Resource Management in Virtualized Data Center Based-on AHP and TOPSIS under Fuzzy Environment

Abstract

In this paper, a three level resource management system for virtualized data center is presented. Three levels are defined as vitrual machine level controller (VLC), host level controller (HLC) and central level controller (CLC). When ideal resources are available, VLC and HLC can perform resource management. In the case of overloading or underloading condition at a host, CLC manages resources by giving migration decisions. This paper presents an evaluation model for the decision support of VM migration in VDC based on the analytical hierarchy process (AHP) and the technique for order preference by similarity to ideal solution (TOPSIS) under fuzzy environment. VM and target server selections are multi-criteria decision making problems. AHP is used for criteria weight consistency checking and Fuzzy TOPSIS is used for final ranking. The numerical evaluation is conducted to illustrate the utilization of the model.