A Game-Theoretic Analysis of Energy Efficiency and Performance for Cloud Computing in Communication Networks

Abstract

Continuing growth in cloud-based services and global Internet protocol traffic necessitates performance improvements in energy consumption, network delay, and service availability. Data centers providing cloud services and transport networks have often multiple stakeholders, which makes it difficult to implement centralized traffic management. This paper adopts a game-theoretic approach to data traffic management to obtain a distributed and energy-efficient solution, where each edge router is acting as a strategic player. A multiobjective optimization problem with a priori user-specific preferences is formulated for each player, and a distributed iterative algorithm is proposed to solve the ..