Real-Time Energy-Conserving VM-Provisioning Framework for Cloud-Data Centers

摘要

This paper proposes a real-time virtual machine (VM) provisioning framework to minimize energy consumption in a cloud data center with an efficient and novel data pre-processing, real-time clustering, instant multivariate time-series prediction and placement algorithms. The proposed framework represents an enhanced version of our recent work and it is suitable for real-time VM consolidation as it takes into consideration user behavior and VM historical usage to forecast the number of future VMs and to improve consolidation process with minimum energy consumption. The proposed real-time framework is evaluated using real data with different duration and sampling rate. The results obtained show up to 80% improvement on average.