A Job Dispatch Optimization Method on Cluster and Cloud for Large-Scale High-Throughput Computing Service

@article{Choi2015AJD,
  title={A Job Dispatch Optimization Method on Cluster and Cloud for Large-Scale High-Throughput Computing Service},
  author={Ji Eun Choi and Seoyoung Kim and Theodora Adufu and Soonwook Hwang and Yoonhee Kim},
  journal={2015 International Conference on Cloud and Autonomic Computing},
  year={2015},
  pages={283-290}
}
Cloud technologies, clusters and grids have actively supported large-scale scientific computing over the years. Whereas these technologies provide unlimited computing resources, combining them with the existing infrastructures to effectively support demanding scientific applications is more and more laborious. In this paper, we design a service architecture and propose an algorithm to optimize job distribution on a cluster and a cloud using HTCaaS. HTCaaS is a pilot job-based multilevel… CONTINUE READING