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研究生:王國良
研究生(外文):Kuo-Liang Wang
論文名稱:雲端與傳統運算架構之效益比較分析:以海軍艦艇修護資訊系統為例
論文名稱(外文):The Performance Analysis of Cloud and Traditional Computing Architectures by Emulating Navy Ship Repair and Maintenance Information System
指導教授:林至中林至中引用關係黃俊閎黃俊閎引用關係
指導教授(外文):Jyh-Jong LinChun-Hung Huang
學位類別:碩士
校院名稱:銘傳大學
系所名稱:資訊管理學系碩士在職專班
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2011
畢業學年度:99
語文別:中文
論文頁數:75
中文關鍵詞:資訊技術自動化配置雲端運算
外文關鍵詞:Information Technology,cloud computing,auto prov
相關次數:
  • 被引用被引用:13
  • 點閱點閱:943
  • 評分評分:
  • 下載下載:254
  • 收藏至我的研究室書目清單書目收藏:2
雲端運算對運算資源自動化配置(auto provisioning)在網際網路大量且動態的服務需求下,已繼傳統運算架構採用之設定化配置(administrative provisioning)成為現今網服運算技術的新希望。從資訊技術的立場觀察,雲端運算確實具備分散式架構與叢集式運算的特質;從資訊管理的角度分析,雲端運算也因此具備集中管理、成本合理、架構具延展性及運算效能提昇等優勢。
Moreover, cloud computing gives IT service provider a bright sight by featuring automatic resources provisioning, other than traditional administrative provisioning, to support the huge and dynamic service demands from internet users. In terms of information technology, cloud computing advantages in distributed environment and clustering computation. From information management view point, cloud computing benefits from central control, justified cost, scalable architecture, and progressive performance.
摘要
ABSTRACT
誌謝
目錄
表目錄
圖目錄
第壹章 緒論
第一節 研究背景與動機
第二節 研究目的
第貳章 文獻探討
第一節 傳統運算
一、平行運算
二、分散式運算
三、公用運算
第二節 雲端運算
一、雲端運算的特性
二、雲端運算的架構
三、雲端運算的部署模式
第三節 運算效益
一、傳統運算架構效益
二、雲端運算架構效益
第參章 研究方法
第一節 研究步驟
第二節 研究流程
第三節 研究設計
一、規劃與建構傳統運算雛型環境
二、規劃與建構雲端運算雛型環境
三、建立維修資料樣本
四、釐訂建置成本指標
五、釐訂運算效能指標
六、發展效能量測模組
七、實證成本暨運算效益
第肆章 分析與結果
第一節 成本分析
第二節 效能分析
第伍章 結論與建議
第一節 研究發現與討論
第二節 研究貢獻與意涵
第三節 研究限制與未來研究建議
參考文獻
Buyya, R., Yeo, C. S., and Venugopal, S., “Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities,” IEEE International Conference on High Performance Computing and Communications, 2008.
Dean, Jeffrey and Ghemawat, Sanjay, “MapReduce: Simpli_ed Data Processing on Large Clusters,” Google, Inc.
Foster, I., Kesselman, C., and Tuecke S., “The Anatomy of the Grid: Enabling Scalable Virtual Organization,” The International Journal of High Performance Computing Applications, Vol. 15, No. 3, pp. 200-222, 2001.
Hamilton, D., “Cloud computing’ seen as next wave for technology investors,” Financial Post, 04 June, 2008.
Hewitt, C., “ORGs for Scalable, Robust, Privacy-Friendly Client Cloud Computing,” Internet Computing, IEEE Issue Date, Vol. 12, pp. 96 - 99, Sept.-Oct. 2008.
Kaplan, J. M., Forrest, W., Kindler N., “Revolutionizing Data Center Energy Efficiency,” July, 2008.
Kaufman, L.M.,” Data Security in the World of Cloud Computing,” Security & Privacy, IEEE, Vol. 7, pp.61 - 64, July-Aug. 2009.
Large Clusters:Sixth Symposium on Operating System Design and Implementation" , San Francisco, CA, December, 2004.
Li, J. Y., Wang, Y. M., “Communication Cost Consideration for Job Scheduling on Clusters,” Proceedings of the First Workshop on Grid Technologies and Applications, pp. 7-11, 2004.
Matos, M., Sousa, A. Pereira, J., and Oliveira, R., “Clon: Overlay Network for Clouds,” in: Proceedings of the Third Workshop on Dependable Distributed Data Management, 2009.
Mayo, R., Perng, C., “Cloud Computing Payback, An explanation of where the ROI comes from Cloud Computing White Paper” , IBM, Nov. 2009.
Pallickara, S., Ekanayake, J., and Fox, G., “An Overview of the Granules Runtime for Cloud Computing,” IEEE Fourth International Conference on, 2009.
Reed, David, “A Balanced Introduction to Computer Science,” Prentice-Hall, 2005.
Silberschatz Abraham, Galvin Peter Baer, and Gagne Greg, “ Operating System Concepts,” 2008.
Skilton, M., ”Building Return on Investment from Cloud Computing, ”April, 2010.
Sterling, T. L., Salmon, J., Becker, D. J., and Savarese, D. F., “How to Build a Beowulf-A Guide to the Implementation and Application of PC Clusters,” Cambridge, Ma, The MIT Press, 1999.
Vouk, M. A., “Cloud Computing; Issues, Research and Implementations,” Information Technology Interfaces, ITI 2008, 30th International Conference on, 2008.
Wang, L., Tao, J., Kunze, M., Castellanos, A. C., Kramer, D., and Karl, W., “Scientific Cloud Computing: Early Definition and Experience,” High Performance Computing and Communications, 10th IEEE International Conference on, 2008.
Wei, Yi, Blake, M. B., ”Service-Oriented Computing and Cloud Computing: Challenges and Opportunities,” Internet Computing, IEEE, Vol. 14, pp.72 - 75, Nov.-Dec. 2010.
Yang, Haibo, Tate, Mary, “Where are we at with Cloud Computing? : A Descriptive Literature Review,” 20th Australasian Conference on Information Systems 2-4, Dec, 2009.
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