Big-Data Processing Techniques and Their Challenges in Transport Domain

被引：4

作者：

Aftab Ahmed Chandio ^{[1
,2
]}

Nikos Tziritas ^{[1
]}

Cheng-Zhong Xu ^{[1
,3
]}

机构：

[1] Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences

[2] Institute of Mathematics and Computer Science, University of Sindh

[3] Department of Electrical and Computer Engineering, Wayne State University

来源：

ZTE Communications | 2015年 / 13卷 / 01期

关键词：

big-data; cloud computing; transportation management systems; Map Reduce; bulk synchronous parallel;

D O I：

暂无

中图分类号：

TP399-C6 []; TP311.13 [];

学科分类号：

081203 ; 0835 ; 1201 ;

摘要：

This paper describes the fundamentals of cloud computing and current big-data key technologies. We categorize big-data processing as batch- based, stream- based, graph- based,DAG-based, interactive-based, or visual-based according to the processing technique. We highlight the strengths and weaknesses of various big-data cloud processing techniques in order to help the big-data community select the appropriate processing technique. We also provide big data research challenges and future directions in aspect to transportation management systems.

引用

页码：50 / 59

页数：10

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