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Towards an Artificial Hormone System for Self-organizing Real-Time Task Allocation

  • Uwe Brinkschulte
  • Mathias Pacher
  • Alexander von Renteln
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4761)

Abstract

This article presents the concept of an artificial hormone system for a completely decentralized realization of self-organizing task allocation. We show that tight upper bounds for the real-time behavior of self-configuration can be given. We also show two simulation results using the artificial hormone system demonstrating the operation of the artificial hormone system under different workloads.

Keywords

Processing Element Hormone System Task Assignment Task Allocation Heterogeneous Computing Workshop 
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.

References

  1. 1.
    Heiss, H.-U., Schmitz, M.: Decentralized dynamic load balancing: The particles approach. In: Proc. 8th Int. Symp. on Computer and Information Sciences, Istanbul, Turkey (November 1993)Google Scholar
  2. 2.
    Cicerre, F.R.L., Bittencourt, L.F., Madeira, E.R.M., Buzato, L.E.: A path clustering heuristic for scheduling task graphs onto a grid. In: MGC 2005. 3rd International Workshop on Middleware for Grid Computing, Grenoble, France (2005)Google Scholar
  3. 3.
    Radulescu, A., van Gemund, A.J.C.: Fast and effective task scheduling in heterogeneous systems. In: IEEE Computer - 9th Heterogeneous Computing Workshop, Cancun, Mexico, IEEE Computer Society Press, Los Alamitos (2000)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2007

Authors and Affiliations

  • Uwe Brinkschulte
    • 1
  • Mathias Pacher
    • 1
  • Alexander von Renteln
    • 1
  1. 1.Institute for Process Control, Automation, and Robotics, University of Karlsruhe (TH)Germany

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