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
보안공학연구지원센터(IJGDC) [Science & Engineering Research Support Center, Republic of Korea(IJGDC)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Grid and Distributed Computing
간기
격월간
pISSN
2005-4262
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Grid and Distributed Computing vol.4 no.2