Energy consumption and resource utilization in a data center is an issue that preoccupies small and large business managers.Studies were well conducted to answer the problem.The technology such as cloud computing,the virtualization offers solutions to reduce the considerable rate of energy consumed by the physical machine running and where misuse resources utilization.The physical machine is considered the component that consumes the most energy compared to other components（air conditioning,ligh... 

【文章來(lái)源】：山東科技大學(xué)山東省

【文章頁(yè)數(shù)】：65 頁(yè)

【學(xué)位級(jí)別】：碩士

【文章目錄】：
ABSTRACT
LIST OF ACRONYMS
1 INTRODUCTION
    1.1 Background of Study
        1.1.1 Statement of Problem
        1.1.2 Objectives
        1.1.3 Conceptual Framework
    1.2 The state of art at home and abroad
        1.2.1 Energy efficiency
        1.2.2 VM Placement Algorithm
    1.3 Research contents
    1.4 Thesis Organization
2 THE FUNDAMENTAL CONCEPTS
    2.1 Introduction
    2.2 Cloud computing and Data Center
        2.2.1 What is Cloud Computing?
        2.2.2 Cloud Computing Actors
        2.2.3 Cloud Service Models
        2.2.4 Cloud Data center
    2.3 Virtualization
        2.3.1 Virtualization Forms
        2.3.2 Virtual Machine
    2.4 Virtual Machine Placement
    2.5 Power Based VM Placement
    2.6 Summary
3 ENERGY CONSUMPTION MODELING FOR VIRTUAL MACHINE PLACEMENT
    3.1 Introduction
    3.2 Energy Modeling in Data Center
        3.2.1 Potential power consuming units in cloud datacenters
        3.2.2 CPU Power
        3.2.3 Major causes of energy waste
    3.3 Virtual machine placement as Bin Packing Problem
        3.3.1 Problem formulation
    3.4 Particle Swarm Optimization（PSO） Approach
        3.4.1 Particle Swarm Optimization（PSO）
        3.4.2 Improve an PSO Algorithm for VMP
        3.4.3 PSO Algorithm description
    3.5 Chapter summary
4 EXPERIMENTS AND RESULT INTERPRETATION
    4.1 Introduction
    4.2 Performance Evaluation
        4.2.1 Experiment 1: Tests with small size of sample homogeneous environment
        4.2.2 Experiment 2: Tests with large size of sample homogeneous environment
    4.3 Comparisons result of Energy consumption
        4.3.1 Advantage and Disadvantage
    4.4 Summary
5 CONCLUSION AND RECOMMENDATIONS
    5.1 Conclusion Remarks
    5.2 Future Work
ACKNOWLEDGEMENT
REFERENCE
PUBLISH PAPER



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