【摘要】：云計(jì)算作為一種新興的計(jì)算模式一經(jīng)提出便得到工業(yè)界、學(xué)術(shù)界的廣泛關(guān)注，它能夠?yàn)橛脩籼峁╈`活的、按需分配的、廉價(jià)的服務(wù)。云計(jì)算具有變革互聯(lián)網(wǎng)服務(wù)的潛在能力。各個(gè)國家都在積極建設(shè)面向社會(huì)開放、功能齊全的云計(jì)算公共服務(wù)平臺(tái)。隨著世界經(jīng)濟(jì)和股票市場的發(fā)展，越來越多的人將股票投資作為一種理財(cái)方式。在我國，股票證券交易不過十幾年時(shí)間，但是發(fā)展卻非常快。然而，面對(duì)海量的股票交易數(shù)據(jù)，人們往往不能很好利用這些數(shù)據(jù)去為自己的決策提供支持，而是通過決策者的直觀感受來做出決定，沒有有效的工具和技術(shù)來從海量的數(shù)據(jù)中提取有價(jià)值的信息。國內(nèi)市場也有不少的股票分析軟件，但都大同小異，在大數(shù)據(jù)的環(huán)境下沒有幫助股民進(jìn)行智能分析的能力，對(duì)股票的價(jià)格走向的預(yù)測(cè)有時(shí)完全不準(zhǔn)確。因此建設(shè)基于云計(jì)算的智能股票分析系統(tǒng)具有重大的意義,研發(fā)一個(gè)面向大數(shù)據(jù)的智能股票分析云平臺(tái)面向社會(huì)服務(wù)是一個(gè)急需解決的問題。 本課題主要研究基于云計(jì)算平臺(tái)的并行計(jì)算對(duì)股票交易數(shù)據(jù)進(jìn)行實(shí)時(shí)分析和預(yù)測(cè)，與此同時(shí)對(duì)云平臺(tái)的計(jì)算資源進(jìn)行遠(yuǎn)程管控。本論文的主要研究內(nèi)容如下：首先,建立了云平臺(tái)門戶系統(tǒng),該系統(tǒng)面向各種用戶形成各種子系統(tǒng)的統(tǒng)一門戶，實(shí)現(xiàn)了對(duì)云計(jì)算環(huán)境下的資源管控。其次，建立了基于云計(jì)算的數(shù)據(jù)安全管理系統(tǒng)，該系統(tǒng)解決了用戶數(shù)據(jù)的存儲(chǔ)、傳輸?shù)募咏饷軉栴}保證了數(shù)據(jù)的安全性，實(shí)現(xiàn)了對(duì)云計(jì)算環(huán)境下的安全管控。最后，建立了基于云計(jì)算的智能股票分析系統(tǒng)，對(duì)神經(jīng)網(wǎng)絡(luò)、主成分分析等數(shù)據(jù)挖掘算法進(jìn)行了相應(yīng)的研究，設(shè)計(jì)實(shí)現(xiàn)了基于BP神經(jīng)網(wǎng)絡(luò)的股票價(jià)格預(yù)測(cè)分析方法。該系統(tǒng)通過和集群進(jìn)行實(shí)時(shí)通信，得到詳細(xì)股票數(shù)據(jù)情況，并進(jìn)行圖形化展示，這充分利用了云平臺(tái)的計(jì)算性能。 該課題研究與實(shí)現(xiàn)了云計(jì)算環(huán)境下的股票數(shù)據(jù)分析系統(tǒng)，滿足了對(duì)股票等大數(shù)據(jù)處理和分析的需要，所建立的財(cái)務(wù)分析、智能選股、量價(jià)分析、信息檢索等模型對(duì)股票投資有一定的指導(dǎo)和參考價(jià)值。這對(duì)于企業(yè)和個(gè)人都具有十分重要的意義。
[Abstract]:Cloud computing as a new computing model has been widely concerned by industry and academia. It can provide users with flexible, on-demand, low-cost services. Cloud computing has the potential to transform Internet services. All countries are actively building open and fully functional cloud computing public service platform. With the development of world economy and stock market, more and more people take stock investment as a way of financing. In our country, stock and securities trading only a dozen years, but the development is very fast. However, in the face of massive stock trading data, people often can not make good use of these data to provide support for their own decisions, but through the intuitive feelings of decision makers to make decisions. There are no effective tools and techniques to extract valuable information from vast amounts of data. The domestic market also has many stock analysis software, but all are similar, in big data's environment does not have the ability to help the stock owner to carry on the intelligent analysis, the forecast to the stock price trend sometimes is completely inaccurate. Therefore, it is of great significance to build an intelligent stock analysis system based on cloud computing. It is an urgent problem to develop an intelligent stock analysis cloud platform oriented to social service for big data. This paper mainly studies the real-time analysis and prediction of stock trading data based on parallel computing based on cloud computing platform, and at the same time, remotely controls the computing resources of cloud platform. The main contents of this thesis are as follows: firstly, a cloud platform portal system is established, which forms a unified portal for all kinds of users and realizes resource management and control in cloud computing environment. Secondly, the data security management system based on cloud computing is established. The system solves the storage of user data, the problem of encryption and decryption of transmission ensures the security of data, and realizes the security control of cloud computing environment. Finally, an intelligent stock analysis system based on cloud computing is established, and the corresponding data mining algorithms such as neural network and principal component analysis are studied, and the stock price prediction and analysis method based on BP neural network is designed and implemented. Through real-time communication with the cluster, the system can get detailed stock data and display it graphically, which makes full use of the computing performance of the cloud platform. This research and implementation of cloud computing environment of stock data analysis system, meet the need to deal with and analyze the stock big data, the established financial analysis, intelligent stock selection, volume and price analysis, The information retrieval model has certain guidance and reference value for stock investment. This is of great significance to both enterprises and individuals.
【學(xué)位授予單位】：湖南大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP3;F832.51

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