2006Chapman & Hall/CRC computer and information science seriesRequires access

Distributed Discrete-Event Simulation

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Abstract

Traditionaldiscrete-event simulations employ an inherently sequential algorithm.In practice, simulations of large systems are limited by this sequentiality, because only a modest number of events can be simulated.Distributed discrete-event simulation (carried out on a network of processors with asynchronous message-communicating capabilities) is proposed as an alternative; it may provide better performance by partitioning the simulation among the component processors.The basic distributed simulation scheme, which uses time encoding, is described.Its major shortcoming is a possibility of deadlock.Several techniques for deadlock avoidance and deadlock detection are suggested.The focus of this work is on the theory of distributed discrete-event simulation.

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Traditionaldiscrete-event simulations employ an inherently sequential algorithm.In practice, simulations of large systems are limited by this sequentiality, because only a modest number of events can be simulated.Distributed discrete-event simulation (carried out on a network of processors with asynchronous message-communicating capabilities) is proposed as an alternative; it may provide better performance by partitioning the simulation among the component processors.The basic distributed simulation scheme, which uses time encoding, is described.Its major shortcoming is a possibility of deadlock.Several techniques for deadlock avoidance and deadlock detection are suggested.The focus of this work is on the theory of distributed discrete-event simulation.

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Available abstract

Traditionaldiscrete-event simulations employ an inherently sequential algorithm.In practice, simulations of large systems are limited by this sequentiality, because only a modest number of events can be simulated.Distributed discrete-event simulation (carried out on a network of processors with asynchronous message-communicating capabilities) is proposed as an alternative; it may provide better performance by partitioning the simulation among the component processors.The basic distributed simulation scheme, which uses time encoding, is described.Its major shortcoming is a possibility of deadlock.Several techniques for deadlock avoidance and deadlock detection are suggested.The focus of this work is on the theory of distributed discrete-event simulation.

Key concepts: Deadlock, Computer science, Asynchronous communication, Discrete event simulation, Distributed computing, Deadlock prevention algorithms, Event (particle physics), Scheme (mathematics)

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