2nd International ICST Workshop on Advances in Data and Information Management: Recent Advances of Cloud Computing in Data and Information Management Conference on Communications and Networking in China

Research Article

QoS-aware Service Composition in Multi-Network Environment based on Genetic Algorithm

  • @INPROCEEDINGS{10.1109/ChinaCom.2011.6158346,
        author={Minghui Li and Kaigui Wu and Lu Liu},
        title={QoS-aware Service Composition in Multi-Network Environment based on Genetic Algorithm},
        proceedings={2nd International ICST Workshop on Advances in Data and Information Management: Recent Advances of Cloud Computing in Data and Information Management  Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={ADIM},
        year={2012},
        month={3},
        keywords={qos; soa; ga; multi-network},
        doi={10.1109/ChinaCom.2011.6158346}
    }
    
  • Minghui Li
    Kaigui Wu
    Lu Liu
    Year: 2012
    QoS-aware Service Composition in Multi-Network Environment based on Genetic Algorithm
    ADIM
    IEEE
    DOI: 10.1109/ChinaCom.2011.6158346
Minghui Li1,*, Kaigui Wu1, Lu Liu2
  • 1: Chongqing University
  • 2: University of Derby
*Contact email: qscdfg@163.com

Abstract

QoS-aware service composition is one of the most important technologies in SOA. The aim is to compose a new service with the best QoS under the user constraints by a set of atomic services. There are a lot of researches on this topic in recent years. But most of them did not take the effect of the multi-network environment into account and the algorithms took much time when the number of the service candidates was large. In this paper, we present a service composition model in multi-network environment and solve the problem by employing genetic algorithm (GA) within acceptable time. Our approach provides a fast way to find the best solution for QoS-aware service composition in multi-network environment. The experimental results show that our method achieves better performance than other approaches.