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Comparing job allocation schemes where service demand is unknown

  • Published:2008-09 Issue:6 Volume:74 Page:1067-1081
  • ISSN:0022-0000
  • Container-title:Journal of Computer and System Sciences
  • language:en
  • Short-container-title:Journal of Computer and System Sciences

Author:

Thomas Nigel

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Networks and Communications,Theoretical Computer Science

Reference16 articles.

1. Fitting phase-type distributions via the em algorithm;Asmussen;Scandinavian J. Statist.,1996

2. M. Bernardo, L. Donatiello, R. Gorrieri, Describing Queueing Systems with MPA, Technical Report UBLCS-94-11, University of Bologna, May, 1994

3. Load profiling: A methodology for scheduling real time tasks in a distributed system;Bestavros,1997

4. Analysis of a multimedia stream using stochastic process algebra;Bowman;Comput. J.,2001

5. Task assignment in a distributed system: Improving performance by unbalancing load (extended abstract);Crovella;Perform. Eval. Rev.,1998

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1. Energy consumption of TAGS in a heterogeneous environment under unknown service demand;Sustainable Computing: Informatics and Systems;2021-06

2. Energy Consumption by Servers under Unknown Service Demand;Electronic Notes in Theoretical Computer Science;2020-11

3. Analysis of the Task Assignment based on Guessing Size policy;Performance Evaluation;2020-09

4. Improving the performance for task assignment in distributed server systems by partitioning the large tasks;International Journal of Computer Mathematics;2014-05-12

5. Why segregating short jobs from long jobs under high variability is not always a win;2009 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton);2009-09
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