Effective Web service selection for composition using centrality measures

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

With the increasing popularity of Web services and Service-Oriented Architecture, we need sophisticated infrastructure to discover and compose Web services. Dynamic Web service Composition will gain wider acceptance only when users know that the solutions obtained are comprised of trustworthy services. In this paper, we extend our Web service Composition framework to include selection and ranking of services based on their reputation score. We present a technique to calculate a reputation score per service using centrality measure of Social Networks.

Original languageEnglish (US)
Title of host publicationInternational Conference on Information Society, i-Society 2011
Pages222-223
Number of pages2
StatePublished - 2011
EventInternational Conference on Information Society, i-Society 2011 - London, United Kingdom
Duration: Jun 27 2011Jun 29 2011

Other

OtherInternational Conference on Information Society, i-Society 2011
CountryUnited Kingdom
CityLondon
Period6/27/116/29/11

Fingerprint

Web services
Chemical analysis
Service oriented architecture (SOA)
reputation
popularity
ranking
social network
acceptance
infrastructure

Keywords

  • Reputation
  • Service composition
  • Social networks

ASJC Scopus subject areas

  • Information Systems
  • Social Sciences (miscellaneous)

Cite this

Bansal, S. K., & Bansal, A. (2011). Effective Web service selection for composition using centrality measures. In International Conference on Information Society, i-Society 2011 (pp. 222-223). [5978439]

Effective Web service selection for composition using centrality measures. / Bansal, Srividya Kona; Bansal, Ajay.

International Conference on Information Society, i-Society 2011. 2011. p. 222-223 5978439.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bansal, SK & Bansal, A 2011, Effective Web service selection for composition using centrality measures. in International Conference on Information Society, i-Society 2011., 5978439, pp. 222-223, International Conference on Information Society, i-Society 2011, London, United Kingdom, 6/27/11.
Bansal SK, Bansal A. Effective Web service selection for composition using centrality measures. In International Conference on Information Society, i-Society 2011. 2011. p. 222-223. 5978439
Bansal, Srividya Kona ; Bansal, Ajay. / Effective Web service selection for composition using centrality measures. International Conference on Information Society, i-Society 2011. 2011. pp. 222-223
@inproceedings{3aae49fb44344f649d0080ed68819b2c,
title = "Effective Web service selection for composition using centrality measures",
abstract = "With the increasing popularity of Web services and Service-Oriented Architecture, we need sophisticated infrastructure to discover and compose Web services. Dynamic Web service Composition will gain wider acceptance only when users know that the solutions obtained are comprised of trustworthy services. In this paper, we extend our Web service Composition framework to include selection and ranking of services based on their reputation score. We present a technique to calculate a reputation score per service using centrality measure of Social Networks.",
keywords = "Reputation, Service composition, Social networks",
author = "Bansal, {Srividya Kona} and Ajay Bansal",
year = "2011",
language = "English (US)",
isbn = "9780956426383",
pages = "222--223",
booktitle = "International Conference on Information Society, i-Society 2011",

}

TY - GEN

T1 - Effective Web service selection for composition using centrality measures

AU - Bansal, Srividya Kona

AU - Bansal, Ajay

PY - 2011

Y1 - 2011

N2 - With the increasing popularity of Web services and Service-Oriented Architecture, we need sophisticated infrastructure to discover and compose Web services. Dynamic Web service Composition will gain wider acceptance only when users know that the solutions obtained are comprised of trustworthy services. In this paper, we extend our Web service Composition framework to include selection and ranking of services based on their reputation score. We present a technique to calculate a reputation score per service using centrality measure of Social Networks.

AB - With the increasing popularity of Web services and Service-Oriented Architecture, we need sophisticated infrastructure to discover and compose Web services. Dynamic Web service Composition will gain wider acceptance only when users know that the solutions obtained are comprised of trustworthy services. In this paper, we extend our Web service Composition framework to include selection and ranking of services based on their reputation score. We present a technique to calculate a reputation score per service using centrality measure of Social Networks.

KW - Reputation

KW - Service composition

KW - Social networks

UR - http://www.scopus.com/inward/record.url?scp=80052583893&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80052583893&partnerID=8YFLogxK

M3 - Conference contribution

SN - 9780956426383

SP - 222

EP - 223

BT - International Conference on Information Society, i-Society 2011

ER -