Efficient Processing of ContinuousSkylineQuery over Smarter Traffic Data Stream for Cloud Computing | Zendy

Hanning Wang | Zendy; Weixiang Xu | Zendy; Jiulin Yang | Zendy; Lili Wei | Zendy; Chaolong Jia | Zendy

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Efficient Processing of ContinuousSkylineQuery over Smarter Traffic Data Stream for Cloud Computing

Author(s) -

Hanning Wang,

Weixiang Xu,

Jiulin Yang,

Lili Wei,

Chaolong Jia

Publication year - 2013

Publication title -

discrete dynamics in nature and society

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.264

H-Index - 39

eISSN - 1607-887X

pISSN - 1026-0226

DOI - 10.1155/2013/209672

Subject(s) - skyline , computer science , cloud computing , data stream , intelligent transportation system , stream processing , architecture , distributed computing , data processing , data stream mining , data mining , database , operating system , engineering , art , telecommunications , civil engineering , visual arts

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

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