【摘要】：隨著云計(jì)算的發(fā)展和服務(wù)需求的增多,出現(xiàn)了面向業(yè)務(wù)流程的云服務(wù)系統(tǒng),即云環(huán)境下的基于組件服務(wù)的軟件系統(tǒng)。系統(tǒng)中云服務(wù)以業(yè)務(wù)流形式提供服務(wù),而業(yè)務(wù)流中的每個(gè)任務(wù)均被綁定在相應(yīng)的云組件上,這些組件服務(wù)共同協(xié)作完成整個(gè)服務(wù)。每個(gè)組件服務(wù)可以有一個(gè)或多個(gè)副本并被部署在云環(huán)境資源池中。這里的云服務(wù)是一個(gè)服務(wù)業(yè)務(wù)流程,其具有組件服務(wù)并發(fā)請(qǐng)求變化,組件服務(wù)重要性差異,組件服務(wù)副本數(shù)目差異等特點(diǎn),這些特點(diǎn)對(duì)云服務(wù)的性能產(chǎn)生一定影響并可能造成性能瓶頸、虛擬機(jī)利用率低、組件服務(wù)副本數(shù)目不足等問題。因此,為基于多副本的云服務(wù)制定有效的服務(wù)性能保障機(jī)制逐漸成為研究熱點(diǎn)。在以往服務(wù)性能保障方法的基礎(chǔ)上,本文借鑒服務(wù)組合中面向服務(wù)QoS的增量部署方法,分析了其不足之處,提出了一種基于組件服務(wù)副本增刪的云服務(wù)性能保障方法。整個(gè)性能保障方法主要研究兩個(gè)重點(diǎn),即基于組件服務(wù)質(zhì)量和重要性的云服務(wù)的瓶頸診斷方法和面向云服務(wù)性能保障的組件服務(wù)副本增刪方法。對(duì)于瓶頸診斷,首先通過對(duì)影響云服務(wù)中每個(gè)組件服務(wù)的時(shí)延因素進(jìn)行特征刻畫與量化評(píng)估,得出每個(gè)組件服務(wù)質(zhì)量,之后分析組件服務(wù)的調(diào)用關(guān)系和調(diào)用頻率并根據(jù)PageRank算法計(jì)算出每個(gè)組件服務(wù)的重要性,最后綜合組件服務(wù)質(zhì)量和重要性得出云服務(wù)的瓶頸組件服務(wù)和最優(yōu)組件服務(wù)；對(duì)于副本增刪,首先判斷需要副本增量部署還是副本刪除,副本部署需要分析各組件的資源需求量和虛擬機(jī)SLA違背率,之后綜合這兩方面來確定適合部署副本的目標(biāo)虛擬機(jī),副本刪除則需要分析部署了最優(yōu)組件服務(wù)及副本的各虛擬機(jī)的資源使用情況。最后通過仿真實(shí)驗(yàn)驗(yàn)證了本文提出的基于組件服務(wù)質(zhì)量和重要性的瓶頸診斷方法的準(zhǔn)確性以及面向云服務(wù)性能保障的組件服務(wù)副本增刪方法的有效性。此外,這種性能保障方法是以較少資源提供更優(yōu)服務(wù)的初步研究,因此,本文研究的基于副本增刪的云服務(wù)性能保障方法對(duì)后續(xù)的研究具有重要的參考意義。
[Abstract]:With the development of cloud computing and the increase of service demand, a business process-oriented cloud service system, that is, the component-based software system, has emerged in the cloud environment. Cloud services in the system provide services in the form of business flows, and each task in the business flow is bound to the corresponding cloud components, which work together to complete the whole service. Each component service can have one or more copies and be deployed in the cloud environment resource pool. The cloud service is a service business process, which has the characteristics of concurrent request change of component service, difference of importance of component service, number of replica of component service, etc. These characteristics have a certain impact on the performance of cloud services and may lead to performance bottlenecks, low utilization of virtual machines, insufficient number of replicas of component services, and so on. Therefore, the establishment of an effective service performance guarantee mechanism for cloud services based on multiple replicas has gradually become a research hotspot. On the basis of the previous service performance assurance methods, this paper uses the incremental deployment method of service-oriented QoS in service composition as reference, analyzes its shortcomings, and proposes a cloud service performance guarantee method based on component service replica addition and deletion. The whole performance assurance method mainly studies two key points, namely, the bottleneck diagnosis method of cloud service based on component quality of service and its importance, and the method of adding and deleting component service replica oriented to cloud service performance assurance. For bottleneck diagnosis, first of all, by characterizing and quantifying the delay factors that affect each component service in cloud service, the quality of service of each component is obtained. Then it analyzes the calling relation and frequency of component service and calculates the importance of each component service according to PageRank algorithm. Finally, the bottleneck component service and optimal component service of cloud service are obtained by synthesizing the quality and importance of component service. For replica additions and deletions, the first step is to determine whether the replica incremental deployment or the replica deletion is required. The replica deployment needs to analyze the resource requirements of each component and the virtual machine SLA violation rate, and then synthesizes these two aspects to determine the target virtual machine that is suitable for deploying the replica. Copy deletion requires an analysis of the resource usage of the virtual machines that deploy the optimal component service and replica. Finally, the accuracy of the proposed bottleneck diagnosis method based on the quality of service and importance of components is verified by simulation experiments, and the effectiveness of the component service replica adding and deleting method based on cloud service performance guarantee is also verified. In addition, this performance guarantee method is a preliminary study of providing better service with less resources. Therefore, the cloud service performance guarantee method based on replica addition and deletion is of great significance for future research.
【學(xué)位授予單位】：東北大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP393.09

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