發(fā)布時(shí)間：2018-08-15 12:49

【摘要】：云計(jì)算是一種流行的基于互聯(lián)網(wǎng)的計(jì)算方式。它計(jì)算互聯(lián)網(wǎng)上的硬件資源以及軟件資源，并將這兩種資源虛擬化成服務(wù)交付給個(gè)人用戶和企業(yè)。而云計(jì)算系統(tǒng)就是建立在此基礎(chǔ)上，它由連接在互聯(lián)網(wǎng)各種各樣的個(gè)人計(jì)算機(jī)、服務(wù)器、磁盤整列等設(shè)備組成，通過(guò)各種虛擬化技術(shù)和分布式技術(shù)為龐大的用戶群體提供各種計(jì)算服務(wù)和存儲(chǔ)服務(wù)。在云計(jì)算系統(tǒng)中，，存儲(chǔ)子系統(tǒng)是通過(guò)整合網(wǎng)絡(luò)上各種不同的存儲(chǔ)設(shè)備，向用戶提供數(shù)據(jù)存儲(chǔ)和管理服務(wù)的系統(tǒng)。當(dāng)今的云存儲(chǔ)子系統(tǒng)往往擁有龐大的數(shù)據(jù)中心，集中管理用戶數(shù)據(jù)，支撐著數(shù)量巨大的用戶存儲(chǔ)服務(wù)。這樣的基礎(chǔ)架構(gòu)模式帶來(lái)了寬帶瓶頸問題——即當(dāng)用戶訪問量過(guò)大時(shí)，存儲(chǔ)子系統(tǒng)由于對(duì)外的網(wǎng)絡(luò)速度問題，無(wú)法保證數(shù)據(jù)傳輸?shù)乃俣群唾|(zhì)量，影響了存儲(chǔ)服務(wù)的可用性。 本文在閱讀國(guó)內(nèi)外相關(guān)文獻(xiàn)的基礎(chǔ)上，設(shè)計(jì)和實(shí)現(xiàn)了基于OpenStack的IaaS基礎(chǔ)云計(jì)算系統(tǒng)OCloud（OpenStack Based Cloud System），并針對(duì)存儲(chǔ)子系統(tǒng)的寬帶瓶頸問題，設(shè)計(jì)和實(shí)現(xiàn)了基于本地塊設(shè)備的網(wǎng)絡(luò)緩存系統(tǒng)NDM-Cache（Network Device Mapper Cache）。 本文基于開源的OpenStack項(xiàng)目，設(shè)計(jì)和實(shí)現(xiàn)了基礎(chǔ)云計(jì)算系統(tǒng)OCloud。首先，本文針對(duì)OCloud系統(tǒng)中已有的塊級(jí)別存儲(chǔ)模塊存在單點(diǎn)故障的問題，設(shè)計(jì)和實(shí)現(xiàn)了分布式的塊級(jí)別存儲(chǔ)子系統(tǒng)Orthrus。它可以有效地避免單點(diǎn)故障問題。其次，本文為減輕云系統(tǒng)鏡像存儲(chǔ)模塊的空間壓力，采用LiveDFS作為存儲(chǔ)模塊的文件系統(tǒng)，實(shí)現(xiàn)了鏡像重復(fù)數(shù)據(jù)的刪除功能。再次，本文為了能監(jiān)控系統(tǒng)的所有的虛擬機(jī)實(shí)例和物理節(jié)點(diǎn)，部署了Ganglia監(jiān)控系統(tǒng)。最后，本文面向校園內(nèi)師生的科研和學(xué)習(xí)工作，開發(fā)和實(shí)現(xiàn)了個(gè)人網(wǎng)盤服務(wù)，平行計(jì)算服務(wù)以及教學(xué)管理平臺(tái)服務(wù)。全校的師生可以通過(guò)web瀏覽器方便地訪問和使用這些服務(wù)。 針對(duì)云計(jì)算平臺(tái)中共享存儲(chǔ)子系統(tǒng)的寬帶限制問題，本文設(shè)計(jì)和實(shí)現(xiàn)了面向云計(jì)算系統(tǒng)的網(wǎng)絡(luò)緩存系統(tǒng)NDM-Cache。該緩存系統(tǒng)采用本地塊設(shè)備作為緩存設(shè)備。在設(shè)計(jì)該系統(tǒng)時(shí)，本文設(shè)計(jì)了基于本地塊設(shè)備的網(wǎng)絡(luò)緩存系統(tǒng)結(jié)構(gòu)，并提出了面向網(wǎng)絡(luò)緩存系統(tǒng)的數(shù)據(jù)管理方案。并且在此基礎(chǔ)上，針對(duì)內(nèi)存空間有空余的客戶機(jī)，本文又提出了雙層緩存策略，利用多余內(nèi)存空間進(jìn)一步提升系統(tǒng)整體性能。通過(guò)實(shí)驗(yàn)證明，在8臺(tái)客戶端節(jié)點(diǎn)同時(shí)訪問共享存儲(chǔ)設(shè)備時(shí)，相對(duì)于原始共享存儲(chǔ)設(shè)備和DM-Cache系統(tǒng)，基于本地普通磁盤的原型NDM-Cache系統(tǒng)在數(shù)據(jù)讀取性能上分別平均提高了11.31%和2.34%，而基于SSD盤的原型NDM-Cache則分別平均提高了18.42%和2.76%。并且采用了雙層緩存優(yōu)化策略后，基于普通磁盤的原型NDM-Cache系統(tǒng)比單層系統(tǒng)平均提高了4.57%，而基于SSD盤的原型NDM-Cache系統(tǒng)提高了4.61%。
[Abstract]:Cloud computing is a popular Internet-based computing method. It calculates hardware and software resources on the Internet and virtualizes these two resources into services for individual users and businesses. Cloud computing systems are built on this basis, which are connected by a variety of personal computers, servers, and magnets on the Internet. In cloud computing systems, storage subsystems provide data storage and management services to users by integrating various storage devices on the network. Today's cloud storage subsystems This kind of infrastructure mode brings the broadband bottleneck problem, that is, when the user visits too much, the storage subsystem can not guarantee the speed and quality of data transmission because of the external network speed problem. Availability of storage services.
In this paper, we design and implement the OpenStack Based Cloud System (OCloud) based on IaaS, and design and implement the NDM-Cache (Network Device Mapper Cache) based on local block devices to solve the bottleneck problem of the storage subsystem.
Based on the open source OpenStack project, this paper designs and implements the basic cloud computing system OCloud. Firstly, this paper designs and implements the distributed block-level storage subsystem Orthrus, aiming at the problem of single point of failure in the existing block-level storage module in the OCloud system. Thirdly, Ganglia monitoring system is deployed to monitor and control all virtual machine instances and physical nodes of the system. Finally, this paper focuses on the research and learning of teachers and students on campus. As a result, we have developed and implemented personal network disk services, parallel computing services and teaching management platform services. Teachers and students can access and use these services conveniently through web browsers.
In view of the bandwidth limitation of shared storage subsystem in cloud computing platform, this paper designs and implements a network caching system NDM-Cache for cloud computing system. This caching system uses local block devices as caching devices. On this basis, a double-layer cache strategy is proposed for clients with spare memory space to further improve the overall performance of the system. Experiments show that compared with the original shared memory, when eight client nodes access the shared storage device at the same time For storage devices and DM-Cache systems, the NDM-Cache system based on local ordinary disk improves the performance of data reading by 11.31% and 2.34% respectively, while the NDM-Cache system based on SSD disk improves by 18.42% and 2.76% respectively. The layer system increased by 4.57% on average, while the prototype NDM-Cache system based on SSD disk increased 4.61%..
【學(xué)位授予單位】：杭州電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：TP333

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 尹洋;劉振軍;許魯;;一種基于磁盤介質(zhì)的網(wǎng)絡(luò)存儲(chǔ)系統(tǒng)緩存[J];軟件學(xué)報(bào);2009年10期

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