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
收藏
页码：50 / 59
页数：10
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