Title: Fuzzy logic-based VM selection strategy for cloud environment
Authors: Mohammad Alaul Haque Monil; Rashedur M. Rahman
Department of Computer and Information Science, University of Oregon, Eugene, Oregon, USA
Department of Electrical and Computer Engineering, North South University, Bashundhara, Dhaka, Bangladesh
Abstract: In dynamic virtual machine consolidation (DVMC), when a host is overloaded, a list of virtual machines (VMs) must be selected to migrate. VM selection strategy has a substantial impact on the performance of DVMC algorithm, and a good number of strategies have been proposed in the literature. As different VM selection approaches offer distinct advantages, we explore and apply fuzzy logic in this research to innovate a new VM selection method which will provide a balanced and better result in all quality of service (QoS) measures. With this goal, we have designed the fuzzy VM selection using three metrics. We have devised the membership functions and inference rules based on the real cloud workload data, e.g., PanetLab. We implement our novel fuzzy VM selection method in CloudSim toolkit and compare the performance with the existing methods. Simulation results demonstrate a balanced performance by trading off power and QoS parameters.
Keywords: VM placement; VM selection; virtual machine consolidation; overload detection; fuzzy logic.
Int. J. of Cloud Computing, 2017 Vol.6, No.2, pp.163 - 186
Date of acceptance: 02 Sep 2016
Available online: 09 Aug 2017