optimization of Power and Migration Cost in Cloud Computing

5. Entropy: a consolidation manager for clusters;F.Hermenier;Proceedings of the ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments,2009

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