本文選題：重復(fù)數(shù)據(jù)刪除 + 云存儲(chǔ)��； 參考：《華北電力大學(xué)》2013年碩士論文

【摘要】：隨著智能電網(wǎng)的發(fā)展，電網(wǎng)運(yùn)行時(shí)的實(shí)時(shí)數(shù)據(jù)呈海量化急劇增加，傳統(tǒng)數(shù)據(jù)中心壓力日漸攀升。這就需要利用云存儲(chǔ)技術(shù)和重復(fù)數(shù)據(jù)刪除技術(shù)對(duì)海量的電網(wǎng)數(shù)據(jù)進(jìn)行快速有效地存儲(chǔ)與處理。 云存儲(chǔ)技術(shù)和重復(fù)數(shù)據(jù)刪除技術(shù)是當(dāng)今存儲(chǔ)行業(yè)的兩大研究熱點(diǎn)。云存儲(chǔ)技術(shù)以提供數(shù)據(jù)存儲(chǔ)服務(wù)來解決存儲(chǔ)設(shè)備管理維護(hù)、安全穩(wěn)定和成本問題，實(shí)現(xiàn)存儲(chǔ)設(shè)備向存儲(chǔ)服務(wù)的轉(zhuǎn)變。重復(fù)數(shù)據(jù)刪除技術(shù)旨在消除數(shù)據(jù)大量冗余、縮減存儲(chǔ)空間。兩種技術(shù)的結(jié)合充分發(fā)揮了它們的優(yōu)勢，為智能電網(wǎng)的存儲(chǔ)提供了高效處理能力。既將海量電網(wǎng)數(shù)據(jù)存儲(chǔ)在云端，又能充分利用重復(fù)數(shù)據(jù)刪除技術(shù)和云端的存儲(chǔ)資源對(duì)海量電網(wǎng)數(shù)據(jù)進(jìn)行壓縮存儲(chǔ)。 本文研究了一套電網(wǎng)數(shù)據(jù)的高效存儲(chǔ)和空間最大利用的解決方案。本文改進(jìn)了數(shù)據(jù)塊級(jí)的重復(fù)數(shù)據(jù)刪除策略并驗(yàn)證了其可行性。將重復(fù)數(shù)據(jù)刪除技術(shù)部署在云端，構(gòu)建了基于云存儲(chǔ)的重復(fù)數(shù)據(jù)刪除架構(gòu)。另外，本文設(shè)計(jì)了智能電網(wǎng)云平臺(tái)架構(gòu)，，使其層次結(jié)構(gòu)分別對(duì)應(yīng)于云計(jì)算的結(jié)構(gòu)層次并提供相應(yīng)的服務(wù),解決了在對(duì)海量電網(wǎng)數(shù)據(jù)進(jìn)行相關(guān)操作時(shí)資源分配和動(dòng)態(tài)負(fù)載均衡問題，介紹了在云環(huán)境下電網(wǎng)數(shù)據(jù)經(jīng)過重復(fù)數(shù)據(jù)刪除相關(guān)處理的存儲(chǔ)訪問刪除機(jī)制。 將基于云存儲(chǔ)的重復(fù)數(shù)據(jù)刪除架構(gòu)應(yīng)用于智能電網(wǎng)云平臺(tái)上，使得智能電網(wǎng)中大量相同的數(shù)據(jù)以更加輕便的方式存儲(chǔ)，既可以高效存儲(chǔ)及訪問又結(jié)合了云存儲(chǔ)的特點(diǎn)對(duì)大量增加的索引表進(jìn)行分布式存儲(chǔ)，實(shí)現(xiàn)云的實(shí)際利用價(jià)值。本文的涉及范圍從基于云存儲(chǔ)的重復(fù)數(shù)據(jù)刪除架構(gòu)，到智能電網(wǎng)云平臺(tái)架構(gòu)以及云環(huán)境下資源分配和動(dòng)態(tài)負(fù)載均衡，整個(gè)從數(shù)據(jù)存儲(chǔ)到數(shù)據(jù)查詢，形成了一個(gè)完整的對(duì)智能電網(wǎng)數(shù)據(jù)進(jìn)行空間優(yōu)化操作的體系。
[Abstract]:With the development of smart grid, the real-time data of power grid is increasing rapidly, and the pressure of traditional data center is increasing day by day. It is necessary to use cloud storage technology and repeated data deletion technology to store and process massive power grid data quickly and effectively. Cloud storage technology and repeated data deletion technology are two research hotspots in storage industry. Cloud storage technology to provide data storage services to solve storage device management and maintenance, security and stability and cost issues, to achieve storage devices to storage services. Repetitive data deletion is designed to eliminate large amounts of data redundancy and reduce storage space. The combination of the two technologies gives full play to their advantages and provides efficient processing capacity for smart grid storage. Not only the massive power grid data is stored in the cloud, but also the repeated data deletion technology and the cloud storage resources can be used to compress and store the massive power grid data. In this paper, a set of efficient storage and spatial maximum utilization of grid data is studied. This paper improves the repeated data deletion strategy at block level and verifies its feasibility. The repeated data deletion technology is deployed in the cloud, and a cloud storage based repetitive data deletion architecture is constructed. In addition, this paper designs the cloud platform architecture of smart grid, which makes the hierarchical structure correspond to the cloud computing structure and provide the corresponding services. This paper solves the problem of resource allocation and dynamic load balancing in the operation of massive power grid data, and introduces the storage access deletion mechanism of power grid data through repeated data deletion related processing in cloud environment. The repeated data deletion architecture based on cloud storage is applied to the smart grid cloud platform, so that a large number of the same data in the smart grid can be stored in a more portable way. It not only can store and access efficiently, but also combine the characteristics of cloud storage to store a large number of index tables in a distributed way, and realize the practical value of cloud utilization. The scope of this paper ranges from cloud storage based repetitive data deletion architecture to smart grid cloud platform architecture and resource allocation and dynamic load balancing in cloud environment, from data storage to data query. A complete system for spatial optimization of smart grid data is formed.
【學(xué)位授予單位】：華北電力大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：TP333

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