【摘要】：金融數(shù)據(jù)云平臺的建設(shè),可以根據(jù)國家利益在全球范圍內(nèi)采集金融信息,為我國金融機構(gòu)和非金融企業(yè)參與全球證券、外匯與貨幣、固定收益、商品與能源等市場,提供較為全面、準確的金融信息服務(wù),從而掌握金融信息的采集權(quán),增強金融信息的發(fā)布權(quán),形成金融產(chǎn)品的定價權(quán),提高金融領(lǐng)域的話語權(quán),切實維護我國的金融安全和信息安全。2006年3月,亞馬遜推出彈性計算云EC2服務(wù)。時至今日,云計算可以概括分為基礎(chǔ)設(shè)施即服務(wù),平臺即服務(wù)和軟件即服務(wù)。金融數(shù)據(jù)分為結(jié)構(gòu)化數(shù)據(jù)和非結(jié)構(gòu)化數(shù)據(jù)。隨著網(wǎng)絡(luò)的發(fā)展,結(jié)構(gòu)數(shù)據(jù)和非結(jié)構(gòu)數(shù)據(jù)的邊界開始模糊,在一定的條件下經(jīng)常需要轉(zhuǎn)化。金融數(shù)據(jù)量是巨大的,并且需要長久保存,金融數(shù)據(jù)云平臺面臨著海量數(shù)據(jù)存儲的問題。金融數(shù)據(jù)的實時性和準確性都要求非常高,金融數(shù)據(jù)云平臺也面臨著數(shù)據(jù)分發(fā)的問題。所以,本文將是面向金融數(shù)據(jù)平臺的平臺即服務(wù)的金融數(shù)據(jù)分發(fā)和數(shù)據(jù)存儲的研究和設(shè)計。 通過對FIX協(xié)議、NAS、對象存儲、Google GFS、HDFS的研究,掌握了現(xiàn)在的數(shù)據(jù)存儲和數(shù)據(jù)分發(fā)技術(shù)。金融數(shù)據(jù)云平臺的數(shù)據(jù)分發(fā)要求流量控制能夠彈性適應(yīng)金融數(shù)據(jù)本身的突發(fā)性和實效性,適合異地備份和異地存儲的存儲方式。同時體現(xiàn)可用性、安全性、性能和擴展性。金融數(shù)據(jù)云平臺的數(shù)據(jù)分發(fā)包括五個組件：數(shù)據(jù)通信模塊、數(shù)據(jù)提交模塊、策略控制模塊、一系列控制策略和存儲數(shù)據(jù)的數(shù)據(jù)服務(wù)器。金融數(shù)據(jù)云平臺的數(shù)據(jù)存儲不僅僅只是做到數(shù)據(jù)安全、異地訪問、數(shù)據(jù)一致,更是要做到異地備份、異地災(zāi)備。數(shù)據(jù)存儲將用到數(shù)據(jù)庫存儲、文件存儲、內(nèi)存(緩存)存儲。通過備份虛擬化技術(shù)、SOA、自動化管理等實現(xiàn)金融數(shù)據(jù)云平臺的異地備份。通過各節(jié)點間的數(shù)據(jù)自動復(fù)制和同步功能,并在存儲陣列上進行基于IP網(wǎng)絡(luò)的遠程卷復(fù)制,最終實現(xiàn)數(shù)據(jù)級的容災(zāi)保護,并確保兩地數(shù)據(jù)的一致性,即可實現(xiàn)金融數(shù)據(jù)云平臺的異地災(zāi)備。通過DNS的接入,訪問權(quán)限控制層,最終通過應(yīng)用層路由控制將應(yīng)用請求轉(zhuǎn)發(fā)至各地的應(yīng)用平臺之上,實現(xiàn)異地訪問。 本文通過對金融數(shù)據(jù)云平臺的分發(fā)和存儲的研究,旨在未來構(gòu)建處理面向多種類、多渠道、多類型金融數(shù)據(jù)的金融數(shù)據(jù)云平臺。
[Abstract]:The construction of the financial data cloud platform can collect financial information on a global scale according to the national interests, so that our financial institutions and non-financial enterprises can participate in global securities, foreign exchange and currency, fixed income, commodities and energy markets. To provide a more comprehensive and accurate financial information service, so as to master the right to collect financial information, strengthen the right to issue financial information, form the pricing power of financial products, and enhance the right to speak in the financial field. Effectively maintain our financial and information security. In March 2006, Amazon launched the flexible Computing Cloud EC2 service. Today, cloud computing can be divided into infrastructure as a service, platform as a service and software as a service. Financial data is divided into structured data and unstructured data. With the development of network, the boundary of structural data and unstructured data begin to blur, and often need to be transformed under certain conditions. The financial data volume is huge and needs to be preserved for a long time. The financial data cloud platform is faced with the problem of massive data storage. The real-time and accuracy of financial data are very high, and the cloud platform of financial data is also faced with the problem of data distribution. Therefore, this paper is the research and design of financial data distribution and data storage for financial data platform. Through the research on FIX protocol, FIX, object storage and FIX, the present technology of data storage and data distribution has been mastered. The data distribution of the financial data cloud platform requires that the flow control can adapt to the sudden and effective of the financial data itself and is suitable for the storage mode of backup and storage in different places. It also embodies usability, security, performance and scalability. The data distribution of the financial data cloud platform consists of five components: data communication module, data submission module, policy control module, a series of control strategies and data server for storing data. The data storage of financial data cloud platform is not only to achieve data security, remote access, consistent data, but also to achieve remote backup, disaster preparedness. Data storage will use database storage, file storage, memory (cache) storage. Through backup virtualization technology SOA, automatic management and other financial data cloud platform remote backup. By automatically copying and synchronizing the data between the nodes and remote volume replication based on IP network on the storage array, the disaster tolerance protection of data level is finally realized, and the consistency of data between the two places is ensured. Can realize the financial data cloud platform remote disaster preparedness. Through the access of DNS, access control layer, and finally through the application layer routing control to forward the application request to the application platform in order to achieve remote access. Through the research on the distribution and storage of financial data cloud platform, this paper aims to construct a financial data cloud platform for dealing with multi-type, multi-channel and multi-type financial data in the future.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2012
【分類號】：TP333

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本文編號：2188151