Dynamic Load-Sharing Using Predicted Process Resource Requirements
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Dynamic Load-Sharing Using Predicted Process Resource Requirements

Dynamic Load-Sharing Using Predicted Process Resource Requirements


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About the Book

Heuristics which use predicted process resource requirements to make scheduling decisions are proposed. Four heuristics are presented. The first two, MINQ and SMPL, employ centralized scheduling and the remaining two, DMINQ and FDMINQ, use distributed scheduling. These heuristics are first compared against random scheduling and then against two conventional heuristics, CENTEX and DISTED, which schedule processes solely based on system state information. Results based on trace-driven simulations show that the proposed centralized heuristics offer significantly improved mean response time and they require fewer status update messages. In experiments using the same status update rates, SMPL response times were, on the average, 22 percent lower than those for CENTEX; MINQ response times were, on the average, 18 percent lower. The simulations also showed that MINQ and SMPL can perform as well as, or better than, CENTEX while using up to 70 percent fewer status update messages. The use of fewer status update messages imposes less overhead on the system. The use of prediction for distributed scheduling produced similar results. When prediction was used to filter small processes and execute them locally a 50 percent improvement in response times was obtained. Goswami, Kumar K. and Iyer, Ravishankar K. Unspecified Center NAG1-613...


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Product Details
  • ISBN-13: 9781722185725
  • Publisher: Createspace Independent Publishing Platform
  • Publisher Imprint: Createspace Independent Publishing Platform
  • Height: 279 mm
  • No of Pages: 32
  • Spine Width: 2 mm
  • Width: 216 mm
  • ISBN-10: 1722185724
  • Publisher Date: 02 Jul 2018
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Weight: 100 gr


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