Abstract | ||
---|---|---|
Service-oriented computing is gaining momentum as the next technological tool to leverage the huge investments in Web application
development. The expected large number of Web services poses a set of new challenges for efficiently accessing these services.
We propose an integrated service query framework that facilitates users in accessing their desired services. The framework
incorporates a service query model and a two-phase optimization strategy. The query model defines service communities that
are used to organize the large and heterogeneous service space. The service communities allow users to use declarative queries
to retrieve their desired services without worrying about the underlying technical details. The two-phase optimization strategy
automatically generates feasible service execution plans and selects the plan with the best user-desired quality. In particular,
we present an evolutionary algorithm that is able to “co-evolve” multiple feasible execution plans simultaneously and allows
them to compete with each other to generate the best plan. We conduct a set of experiments to assess the performance of the
proposed algorithms. |
Year | DOI | Venue |
---|---|---|
2010 | 10.1007/s11761-010-0055-6 | Service Oriented Computing and Applications |
Keywords | Field | DocType |
web service · service selection · quality of web service,service oriented computing,evolutionary algorithm,web services,web application development,web service,integrated services | Effi,Evolutionary algorithm,Computer science,Service selection,Web application development,Web service,Service delivery framework,Database,Service-oriented architecture | Journal |
Volume | Issue | ISSN |
4 | 2 | 1863-2394 |
Citations | PageRank | References |
7 | 0.55 | 22 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Qi Yu | 1 | 770 | 55.65 |
Manjeet Rege | 2 | 264 | 17.25 |
Athman Bouguettaya | 3 | 2579 | 267.41 |
Brahim Medjahed | 4 | 1077 | 73.34 |
Mourad Ouzzani | 5 | 1213 | 120.36 |