Computer Science and
     Software Engineering

Computer Science and Software Engineering

TR-COSC 08/98

Akaroa2: Exploiting Network Computing by Distributing Stochastic Simulation

G. Ewing, K. Pawlikowski and D. McNickle
Department of Computer Science
University of Canterbury

Abstract

In this paper we discuss an application of network computing in the area of stochastic simulation. We focus on main programming issues associated with designing of the latest version of AKAROA2, a simulation package in which network computing is applied in a practical and user-friendly way. This implemention is based on Multiple Replications In Parallel (MRIP) scenario of distributed simulation, in which multiple computers of a network operate as concurrent simulation engines generating statistically equivalent simulation output data, and submitting them to global data analysers responsible for analysis of the final results and for stopping the simulation. The MRIP scenario can achieve speedup equal to the number of processors used.

Keywords: distributed computing, distributed simulation, stochastic simulation