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A study on resource management of infrastructure as service cloud providers

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dc.contributor.advisorJunseok Hwang-
dc.contributor.author메흐디-
dc.date.accessioned2017-07-13T08:56:51Z-
dc.date.available2017-07-13T08:56:51Z-
dc.date.issued2016-02-
dc.identifier.other000000132518-
dc.identifier.urihttps://hdl.handle.net/10371/119964-
dc.description학위논문 (박사)-- 서울대학교 대학원 : 공과대학 협동과정 기술경영·경제·정책전공, 2016. 2. Junseok Hwang.-
dc.description.abstractCloud computing consists of a variety of computing services that are running on the service provider's infrastructure. Due to the restricted amount of computing resources and dramatic increase in cloud users, cloud providers may fail to provide service to potential cloud users. A cloud user who, at any given time, fails to receive the needed resources with the expected quality, may likely switch from one cloud provider to another. Cloud providers should offer high quality services, with a guarantee of not restricting the number of accepted requests, maximize their profit, utilize their resources, and dynamically increase their available resources using cloud federation strategy, which prompt cloud service providers (CSPs) to collaborate and trade computing resources. This study is based on different scenarios of standalone cloud and federated cloud using discrete event simulation, explores the impact of profit, energy consumption of providers, and processing costs before and after cloud federation. The study presents policies for decisions whether cloud providers should outsource resources or use internal resources and the effect of cloud federation on the providers benefits. Additionally, the study proposes a new resource allocation for cloud providers in the federated environment based on the quality matchmaking algorithm for selecting the suitable cloud provider. In conclusion, this dissertation gives a reasonable explanation on the issues of resource management and service selection in the federated cloud computing area.-
dc.description.tableofcontentsChapter 1 Introduction 1
1.1 Motivation 1
1.2 Problem description 5
1.3 Research objective 10
1.4 Research questions 12
1.5 Research methodology 14
1.6 Contributions 15
1.7 Research outline 18

Chapter 2 Literature review 20
2.1 Cloud computing 20
2.1.1 Responsibility of each layer of cloud computing 26
2.1.2 Virtualization 27
2.1.3 IaaS cloud provider management 29
2.2 Cloud computing interoperability models 32
2.2.1 Federated cloud model 33
2.2.2 InterCloud 34
2.2.3 Hybrid cloud 36
2.2.4 Multi-Cloud 36
2.2.5 Service broker 37
2.3 Cloud federation 38
2.3.1 Vendor lock-in 41
2.3.2 Disaster recovery 43
2.3.3 Scalability 43
2.3.4 Hold-up problem 44
2.3.5 Interoperability and portability 44
2.3.6 Security 45
2.4 Federated cloud market trends 46
2.5 IaaS resources 48
2.5.1 On-Spot virtual machine 49
2.6 Summary 50

Chapter 3 Resource management 52
3.1 Efficient resource management 52
3.2 Resource Allocation (RA) 52
3.2.1 Allocation of resources in federated environment 56
3.3 Service Measurement Index (SMI) 57
3.3.1 SMI attributes for the IaaS provider 61
3.4 Quality Matchmaking(QM) 64
3.5 SLA violation 66
3.6 Cloud computing cost factors 67
3.7 Summary 70

Chapter 4 Methodology 71
4.1 Discrete-Event simulation 71
4.2 Proposed quality matchmaking algorithm 76
4.2.1 Phase 1: Construct SMI attributes for CSP 78
4.2.2 Phase 2: Normalize each SMI attributes of CSP 79
4.2.3 Phase 3: Normalize user QoS specification 80
4.2.4 Phase 4: Calculate the Euclidean distance 80
4.2.5 Example 81

Chapter 5 Simulation 84
5.1 Simulation scenarios 84
5.1.1 Processing cost scenarios 84
5.1.2 Resource allocation scenarios 88
5.2 Simulation flowchart 91

Chapter 6 Experiments and results 96
6.1 Processing time 96
6.2 Providers profit related to each scenario 103
6.2.1 Scenario 1 103
6.2.2 Scenario 2 107
6.2.3 Scenario 3 108
6.3 Energy consumption 109
6.3.1 Energy efficiency of IaaS providers 110
6.4 Simulation results summary 112

Chapter 7 Conclusions 116
7.1 Answer to research questions 116
7.2 Summary 118
7.3 Policy implications 120
7.4. Limitation and further Study 122

Bibliography 123

Glossary of terms 133

Appendix 136

초 록 143
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dc.formatapplication/pdf-
dc.format.extent2645673 bytes-
dc.format.mediumapplication/pdf-
dc.language.isoen-
dc.publisher서울대학교 대학원-
dc.subjectCloud federation-
dc.subjectcloud computing-
dc.subjectdatacenter energy consumption-
dc.subjectInfrastructure-as-a-service-
dc.subjectdiscrete-even simulation-
dc.subjectresource allocation-
dc.subject.ddc658-
dc.titleA study on resource management of infrastructure as service cloud providers-
dc.typeThesis-
dc.description.degreeDoctor-
dc.citation.pages144-
dc.contributor.affiliation공과대학 협동과정 기술경영·경제·정책전공-
dc.date.awarded2016-02-
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