ion of Continuous System to Discrete Event System Using Neural Network Sung Hoon Jung* and Tag Gon Kim, *School of Information and Computer Engineering, Hansung Univ., Seoul, Korea tDepartment of Electrical Engineering, KAIST, Taejon 305-701, Korea ABSTRACT A hybrid system consists of continuous systems and discrete event systems, which interact with each other. In such configuration, a continu...

This paper introduces a novel approach for discrete event simulation output analysis. The approach combines dynamic time warping and clustering to enable the identification of system behaviours contributing to overall system performance, by linking the clustering cases to specific causal events within the system. Simulation model event logs have been analysed to group entity flows based on the ...

Discrete-event simulation is frequently used to analyze and predict the performance of systems. Simulation of large, complex systems remains a major stumbling block, however, due to the prohibitive computation costs. Distributed simulation offers one approach that can significantly reduce these computation costs. Since distributed simulation deals with large and complex systems, the following i...

Evaluation of scheduling algorithms for distributed environments is a complex task that involves simulation of computation resources, interconnection network, users and generated workload. Multiple discrete event based simulators are developed that tackle different aspects of distributed systems in order to ease that task. In this paper we address the simulation of computer clusters that are th...

The article describes the development and application of a new discrete time-event simulation modeling methodology used in the copper mining industry in Chile. The proposed methodology creates a simulation model that represents a mine-mill operation, and it is used to evaluate different improvement options to maximize the system performance. Two applications of this methodology to existing copp...

Discrete event simulation is a methodology to study the behavior of complex systems. Its drawback is that, in order to get reliable results, simulations have to be usually run over a long stretch of time. This time requirement could decrease through the usage of parallel or distributed computing systems. In this paper we analyze the Time Warp synchronization protocol for parallel discrete event...