Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/11522,
  title    = {Impact of Fair Share and its Configurations on Parallel Job Scheduling Algorithms},
  author    = {Sangsuree Vasupongayya},
  country   = {},
  institution={},
  abstract  = {To provide a better understanding of fair share policies supported by current production schedulers and their impact on scheduling performance, A relative fair share policy supported in four well-known production job schedulers is evaluated in this study. The experimental results show that fair share indeed reduces heavy-demand users from dominating the system resources. However, the detailed per-user performance analysis show that some types of users may suffer unfairness under fair share, possibly due to priority mechanisms used by the current production schedulers. These users typically are not heavy-demands users but they have mixture of jobs that do not spread out.
},
    journal   = {International Journal of Computer, Electrical, Automation, Control and Information Engineering},  volume    = {3},
  number    = {10},
  year      = {2009},
  pages     = {2352 - 2360},
  ee        = {http://waset.org/publications/11522},
  url       = {http://waset.org/Publications?p=34},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 34, 2009},
}