發(fā)布時(shí)間：2018-06-17 13:23

  本文選題：云計(jì)算 + 物理機(jī)監(jiān)控　； 參考：《北京郵電大學(xué)》2014年碩士論文

【摘要】：隨著云計(jì)算的不斷發(fā)展,工業(yè)界對(duì)云計(jì)算的重視程度不斷增加,幾年時(shí)間內(nèi),云計(jì)算已經(jīng)成為了最熱門的技術(shù)之一。云計(jì)算將各種軟硬件結(jié)合起來(lái),構(gòu)成一個(gè)計(jì)算能力強(qiáng)大的平臺(tái),通過(guò)網(wǎng)絡(luò)向用戶提供各種各樣的服務(wù),滿足用戶的需求。在這樣的環(huán)境下,OpenStaCk開源云平臺(tái)出現(xiàn)了。OpenStack可以幫助企業(yè)快速構(gòu)建云平臺(tái),向用戶提供云服務(wù),但是OpenStack自身并不完善,尤其是對(duì)物理機(jī)和虛擬機(jī)的監(jiān)控。目前,OpenStack不支持對(duì)物理機(jī)性能的監(jiān)控,用戶自己設(shè)計(jì)調(diào)度算法時(shí),不能有效獲得物理機(jī)相關(guān)信息,并且對(duì)虛擬機(jī)的監(jiān)控局限于啟動(dòng)、暫停等狀態(tài),不能獲得虛擬機(jī)運(yùn)行狀態(tài),根據(jù)這些參數(shù)進(jìn)行擴(kuò)容�；谏鲜鰡�(wèn)題,本課題對(duì)虛擬機(jī)集群監(jiān)控系統(tǒng)進(jìn)行研究與實(shí)現(xiàn)。 本文在教育部中國(guó)移動(dòng)科研基金2012年度項(xiàng)目“面向互聯(lián)網(wǎng)的業(yè)務(wù)支撐系統(tǒng)關(guān)鍵技術(shù)及方案研究”課題中關(guān)于中國(guó)移動(dòng)私有云資源池系統(tǒng)研究的基礎(chǔ)上,完成了針對(duì)OpenStack云平臺(tái)的虛擬機(jī)集群監(jiān)控系統(tǒng)的設(shè)計(jì)與實(shí)現(xiàn)。系統(tǒng)為OpenStack云平臺(tái)提供監(jiān)控服務(wù),對(duì)物理機(jī)和虛擬機(jī)進(jìn)行監(jiān)控,保證OpenStack各個(gè)服務(wù)的正常運(yùn)行,為用戶提供一個(gè)可靠、穩(wěn)定的云服務(wù)平臺(tái)。 本文首先介紹云計(jì)算及云平臺(tái)的概念、發(fā)展現(xiàn)狀,對(duì)現(xiàn)有的各種各樣的云平臺(tái)進(jìn)行對(duì)比研究。其次對(duì)云平臺(tái)的關(guān)鍵技術(shù)虛擬化技術(shù)進(jìn)行研究,分析了幾種常見(jiàn)的監(jiān)控技術(shù)和Libvirt。然后,結(jié)合實(shí)驗(yàn)室環(huán)境與中國(guó)移動(dòng)私有云資源池系統(tǒng),從結(jié)構(gòu)、業(yè)務(wù)、監(jiān)控功能端三個(gè)方面進(jìn)行需求分析。在此基礎(chǔ)上,提出了一種對(duì)OpenStack云平臺(tái)下物理機(jī)和虛擬機(jī)監(jiān)控的方案。監(jiān)控代理進(jìn)行物理機(jī)和虛擬機(jī)監(jiān)控性能數(shù)據(jù)的采集,將采集的數(shù)據(jù)發(fā)送至監(jiān)控服務(wù)端,監(jiān)控服務(wù)端將數(shù)據(jù)寫入數(shù)據(jù)庫(kù),監(jiān)控功能端提供查詢和報(bào)警等功能。本文從監(jiān)控代理、監(jiān)控服務(wù)端、監(jiān)控功能端這幾個(gè)方面對(duì)監(jiān)控系統(tǒng)進(jìn)行了設(shè)計(jì)和實(shí)現(xiàn)。 本文提出了一種針對(duì)OpenStack云平臺(tái)進(jìn)行監(jiān)控的方案。由于OpenStack云平臺(tái)本身并不具有對(duì)物理機(jī)和虛擬機(jī)進(jìn)行監(jiān)控的能力,本文能夠很好的彌補(bǔ)其不足,同時(shí),本文提出的方案將監(jiān)控性能數(shù)據(jù)存儲(chǔ),然后進(jìn)行定制化的需求開發(fā),對(duì)監(jiān)控系統(tǒng)或者OpenStack云平臺(tái)的功能進(jìn)行擴(kuò)展。
[Abstract]:With the development of cloud computing, industry pay more and more attention to cloud computing. In a few years, cloud computing has become one of the most popular technologies. Cloud computing combines all kinds of software and hardware to form a powerful computing platform. It provides users with various services through the network to meet the needs of users. In such an environment, OpenStaCk open source cloud platform has appeared. OpenStack can help enterprises quickly build cloud platform and provide cloud services to users, but OpenStack itself is not perfect, especially the monitoring of physical machines and virtual machines. At present, OpenStack does not support monitoring the performance of physical machines. When users design scheduling algorithms, they can not effectively obtain relevant information of physical machines, and the monitoring of virtual machines is limited to startup, pause and other states, and can not obtain the running state of virtual machines. The capacity is expanded according to these parameters. Based on the above problems, the virtual machine cluster monitoring system is studied and implemented in this paper. This paper is based on the research of China Mobile Private Cloud Resource Pool system in the project of "key Technologies and schemes of Internet-Oriented Business support system" of the China Mobile Research Foundation of the Ministry of Education in 2012. The virtual machine cluster monitoring system for OpenStack cloud platform is designed and implemented. The system provides monitoring services for OpenStack cloud platform, monitors physical computers and virtual machines, ensures the normal operation of OpenStack services, and provides a reliable and stable cloud service platform for users. This paper first introduces the concept and development of cloud computing and cloud platform, and makes a comparative study of all kinds of cloud platforms. Secondly, the key technology of cloud platform virtualization is studied, and several common monitoring technologies and Libvirtare analyzed. Then, combining the laboratory environment with the private cloud resource pool system of China Mobile, the requirements are analyzed from three aspects: structure, service and monitoring function. On this basis, a scheme to monitor physical machines and virtual machines on OpenStack cloud platform is proposed. The monitor agent collects the performance data of the physical computer and virtual machine, sends the collected data to the monitoring server, writes the data to the database, and provides the functions of query and alarm. This paper designs and implements the monitoring system from the aspects of monitoring agent, monitoring service and monitoring function. This paper presents a scheme for monitoring OpenStack cloud platform. Because OpenStack cloud platform itself does not have the ability to monitor physical machines and virtual machines, this paper can make up for its shortcomings. At the same time, the scheme proposed in this paper will monitor the performance data storage, and then develop the customized requirements. Extend the functionality of the monitoring system or OpenStack cloud platform.
【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】：2014
【分類號(hào)】：TP393.06;TP311.52

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本文編號(hào)：2031204