Modeling the Effects of Contention on the Performance of Heterogeneous Applications

  • Authors:
  • Silvia M. Figueira;Francine Berman

  • Affiliations:
  • -;-

  • Venue:
  • HPDC '96 Proceedings of the 5th IEEE International Symposium on High Performance Distributed Computing
  • Year:
  • 1996

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Abstract

Fast networks have made it possible to coordinate distributed heterogeneous CPU, memory, and storage resources to provide a powerful platform for executing high-performance applications. However, the performance of these applications on such systems is highly dependent on the allocation and efficient coordination of application tasks. A key component for a performance-efficient allocation strategy is a predictive model which provides a realistic estimate of application performance under varying resource loads. In this paper, we present a model for predicting the effects of contention on application behavior in heterogeneous systems. In particular, our model calculates the slowdown imposed on communication and computation for non-dedicated two-machine heterogeneous platforms. We describe the model for the Sun/CM2 and Sun/Paragon coupled heterogeneous systems. We present experiments on production systems with emulated contention which show the predicted communication and computation costs to be within 15% on average of actual costs. * This paper can be located at http://www-cse.ucsd.edu/users/silvia