Improved load balancing on distributed massive simulation environments

  • Authors:
  • Cristoforo Caponigri;Gennaro Cordasco;Rosario De Chiara;Vittorio Scarano

  • Affiliations:
  • ISISLab, Dipartimento di Informatica ed Applicazioni "R.M. Capocelli", University of Salerno, Fisciano, Italy;ISISLab, Dipartimento di Informatica ed Applicazioni "R.M. Capocelli", University of Salerno, Fisciano, Italy;ISISLab, Dipartimento di Informatica ed Applicazioni "R.M. Capocelli", University of Salerno, Fisciano, Italy;ISISLab, Dipartimento di Informatica ed Applicazioni "R.M. Capocelli", University of Salerno, Fisciano, Italy

  • Venue:
  • OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems
  • Year:
  • 2010

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Abstract

In this paper, we report the findings we gathered in designing and implementing a system that provides a distributed massive simulation environment. Massive Battle is a system capable of simulating historical battles for the purpose of learning and to carry out historical researches (e.g. what-if scenarios). We present a distributed implementation of Massive Battle and some early tests. We report and discuss some analysis of the problems related to the workload distribution in this particular environment. We report how is possible to measure a better load balancing by adopting a more general scheme of computation that generalize the assignments that each peer has to complete together with simulation.