An analytical model and an optimal scheduling heuristic for collective resource management

  • Authors:
  • Qiang Sun

  • Affiliations:
  • Siebel Systems, Inc., San Mateo, CA

  • Venue:
  • Proceedings of the 32nd conference on Winter simulation
  • Year:
  • 2000

Quantified Score

Hi-index 0.00

Visualization

Abstract

In the this paper, we study the problem of collective resource management. We first introduce the problem through real-world examples. Then we generalize the problem and build an analytical model using queuing theory. Based on this model, we evaluate the expected average waiting time of tasks. We present data from simulations, and compare the expected average waiting time from theoretical calculations to that from our experiments. We propose an optimal task scheduling heuristic. We conclude with a brief discussion of our future research plans.