Abstract
Load balancing strategy is one of the most important issues for service resource allocation in order to balance tasks for different service resources. However, cloud computing has brought about many great changes to the traditional information service process when adjusting tasks among different service resources. In this paper, service alliance is introduced into the new information service model, which can provide a new communication mechanism for service providers and service users. Then, a task-oriented load balancing strategy, named double weighted least connection, is proposed. This strategy not only considers the usage of the service resources, but also takes account of the size of different tasks. Furthermore, a set of simulation experiments is discussed in order to evaluate the performance of different load balancing strategies in different situations.
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Acknowledgement
This work was supported in part by the National Natural Science Foundation of China under Grant 71401048, 71131002, 71472058, and by Anhui Provincial Natural Science Foundation under Grant 1508085MG140.
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Luo, H., Liang, Z., Niu, Y., Fang, X. (2016). Task Oriented Load Balancing Strategy for Service Resource Allocation in Cloud Environment. In: Tan, Y., Shi, Y., Li, L. (eds) Advances in Swarm Intelligence. ICSI 2016. Lecture Notes in Computer Science(), vol 9713. Springer, Cham. https://doi.org/10.1007/978-3-319-41009-8_5
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DOI: https://doi.org/10.1007/978-3-319-41009-8_5
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