A Multiple Priority Queueing Genetic Algorithm for Task Scheduling on Heterogeneous Computing Systems

@article{Xu2012AMP,
  title={A Multiple Priority Queueing Genetic Algorithm for Task Scheduling on Heterogeneous Computing Systems},
  author={Yuming Xu and Keqin Li and Tung Khac Truong and Meikang Qiu},
  journal={2012 IEEE 14th International Conference on High Performance Computing and Communication & 2012 IEEE 9th International Conference on Embedded Software and Systems},
  year={2012},
  pages={639-646}
}
On the distributed or parallel heterogeneous computing systems, an application is usually decomposed into several independent and/or interdependent sets of cooperating subtasks and assigned to a set of available processors for execution. Heuristic-based task scheduling algorithms consist of the two typical phases of task prioritization and processor selection. However, heuristic-based task scheduling algorithms produce a different makespan (completion time /schedule length) using the different… CONTINUE READING
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