An efficient approach for green cloud computing using genetic algorithm

Cloud computing delivers consumers a proficient way to efficiently complete their service demands. The use of energy aware virtual machine allocation algorithms for cloud computing framework provides great elasticity with the capability to migrate virtual machines across physical machines. However, data center hosting services consume huge amount of electricity. The ongoing growth of energy consumption by Information and Communication Technology (ICT) at data center side forces researchers to propose innovative ways to reduce the power consumption. A major challenge for cloud providers is proper VM allocations while taking into account of less SLA violations within better response time. In this paper a energy aware hybrid algorithm for VM allocation is proposed with considering SLA parameters; response time, throughput. As number of algorithm proposed for energy aware VM allocations like Minimization of Migration (MM). In this paper, a hybrid energy aware algorithm using genetic algorithm has been proposed. We evaluate the proposed algorithm with three performance metrics; energy consumption, SLA violations, throughput. The results demonstrate the proposed algorithm obtains less energy consumption and SLA violations with high throughput than the MM algorithm.