The Triangular Pyramid Scheduling Model and algorithm for PDES in Grid

Zhihui Du, Man Wang, Yinong Chen, Yin Ye, Xudong Chai

Research output: Contribution to journalArticle

6 Citations (Scopus)


Grid is a perfect environment for the large scale Parallel Discrete Event Simulation (PDES), because its distribution and collaboration features match the PDES applications well. The PDES tasks or applications are modeled as a Directed Acyclic Graph (DAG), in which the simulation resources consist of three critical factors, simulation hosting machine (SHM), simulation service (SS) and simulation data (SD) in Grid environment. By solving the model we attempt to obtain an optimized triangular matching of the simulation resources on Grid, so that it can support the PDES activities better. We name the algorithm of solving the model Triangular Pyramid Scheduling (TPS). The PDES DAG is divided into three basic graph structures: Sequential structure, Fork structure, and Join structure. The TPS algorithm is developed based on these graph structures. The simulation results show that TPS algorithm can reduce the makespan and congestion, improve the simulation efficiency, and increase the resource utilization efficiency, compared to the existing algorithms.

Original languageEnglish
Pages (from-to)1678-1689
Number of pages12
JournalSimulation Modelling Practice and Theory
Issue number10
Publication statusPublished - 1 Nov 2009



  • DAG (Directed Acyclic Graph)
  • Grid computing
  • PDES (Parallel Discrete Event Simulation)
  • Scheduling algorithm

ASJC Scopus subject areas

  • Software
  • Modelling and Simulation
  • Hardware and Architecture

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