원문정보
보안공학연구지원센터(IJGDC)
International Journal of Grid and Distributed Computing
vol.4 no.2
2011.06
pp.43-52
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Cloud Computing is a new and vast area that is impacting new business model and is heavily using the network as a platform. As the number of cloud services grow , it will be difficult to find the appropriate Cloud service suitable for our needs. We combine the service selection algorithm and ranking mechanism along with particle swarm optimization algorithm to find the appropriate service matching our needs. We are using Quality of Service as our main criteria. We consider travelling as our subject and take availability, reliability and price as our measure of Quality of Service . We use multi-objective optimization strategies to find the best Cloud service.
목차
Abstract
2. Related Works
3. Proposed Framework
3.1 Cloud Service Repository
3.2 QoS Database
4. Cloud Service Description Model
5. Service Selection and Ranking Framework
6. Web Service Selection, Ranking and Updating
6.1 Service Selection Algorithm
6.2 Service Ranking Algorithm
7. Particle Swarm Optimization Algorithm for Service Selection Based on Quality of Service in Web Service Composition
7.1 Particle Swarm Optimization Algorithm
8. Simulation Results
9. Conclusion
References
2. Related Works
3. Proposed Framework
3.1 Cloud Service Repository
3.2 QoS Database
4. Cloud Service Description Model
5. Service Selection and Ranking Framework
6. Web Service Selection, Ranking and Updating
6.1 Service Selection Algorithm
6.2 Service Ranking Algorithm
7. Particle Swarm Optimization Algorithm for Service Selection Based on Quality of Service in Web Service Composition
7.1 Particle Swarm Optimization Algorithm
8. Simulation Results
9. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보