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Discrete Dynamics in Nature and Society
Volume 2013 (2013), Article ID 209672, 10 pages
http://dx.doi.org/10.1155/2013/209672
Research Article

Efficient Processing of Continuous Skyline Query over Smarter Traffic Data Stream for Cloud Computing

1State Key Laboratory of Rail Traffic Control and Safety, Beijing JiaoTong University, Beijing 100044, China
2School of Traffic and Transportation, Beijing JiaoTong University, Beijing 100044, China
3China National Tendering Center of Mach. & Elec. Equipment, Beijing 100142, China
4Chongqing Public Security Bureau, Chongqing 401147, China

Received 19 September 2013; Accepted 4 November 2013

Academic Editor: Huimin Niu

Copyright © 2013 Wang Hanning et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The analyzing and processing of multisource real-time transportation data stream lay a foundation for the smart transportation's sensibility, interconnection, integration, and real-time decision making. Strong computing ability and valid mass data management mode provided by the cloud computing, is feasible for handling Skyline continuous query in the mass distributed uncertain transportation data stream. In this paper, we gave architecture of layered smart transportation about data processing, and we formalized the description about continuous query over smart transportation data Skyline. Besides, we proposed mMR-SUDS algorithm (Skyline query algorithm of uncertain transportation stream data based on micro-batchinMap Reduce) based on sliding window division and architecture.