Earticle

초록

영어

With the growing number of alternative services in the cloud environment, users have put forward new requirements to solve the service dynamic selection problem quickly and efficiently. In this paper, an evaluation model of service process which considers concurrent requests and service association is proposed. This model evaluates the service process from three dimensions which are functional quality dimension, non-functional quality dimension and transactional dimension. To solve the service selection problem efficiently, we first design a novel coding strategy of particle, and then propose an approach based on hybrid particle swarm optimization algorithm which combines the crossover and mutation operators of genetic algorithm. The experimental results show that our proposed approach is feasible and effective.

목차

Abstract
 1. Introduction
 2. Problem Statement
 3. The Comprehensive Evaluation Model
  3.1 Functional Quality
  3.2 Non-functional Quality
  3.3 Aggregation Functions
  3.4 Transactional Properties
  3.5 Service Association
  3.6 Comprehensive Evaluation Model
 4. Service Selection Approach based on Hybrid Particle Swarm Optimization (HPSO-SSA)
  4.1 Particle Swarm Optimization
  4.2 Coding Strategy
  4.3 Crossover and Mutation
  4.4 Algorithm Design of HPSO-SSA
 5. Experiment and Analysis
  5.1 Performance vs. Number of iterations
  5.2. Performance vs. Number of Concurrent Processes 
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Wanchun Yang [ School of Electronics and Information Engineering, Tongji University, Shanghai 201804, China ]
• Chenxi Zhang [ School of Software Engineering, Tongji University, Shanghai 201804, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Grid and Distributed Computing

• 간기

  격월간

• pISSN

  2005-4262

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605