The C programming language
The Operational Analysis of Queueing Network Models
ACM Computing Surveys (CSUR)
Queueing Network Modeling of Computer Communication Networks
ACM Computing Surveys (CSUR)
SIMULATION OF PACKET COMMUNICATION ARCHITECTURE COMPUTER SYSTEMS
SIMULATION OF PACKET COMMUNICATION ARCHITECTURE COMPUTER SYSTEMS
A Nontrivial Example of Concurrent Processing: Distributed Simulation
A Nontrivial Example of Concurrent Processing: Distributed Simulation
Specification, Synthesis, Verification and Performance Analysis ofDistributed Programs
Specification, Synthesis, Verification and Performance Analysis ofDistributed Programs
Analysis and simulation of congestion in packet-switched networks.
Analysis and simulation of congestion in packet-switched networks.
ACM Transactions on Programming Languages and Systems (TOPLAS)
Distributed discrete-event simulation
ACM Computing Surveys (CSUR)
Asynchronous control of discrete event simulation
ANSS '85 Proceedings of the 18th annual symposium on Simulation
Concurrent simulation: an alternative to distributed simulation
WSC '86 Proceedings of the 18th conference on Winter simulation
Speeding up distributed simulation using the time warp mechanism
EW 2 Proceedings of the 2nd workshop on Making distributed systems work
Proceedings of the 2008 Spring simulation multiconference
Proceedings of International Workshop on Engineering Simulations for Cyber-Physical Systems
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Discrete simulation is a widely used technique for system performance evaluation. The conventional approach to discrete simulation (e.g., GPSS, Simscript) does not attempt to exploit the parallelism typically available in queueing network models. In this paper, a distributed approach to discrete simulation is presented. It involves the decomposition of a simulation into components and the synchronization of these components by message passing. This approach can result in the speedup of the total time to complete a given simulation if a network of processors is available. The architecture of a microcomputer network suitable for distributed simulation is described and some results concerning the distributed approach are presented.