發(fā)布時(shí)間：2018-08-28 11:18

【摘要】：負(fù)載均衡作為云計(jì)算的關(guān)鍵技術(shù)之一[1]，可以把云負(fù)載動(dòng)態(tài)均衡地分配到云系統(tǒng)所有的節(jié)點(diǎn)中。有效地負(fù)載均衡算法在提高用戶滿意度、提高資源利用率和避免虛擬機(jī)頻繁遷移起著重要的作用。 本文對基于云計(jì)算的負(fù)載均衡技術(shù)進(jìn)行了研究，在云資源提供策略、云計(jì)算鏈?zhǔn)截?fù)載模型及監(jiān)控機(jī)制和云任務(wù)調(diào)度等方面提出了相應(yīng)的策略，主要工作包括： 1.分析了虛擬機(jī)部署機(jī)制、引起虛擬機(jī)性能下降因素和云環(huán)境鏈?zhǔn)截?fù)載模型，提出了差異化資源池分配策略，具體包括物理資源池差異搭建策略和虛擬機(jī)資源池差異部署策略。仿真實(shí)驗(yàn)結(jié)果表明，與現(xiàn)有的資源池搭配策略相比，該策略能夠充分利用云資源、提高資源利用率。 2.基于現(xiàn)有的云計(jì)算環(huán)境中的負(fù)載均衡技術(shù)，，量化了云環(huán)境中多種資源的使用情況，以細(xì)資源粒度方式定義了云計(jì)算中不同的負(fù)載均衡類型，提出了一種可反饋的負(fù)載均衡策略及雙監(jiān)控器策略。通過仿真實(shí)驗(yàn)證明其能有效的監(jiān)控資源使用情況，使云系統(tǒng)維持相對負(fù)載均衡狀態(tài)。 3.對比分析了現(xiàn)有的任務(wù)調(diào)度策略，說明了任務(wù)類型分類方法和任務(wù)資源需求量計(jì)算方法，提出了基于負(fù)載均衡的任務(wù)調(diào)度算法，并從響應(yīng)時(shí)間的角度對該算法進(jìn)行了改進(jìn)。與現(xiàn)有的基于負(fù)載均衡的任務(wù)調(diào)度算法對比，實(shí)驗(yàn)仿真證明了該算法在系統(tǒng)的整體負(fù)載均衡方面和響應(yīng)時(shí)間方面具有一定優(yōu)勢。
[Abstract]:As one of the key technologies of cloud computing, load balancing can be dynamically distributed to all nodes in cloud system. Effective load balancing algorithm plays an important role in improving user satisfaction, improving resource utilization and avoiding frequent migration of virtual machines. In this paper, the load balancing technology based on cloud computing is studied, and the corresponding strategies are put forward in the aspects of cloud resource supply strategy, cloud computing chain load model, monitoring mechanism and cloud task scheduling. The main work includes: 1. This paper analyzes the mechanism of virtual machine deployment, causes the degradation of virtual machine performance and the chain load model of cloud environment, and puts forward a strategy for allocation of differentiated resource pool, including physical resource pool differential construction strategy and virtual machine resource pool differential deployment strategy. The simulation results show that compared with the existing resource pool collocation strategy, this strategy can make full use of cloud resources and improve resource utilization. 2. Based on the existing load balancing technology in cloud computing environment, this paper quantifies the use of various resources in cloud environment, and defines different load balancing types in cloud computing in a fine-resource granularity manner. A feedback load balancing strategy and a dual monitor strategy are proposed. The simulation results show that it can effectively monitor the use of resources and make the cloud system maintain relative load balance. This paper compares and analyzes the existing task scheduling strategies, explains the task classification method and the task resource requirement calculation method, proposes a task scheduling algorithm based on load balancing, and improves the algorithm from the point of view of response time. Compared with the existing task scheduling algorithms based on load balancing, the simulation results show that the algorithm has some advantages in the overall load balancing and response time of the system.
【學(xué)位授予單位】：南京郵電大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP393.09

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 劉之家;;一種基于云計(jì)算的負(fù)載均衡技術(shù)的研究[J];廣西師范學(xué)院學(xué)報(bào)(自然科學(xué)版);2011年02期

2 李陶深;張希翔;;云計(jì)算下區(qū)分服務(wù)的演化博弈調(diào)度算法[J];北京郵電大學(xué)學(xué)報(bào);2013年01期

3 程朝輝,李偉,涂亞明;軟件靜態(tài)度量和預(yù)測模型研究[J];計(jì)算機(jī)工程與應(yīng)用;2005年24期

4 李建鋒;彭艦;;云計(jì)算環(huán)境下基于改進(jìn)遺傳算法的任務(wù)調(diào)度算法[J];計(jì)算機(jī)應(yīng)用;2011年01期

5 張建勛;古志民;鄭超;;云計(jì)算研究進(jìn)展綜述[J];計(jì)算機(jī)應(yīng)用研究;2010年02期

6 鄭洪源;周良;吳家祺;;WEB服務(wù)器集群系統(tǒng)中負(fù)載平衡的設(shè)計(jì)與實(shí)現(xiàn)[J];南京航空航天大學(xué)學(xué)報(bào);2006年03期

7 陳廷偉;周山杰;秦明達(dá);;面向云計(jì)算的任務(wù)分類方法[J];計(jì)算機(jī)應(yīng)用;2012年10期

8 左利云;曹志波;;云計(jì)算中調(diào)度問題研究綜述[J];計(jì)算機(jī)應(yīng)用研究;2012年11期

9 杜W

本文編號：2209238