Designing and Evaluation of Energy Efficient Dynamic Virtual Machine Consolidation For Green Cloud Computing

Abstract

Cloud Computing (CC) is a new generation technology that bestows dynamic resources, virtualization, and easy availability through internet-based computing. However, the growing needs of customers for such services are persuading the cloud service providers to deploy large amounts of energy ravenous data centers which make a negative effect on the environment by abundant carbon dioxide emission. Dynamic Virtual Machine Consolidation and Placement (DVMCP) is an effectual means to improve resources utilization and energy efficiency in Cloud data centers. While using DVMCP technology, which dynamically combines Virtual Machine (VM) for placing into the least number of active servers and then switch offs the unused servers into a power-saving mode to save energy. Though, the preferred standard of Quality-of-Service (QoS) must be preserved for ensuring the Service Level Agreement between service providers and their users. It is much crucial for satisfying users expectations and trusts regarding the performance. Hence, the major challenge is to reduce the data center energy consumption while retaining the essential QoS. newlineThis work tackles this challenge by presenting heuristic DVMCP approaches to diminish the energy consumption of data centres and efficient resource utilization. Moreover, the energy consumption is not only a matter inside a data centre, it is also an outcome of a network connection between two data centers inside a region or different regions worldwide. In many of the works are ignoring this concept of network routing. To fill the knowledge gap of this field, proposing a new network routing with the congestion-free shortest path for easy VM migration. While ensuring reduced usage of energy consumption in DVMCP, the Service Level Agreement also improving by considering mandatory VM migration. newlineIn this research, as a first contribution, a bin packing-based approach is proposed to ensure energy efficiency in data centres from an application perspective through dynamic VM consolidation for proper resource