Energy Efficient and SLA Violation Reduction by Proposed Restructured VM Placement Strategies in Cloud Data Centers
Abstract
The maintenance of energy efficiency of data centers can be a significant path to enhance the investment of cloud providers with assurance to meet various prerequisites of consumers for delivered services. This enhances the requirement for efficient energy and agreed SLA which ensure the delivery of Quality of Services and optimization of resource usage. In order to resolve this issue virtualization is used enables by Infrastructure as a service (IaaS). The consolidation of VMs incorporates the problem of choosing suitable algorithm for VMs placement to proper host and VMs selection for migration. The migrations of virtual machines are needed from an overutilized and underutilized host to fulfill the requirements and saving the consumption of power by shutting down the host respectively. In this work, we have introduced a clustering technique and proposed multiple restructured virtual machine placement algorithms to improve energy efficiency and reduce violations of Service Level Agreement (SLA) in cloud data centers. We evaluated and compared these algorithms from popular solution of Bin packing problems and showed that our proposed algorithm provides better results against default solution of Bin packing problems. This research work has implemented using CloudSim simulation toolkit.