Kullback-Leibler distance criterion consolidation in cloud

The dynamic virtual machine (VM) consolidation is a key resource management technique used for achieving a trade-off between performance and energy efficiency of cloud computing systems. Selection of the source and destination hosts is a key problem in the process of VM consolidation which faces different challenges in the effective management of cloud resources. One of these challenges is utilizing burstiness-aware algorithms for selecting the source and destination hosts to prevent frequent migrations, reduce Service Level Agreement (SLA) violations, and improve energy efficiency. In the current study, we propose a new approach based on the Kullback-Leibler Distance (KLD) criterion to tackle this problem. The proposed approach includes burstiness-aware algorithms for selecting the source and destination hosts to minimize SLA violations, improve energy efficiency, and decrease the number of migrations. We utilize both real-world and random workloads and CloudSim simulator to inspect the performance of proposed algorithms. The experimental results reveal that the proposed approach outperforms the previous algorithms in terms of performance.