Zhike Han
School of computer and computing science, Zhejiang University City College Hangzhou, China
Shuoping Wang
School of computer and computing science, Zhejiang University City College Hangzhou, China
Jiawei Lu
School of computer and computing science, Zhejiang University City College Hangzhou, China
Hanjian Zhang
School of computer and computing science, Zhejiang University City College Hangzhou, China
ABSTRACT
Public bus accounting system employs basic accounting methods and financial accounting principles of double-entry bookkeeping. It uses real-time data provided by passenger daily system, real-time billing system, supplies system and human resources system. And it takes the single commercial vehicles and line as the accounting unit to collect revenue, costs. Ultimately, it implements the reflection of bus, lines, fleet and companys operation financial condition accurately. Nevertheless, the number of the data of the accounting process is huge. The problem that accounting process is relatively long and real-time is relatively bad exists as well. The arise of MapReduce framework solves the problem, it provides simple programming interface, hides bottom details, sets programmers free from traditional parallel programming mode. At the same time, its lack of simplicity exists as well, for example, internal expression capability is weak, as for some complex algorithms, it must be separated by programmers into units that can be individually run in MapReduce framework. This study analyses emphatically the problem of long accounting process and bad real-time that using MapReduce programming framework to solve the problem.
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How to cite this article
Zhike Han, Shuoping Wang, Jiawei Lu and Hanjian Zhang, 2013. A Parallel Algorithm of Public Bus Accounting Based on Mapreduce. Information Technology Journal, 12: 8398-8404.
DOI: 10.3923/itj.2013.8398.8404
URL: https://scialert.net/abstract/?doi=itj.2013.8398.8404
DOI: 10.3923/itj.2013.8398.8404
URL: https://scialert.net/abstract/?doi=itj.2013.8398.8404
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