Efficient Processing of Continuous Skyline Query over Smarter Traffic Data Stream for Cloud Computing. (19th December 2013)

• Record Type: Journal Article
• Authors: Hanning, Wang; Weixiang, Xu; Yang, Jiulin; Wei, Lili; Chaolong, Jia
• Other Names: Niu Huimin Academic Editor.
• Is Part Of: Discrete dynamics in nature and society. Volume 2013(2013)
• Publication Date: 2013-12-19
• Subjects: System analysis -- Periodicals; Dynamics -- Periodicals; Chaotic behavior in systems -- Periodicals; Differentiable dynamical systems -- Periodicals; 003.05
• DOI: 10.1155/2013/209672
• Languages: English
• ISSNs: 1026-0226

Abstract

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.