Abstract
Web services are being adopted, more and more, as a viable means of accessing Web-based applications. Web services are not only used to exchange information between ,-enterprises but also help software developers to provide value- add services for various demands. At present, there is a trend towards deploying business processes as composite Web services, known as Web services compositions. Web services I compositions are synthesized by researchers from elementary web services, offering the opportunity for service providers (and application developers to create value-added services, through Web services composition. However, a problem exists in the current distribution process of Web services compositions: the general analysis and selection of services can be overly complex and un-systemic, for example, information I in Universal Description, Discovery and Integration (UDDI) are missed, uncompleted or inaccurate. Therefore, there is a need to manage composite Web services, based on these emerging technologies. But the research related to ranking, candidate services and selection of optimization strategies is sparse. Nothing has yet been published, that considers the I constraints of non-functional properties. In this paper, a systemic but complete composition process has been proposed, which shows great promise in the emerging demand for composite Web services. Also by proposing the new j constrained crossover and constrained mutation process, the Genetic Algorithm (GA) can operate effectively thus to produce an optimal solution (the best combination of Web services).
| Original language | English |
|---|---|
| Title of host publication | IMECS 2007 - International MultiConference of Engineers and Computer Scientists 2007 |
| Pages | 899-903 |
| Number of pages | 5 |
| Publication status | Published - 2007 Dec 1 |
| Event | International MultiConference of Engineers and Computer Scientists 2007, IMECS 2007 - Kowloon, Hong Kong Duration: 2007 Mar 21 → 2007 Mar 23 |
Other
| Other | International MultiConference of Engineers and Computer Scientists 2007, IMECS 2007 |
|---|---|
| Country | Hong Kong |
| City | Kowloon |
| Period | 07-03-21 → 07-03-23 |
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All Science Journal Classification (ASJC) codes
- Computer Science (miscellaneous)
Cite this
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The study of Web services composition model. / Liang, Wen Yau.
IMECS 2007 - International MultiConference of Engineers and Computer Scientists 2007. 2007. p. 899-903.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - The study of Web services composition model
AU - Liang, Wen Yau
PY - 2007/12/1
Y1 - 2007/12/1
N2 - Web services are being adopted, more and more, as a viable means of accessing Web-based applications. Web services are not only used to exchange information between ,-enterprises but also help software developers to provide value- add services for various demands. At present, there is a trend towards deploying business processes as composite Web services, known as Web services compositions. Web services I compositions are synthesized by researchers from elementary web services, offering the opportunity for service providers (and application developers to create value-added services, through Web services composition. However, a problem exists in the current distribution process of Web services compositions: the general analysis and selection of services can be overly complex and un-systemic, for example, information I in Universal Description, Discovery and Integration (UDDI) are missed, uncompleted or inaccurate. Therefore, there is a need to manage composite Web services, based on these emerging technologies. But the research related to ranking, candidate services and selection of optimization strategies is sparse. Nothing has yet been published, that considers the I constraints of non-functional properties. In this paper, a systemic but complete composition process has been proposed, which shows great promise in the emerging demand for composite Web services. Also by proposing the new j constrained crossover and constrained mutation process, the Genetic Algorithm (GA) can operate effectively thus to produce an optimal solution (the best combination of Web services).
AB - Web services are being adopted, more and more, as a viable means of accessing Web-based applications. Web services are not only used to exchange information between ,-enterprises but also help software developers to provide value- add services for various demands. At present, there is a trend towards deploying business processes as composite Web services, known as Web services compositions. Web services I compositions are synthesized by researchers from elementary web services, offering the opportunity for service providers (and application developers to create value-added services, through Web services composition. However, a problem exists in the current distribution process of Web services compositions: the general analysis and selection of services can be overly complex and un-systemic, for example, information I in Universal Description, Discovery and Integration (UDDI) are missed, uncompleted or inaccurate. Therefore, there is a need to manage composite Web services, based on these emerging technologies. But the research related to ranking, candidate services and selection of optimization strategies is sparse. Nothing has yet been published, that considers the I constraints of non-functional properties. In this paper, a systemic but complete composition process has been proposed, which shows great promise in the emerging demand for composite Web services. Also by proposing the new j constrained crossover and constrained mutation process, the Genetic Algorithm (GA) can operate effectively thus to produce an optimal solution (the best combination of Web services).
UR - http://www.scopus.com/inward/record.url?scp=84888311697&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84888311697&partnerID=8YFLogxK
M3 - Conference contribution
SN - 9789889867140
SP - 899
EP - 903
BT - IMECS 2007 - International MultiConference of Engineers and Computer Scientists 2007
ER -