發(fā)布時(shí)間：2019-02-28 09:50

【摘要】：云計(jì)算是一種新興商業(yè)計(jì)算模型，商業(yè)化的特性使其不斷關(guān)注用戶日益多樣化的需求，目標(biāo)旨在按需靈活合理分配資源，提升數(shù)據(jù)中心資源利用率。成熟虛擬化技術(shù)的運(yùn)用使得資源分配與調(diào)度呈現(xiàn)與以往并行分布式計(jì)算不同的特性，因而對(duì)云計(jì)算中資源分配與調(diào)度的研究可以推動(dòng)云計(jì)算進(jìn)一步發(fā)展。 本文利用經(jīng)濟(jì)學(xué)中市場機(jī)制具有調(diào)動(dòng)個(gè)體積極性，激勵(lì)資源共享，實(shí)現(xiàn)合理資源配置的特點(diǎn)，將連續(xù)雙向拍賣應(yīng)用于商業(yè)化特性的云計(jì)算環(huán)境中，設(shè)計(jì)了基于連續(xù)雙向拍賣的云計(jì)算資源分配策略算法。該算法考慮不同云用戶對(duì)資源具有多樣化的需求，分別為云用戶、資源提供者設(shè)置公平透明的定價(jià)策略：云用戶代理在每個(gè)時(shí)間單位內(nèi)基于剩余可用資源數(shù)與平均剩余時(shí)間獨(dú)立決定競價(jià)值，資源提供者根據(jù)自身工作負(fù)載提出要價(jià)請(qǐng)求。云用戶與資源提供者分別提交競價(jià)和要價(jià)給拍賣商，拍賣商管理當(dāng)前的競價(jià)列表與要價(jià)列表，匹配最終交易。文中同時(shí)考慮少數(shù)對(duì)云任務(wù)截止時(shí)間緊迫程度特別高的特殊需求用戶，允許這類用戶依據(jù)實(shí)際情況選擇預(yù)定適合的資源提供者并協(xié)商付費(fèi)價(jià)格。最后采用服務(wù)等級(jí)協(xié)議（SLA，Service LevelAgreement）正式確立云用戶與云服務(wù)提供者之間的服務(wù)合約，，指定云用戶實(shí)現(xiàn)不同QoS方面的服務(wù)水平，探討QoS請(qǐng)求的實(shí)現(xiàn)情況。 在介紹分析云計(jì)算仿真工具CloudSim的體系結(jié)構(gòu)、技術(shù)實(shí)現(xiàn)與具體使用方法后，擴(kuò)展重編譯CloudSim平臺(tái)，對(duì)本文策略算法進(jìn)行仿真實(shí)驗(yàn)與性能分析，通過和其他相關(guān)調(diào)度算法進(jìn)行比較，表明本文提出的S-CDA算法在一定程度上較好地適應(yīng)用戶對(duì)服務(wù)質(zhì)量的不同需求，適合開放復(fù)雜的云計(jì)算環(huán)境。
[Abstract]:Cloud computing is a new business computing model. The commercial characteristics of cloud computing make it pay more and more attention to the increasingly diverse needs of users. The goal is to allocate resources flexibly and reasonably according to demand and to improve the utilization of data center resources. The application of mature virtualization technology makes the resource allocation and scheduling different from the previous parallel distributed computing. Therefore, the research on resource allocation and scheduling in cloud computing can promote the further development of cloud computing. In this paper, the market mechanism in economics has the characteristics of mobilizing individual enthusiasm, encouraging resource sharing, realizing reasonable resource allocation, and applying continuous two-way auction to the cloud computing environment with commercial characteristics. A cloud computing resource allocation strategy algorithm based on continuous two-way auction is designed. The algorithm takes into account the diverse needs of different cloud users for resources, which are cloud users, respectively. The resource provider sets a fair and transparent pricing strategy: the cloud user agent determines the competing value independently on the basis of the number of remaining resources and the average remaining time within each unit of time, and the resource provider makes a request for price according to its workload. Cloud users and resource providers submit bids and asking prices to auctioneers, who manage the current bidding list and asking list to match the final deal. At the same time, we consider a small number of users with special needs that have a very high deadline for cloud tasks, and allow these users to choose the right resource providers according to the actual situation and negotiate the price of payment. Finally, service level agreement (SLA,Service LevelAgreement) is adopted to formally establish the service contract between cloud users and cloud service providers. Cloud users are designated to implement different QoS service levels, and the implementation of QoS requests is discussed. After introducing the architecture, implementation and application of cloud computing simulation tool CloudSim, this paper extends the recompile CloudSim platform, carries on the simulation experiment and performance analysis to the strategy algorithm in this paper, and compares it with other related scheduling algorithms. It is shown that the proposed S-CDA algorithm is suitable for the open and complex cloud computing environment to a certain extent, which can adapt to the different demands of the users for the quality of service to a certain extent.
【學(xué)位授予單位】：華東交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2012
【分類號(hào)】：TP3

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