Performance improvement of virtualized cluster computing system using TOPSIS algorithm

This paper shows that performance of the virtualized cluster servers could be improved through intelligent decision over migration time of Virtual Machines (VM) between physical nodes. Virtualization technology has lots of benefits. Via virtualization, Physical server can be consolidated over fewer virtual servers. This approach has many advantages such as less hardware cost, cooling cost, etc. One of the key benefits is better load balancing by using VM migration. To migrate we need to decide which virtual machine needs to be migrated and when this relocation has to be done. Our paper tries to propose a new model of load balancing in virtualized clusters based on Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) as one of the most efficient Multi Criteria Decision Making methods (MCDM). The cluster is assumed heterogeneous; therefore lots of parameters like CPU clock speed (CPU), CPU usage (%CPU), RAM capacity (RAM), and network bandwidth (NET) are used in decision process.