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Dynamic Time Delay Models for Load Balancing. Part I: Deterministic Models

  • J. Douglas Birdwell
  • John Chiasson
  • Zhong Tang
  • Chaouki Abdallah
  • Majeed M. Hayat
  • Tsewei Wang
Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 38)

Abstract

Parallel computer architectures utilize a set of computational elements (CE) to achieve performance that is not attainable on a single processor, or CE, computer. A common architecture is the cluster of otherwise independent computers communicating through a shared network. To make use of parallel computing resources, problems must be broken down in to smaller units that can be solved individually by each CE while exchanging information with CEs solving other problems.

Effective utilization of a parallel computer architecture requires the computational load to be distributed more or less evenly over the available CEs. The qualifier “more or less” is used because the communications required to distribute the load consume both computational resources and network bandwidth. A point of diminishing returns exists.

In this work, a nonlinear deterministic dynamic time-delay systems is developed to model load balancing in a cluster of computer nodes used for parallel computations. This model is then compared with an experimental implementation of the load balancing algorithm on a parallel computer network.

Keywords

Load Balance Local Average Computational Element Load Balance Algorithm Expected Waiting Time 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • J. Douglas Birdwell
    • 1
  • John Chiasson
    • 1
  • Zhong Tang
    • 1
  • Chaouki Abdallah
    • 2
  • Majeed M. Hayat
    • 2
  • Tsewei Wang
    • 3
  1. 1.ECE DeptUniversity of TennesseeKnoxvilleUSA
  2. 2.ECE DeptUniversity of New MexicoAlbuquerqueUSA
  3. 3.ChE DeptUniversity of TennesseeKnoxvilleUSA

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