【摘要】：隨著云存儲(chǔ)在數(shù)據(jù)存儲(chǔ)方面重要性不斷提升,云存儲(chǔ)任務(wù)調(diào)度策略已經(jīng)成為云存儲(chǔ)中一個(gè)很重要的方面。云存儲(chǔ)任務(wù)調(diào)度策略主要研究云存儲(chǔ)任務(wù)分發(fā)、完成的過(guò)程,隨著科技的發(fā)展,云存儲(chǔ)任務(wù)調(diào)度策略已經(jīng)成為云存儲(chǔ)中一個(gè)關(guān)鍵部分。云存儲(chǔ)任務(wù)調(diào)度策略主要解決的問(wèn)題是云存儲(chǔ)系統(tǒng)怎樣選擇更優(yōu)任務(wù)調(diào)度策略來(lái)完成用戶提交的任務(wù)。本文通過(guò)對(duì)3個(gè)主要的分布式文件系統(tǒng)架構(gòu)GFS、HDFS、Dynamo及其任務(wù)調(diào)度策略研究,總結(jié)出9個(gè)云存儲(chǔ)任務(wù)調(diào)度策略的主要影響因素,副本覆蓋范圍指標(biāo)、維護(hù)副本一致性代價(jià)、副本的可用性、虛擬節(jié)點(diǎn)負(fù)載、虛擬節(jié)點(diǎn)開銷、網(wǎng)絡(luò)傳輸可靠性、數(shù)據(jù)副本一致性、可用網(wǎng)絡(luò)帶寬、網(wǎng)絡(luò)傳輸延遲。根據(jù)對(duì)于9個(gè)主要影響因素不同的重視程度將用戶群劃分為4種,分別為個(gè)人用戶、成長(zhǎng)型企業(yè)用戶、一般規(guī)模企業(yè)用戶、金融類企業(yè)用戶。本文從4種用戶的角度出發(fā),通過(guò)與AHP層次分析結(jié)合確定云存儲(chǔ)任務(wù)調(diào)度策略中9個(gè)因素對(duì)于這4種用戶各自的權(quán)值。在此基礎(chǔ)上提出了基于用戶角度的云存儲(chǔ)任務(wù)調(diào)度策略。最后,本文將分布式系統(tǒng)的模擬軟件optorsim模塊進(jìn)行擴(kuò)展后,對(duì)于所提出的策略進(jìn)行模擬,綜合模擬出的數(shù)據(jù)得出結(jié)論：1)金融類企業(yè)用戶考慮的因素較多,因此在整個(gè)決策中占權(quán)值較多。2)成長(zhǎng)型企業(yè)用戶和一般規(guī)模企業(yè)用戶在決策中所占權(quán)值相當(dāng)。3)個(gè)人用戶考慮因素較少,因此在整個(gè)決策中占權(quán)值較少。4)在基于4種用戶角度的基礎(chǔ)上,結(jié)合云存儲(chǔ)任務(wù)調(diào)度策略影響因素進(jìn)行模擬,得出各個(gè)節(jié)點(diǎn)適合的用戶。
[Abstract]:With the increasing importance of cloud storage in data storage, cloud storage task scheduling strategy has become a very important aspect of cloud storage. The task scheduling strategy of cloud storage mainly studies the process of task distribution and completion of cloud storage. With the development of science and technology, the task scheduling strategy of cloud storage has become a key part of cloud storage. The main problem of cloud storage task scheduling strategy is how to select a better task scheduling strategy to complete the tasks submitted by users. Based on the research of three main distributed file system architecture (GFS,HDFS,Dynamo) and its task scheduling strategy, this paper summarizes nine main influencing factors of cloud storage task scheduling policy, replica coverage index, cost of maintaining replica consistency. Replica availability, virtual node load, virtual node overhead, network transmission reliability, data replica consistency, available network bandwidth, network transmission latency. According to the different degree of attention to the nine main influencing factors, the user group is divided into four types: individual user, growth enterprise user, general scale enterprise user and financial enterprise user. From the point of view of four users, this paper determines the respective weights of 9 factors in the cloud storage task scheduling policy by combining with the AHP hierarchy analysis. On this basis, a cloud storage task scheduling strategy based on user's perspective is proposed. Finally, after extending the simulation software optorsim module of the distributed system, this paper simulates the proposed strategy, synthesizes the data obtained from the simulation and draws a conclusion: 1) the financial enterprise users consider many factors. Therefore, in the whole decision making, the weight value is much higher. 2) the growth enterprise user and the general scale enterprise user share the same weight value in the decision making. 3) the individual user considers the factor less. Therefore in the whole decision-making less weight. 4) on the basis of four user perspectives combined with cloud storage task scheduling policy factors to simulate and get the appropriate users for each node.
【學(xué)位授予單位】：西安工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：TP333

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本文編號(hào)：2424627