博碩士論文 995202054 詳細資訊




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姓名 羅祐民(Yo-Ming Lo)  查詢紙本館藏   畢業系所 資訊工程學系
論文名稱 混合雲端環境上的多重代理人動態調適計算管理架構
(An Adaptive Multi-Agent-Based Framework for Computation Management on Hybrid Cloud Environments)
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摘要(中) 典型的混合雲環境為私有資料中心與一部分公有雲的結合,它能夠在需要時提供私有資料中心的運算資源,因此可以減少企業建置計算資源的成本,將成本風險轉嫁至雲端服務提供者。本研究結合多重代理人系統、雲端運算,提出一個計算管理系統,它可以在具有自我資源供應能力的混合雲環境下進行自我調適與平衡負載。當私有資料中心出現負載過重的情況下,我們提出的架構將會自動地在公有雲上開啟更多計算資源,並將負載遷移至其上以減少私有資料中心的負載。我們利用多重代理人技術來管理資源、監控應用程式資訊與協調系統的所有行為。我們針對不同類型的計算模式提出其運行的自動調適模式,並在混合雲環境的上進行數個實驗,來證明我們所提出的架構能達到自動調適與負載平衡。
摘要(英) A typical hybrid cloud consists of a private data center and a portion of a public cloud. It can potentially scale up the computing pool of a private cloud on demand. Therefore, it can reduce the cost of building a private cloud (data center) and transfer the risk to the cloud service provider. In this work, we adopt the concepts of multi-agent systems and cloud computing systems, and develop a framework to support self-adaptability and dynamic load balancing in a self-provisioning cloud environment. In the case that the workload of the private data center is too high, the proposed framework creates more computing resources in the public cloud automatically, and moves the ultra-burden tasks to the public cloud in order to reduce the workload of the private data center. The proposed framework employs the multi-agent technique to manage all resources, to monitor applications, and to negotiate all actions in the hybrid cloud. We have designed different adaptive models for different types of applications in the proposed system architecture, including Hadoop-based applications, MPI-based applications, and web services. We have built a prototype of the proposed system architecture to demonstrate how it is able to perform self-adaptation and load balancing.
關鍵字(中) ★ 多重代理人系統
★ 混合雲
★ 雲端運算
關鍵字(英) ★ Multi-Agent System
★ Hybrid Cloud
★ Cloud Computing
論文目次 摘要 IV
Abstract V
目錄 VI
圖目錄 VIII
表目錄 X
第一章 緒論 1
1-1研究背景 1
1-2研究動機 2
1-3實作目標與研究貢獻 3
1-4論文架構 5
第二章 背景知識 6
2-1 智慧型代理人 6
2-1 Java Agent Development Framework 7
2-2 Message Passing Interface 8
2-3 Linux virtual server 9
2-4 System Architecture for Managing and Establishing Virtual Elastic Datacenters 11
第三章 服務遷移相關研究 13
3-1相關研究 13
3-2 Windows Azure 14
3-3 Google App Engine 15
3-4 Amazon Web Service 16
第四章 系統架構 18
4-1系統模型 18
4-2系統實作細節 23
4-3系統運作流程 25
第五章 應用程式服務與其相關遷移政策 28
5-1系統重組決策 28
5-2 MPI-based Application 31
5-3 Web Service 34
5-4 Hadoop-based Application 36
第六章 實驗測量與環境 37
6-1系統環境 37
6-2系統運行數據 40
第六章 結論 44
參考文獻 45
參考文獻 參考文獻
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[3] Jorg Strebel, Alexander Stage, “An economic decision model for business software application deployment on hybrid Cloud environments”, Multikonferenz Wirtschaftsinformatik, pp. 195-206, 2010.
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[15] Wei-Jen Wang, Yo-Ming Lo, Shao-Jui Chen, and Yue-Shan Chang, “Intelligent Application Migration within a Self-Provisioned Hybrid Cloud Environment,” Lecture Notes in Electrical Engineering, Vol.114, pp.295-303, 2011.
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[20] Hui Zhang, Guofei Jiang, Kenji Yoshihira, Haifeng Chen, Akhilesh Saxena,“Intelligent Workload Factoring for a Hybrid Cloud Computing Model,” 2009 Congress on Services –I pp. 701-708.
[21] 小朱,Windows Azure教戰手札,初版,碁峯圖書,民國九十八年。
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指導教授 王尉任(Wei-Jen Wang) 審核日期 2012-8-15
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