Big-Data Processing Techniques and Their Challenges in Transport Domain  

作　　者：Aftab Ahmed Chandio Nikos Tziritas Cheng-Zhong Xu 

机构地区：[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

出　　处：《ZTE Communications》2015年第1期50-59,共10页中兴通讯技术（英文版）

基　　金：supported in part by the National Basic Research Program(973 Program,No.2015CB352400);NSFC under grant U1401258;U.S NSF under grant CCF-1016966

摘　　要：This paper describes the fundamentals of cloud computing and current big-data key technologies. We categorize big-da- ta 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 appropri- ate processing technique. We also provide big data research challenges and future directions in aspect to transportation management systems.This paper describes the fundamentals of cloud computing and current big-data key technologies. We categorize big-da- ta 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 appropri- ate processing technique. We also provide big data research challenges and future directions in aspect to transportation management systems.

关 键 词：big-data cloud computing transportation management sys-tems MAPREDUCE bulk synchronous parallel 

分 类 号：TP399-C6[自动化与计算机技术—计算机应用技术] TP311.13[自动化与计算机技术—计算机科学与技术]