【摘要】：為了滿足呈爆炸式增長的信息存儲、處理、傳輸?shù)男枨螅笠?guī)模數(shù)據(jù)中心應(yīng)運(yùn)而生。在大規(guī)模數(shù)據(jù)中心里，根據(jù)經(jīng)典的80/20原理，將數(shù)據(jù)都存儲在高性能設(shè)備上是不經(jīng)濟(jì)的，為了實現(xiàn)資源的優(yōu)化配置，于是就有了分級存儲概念。研究表明數(shù)據(jù)中心的服務(wù)器很少處于滿負(fù)荷狀態(tài)，由于服務(wù)器消耗的能量與服務(wù)器的利用率并不成比例，空轉(zhuǎn)的服務(wù)器（空閑的CPU、空轉(zhuǎn)的硬盤等）浪費(fèi)了大量的能量。設(shè)計一種低能耗存儲系統(tǒng)就十分必要。 通過對現(xiàn)有的x86服務(wù)器在性能、能耗方面進(jìn)行分析，設(shè)計了一種低能耗存儲系統(tǒng)——基于嵌入式平臺的分級存儲系統(tǒng)。首先，介紹了低能耗存儲系統(tǒng)的應(yīng)用場景，討論了在系統(tǒng)實現(xiàn)中涉及到的關(guān)鍵技術(shù)，分析了在實現(xiàn)基于數(shù)據(jù)訪問熱度和存儲資源性能的在線數(shù)據(jù)遷移機(jī)制時可能引發(fā)的相關(guān)問題。其次，對原型系統(tǒng)進(jìn)行設(shè)計和實現(xiàn)，構(gòu)建了由應(yīng)用服務(wù)器、存儲服務(wù)器和管理服務(wù)器三個部分組成的系統(tǒng)。系統(tǒng)包含系統(tǒng)監(jiān)控、存儲管理、數(shù)據(jù)管理、智能管理和用戶界面五個模塊，系統(tǒng)監(jiān)控模塊主要收集用戶數(shù)據(jù)訪問熱度信息和存儲服務(wù)器的負(fù)載信息；智能管理模塊根據(jù)這些信息調(diào)度數(shù)據(jù)進(jìn)行遷移，并對服務(wù)器有選擇地進(jìn)行開啟和關(guān)機(jī)，在實現(xiàn)基于用戶訪問頻度的分級存儲機(jī)制的同時，達(dá)到節(jié)能降耗的目的。 最后通過實驗驗證了該系統(tǒng)的功能，對系統(tǒng)性能進(jìn)行了評測，分析了通過數(shù)據(jù)遷移對系統(tǒng)進(jìn)行調(diào)度系統(tǒng)能耗的變化。測試結(jié)果表明，，它能夠依據(jù)數(shù)據(jù)的實時熱度和服務(wù)器的負(fù)載，對數(shù)據(jù)進(jìn)行自適應(yīng)遷移；再通過對服務(wù)器啟停進(jìn)行動態(tài)調(diào)度，可以在實現(xiàn)優(yōu)化資源配置的同時，將系統(tǒng)能耗降低25%。
[Abstract]:In order to meet the demand of explosive information storage, processing and transmission, large-scale data center emerged as the times require. In large scale data centers, it is not economical to store data on high performance devices according to the classical 80 / 20 principle. In order to optimize the allocation of resources, there is the concept of hierarchical storage. The research shows that the server in the data center is rarely in the full load state. Because the energy consumed by the server is not proportional to the utilization rate of the server, the idle server (idle CPU, idling hard disk, etc.) wastes a lot of energy. It is necessary to design a low energy storage system. By analyzing the performance and energy consumption of the existing x86 server, a low energy storage system-hierarchical storage system based on embedded platform is designed. Firstly, the application scenario of low energy consumption storage system is introduced, and the key technologies involved in the system implementation are discussed. This paper analyzes the related problems in the implementation of online data migration mechanism based on data access heat and storage resource performance. Secondly, the prototype system is designed and implemented, and the system is composed of application server, storage server and management server. The system consists of five modules: system monitoring, storage management, data management, intelligent management and user interface. The system monitoring module mainly collects user data access heat information and storage server load information. The intelligent management module migrates according to these information scheduling data and selectively opens and shuts down the server so as to realize the hierarchical storage mechanism based on user access frequency and achieve the purpose of saving energy and reducing consumption. Finally, the function of the system is verified by experiments, the performance of the system is evaluated, and the energy consumption of the scheduling system is analyzed through data migration. The test results show that it can transfer the data adaptively according to the real-time heat of the data and the load of the server. Through dynamic scheduling of the server, the system energy consumption can be reduced by 25% while optimizing the allocation of resources.
【學(xué)位授予單位】：華中科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2012
【分類號】：TP333

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