银行业的存储虚拟化系统设计与实现

发布时间：2018-01-18 12:27

本文关键词：银行业的存储虚拟化系统设计与实现　出处：《上海交通大学》2012年硕士论文　论文类型：学位论文

【摘要】：当前，信息技术已经渗透到商业银行与金融机构经营管理的各个领域。金融业已成为信息技术高度密集，高度依赖的行业。随着我国金融信息化建设步伐的加快，信息科技在促进业务发展的同时，数据存储的需求也呈几何级数增长。如何提高数据存储效率，保证信息安全成为影响银行业稳健发展的重要因素之一。传统银行金融机构的存储系统面临传输速度慢，空间利用率低，安全性较低和异构系统管理复杂等诸多问题。近年来，随着计算机技术的发展,虚拟化技术越来越广泛地被银行金融机构使用。特别应用在海量数据的处理上，存储虚拟化具有高效率、高安全与低成本的优势，所以该技术比较适合应用于银行业数据的存储。存储虚拟化技术不仅可以满足业务增长的存储需求,而且也有效地减少了银行业的存储开支和能耗。本文以存储虚拟化技术为基础，针对银行业特有的行业规范、法律法规等要求，提出多层次的存储虚拟化系统架构。该设计不仅能够满足保密性、完整性和可用性的数据存储基本原则，同时也对银行业的需求做出了调整和优化。数据自动分层技术可以识别数据的调用率，把调用率高的数据自动转移到高速磁盘，提高存储I/O性能。重复数据删除技术能够在存储系统空闲时间做重复数据甄别与删除的工作，降低存储空间使用率。快照与数据副本技术提高了备份和恢复数据的灵活性。动态卷和统一存储管理技术则是大大简化了存储部署与管理的方法。相比传统存储系统，在成本相差不大的情况下，存储虚拟化系统的整体效率可以提高50%以上。高效可靠的的数据处理对银行来说至关重要，数据的处理不仅影响银行声誉与客户满意度，，而且关系到整个国家的金融体系稳定。因此，存储虚拟化的实现是我国在银行业数据存储方式的创新，是存储系统发展一个新的技术方向。为了实现银行业的存储虚拟化，本文的所做的研究工作在于： 1)研究银行数据存储的行业规范和相关要求，帮助理解需要分析的各种指标 2)研究存储系统的数据存储过程，帮助理解数据存储的技术背景 3)研究传统存储的现状问题和存储虚拟化技术的革新与优势，建立合适的存储虚拟化系统架构 4)研究银行业存储虚拟化系统的设计，并实现应用与性能测试在系统分析过程中，我们先研究适用于数据处理的银行业的法律法规、行业规范以及相关标准，分析并总结这些要求中的关键点，通过存储虚拟化技术设计数据存储的模型，在对浦发银行信用卡中心的实际数据进行测试后，可以得出该模型的准确性。
[Abstract]:At present, information technology has penetrated into the commercial banks and financial institutions in all areas of management, the financial industry has become highly concentrated in information technology. Highly dependent industries. With the acceleration of the pace of financial information construction in China, information technology in promoting business development, the demand for data storage is also geometric growth. How to improve the efficiency of data storage. Ensuring information security has become one of the important factors affecting the steady development of banking industry. In recent years, with the development of computer technology, the storage system of traditional banking and financial institutions is faced with many problems, such as slow transmission speed, low utilization of space, low security and complex management of heterogeneous systems. Virtualization technology is more and more widely used by banks and financial institutions. Especially in the processing of massive data storage virtualization has the advantages of high efficiency high security and low cost. Storage virtualization technology can not only meet the storage needs of business growth, but also effectively reduce the storage cost and energy consumption of the banking industry. Based on the storage virtualization technology, this paper proposes a multi-level storage virtualization system architecture, which can not only satisfy the confidentiality, but also meet the specific requirements of banking industry standards, laws and regulations. Integrity and availability of the basic principles of data storage, but also to the needs of the banking industry has been adjusted and optimized. Data automatic stratification technology can identify the rate of data transfer. The data with high transfer rate can be automatically transferred to high speed disk to improve the performance of storage I / O. Repeated-data deletion technology can identify and delete repeated data in the storage system idle time. Snapshot and data copy technology improves the flexibility of data backup and recovery. Dynamic volume and unified storage management technology greatly simplifies the storage deployment and management method. Compared with traditional storage, the technology of dynamic volume and unified storage management greatly simplifies the method of storage deployment and management. The system. The overall efficiency of the storage virtualization system can be increased by more than 50% when the cost is small. Efficient and reliable data processing is very important for banks. The processing of data not only affects the reputation of banks and customer satisfaction, but also relates to the stability of the financial system of the whole country. The realization of storage virtualization is the innovation of data storage mode in banking industry in China, and it is a new technical direction of storage system development. In order to realize the storage virtualization of the banking industry, the research work in this paper is as follows: 1) to study the industry specifications and related requirements of bank data storage, and to help understand the various indicators that need to be analyzed. 2) study the data storage procedure of storage system, and help to understand the technical background of data storage 3) to study the current situation of traditional storage and the innovation and advantages of storage virtualization technology, and to establish a suitable storage virtualization system architecture. 4) study the design of banking storage virtualization system, and implement the application and performance testing. In the process of system analysis, we first study the laws and regulations, industry norms and related standards applicable to the data processing of banking, and analyze and summarize the key points of these requirements. The model of data storage is designed by storage virtualization technology. After testing the actual data of the credit card center of Pudong Development Bank, the veracity of the model can be obtained.
【学位授予单位】：上海交通大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TP333

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