Energy and SLA aware VM Scheduling

TL;DR

This paper proposes energy-efficient VM scheduling algorithms for cloud data centers that dynamically optimize resource utilization to reduce energy consumption while maintaining SLA guarantees, demonstrating significant savings and SLA compliance improvements.

Contribution

It introduces novel algorithms for VM scheduling that balance energy efficiency and SLA adherence, outperforming existing methods in simulations.

Findings

Achieves approximately 21% energy savings.

Performs 60% better in SLA maintenance than Single Threshold algorithm.

Demonstrates effectiveness through extensive simulations.

Abstract

With the advancement of Cloud Computing over the past few years, there has been a massive shift from traditional data centers to cloud enabled data centers. The enterprises with cloud data centers are focusing their attention on energy savings through effective utilization of resources. In this work, we propose algorithms which try to minimize the energy consumption in the data center duly maintaining the SLA guarantees. The algorithms try to utilize least number of physical machines in the data center by dynamically rebalancing the physical machines based on their resource utilization. The algorithms also perform an optimal consolidation of virtual machines on a physical machine, minimizing SLA violations. In extensive simulation, our algorithms achieve savings of about 21% in terms of energy consumption and in terms of maintaining the SLAs, it performs 60% better than Single Threshold algorithm.