一种实时行情数据交换组件的设计与实现

发布时间：2018-05-20 11:58

本文选题：云计算 + 行情信息数据　；参考：《北京邮电大学》2015年硕士论文

【摘要】：互联网产业发展如浪潮般袭来,它的兴起不仅体现在技术的革命,同时还带动并引发很多传统产业发生变革乃至颠覆。例如互联网中自媒体与电子商务的发展改变着传媒、商业等领域的游戏规则。以用户为中心、体验至上为核心的互联网思维正在以人们意想不到的速度渗透至更多的传统产业中去。金融,这个与人们日常生活接触最紧密的服务型行业也正迎来互联网带给它的洗礼与挑战。云计算与大数据技术作为现今驱动产品变革的两大核心技术越来越受到人们重视,它们与金融的结合就产生了金融数据云平台的创新初衷。作为金融云平台中核心要素,金融数据的积累工作也成为该平台搭建的基础任务。同时如何保证数据的高可用性也成为金融数据云平台要解决的关键问题。基于这样的背景,就需要数据组件来提供金融数据的获取、处理以及分发服务。作为金融数据中的主要组成部分,股票交易实时行情数据就成为首先被数据组件考虑提供的对象。本文就开展实时行情数据交换组件的研究,并对该研究拟解决金融领域中金融行情交易数据的交换和分发功能实现机制问题进行阐述。通过对于金融行情数据的特点的分析研究,设计对应的分发处理机制,设计并实现针对云环境下数据交换中间件,从而使云环境下的金融数据中心对数据分发保持稳定性,为后续金融数据中心的大数据应用服务提供很好地支持,确保数据中心中金融数据资源应用的高效性与实用性。本文首先阐述了课题的相关研究背景,介绍了金融数据的相关背景知识,描述了数据交换组件实现的相关技术,具体分析了实时行情数据以及所要提供的数据服务的需求。在此基础上,提出了实时行情数据交换组件的模块化设计方案,实现了数据交换组件的各项功能,并进行了测试和分析。
[Abstract]:The development of Internet industry is coming like a tide. Its rise is not only reflected in the revolution of technology, but also leads to the transformation and even subversion of many traditional industries. For example, the development of self-media and e-commerce in the Internet has changed the rules of the game in media, commerce and other fields. User-centered and experiential-oriented Internet thinking is permeating into more traditional industries at unexpected speeds. Finance, the service industry that has the closest contact with people's daily life, is also facing the baptism and challenge brought by the Internet. Cloud computing and big data technology as the two core technologies that drive the product change have been paid more and more attention. The combination of them and finance has resulted in the original intention of innovation of financial data cloud platform. As the core element of the financial cloud platform, the accumulation of financial data has become the basic task of the platform. At the same time, how to ensure the high availability of data has become the key problem to be solved in the financial data cloud platform. Based on this background, data components are needed to provide financial data acquisition, processing and distribution services. As the main component of the financial data, the real-time quotation data of stock exchange becomes the first object that the data component considers to provide. In this paper, the research of real-time market data exchange component is discussed, and the realization mechanism of the exchange and distribution of financial market transaction data in the financial field is expounded in this paper. Through the analysis and study of the characteristics of financial market data, the corresponding distribution processing mechanism is designed, and the data exchange middleware is designed and implemented in the cloud environment, so that the financial data center in the cloud environment can maintain the stability of data distribution. It provides a good support for the big data application service of the financial data center, and ensures the efficiency and practicability of the financial data resource application in the data center. This paper first describes the research background of the subject, introduces the related background knowledge of financial data, describes the related technology of data exchange component, and analyzes the demand of real-time market data and the data service to be provided. On this basis, the modularization design scheme of real-time quotation data exchange component is put forward, the functions of data exchange component are realized, and the test and analysis are carried out.
【学位授予单位】：北京邮电大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TP393.09

【参考文献】