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研究生:蔡秉融
研究生(外文):Bing-Rong Tsai
論文名稱:虛擬化技術下虛擬CPU資源配置之最佳化
論文名稱(外文):Optimize Virtual CPU Resource Allocation in Virtualized Technology
指導教授:曾嘉影
指導教授(外文):Chia-Ying Tseng
口試委員:曾嘉影
口試日期:2012-07-06
學位類別:碩士
校院名稱:大同大學
系所名稱:資訊工程學系(所)
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2012
畢業學年度:100
語文別:中文
論文頁數:34
中文關鍵詞:虛擬化KVMVCPU 資源配置負載平衡
外文關鍵詞:VirtualizationKVMVCPU Resource AllocationLoad balance
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隨著近年來雲端運算的發展,多核心技術快速進步,使得硬體效能不斷提升,虛擬化成為重要關鍵技術,而如何讓資源得到最佳的配置,成為我們需要探討的議題。
本論文提出建構於KVM(Kernel based Virtual Machine)全虛擬化架構下,虛擬CPU資源配置之最佳化。此系統改善傳統資源配置的缺失,並且針對相關研究DAVMCR機制與DRAMS方案加以修改,採用了CPU SPEC技術解決依照使用者硬體環境的不同來動態調整配置資源, 此外,加入CPU最佳使用率讓整體系統在該設定下達到負載平衡。
實驗結果顯示,此方法可以提高系統資源使用率,比起傳統的配置方案效能提升了34%,達到資源配置最佳化與自動化目標,同時能減少實體主機數量的需求和維修成本、人力支出,充分利用整體系統資源。
With the development of cloud computing, virtualization has become an important key technology. How to solve the resource allocation and utilization problem will be dis-cussed.
In this thesis, we presents a dynamic adjustment mechanism for computing re-sources based on KVM (Kernel based Virtual Machine). This system is to improve the shortcomings of the resources allocation in traditional way, and be modified for the study DAVMCR mechanism and the DRAMS program. When system is running, using CPU SPEC technical to solve depending on the user different hardware environment to dy-namic adjust the allocation of resources. In addition, adding the optimal utilization rate of CPU let whole system to achieve load balance.
Experimental result shows that by applying the proposed method can get better uti-lization rate of resources. The performance improves 34% compared to the traditional al-location program. It can also reduce the demand of the physical machines and reduce the cost of hardware maintenance. Take full advantage of the overall system resources.
謝誌 i
ABSTRACT ii
摘要 iii
目次 iv
圖目錄 vi
表目錄 vii
第一章 緒論 1
1.1 前言 1
1.2 論文架構 2
第二章 研究背景與相關研究 3
2.1研究背景 3
2.1.1 虛擬化技術 3
2.1.2 虛擬化資源管理 4
2.1.3 Xen 5
2.1.4 KVM 6
2.1.5 Xen 與 KVM之比較 7
2.2 相關研究 8
2.2.1 SPEC CPU 8
2.2.2 DAVMCR 機制 9
2.2.3 DRAMS方案 9
第三章 系統設計與分析 12
3.1問題敘述 12
3.2系統設計 12
3.3系統分析 13
3.4 VCPU資源配置系統架構 14
第四章 測試與討論 16
4.1 實驗環境 16
4.2 實驗結果 17
第五章 結論 22
參考文獻(REFERENCES) 23
[1] Paul Barham, Boris Dragovic, Keir Fraser, Steven Hand, Tim Harris,Alex Ho, Rolf
Neugebauer, Ian Pratt, Andrew Warfield “Xen and the Art of Virtualization” ACM SIGOPS Operating Systems Review,pp.164-177, 2003
[2] “KVM kernel-base virtual machine” available at
http://www.linux-kvm.org/page/Main_Page
[3] Spec, http://www.spec.org/
[4] Chih-Kai Hu “Dynamic Adjustment Mechanism of the Virtual Machine Computing Resources in the Cloud Computing” ITA2010,June 2010
[5] Jui-Kuo Hur “Dynamic Resource Allocation of Multi-core System in Virtual Machine Environment” ITIA2011,pp.10,Jun,2011
[6] Aziz Murtazaev, Sangyoon OhZ“Sercon: Server Consolidation Algorithm using Live Migration of Virtual Machines for Green Computing”IETE TECHNICAL REVIEW VOL 28, ISSUE 3, pp.212-232, MAY-JUN 2011
[7] “Linux CPU benchmark” available at ,http://www.linuxidc.com/Linux/
[8] Xen, http://linux.vbird.org/
[9] Zhiyuan Shao, Hai Jin, Yong Li“Virtual Machine Resource Management for High Performance Computing Applications”2009 IEEE International Symposium on Parallel and Distributed Processing with Applications, pp.137-144, 10-12 Aug. 2009
[10] Zhiyuan Shao, Hai Jin, Xiaowen Lu “PMonitor:A Lightweight Performance Monitor for Virtual Machines”2009 First International Workshop on Education Technology and Computer Science, pp.689-693, 7-8 March 2009
[11] Junjie Peng, Xuejun Zhang, Zhou Lei, Bofeng Zhang, Wu Zhang, Qing Li “Compar-ison of Several Cloud Computing Platforms” Second International Symposium on Information Science and Engineering, pp.23-27, 26-28 Dec. 2009
[12] Zili Xiong, Zhang Zhang, Huafeng Kong, Deqing Zou “Genetic Algorithm-based Power Management in Cloud Platform” IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), pp.1-4, 16-18 Aug. 2011
[13] Jianhua Gu, Jinhua Hu, Tianhai Zhao, Guofei Sun “A New Resource Scheduling Strategy Based on Genetic Algorithm in Cloud Computing Environment”
[14] Song Wu, Li Deng, Hai Jin, Xuanhua Shi, Yankun Zhao, Wei Gao, Jianyin Zhang, Jin Peng “Virtual Machine Management Based on Agent Service” The 11th Interna-tional Conference on Parallel and Distributed Computing, Applications and Tech-nologies, pp.199-204, 8-11 Dec. 2010
[15] Wenjuan Li, Lingdi Ping, Xuezeng Pan “Use Trust Management Module to Achieve Effective Security Mechanisms in Cloud Environment” 2010 International Confer-ence on Electronics and Information Engineering, pp.14-19, 1-3 Aug. 2010
[16] Vladimir Stantchev “Performance Evaluation of Cloud Computing Offerings” 2009 Third International Conference on Advanced Engineering Computing and Applica-tions in Sciences, pp.187-192, 11-16 Oct. 2009
[17] Super PI Single-threaded Benchmark, http://www.superpi.net/About/.
[18] Cong Xu, Yuebin Bai, Cheng Luo“Performance Evaluation of Parallel Programming in Virtual Machine Environment” 2009 Sixth IFIP International Conference on Net-work and Parallel Computing, pp.140-147, 19-21 Oct. 2009
[19] Wesley Emeneker, Amy Apon“Cache Effects of Virtual Machine Placement on
Multi-Core Processors” 2010 10th IEEE International Conference on Computer and Information Technology, pp.2261-2266, June 29 2010-July 1 2010
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