원문정보
초록
영어
Service composition is considered as a promising approach to generate composite services for satisfying services Consumers’ needs using their preferences. Literature review shows that previous studies ignored issues that affect Service composition such as increasing composition time and no ranking for produced composite services. To address these issues, we propose a semantic-aware approach for automatic cloud services composition. Firstly, a semantic network of service is built using an efficient input-output matching algorithm. Secondly, a Forward-Chaining based algorithm is adopted to create composite services, according to the request of the Cloud Service Consumer. Thirdly, a hybrid ranking method based on similarity quality and QoS Criteria is implemented to select “the most suitable” composite service. The results of experiments provide evidence that our approach can effectively produce composite services for service consumer’s request, and show benefits of consuming less composition time comparing to similar composition algorithms.
목차
1. Introduction
2. Literature Review
2.1 Cloud Services
2.2 Unified Ontology
3. Semantic-Aware Approach for Automatic Cloud Services Composition
3.1 Efficient Output-Input Matching Algorithm for Building a Semantic Network
3.2 Forward-Chaining based Algorithm for Finding Composite Services
3.3 Hybrid Ranking Method for Selecting Optimal Composite Service
4. Experiment and Analysis
4.1 Experiment Setting
4.2 Experiment Results and Analysis
5. Conclusions
Acknowledgement
References