WSPRC: An adaptive model for query optimization over web services

Dunlu Peng; Chen Li; Feng Zhu; Ning Zhang

doi:10.1109/WISM.2009.78

WSPRC: An adaptive model for query optimization over web services

Dunlu Peng^*, Chen Li, Feng Zhu, Ning Zhang

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Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

1 Citationer (Scopus)

Abstract

Query optimization over Web services is very important for data integration with Web services and has gained much attention in recent year. In this work, we propose an adaptive query optimization model for Web services, that is, Web Service Profiler-Reoptimizer-Cache (WSPRC). One of the core components of the model is Reoptimizer which is based on the adaptive greedy algorithm (A-Greedy) and analyzes the implementation of Web service query optimization process. We compare the traditional Greedy with A-Greedy from several aspects. The comparision and experimental results show that the WSPRC model and A-Greedy improve the efficiency of querying optimization over Web services.

Originalsprog	Engelsk
Titel	2009 International Conference on Web Information Systems and Mining, WISM 2009
Antal sider	5
Publikationsdato	1 dec. 2009
Sider	347-351
Artikelnummer	5369437
ISBN (Trykt)	9780769538174
DOI	https://doi.org/10.1109/WISM.2009.78
Status	Udgivet - 1 dec. 2009
Udgivet eksternt	Ja
Begivenhed	2009 International Conference on Web Information Systems and Mining, WISM 2009 - Shanghai, Kina Varighed: 7 nov. 2009 → 8 nov. 2009

Konference

Konference	2009 International Conference on Web Information Systems and Mining, WISM 2009
Land/Område	Kina
By	Shanghai
Periode	07/11/2009 → 08/11/2009

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10.1109/WISM.2009.78

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Citationsformater

@inproceedings{2d2fa3a8e36545278c3ff74600f72a9b,

title = "WSPRC: An adaptive model for query optimization over web services",

abstract = "Query optimization over Web services is very important for data integration with Web services and has gained much attention in recent year. In this work, we propose an adaptive query optimization model for Web services, that is, Web Service Profiler-Reoptimizer-Cache (WSPRC). One of the core components of the model is Reoptimizer which is based on the adaptive greedy algorithm (A-Greedy) and analyzes the implementation of Web service query optimization process. We compare the traditional Greedy with A-Greedy from several aspects. The comparision and experimental results show that the WSPRC model and A-Greedy improve the efficiency of querying optimization over Web services.",

keywords = "A-greedy, Adaptive, Query optimization, Web service, WSPRC",

author = "Dunlu Peng and Chen Li and Feng Zhu and Ning Zhang",

year = "2009",

month = dec,

day = "1",

doi = "10.1109/WISM.2009.78",

language = "English",

isbn = "9780769538174",

pages = "347--351",

booktitle = "2009 International Conference on Web Information Systems and Mining, WISM 2009",

note = "2009 International Conference on Web Information Systems and Mining, WISM 2009 ; Conference date: 07-11-2009 Through 08-11-2009",

}

TY - GEN

T1 - WSPRC

T2 - 2009 International Conference on Web Information Systems and Mining, WISM 2009

AU - Peng, Dunlu

AU - Li, Chen

AU - Zhu, Feng

AU - Zhang, Ning

PY - 2009/12/1

Y1 - 2009/12/1

N2 - Query optimization over Web services is very important for data integration with Web services and has gained much attention in recent year. In this work, we propose an adaptive query optimization model for Web services, that is, Web Service Profiler-Reoptimizer-Cache (WSPRC). One of the core components of the model is Reoptimizer which is based on the adaptive greedy algorithm (A-Greedy) and analyzes the implementation of Web service query optimization process. We compare the traditional Greedy with A-Greedy from several aspects. The comparision and experimental results show that the WSPRC model and A-Greedy improve the efficiency of querying optimization over Web services.

AB - Query optimization over Web services is very important for data integration with Web services and has gained much attention in recent year. In this work, we propose an adaptive query optimization model for Web services, that is, Web Service Profiler-Reoptimizer-Cache (WSPRC). One of the core components of the model is Reoptimizer which is based on the adaptive greedy algorithm (A-Greedy) and analyzes the implementation of Web service query optimization process. We compare the traditional Greedy with A-Greedy from several aspects. The comparision and experimental results show that the WSPRC model and A-Greedy improve the efficiency of querying optimization over Web services.

KW - A-greedy

KW - Adaptive

KW - Query optimization

KW - Web service

KW - WSPRC

UR - http://www.scopus.com/inward/record.url?scp=77749295770&partnerID=8YFLogxK

U2 - 10.1109/WISM.2009.78

DO - 10.1109/WISM.2009.78

M3 - Article in proceeding

AN - SCOPUS:77749295770

SN - 9780769538174

SP - 347

EP - 351

BT - 2009 International Conference on Web Information Systems and Mining, WISM 2009

Y2 - 7 November 2009 through 8 November 2009

ER -

WSPRC: An adaptive model for query optimization over web services

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