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 ...

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