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Load Balancing for Future Internet: An Approach Based on Game Theory

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  • Shaoyi Song
  • Tingjie Lv
  • Xia Chen

Abstract

In recent years, countries all over the world consider the future internet as the country’s strategic development directions, so projects about future internet have been launched by these countries. Load balancing algorithms and job allocations are main research problems in areas of resource management of future internet. In this paper, we introduce a load balancing model for future internet. We formulate the static load balancing problem in the model proposed above as noncooperative game among users and cooperative game among processors. Based on this model, we derive a load balancing algorithm for computing center. Finally, we execute the algorithm presented in this paper with another three algorithms for comparison purpose. The advantages of our algorithm are better scalability to the model, improving system performance, and low cost on maintaining system information.

Suggested Citation

  • Shaoyi Song & Tingjie Lv & Xia Chen, 2014. "Load Balancing for Future Internet: An Approach Based on Game Theory," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-11, February.
    • Handle: RePEc:hin:jnljam:959782
    DOI: 10.1155/2014/959782
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    Cited by:

    1. R Swathy & B Vinayagasundaram & G Rajesh & Anand Nayyar & Mohamed Abouhawwash & Mohamed Abu Elsoud, 2020. "Game theoretical approach for load balancing using SGMLB model in cloud environment," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-22, April.

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