将关系型数据库上运行的车辆跟踪系统迁移至大数据环境

Ferhat Koçer, Selim Bayrakli
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引用次数: 0

摘要

在跟踪系统中,创建一个高性能和可扩展的系统一直是个问题。过高的实时数据强度是这一问题的根源所在。本文打算采用大数据方法来取代传统方法。对于车辆跟踪系统架构,本研究超越了传统方法,提出了一种新的设计。这一验证与传统方法进行了比较。创建了一个通用解决方案,并设计了一个可用于类似实时数据传输的基础设施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Migration of a Vehicle Tracking System Running on Relational Database to Big Data Environment
Creating a high-performance and scalable system has always been an issue in tracking systems. Excessive and real-time data intensity is what lies at the bottom of this problem. This article intends to implement big data approaches instead of conventional ones. For the vehicle tracking system architecture, this study went beyond conventional methods and put forward a new design. This validation was compared to the conventional method. A general solution was created and an infrastructure which can be used in similar real-time data transmission was designed.
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