Abstract
Requirement-Service (RS) is considered as a main trend in software service, and all kinds of developers are focusing on how to meet different users' demands with the corresponding service composition via more flexible and fast-speed methods. However, with the increasing scale of the mapping information databases, as well as increasing complexity of service composition, the execution efficiency of the 2-layer framework could not be satisfied. In order to overcome this situation, a composited method of 3-layer framework of Requirement-Task-Service (RTS) is proposed in this paper, in which a new mapping information database based on the granularity theory is built first, and a optimal Clipping-Matching Algorithm (CMA) on the basis of the Optimal Covering Theory (OCT) is proposed then. Finally, the results obtained from experiments are released, indicating that this 3-layer mapping framework can enhance the efficiency of service matching dramatically by decomposing the service granularity trees into service granularity forests.
| Original language | English |
|---|---|
| Journal | Advances in Information Sciences and Service Sciences |
| Volume | 3 |
| Issue number | 11 |
| DOIs | |
| Publication status | Published - Dec 2011 |
| Externally published | Yes |
Keywords
- 3-layer framework
- Service composition
- Service granularity
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