An Approach for QoS-aware Service Composition with GraphPlan and Fuzzy Logic
| Autor: | Ming Zhu, Guodong Fan, Heng Kuang, Jing Li |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
business.industry
Computer science Quality of service Rank (computer programming) Cloud computing 02 engineering and technology Graphplan computer.software_genre Fuzzy logic Set (abstract data type) Information and Communications Technology 020204 information systems 0202 electrical engineering electronic engineering information engineering General Earth and Planetary Sciences 020201 artificial intelligence & image processing Artificial intelligence Web service business computer General Environmental Science |
| Zdroj: | EUSPN/ICTH |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2018.10.149 |
| Popis: | With the rapid development of Information and Communication Technology, the growth of data is set to explode and brings us to an era of cloud computing. As a result, more and more services are posted on the web. In such situation, searching and composing services become a computationally demanding work. To address this problem, we design a system which combines fuzzy logic with GraphPlan algorithm. Fuzzy rules are employed to evaluate and rank services according to users’ preferences, then, the solution with the optimal QoS value is selected and used in GraphPlan construction. We evaluate our approach by experiments with web service challenge datasets. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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