Multi objective consolidation of virtual machines for green computing in Cloud data centers
Ehsan Arianyan · 2016
Cloud computing has emerged as a novel service delivery model for information and communication technology domains. Vast amount of Cloud users along with rapid demand increase for acquiring Cloud resources have resulted in emergence of huge energy hungry data centers in different geographical locations. One of the major concerns of Cloud providers is energy saving to reduce electricity bills as well as to respond to legal pressures on reducing CO2 emissions. In this direction, consolidation is proposed as a novel technique for energy saving in Cloud data centers. One of the major drawbacks of current studies on consolidation solution is that they focus only on one criterion and ignore other ones. However, this study proposes a novel multi objective consolidation solution based on a modified analytic hierarchy process (AHP) technique which considers three objectives including energy consumption, SLA violation, and number of migrations in decision process. The results of simulations using Cloudsim simulator shows up to 34.2%, 98.58%, and 71.29% reductions in energy consumption, SLA violation, and number of VM migrations, respectively, in comparison with state of the arts.