Maximizing Cloud Providers Revenues via Energy Aware Allocation Policies

TL;DR

This paper proposes energy-aware server allocation policies for cloud data centers to maximize provider revenues by reducing electricity costs while maintaining user experience, validated through simulations.

Contribution

Introduces dynamic server powering policies that balance revenue maximization and electricity cost reduction in cloud data centers.

Findings

Policies effectively reduce electricity costs across various traffic conditions.

Simulation results demonstrate improved revenue potential.

Energy-aware allocation maintains user satisfaction.

Abstract

Cloud providers, like Amazon, offer their data centers' computational and storage capacities for lease to paying customers. High electricity consumption, associated with running a data center, not only reflects on its carbon footprint, but also increases the costs of running the data center itself. This paper addresses the problem of maximizing the revenues of Cloud providers by trimming down their electricity costs. As a solution allocation policies which are based on the dynamic powering servers on and off are introduced and evaluated. The policies aim at satisfying the conflicting goals of maximizing the users' experience while minimizing the amount of consumed electricity. The results of numerical experiments and simulations are described, showing that the proposed scheme performs well under different traffic conditions.