【摘要】：近年來隨著Web服務(wù)技術(shù)的快速發(fā)展和云計(jì)算的逐漸普及,越來越多的大型IT公司都在為中小企業(yè)和個(gè)人開發(fā)者提供云服務(wù)。隨著云服務(wù)的普及和應(yīng)用,服務(wù)選擇和組合方法成為重要的研究熱點(diǎn)。同時(shí),由于大量網(wǎng)絡(luò)服務(wù)部署在云數(shù)據(jù)中心上,服務(wù)的選擇不可避免地將受數(shù)據(jù)中心底層性能的影響,進(jìn)而影響服務(wù)組合性能。然而,在傳統(tǒng)云計(jì)算Web服務(wù)組合技術(shù)中,大多數(shù)現(xiàn)有的服務(wù)組合方案,只在用戶角度專注于尋找聚合QoS值的最優(yōu)值(如響應(yīng)時(shí)間,吞吐量等)的具體的服務(wù),但未考慮服務(wù)組合的成本和依賴于云數(shù)據(jù)中心拓?fù)浣Y(jié)構(gòu)和底層參數(shù)的能耗和網(wǎng)絡(luò)資源消耗。對(duì)于云計(jì)算基礎(chǔ)設(shè)施服務(wù)提供商來說,能耗和網(wǎng)絡(luò)資源消耗直接關(guān)系到運(yùn)營成本,通過降低資源消耗可以提高云計(jì)算基礎(chǔ)設(shè)施服務(wù)提供商的經(jīng)濟(jì)效益,同時(shí)也與國家的節(jié)能減排政策相吻合。本文對(duì)服務(wù)組合目標(biāo)中的QoS效用、電力消耗和網(wǎng)絡(luò)資源消耗之間的權(quán)衡進(jìn)行了研究并進(jìn)一步提出了云環(huán)境下的綠色服務(wù)組合方法,該方法引入了電力消耗模型和網(wǎng)絡(luò)資源消耗模型,旨在最大化QoS效用的同時(shí)降低云數(shù)據(jù)中心的電力消耗和網(wǎng)絡(luò)資源消耗。為了對(duì)該方法進(jìn)行評(píng)估,本文對(duì)開源云計(jì)算仿真引擎CloudSim進(jìn)行擴(kuò)展并對(duì)該方法和傳統(tǒng)服務(wù)組合方法進(jìn)行對(duì)比仿真,然后對(duì)仿真結(jié)果進(jìn)行了參數(shù)分析和結(jié)果討論,驗(yàn)證了該方法對(duì)于云數(shù)據(jù)中心能耗和網(wǎng)絡(luò)資源消耗控制的有效性。論文最后總結(jié)了相關(guān)工作,并提出了下一步的研究方向。
[Abstract]:In recent years, with the rapid development of Web services technology and the gradual popularization of cloud computing, more and more large-scale IT companies are providing cloud services for small and medium-sized enterprises and individual developers. With the popularity and application of cloud services, service selection and composition methods have become an important research focus. At the same time, because a large number of network services are deployed in the cloud data center, the choice of services will inevitably be affected by the underlying performance of the data center, and then the performance of the service composition will be affected. However, in traditional cloud computing Web service composition technologies, most existing service composition schemes focus only on finding specific services with the best aggregate QoS values (such as response time, throughput, etc.) from the user's point of view. However, the cost of the service portfolio and the energy consumption and network resource consumption that depend on the cloud data center topology and underlying parameters are not considered. For cloud computing infrastructure service providers, energy consumption and network resource consumption are directly related to operational costs, and reduce resource consumption can increase the economic benefits of cloud infrastructure service providers. At the same time, it is also consistent with the national energy saving and emission reduction policies. In this paper, we study the tradeoff between QoS utility, power consumption and network resource consumption in service composition goals, and propose a green service composition method in cloud environment. This method introduces the power consumption model and the network resource consumption model to maximize the utility of QoS while reducing the power consumption and network resource consumption of cloud data centers. In order to evaluate this method, the open source cloud computing simulation engine CloudSim is extended and compared with the traditional service composition method. Then the simulation results are analyzed and discussed. The effectiveness of the proposed method in the control of energy consumption and network resource consumption in cloud data centers is verified. Finally, the related work is summarized, and the future research direction is put forward.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP393.09

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