Journal article

Utilization-prediction-aware virtual machine consolidation approach for energy-efficient cloud data centers

SY Hsieh, CS Liu, R Buyya, AY Zomaya

Journal of Parallel and Distributed Computing | Elsevier | Published : 2020

Abstract

In the age of the information explosion, the energy demand for cloud data centers has increased markedly; hence, reducing the energy consumption of cloud data centers is essential. Dynamic virtual machine VM consolidation, as one of the effective methods for reducing energy energy consumption is extensively employed in large cloud data centers. It achieves the energy reductions by concentrating the workload of active hosts and switching idle hosts into low-power state; moreover, it improves the resource utilization of cloud data centers. However, the quality of service (QoS) guarantee is fundamental for maintaining dependable services between cloud providers and their customers in the cloud ..

View full abstract