軟件定義存儲模型的研究及實現(xiàn)
本文選題:軟件定義存儲 + 分布式文件系統(tǒng) ; 參考:《華北電力大學(xué)(北京)》2017年碩士論文
【摘要】:伴隨著云計算技術(shù)的廣泛應(yīng)用,互聯(lián)網(wǎng)及物聯(lián)網(wǎng)技術(shù)的不斷快速發(fā)展,大數(shù)據(jù)時代信息數(shù)據(jù)量出現(xiàn)了爆發(fā)性增長的態(tài)勢,傳統(tǒng)架構(gòu)下的存儲系統(tǒng)已經(jīng)難以滿足不同行業(yè)的信息系統(tǒng)在兼容性、統(tǒng)一管理、擴(kuò)展性、安全性、差異化服務(wù)等方面的需求。在云計算應(yīng)用場景下,海量的數(shù)據(jù)被集中存儲在一起,隨著數(shù)據(jù)量的飛速遞增以及存儲規(guī)模的不斷擴(kuò)大,數(shù)據(jù)讀寫性能瓶頸變得十分嚴(yán)重,因此對存儲系統(tǒng)的I/O性能、總體容量、可擴(kuò)展性和可管理性等方面提出更高的要求。因為存儲廠商在各自存儲設(shè)備的實現(xiàn)方式上長期存在技術(shù)差異和嚴(yán)重的技術(shù)壁壘,傳統(tǒng)架構(gòu)存儲系統(tǒng)大多是單一、封閉、集成的系統(tǒng),只支持特定軟件和硬件的組合,存儲系統(tǒng)缺乏靈活性,無法充分利用不斷涌現(xiàn)的新硬件產(chǎn)品的能力和新平臺,并且只能進(jìn)行有限度的擴(kuò)展,無法滿足用戶快速增長的數(shù)據(jù)存儲的需要。同時,不同存儲系統(tǒng)之間只能實現(xiàn)非常有限的統(tǒng)一監(jiān)控,而無法形成完整統(tǒng)一、有效調(diào)度、全局管理的存儲資源池。當(dāng)今許多企業(yè)的數(shù)據(jù)中心都在經(jīng)歷從傳統(tǒng)數(shù)據(jù)中心到云架構(gòu)的轉(zhuǎn)型,在轉(zhuǎn)型過程中,存儲架構(gòu)成了關(guān)鍵的環(huán)節(jié)。軟件定義存儲從提出以來,就被廣泛認(rèn)為是下一代存儲技術(shù)發(fā)展方向,軟件定義存儲是將硬件驅(qū)動從存儲技術(shù)中剝離出來,通過軟件定義反向驅(qū)動硬件,將與存儲相關(guān)的控制工作都放置在相對于物理存儲硬件的外部軟件中,可以提供包括存儲虛擬化,存儲資源動態(tài)管理等功能。用戶可以利用軟件定義技術(shù),來打破廠商之間的限制壁壘,消除專用平臺限制,建設(shè)可靈活擴(kuò)展低成本的面向云計算的存儲系統(tǒng)。本文軟件定義存儲的模型研究旨在利用新的軟件定義存儲技術(shù)設(shè)計一套適用于電力系統(tǒng)的軟件定義存儲模型,通過軟件定義的方式實現(xiàn)存儲系統(tǒng)軟硬件的解耦,使其具備靈活的配置策略、多元化的存儲供給能力以及存儲資源的高效管理。
[Abstract]:With the wide application of cloud computing technology and the rapid development of Internet of things and Internet of things, the amount of information data in the era of big data has increased dramatically. The traditional storage system has been difficult to meet the needs of different industries in terms of compatibility, unified management, scalability, security, differentiated services and so on. In the cloud computing application scenario, the massive data is stored together. With the rapid increase of the amount of data and the expansion of the storage scale, the bottleneck of data read and write performance becomes very serious, so the I / O performance of the storage system becomes very serious. Overall capacity, scalability and manageability are higher requirements. Because storage manufacturers have long had technical differences and serious technical barriers in the implementation of their respective storage devices, most of the traditional architecture storage systems are single, closed and integrated systems, which only support the combination of specific software and hardware. The storage system lacks flexibility, can not make full use of the new hardware products and new platform, and can only be limited expansion, can not meet the rapid growth of user data storage needs. At the same time, different storage systems can only achieve a very limited unified monitoring, but can not form a complete unified, effective scheduling, global management of storage resources pool. Nowadays, many enterprise data centers are undergoing the transition from traditional data centers to cloud architectures. In the process of transformation, storage architecture has become a key link. Since software definition storage was put forward, it has been widely regarded as the development direction of the next generation storage technology. Software definition storage is to separate the hardware driver from the storage technology and to define the reverse drive hardware through software. The control work related to storage is placed in the external software relative to the physical storage hardware, which can provide functions such as storage virtualization, dynamic management of storage resources, and so on. Users can use software definition technology to break down barriers between vendors, eliminate restrictions on dedicated platforms, and build a flexible, low-cost storage system for cloud computing. The purpose of this paper is to design a set of software definition storage model for power system by using new software definition storage technology, and to decouple the software and hardware of storage system by the way of software definition. It has flexible configuration strategy, diversified storage supply capacity and efficient management of storage resources.
【學(xué)位授予單位】:華北電力大學(xué)(北京)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TP333
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