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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 曹承礎(Seng-Cho Chou) | |
dc.contributor.author | Chin-Chun Lo | en |
dc.contributor.author | 羅敬鈞 | zh_TW |
dc.date.accessioned | 2021-06-15T05:41:40Z | - |
dc.date.available | 2011-06-01 | |
dc.date.copyright | 2011-01-17 | |
dc.date.issued | 2010 | |
dc.date.submitted | 2010-09-01 | |
dc.identifier.citation | [1] Amazon Elastic Compute Cloud (Amazon EC2), http://www.amazon.com/ec2, 2009.
[2] Amazon Simple Storage Service (Amazon S3), http://www.amazon.com/s3, 2009. [3] Amazon Web Service, http://aws.amazon.com/ , 2009. [4] Armbrust M., Fox A., Griffith R., Joseph A., Katz R., Konwinski A., Lee G., Patterson D., Rabkin A., Stoica I., Zaharia M., “Above the Clouds: A Berkeley View of Cloud computing,” Technical Report No. UCB/EECS-2009-28, University of California at Berkley, USA, Feb. 10th, 2009. [5] Assuncao M.D.d., Costanzo, A.d., and Buyya R., “Evaluating the Cost-Benefit of Using Cloud Computing to Extend the Capacity of Clusters,” in: Proceedings of the 18th ACM international symposium on High performance distributed computing. Garching, Germany: ACM, 2009. [6] Bhathiya W., Rodrigo N. Calheiros, Buyya, 'CloudAnalyst: A CloudSim-Based Visual Modeller for Analysing Cloud Computing Environments and Applications,' aina, pp.446-452, 2010 24th IEEE International Conference on Advanced Information Networking and Applications, 2010. [7] BroadGroup, http://www.broad-group.com, 2010. [8] Buyya R., Murshed M., “Gridsim: A toolkit for the modeling and simulation of distributed resource management and scheduling for grid computing,” Comcurrency Practice and Experience, 14(14-15), Nov-Dec 2002. [9] Buyya R., Ranjan, R., Calheiros R.N., “Modeling and Simulation of Scalable Cloud Computing Environments and the CloudSim Toolkit: Challenges and Opportunities,” Keynote Paper. In: Proceedings of the 7th High Performance Computing and Simulation (HPCS 2009) Conference, Leipzig, Germany, 2009. [10] CloudSim 2.0 api specification http://www.gridbus.org/cloudsim/doc/api/index.html, 2010. [11] David B., Erik L., Krishna S., Steve D., Monique M., “Blueprint for the Intercloud - Protocols and Formats for Cloud Computing Interoperability,” iciw, pp.328-336, 2009 Fourth International Conference on Internet and Web Applications and Services, 2009. [12] Fontán J., Vázquez T., Gonzalez L., Montero S. R., and Llorente M. I., “OpenNEbula: The open source virtual machine manager for cluster computing,” In Open Source Grid and Cluster Software Conference - Book of Abstracts, San Francisco, USA, May 2008. [13] Google, http://google.com, 2009. [14] Greenberg A., James H., David A. Maltz, Parveen P., The Cost of a Cloud: Research Problems in Data Center Networks, CCR, v39, n1, Jan 2009. [15] Hamid R., Motahari-Nezhad, Stephenson B., Singhal S., “Outsourcing Business to Cloud Computing Services: Opportunities and Challenges,” Technical Report HPL-2009-23. January 2009. [16] Hamilton J., “Internet-Scale Service Efficiency,” In Large-Scale Distributed Systems and Middleware (LADIS) Workshop, September 2008. [17] HP, “HP School Cloud,” http://government.hp.com/solutions_detailtabs.asp?sid=80&agencyid=135, 2010. [18] Jim L., John C., Murray W., Marin L., and Gabriel I., “Performance model driven QoS guarantees and optimization in clouds,” icse-cloud, pp.15-22, 2009 ICSE Workshop on Software Engineering Challenges of Cloud Computing, 2009. [19] Li X., Li Y., Liu T., Qiu J., Wang F., “The Method and Tool of Cost Analysis for Cloud Computing,” Cloud Computing, 2009. CLOUD '09. IEEE International Conference on. September, 2009. [20] Merrill Lynch Estimates 'Cloud Computing' To Be $100 Billion Market, SYS-CON Media - Jul 8. 2008. [21] Nurmi D., Wolski R., Grzegorczyk C., Obertelli G., Soman S., Youseff L., and Zagorodnov D., “Eucalyptus open-source cloud-computing system.” In CCA08: Cloud Computing and Its Applications, 2008. [22] Nurmi D., Wolski, R., Grzegorczyk, C., Obertelli, G., Soman, S., Youseff, L., and Zagorodnov, D., “Eucalyptus: A Technical Report on an Elastic Utility Computing Archietcture Linking Your Programs to Useful Systems,” Tech. Rep. 2008-10, University of California, Santa Barbara, October 2008. [23] Oracle, Architectural Strategies for Cloud Computing, http://www.oracle.com/technology/architect/entarch/pdf/architectural_strategies_for_cloud_computing.pdf , 2009. [24] Patel P., Ranabahu A., Sheth A., and Cente K., “Service Level Agreement in Cloud Computing,” 2009. [25] RED Herring, “IBM, Google Extend the Medical Cloud,” http://www.redherring.com/home/25808, 2010. [26] Salesforce.com, http://salesforce.com, 2009. [27] Staten J., “Is Cloud Computing Ready For The Enterprise?” Forrester Research, March 7, 2008. Online behind a pay firewall at: http://www.forrester.com/Research/Document/Excerpt/0,7211,44229,00.html [28] 陳瑩等著,2010,雲端運算與虛擬化技術Cloud Computing Strategy,台北市:天下雜誌,58-79 | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/46805 | - |
dc.description.abstract | 隨著雲端運算的興起,企業與個人都可以享受到即用即付(pay-as-you-go)模式所帶來的成本優勢及虛擬化技術(virtualization technology)所提供的效益。當頻寬、儲存空間、運算等電腦資源可以如同水電一樣被消費時,人類未來的生活方式以及產業界將產生很大的改變。
然而,雲端運算也面臨了挑戰。考量到資料安全性以及服務層級協議(SLAs)的未臻完善,許多組織仍未採用大型廠商所提供的雲端服務。混合雲(hybrid cloud)由於可以結合私有雲(private cloud)對資料的妥善管控,以及公用雲(public cloud)的低廉成本優勢,被視為是下一個機會。 當混合雲成為一個解決方案時,該如何妥善配置私有雲跟公用雲的比例來將效益最大化?我們將這樣的比例稱為”混合雲架構”(hybrid-cloud architecture)。根據本研究的效能模型(performance model),我們針對基礎架構及服務(IaaS, Infrastructure as a Service)的部份作深入探討,分析不同混合雲架構下的成本效益。考量了在資料安全以及服務層級協議(SLAs, service level agreements)如系統回應時間上的要求,我們可以客製化地為不同特性及需求的組織提供最佳化混合雲架構的建議。 | zh_TW |
dc.description.abstract | With the emergence and quick development of cloud computing, both enterprises and individuals enjoy the cost advantage brought by pay-as-you-go model and efficiency which virtualization technology provides. As the bandwidth, storage and computing resources can be consumed in a utility fashion, the industry and the ways of living are anticipated to be greatly revolutionized.
While cloud computing yields new opportunities, challenges arise. Data security concern and lack of service level agreements (SLAs) are preventing organizations from adopting cloud services from external vendors. In this context, hybrid cloud seems to evolve as the next big opportunity for combining the advantage of private cloud’s direct control on sensitive data and that of public cloud’s low cost. As hybrid cloud begins to be seen as a solution, the optimal ratio of private and public cloud becomes an issue. We term a strategy of how much percentage should go for private while the rest go for public as “hybrid-cloud architecture”. Based on our performance model, we focus on Infrastructure as a Service (IaaS) category and conduct cost-effective analysis under different hybrid-cloud architectures. Taking into consideration different levels of security requirement and service response time as SLAs, we give customized suggestions on the optimal hybrid-cloud architecture for organizations with various characteristics and requirements. | en |
dc.description.provenance | Made available in DSpace on 2021-06-15T05:41:40Z (GMT). No. of bitstreams: 1 ntu-99-R97725018-1.pdf: 2124351 bytes, checksum: 4746aa4412003d9a9161089457f9718f (MD5) Previous issue date: 2010 | en |
dc.description.tableofcontents | ABSTRACT II
摘要 III LIST OF CONTENTS IV LIST OF FIGURES VI LIST OF TABLES VII CHAPTER 1 INTRODUCTION 1 1.1 BACKGROUND AND MOTIVATION 1 1.2 OBJECTIVES 2 1.3 THESIS OUTLINE 3 CHAPTER 2 LITERATURE REVIEW 4 2.1 CLOUD COMPUTING 4 2.2 CLOUD SERVICE 6 2.2.1 Infrastructure as a Service (IaaS): 7 2.2.2 Platform as a Service (PaaS): 7 2.2.3 Software as a Service (SaaS): 7 2.2.4 Cloud service providers 7 2.3 RELATED ISSUES AND WORKS ABOUT CLOUD COMPUTING 9 CHAPTER 3 RESEARCH METHODOLOGY 13 3.1 PERFORMANCE METRICS 13 3.1.1 Response time improvement 14 3.1.2 Cost spent on infrastructure 14 3.1.3 Performance curve 16 3.2 PARAMETERS REPRESENT ORGANIZATION CHARACTERISTICS 16 3.3 SIMULATION TOOLKIT - CLOUDSIM 19 3.3.1 CloudSim Architecture 20 CHAPTER 4 IMPLEMENTATION AND EXPERIMENTAL RESULT 22 4.1 SYSTEM ARCHITECTURE AND IMPLEMENTATION 22 4.2 EXPERIMENTAL SCENARIO 24 4.2.1 Security 26 4.2.2 Computing and storage 32 4.2.3 Total number of servers 37 4.2.4 Cost of private cloud 46 4.3 EXPERIMENTAL RESULT 48 CHAPTER 5 CONCLUSION 50 5.1 SUMMARY 50 5.2 CONTRIBUTION 51 5.3 LIMITATION 52 5.4 FUTURE WORK 52 BIBLIOGRAPHY 54 APPENDIX 57 | |
dc.language.iso | en | |
dc.title | 不同特性的組織利用混合雲的最佳化架構分析 | zh_TW |
dc.title | Customized and optimal hybrid cloud architecture strategy for organizations with various characteristics | en |
dc.type | Thesis | |
dc.date.schoolyear | 98-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 陳鴻基(Hung-Chi Chen),杜志挺 | |
dc.subject.keyword | 雲端運算,基礎架構即服務,混合雲,私有雲,資料安全,服務層級協議,成本效益分析, | zh_TW |
dc.subject.keyword | cloud computing,IaaS,hybrid cloud,private cloud,data security,SLAs,cost-effective analysis, | en |
dc.relation.page | 63 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2010-09-01 | |
dc.contributor.author-college | 管理學院 | zh_TW |
dc.contributor.author-dept | 資訊管理學研究所 | zh_TW |
顯示於系所單位: | 資訊管理學系 |
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