Task scheduling with load balancing using multiple ant colonies optimization in grid computing

@article{Bai2010TaskSW,
  title={Task scheduling with load balancing using multiple ant colonies optimization in grid computing},
  author={Liang Bai and Yan-Li Hu and Songyang Lao and Wei Ming Zhang},
  journal={2010 Sixth International Conference on Natural Computation},
  year={2010},
  volume={5},
  pages={2715-2719}
}
Task scheduling with load balancing in grid computing aims to assign tasks to computing nodes and minimize the execution time of tasks as well as workload across all nodes. Despite of the intractability, the scheduling problem is of particular concern to both users and grid systems. In this paper, a multiple ant colonies optimization (MACO) approach is proposed for achieving task scheduling with load balancing. In the MACO approach, multiple ant colonies work together and exchange information… CONTINUE READING
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Effective allocation of customers to distribution centres: A multiple ant colony optimization approach[J

  • T SChanF, N. Kumar
  • Robotics and Computer-Integrated Manufacturing,
  • 2009
1 Excerpt

Genetic load and time prediction technique for dynamic load balancing in grid computing[J

  • Z. Akhtar
  • Information Technology Journal 2007,6
  • 2007
1 Excerpt

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