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Load balancing: An exercise in constrained convergence

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Distributed Algorithms (WDAG 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 972))

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Abstract

We consider the problem of load balancing to illustrate the design and analysis of distributed control based on a generalized form of stabilization. We call this form of stabilization constrained convergence. Constrained convergence yields novel, fully distributed, global load balancing programs which are (i) adaptive, (ii) fault-tolerant and, most notably, (iii) the first such programs to exhibit stability while interacting with any possible environment.

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Author information

Authors and Affiliations

  1. Dept. of Computer & Inf. Science, The Ohio State University, 43210, Columbus, OH

    Anish Arora

  2. Dept. of Computer Sciences, The University of Texas, 78712, Austin, TX

    Mohamed Gouda

Authors
  1. Anish Arora
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  2. Mohamed Gouda
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Editor information

Jean-Michel Hélary Michel Raynal

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© 1995 Springer-Verlag Berlin Heidelberg

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Arora, A., Gouda, M. (1995). Load balancing: An exercise in constrained convergence. In: Hélary, JM., Raynal, M. (eds) Distributed Algorithms. WDAG 1995. Lecture Notes in Computer Science, vol 972. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0022147

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  • DOI: https://doi.org/10.1007/BFb0022147

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60274-3

  • Online ISBN: 978-3-540-44783-2

  • eBook Packages: Springer Book Archive

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