Name
Abstract | ||
|---|---|---|
In this paper we present a hybrid approach for automatic composition of web services that generates semantic input-output based compositions with optimal end-to-end QoS, minimizing the number of services of the resulting composition. The proposed approach has four main steps: 1) generation of the composition graph for a request; 2) computation of the optimal composition that minimizes a single objective QoS function; 3) multi-step optimizations to reduce the search space by identifying equivalent and dominated services; and 4) hybrid local-global search to extract the optimal QoS with the minimum number of services. An extensive validation with the datasets of the Web Service Challenge 2009-2010 and randomly generated datasets shows that: 1) the combination of local and global optimization is a general and powerful technique to extract optimal compositions in diverse scenarios; and 2) the hybrid strategy performs better than the state-of-the-art, obtaining solutions with less services and optimal QoS. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TSC.2015.2480396 | IEEE Transactions on Services Computing |
Keywords | DocType | Volume |
Semantic Web Services,Service Composition Framework,Service Composition Performance,Service Discovery | Journal | PP |
Issue | ISSN | Citations |
99 | 1939-1374 | 17 |
PageRank | References | Authors |
0.55 | 31 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pablo Rodriguez-Mier | 1 | 166 | 6.77 |
| Manuel Mucientes | 2 | 378 | 35.05 |
| Manuel Lama | 3 | 383 | 34.84 |