本文選題：云計(jì)算　切入點(diǎn)：熱點(diǎn)　出處：《浙江大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：云計(jì)算以便捷的按需服務(wù)的資源使用方式受到了各界的關(guān)注。云計(jì)算集群通過虛擬化技術(shù)將其上的資源提供給各個(gè)應(yīng)用。但是云集群規(guī)模的增加以及應(yīng)用的多樣性都給云計(jì)算的資源管理帶來了挑戰(zhàn)。云計(jì)算的一個(gè)最主要的目標(biāo)就是為用戶提供穩(wěn)定的物理資源支持。而云集群中的服務(wù)器資源熱點(diǎn)的問題嚴(yán)重阻礙了這一目標(biāo)。資源熱點(diǎn)問題指的是服務(wù)器上的某些資源的使用量超過限制,進(jìn)而干擾了其上的虛擬機(jī)正常運(yùn)行的問題。為了保證應(yīng)用的穩(wěn)定運(yùn)行,云計(jì)算平臺(tái)必須能夠及時(shí)發(fā)現(xiàn)集群中的熱點(diǎn)服務(wù)器,并設(shè)法讓其回到正常狀態(tài)。因此,本文針對該問題展開了研究,主要研究發(fā)現(xiàn)熱點(diǎn)的方案和解決熱點(diǎn)的方案。本文的主要工作如下:1.本文設(shè)計(jì)并實(shí)現(xiàn)了一個(gè)云平臺(tái)監(jiān)控系統(tǒng)。該系統(tǒng)能夠收集服務(wù)器和虛擬機(jī)的資源使用情況,并在發(fā)生資源熱點(diǎn)時(shí)通知用戶。2.基于最小化遷移時(shí)間的考慮,本文提出了 MCMS(Min-Cost-Min-Server)算法來計(jì)算最佳的虛擬機(jī)遷移方案。該算法通過遷移熱點(diǎn)服務(wù)器上的虛擬機(jī)來解決熱點(diǎn)問題。同時(shí),在完成熱點(diǎn)消除后,該算法嘗試遷移資源使用量較少的物理機(jī)上的所有虛擬機(jī)來減少集群的服務(wù)器數(shù)量,減少能耗。3.本文設(shè)計(jì)并實(shí)現(xiàn)了熱點(diǎn)消除系統(tǒng)。通過結(jié)合監(jiān)控系統(tǒng)和MCMS算法,該系統(tǒng)實(shí)現(xiàn)自動(dòng)發(fā)現(xiàn)熱點(diǎn)并消除服務(wù)器熱點(diǎn)問題。4.本文通過搭建真實(shí)環(huán)境驗(yàn)證了熱點(diǎn)消除系統(tǒng)的可行性。同時(shí),本文還通過仿真實(shí)驗(yàn)測試MCMS算法的性能。與其他兩種常規(guī)算法對比,MCMS算法能夠以最少的遷移時(shí)間解決服務(wù)器熱點(diǎn)問題。并且,MCMS算法能夠以更少的遷移時(shí)間來解決服務(wù)器熱點(diǎn)問題。并且,MCMS算法能夠使云集群中的服務(wù)器數(shù)量明顯的減少。
[Abstract]:Cloud computing has attracted much attention from all walks of life because of its convenient on demand resource usage. Cloud computing cluster provides its resources to various applications through virtualization technology. But the increase of cloud cluster size and the diversity of applications. Sex brings challenges to the resource management of cloud computing. One of the main goals of cloud computing is to provide users with stable physical resource support. However, the problem of server resource hot spots in the cluster seriously hinders this goal. Resource hotspots refer to the use of certain resources on the server in excess of the limit, In order to ensure the stable operation of the application, the cloud computing platform must be able to discover the hot servers in the cluster in time and try to get them back to normal state. In this paper, the problem is studied. The main work of this paper is as follows: 1. This paper designs and implements a cloud platform monitoring system. This system can collect the resources of server and virtual machine. And notify user. 2 when resource hotspots occur. Based on the consideration of minimizing migration time, In this paper, we propose the MCMS Min-Cost-Min-Server algorithm to calculate the best migration scheme of virtual machine. This algorithm solves the hot spot problem by migrating the virtual machine on the hot spot server. At the same time, after the hot spot is eliminated, The algorithm attempts to migrate all virtual machines on physical machines with less resource usage to reduce the number of servers in the cluster and reduce energy consumption. 3. This paper designs and implements a hot spot elimination system. This system can automatically discover hot spots and eliminate server hot spots. 4. This paper verifies the feasibility of hot spot elimination system by setting up real environment. At the same time, The performance of the MCMS algorithm is tested by simulation experiments. Compared with the other two conventional algorithms, the MCMS algorithm can solve the hot spot problem of the server with the least migration time, and the algorithm can solve the problem with less migration time. And the MCMS algorithm can significantly reduce the number of servers in the cluster.
【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP302;TP368.5

【參考文獻(xiàn)】

相關(guān)期刊論文 前3條

1 王得發(fā);王麗芳;蔣澤軍;;云計(jì)算環(huán)境中虛擬機(jī)智能遷移關(guān)鍵技術(shù)研究[J];計(jì)算機(jī)測量與控制;2012年05期

2 李強(qiáng);郝沁汾;肖利民;李舟軍;;云計(jì)算中虛擬機(jī)放置的自適應(yīng)管理與多目標(biāo)優(yōu)化[J];計(jì)算機(jī)學(xué)報(bào);2011年12期

3 劉鵬程;陳榕;;面向云計(jì)算的虛擬機(jī)動(dòng)態(tài)遷移框架[J];計(jì)算機(jī)工程;2010年05期

，

本文編號：1560767