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Periodic Load Balancing on the N-Cycle: Analytical and Experimental Evaluation

  • Christian Rieß
  • Rolf Wanka
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4641)

Abstract

We investigate the following very simple load-balancing algorithm on the N-cycle (N even) which we call Odd-Even Transposition Balancing (OETB). The edges of the cycle are partitioned into two matchings canonically. A matching defines a single step, the two matchings form a single round. Processors connected by an edge of the matching perfectly balance their loads, and, if there is an excess token, it is sent to the lower-numbered processor. The difference between the real process where the tokens are assumed integral and the idealized process where the tokens are assumed divisible can be expressed in terms of the local divergence [1]. We show that Odd-Even Transposition Balancing has a local divergence of N/2 − 1. Combining this with previous results, this shows that after O(N 2log(KN)) rounds, any input sequence with initial imbalance K is perfectly balanced. Experiments are presented that show that the number of rounds necessary to perfectly balance a load sequence with imbalance K that has been obtained by pre-balancing a random sequence with much larger imbalance is significally larger than the average number of rounds necessary for balancing random sequences with imbalance K.

Keywords

Load Balance Input Sequence Initial Discrepancy Idealize Process Periodic Load 
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 2007

Authors and Affiliations

  • Christian Rieß
    • 1
  • Rolf Wanka
    • 1
  1. 1.Computer Science Department, University of Erlangen-NurembergGermany

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