基于云数据中心的节能虚拟机布局研究
发布时间：2020-12-21 00:47
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...
【文章来源】：山东科技大学山东省
【文章页数】：65 页
【学位级别】：硕士
【文章目录】：
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
本文编号：2928870
【文章来源】：山东科技大学山东省
【文章页数】：65 页
【学位级别】：硕士
【文章目录】：
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
本文编号：2928870
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