【摘要】：摘要：隨著商業(yè)應用和科研領(lǐng)域的計算需求日益增長,云計算為滿足這些計算需求提供了一種符合成本效益的的計算資源供給方式,并在工業(yè)界和學術(shù)界得到迅速發(fā)展和廣泛應用。云數(shù)據(jù)中心將計算資源、存儲資源和網(wǎng)絡(luò)資源構(gòu)建成動態(tài)的虛擬資源池,實現(xiàn)云資源的自動部署、動態(tài)擴展和按需分配,用戶通過網(wǎng)絡(luò)隨時、隨地、按需獲得資源服務(wù)。然而,應用于商業(yè)環(huán)境的云計算需要面對復雜多樣的用戶需求,提供有質(zhì)量保障的服務(wù)是云計算獲得市場認可和商業(yè)推廣的關(guān)鍵,因此,如何通過有效地用戶任務(wù)分配和虛擬資源調(diào)度來保障用戶QoS (Quality of Service,服務(wù)質(zhì)量)是云計算資源管理中的重要問題。 本文結(jié)合云計算的商業(yè)模式和技術(shù)特點,對云計算資源管理中的QoS保障機制進行研究并提出解決方案。首先通過討論云計算QoS保障的關(guān)鍵問題,研究可量化的云計算QoS指標體系,并設(shè)計了提供QoS保障的云計算資源管理系統(tǒng),其中包括任務(wù)在虛擬機資源上的分配和虛擬機資源在宿主物理主機上的調(diào)度。然后分別對系統(tǒng)中的兩級調(diào)度問題分別深入研究：一方面根據(jù)用戶服務(wù)請求的多樣性,從優(yōu)化成本的角度提出基于分級選址模型的資源分配優(yōu)化模型,另一方面根據(jù)數(shù)據(jù)中心中物理資源復雜異構(gòu)的特點,從提高資源利用率的角度提出基于背包問題的虛擬資源動態(tài)調(diào)度模型,并給出改進蟻群算法的資源調(diào)度策略。本文通過將用戶的QoS需求作為約束條件應用于資源管理模型的建模和設(shè)計中,形成了最大化經(jīng)濟效益的云計算資源管理QoS保障機制。 最后,通過擴展CloudSim云計算仿真平臺,本文對云計算資源管理的模型及算法進行了實驗驗證和對比,證明了本文提出的算法的可行性和有效性,實現(xiàn)了在保障QoS的同時最優(yōu)化運營成本和資源利用率,為云計算資源管理中的QoS保障研究提供了有效的借鑒方案。
[Abstract]:Absrtact: with the increasing demand for computing in commercial applications and scientific research, cloud computing provides a cost-effective way to supply computing resources to meet these computing needs. And in industry and academia has been rapid development and wide application. Cloud data center will construct dynamic virtual resource pool of computing resources, storage resources and network resources, realize the automatic deployment of cloud resources, dynamic expansion and distribution according to demand, and users can obtain resources services at any time, anywhere and on demand through the network. However, the application of cloud computing in the business environment needs to face complex and diverse user needs. Providing quality assurance services is the key for cloud computing to gain market recognition and business promotion. It is an important problem in cloud computing resource management that how to ensure the quality of service of user QoS (Quality of Service, through effective user task allocation and virtual resource scheduling. Combined with the business model and technical characteristics of cloud computing, this paper studies the QoS guarantee mechanism in cloud computing resource management and puts forward solutions. Firstly, through discussing the key issues of cloud computing QoS guarantee, the quantifiable index system of cloud computing QoS is studied, and the cloud computing resource management system which provides QoS guarantee is designed. It includes task allocation on virtual machine resource and scheduling of virtual machine resource on host physical host. Then the two-level scheduling problem in the system is studied in depth. On the one hand, according to the diversity of user service requests, a resource allocation optimization model based on hierarchical location model is proposed from the point of view of optimizing cost. On the other hand, according to the complexity and heterogeneity of physical resources in data centers, a dynamic scheduling model of virtual resources based on knapsack problem is proposed from the point of view of improving resource utilization, and a resource scheduling strategy based on improved ant colony algorithm is presented. In this paper, the QoS requirements of users are applied to the modeling and design of resource management model, and the QoS guarantee mechanism of cloud computing resource management is formed to maximize the economic benefits. Finally, by extending the CloudSim cloud computing simulation platform, this paper verifies and compares the model and algorithm of cloud computing resource management, and proves the feasibility and effectiveness of the proposed algorithm. It realizes the optimization of operating cost and resource utilization while guaranteeing QoS, and provides an effective reference scheme for the research of QoS guarantee in cloud computing resource management.
【學位授予單位】：北京交通大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TP393.09

【參考文獻】

相關(guān)期刊論文 前10條

1 郭玉棟;;基于校園網(wǎng)絡(luò)應用的QoS保障機制的設(shè)計及實現(xiàn)[J];電腦開發(fā)與應用;2011年09期

2 章海峰;郝春艷;楊超;;帶三重容量限制的中轉(zhuǎn)物流選址-分配模型[J];管理工程學報;2008年01期

3 鄧仲華;李志芳;黎春蘭;;云服務(wù)質(zhì)量的挑戰(zhàn)及保障研究[J];圖書與情報;2012年04期

4 鄧仲華;汪宣晟;李志芳;陸穎雋;;信息資源云服務(wù)的質(zhì)量評價指標研究[J];圖書與情報;2012年04期

5 黎春蘭;鄧仲華;;論云計算的服務(wù)質(zhì)量[J];圖書與情報;2012年04期

6 華夏渝;鄭駿;胡文心;;基于云計算環(huán)境的蟻群優(yōu)化計算資源分配算法[J];華東師范大學學報(自然科學版);2010年01期

7 張楠;邱雪松;;基于立體QoS模型的Web服務(wù)質(zhì)量模糊評價[J];計算機工程;2008年09期

8 葛新;陳華平;杜冰;李書鵬;;基于云計算集群擴展中的調(diào)度策略研究[J];計算機應用研究;2011年03期

9 林云;田帥輝;;物流云服務(wù)——面向供應鏈的物流服務(wù)新模式[J];計算機應用研究;2012年01期

10 錢瓊芬;李春林;張小慶;李臘元;;云數(shù)據(jù)中心虛擬資源管理研究綜述[J];計算機應用研究;2012年07期

相關(guān)博士學位論文 前1條

1 劉曉茜;云計算數(shù)據(jù)中心結(jié)構(gòu)及其調(diào)度機制研究[D];中國科學技術(shù)大學;2011年

，

本文編號：2298356