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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Wang Hanning, Xu Weixiang, Jiulin Yang, Lili Wei, Jia Chaolong
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2013/209672
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850236586372890624
author Wang Hanning
Xu Weixiang
Jiulin Yang
Lili Wei
Jia Chaolong
author_facet Wang Hanning
Xu Weixiang
Jiulin Yang
Lili Wei
Jia Chaolong
author_sort Wang Hanning
collection DOAJ
description 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.
format Article
id doaj-art-1a3bc50d67b9469ebbd3e26ab764f3d8
institution OA Journals
issn 1026-0226
1607-887X
language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series Discrete Dynamics in Nature and Society
spelling doaj-art-1a3bc50d67b9469ebbd3e26ab764f3d82025-08-20T02:01:57ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2013-01-01201310.1155/2013/209672209672Efficient Processing of Continuous Skyline Query over Smarter Traffic Data Stream for Cloud ComputingWang Hanning0Xu Weixiang1Jiulin Yang2Lili Wei3Jia Chaolong4State Key Laboratory of Rail Traffic Control and Safety, Beijing JiaoTong University, Beijing 100044, ChinaSchool of Traffic and Transportation, Beijing JiaoTong University, Beijing 100044, ChinaChina National Tendering Center of Mach. & Elec. Equipment, Beijing 100142, ChinaChongqing Public Security Bureau, Chongqing 401147, ChinaState Key Laboratory of Rail Traffic Control and Safety, Beijing JiaoTong University, Beijing 100044, ChinaThe 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.http://dx.doi.org/10.1155/2013/209672
spellingShingle Wang Hanning
Xu Weixiang
Jiulin Yang
Lili Wei
Jia Chaolong
Efficient Processing of Continuous Skyline Query over Smarter Traffic Data Stream for Cloud Computing
Discrete Dynamics in Nature and Society
title Efficient Processing of Continuous Skyline Query over Smarter Traffic Data Stream for Cloud Computing
title_full Efficient Processing of Continuous Skyline Query over Smarter Traffic Data Stream for Cloud Computing
title_fullStr Efficient Processing of Continuous Skyline Query over Smarter Traffic Data Stream for Cloud Computing
title_full_unstemmed Efficient Processing of Continuous Skyline Query over Smarter Traffic Data Stream for Cloud Computing
title_short Efficient Processing of Continuous Skyline Query over Smarter Traffic Data Stream for Cloud Computing
title_sort efficient processing of continuous skyline query over smarter traffic data stream for cloud computing
url http://dx.doi.org/10.1155/2013/209672
work_keys_str_mv AT wanghanning efficientprocessingofcontinuousskylinequeryoversmartertrafficdatastreamforcloudcomputing
AT xuweixiang efficientprocessingofcontinuousskylinequeryoversmartertrafficdatastreamforcloudcomputing
AT jiulinyang efficientprocessingofcontinuousskylinequeryoversmartertrafficdatastreamforcloudcomputing
AT liliwei efficientprocessingofcontinuousskylinequeryoversmartertrafficdatastreamforcloudcomputing
AT jiachaolong efficientprocessingofcontinuousskylinequeryoversmartertrafficdatastreamforcloudcomputing