Large Scale Network-Centric Distributed Systems

16

Energy-Efficient Resource Utilization in Cloud Computing

Giorgio L. Valentini, Samee U. Khan, and Pascal Bouvry

Contents

16.1 Introduction

16.2 Related Work

16.3 Energy-Efficient Utilization of Resources in Cloud Computing Systems

16.3.1 Cloud Computing

16.3.2 Energy Model

16.3.3 Task Consolidation Problem

16.3.4 Task Consolidation Algorithm

16.3.4.1 Overview

16.3.4.2 Cost Functions (ECTC and MaxUtil)

16.3.4.3 Task Consolidation Algorithm

16.3.5 Application of the Model: A Working Example

16.4 Complementarity Approach

16.4.1 Main Idea

16.4.2 Motivation

16.4.3 Approach

16.4.4 Metric Normalization

16.4.5 Evaluation Space

16.4.6 Selection of the Best Candidate

16.4.6.1 Mathematical Model

16.4.6.2 Algorithm

16.4.7 Processing of Equivalent Solutions

16.4.8 Energy-Efficient Task Consolidation Algorithm

16.4.9 An Intuitive Example

16.5 Simulation Results

16.5.1 Simulation Setup

16.5.2 Results

16.5.2.1 Energy Efficiency

16.5.2.2 Speed Analysis

16.6 Discussion of Results

16.7 Conclusion

References

16.1 Introduction

Data communications are an important element of our daily lives. Most of our interactions rely on gathering information through the client-server paradigm [7]. Over time, user demands have rapidly increased in terms of the number of requests. To cater to the consistent amount of requests, computational capacities and facilities must be constantly reviewed and improved. To remain competitive, the proportional nonnegligible amount of the required energy has been often left ...