Genetic algorithm based QoS-aware service compositions in cloud computing

Authors:
Zhen Ye;Xiaofang Zhou;Athman Bouguettaya
Affiliations:
School of Information Technology and Electrical Engineering, The University of Queensland, Australia and CSIRO ICT Centre, Australia;School of Information Technology and Electrical Engineering, The University of Queensland, Australia and School of Information, Renmin University of China, China Key Lab of Data Engineering and Kn ...;CSIRO ICT Centre, Australia
Venue:
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications: Part II
Year:
2011

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Abstract

Services in cloud computing can be categorized into two groups: Application services and Utility Computing Services. Compositions in the application level are similar to the Web service compositions in SOC (Service-Oriented Computing). Compositions in the utility level are similar to the task matching and scheduling in grid computing. Contributions of this paper include: 1) An extensible QoS model is proposed to calculate the QoS values of services in cloud computing. 2) A genetic-algorithm-based approach is proposed to compose services in cloud computing. 3) A comparison is presented between the proposed approach and other algorithms, i.e., exhaustive search algorithms and random selection algorithms.