| Acknowledgement | 第4-5页 |
| 摘要 | 第5-6页 |
| Abstract | 第6-7页 |
| List of abbreviations and symbols | 第15-17页 |
| Glossary | 第17-18页 |
| 1 Introduction | 第18-24页 |
| 1.1 Research background | 第20-21页 |
| 1.2 The significance of the research | 第21页 |
| 1.3 Research Problems and proposed solutions | 第21-22页 |
| 1.4 Methodology and results of the study | 第22-23页 |
| 1.5 Research content and results | 第23-24页 |
| 2 Review of existing researches in cloud computing environment | 第24-52页 |
| 2.1 Resource Management techniques in Cloud Computing Environment | 第24-41页 |
| 2.1.1 Introduction | 第24-26页 |
| 2.1.2 The scope of cloud resource management | 第26-27页 |
| 2.1.3 Requirements of cloud resource management | 第27-28页 |
| 2.1.4 Challenges in cloud resource management | 第28-29页 |
| 2.1.5 Strategies in cloud resource management | 第29-32页 |
| 2.1.6 Resource Management Techniques | 第32-41页 |
| 2.2 Task Scheduling Algorithms in Cloud Computing | 第41-51页 |
| 2.2.1 Task scheduling algorithm based on genetic algorithm | 第42-43页 |
| 2.2.2 Cloud Task Scheduling Based on Ant Colony Optimization | 第43-46页 |
| 2.2.3 Task Scheduling algorithm based on Honey bee behavior | 第46-47页 |
| 2.2.4 Task scheduling algorithm based on QoS in cloud computing | 第47页 |
| 2.2.5 Task Scheduling Based On Differential Evolution Algorithm | 第47-48页 |
| 2.2.6 Task Scheduling based on Min-Min algorithm in cloud computingenvironment | 第48页 |
| 2.2.7 Task Scheduling based on Max-Min algorithm in cloud computing | 第48-49页 |
| 2.2.8 Task Scheduling Algorithm based on priority in Cloud Computing | 第49页 |
| 2.2.9 Task Scheduling Algorithm Based on Load Balancing in CloudComputing | 第49-51页 |
| 2.3 Summary | 第51-52页 |
| 3 Task Scheduling and Virtual Resource Optimization in Cloud Computingenvironment based on Hadoop YARN | 第52-72页 |
| 3.1 Introduction | 第52-53页 |
| 3.2 Background | 第53-55页 |
| 3.3 Problem Description | 第55-61页 |
| 3.3.1 Optimized Task Scheduling in Hadoop MapReduce | 第56-61页 |
| 3.4 Task Scheduling and Resource Optimization Based on Time Model forHadoop Cloud Computing | 第61-66页 |
| 3.5 Performance Evaluation | 第66-70页 |
| 3.6 Summary | 第70-72页 |
| 4 Task Scheduling and Resource Optimization based on Heuristic Algorithms inCloud Computing Environment | 第72-94页 |
| 4.1 Introduction | 第72-73页 |
| 4.2 Background of cloud resource optimization model | 第73-75页 |
| 4.3 Problem Statement | 第75-79页 |
| 4.3.1 Assumptions and problem formulation | 第75-79页 |
| 4.4 Objective function formulation | 第79-80页 |
| 4.5 Particle Swarm Optimization Algorithm | 第80-85页 |
| 4.5.1 The implementation of MPSO Algorithm for Task Scheduling andVirtual Resource in Cloud Computing | 第82-85页 |
| 4.6 Algorithms Descriptions | 第85-87页 |
| 4.7 Simulation and Analysis of the Results | 第87-93页 |
| 4.7.1 Simulation Environment | 第87-93页 |
| 4.8 Summary | 第93-94页 |
| 5 Task Scheduling and Cloud Resources Optimization based on EvolutionaryAlgorithms | 第94-114页 |
| 5.1 Introduction | 第94-97页 |
| 5.2 Background | 第97-103页 |
| 5.2.1 Task Scheduling Algorithm | 第97页 |
| 5.2.2 Basic Genetic Algorithm | 第97-98页 |
| 5.2.3 Task Model | 第98-101页 |
| 5.2.4 Single machine scheduling problem | 第101-102页 |
| 5.2.5 Multiple machine scheduling Problem | 第102-103页 |
| 5.3 Algorithm design | 第103-109页 |
| 5.3.1 Evaluation of space and time complexity | 第107页 |
| 5.3.2 Performance comparison and analysis | 第107-109页 |
| 5.4 Simulation and Results Analysis | 第109-113页 |
| 5.5 Summary | 第113-114页 |
| 6 Conclusion | 第114-116页 |
| References | 第116-126页 |
| 作者简历及在学研究成果 | 第126-129页 |
| 学位论文数据集 | 第129页 |
