A component-based simulation layer for JAMES

Himmelspach, Jan; Uhrmacher, Adelinde M.

doi:10.1145/1013329.1013349

Cited by 13 publications

(10 citation statements)

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“…This was in fact one motivation for the development of the simulation system JAMES II [13]. To avoid time-consuming testing, however, one would have to predict the performance of a PDES system under given circumstances.…”

Section: Introductionmentioning

confidence: 99%

A Simulation Approach to Facilitate Parallel and Distributed Discrete-Event Simulator Development

Ewald

Himmelspach

Uhrmacher

et al. 2006

2006 Tenth IEEE International Symposium on Distributed Simulation and Real-Time Applications

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Efficiently simulating discrete-event models in a parallel and distributed manner is a challenging endeavour. On one hand, various factors, such as hardware infrastructure or model characteristics, have to be considered. On the other hand, there is a wide variety of algorithms which address subproblems of parallel and distributed simulation and whose performance depends on the application at hand. We illustrate the resulting difficulties with respect to the development of parallel and distributed simulation systems and argue that the simulation of distributed simulation systems is a feasible approach to alleviate them. To underpin this, we introduce SIMSIM, a sequential simulator for parallel and distributed simulation systems. SIMSIM's pertinency is illustrated by the development of a load balancing algorithm for PDEVS. The algorithm's performance is analysed using SIMSIM and the predicted performance is compared to the performance of its implementation in the simulation system JAMES II.

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Section: Introductionmentioning

confidence: 99%

A Simulation Approach to Facilitate Parallel and Distributed Discrete-Event Simulator Development

Ewald

Himmelspach

Uhrmacher

et al. 2006

2006 Tenth IEEE International Symposium on Distributed Simulation and Real-Time Applications

Self Cite

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“…By providing a set of different simulator components in JAMES the simulation engine can be easily adapted to the characteristics of the model, the underlying infrastructure, and the users preferences [10]. We developed simulator components dedicated to support variable structure models.…”

Section: Discussionmentioning

confidence: 99%

“…If one of the guarantee requests returns a guarantee for a time less than tn instead of the guarantee for time tn then this value will represent the new time of next event that will be processed The Coordinator in Figure 7 is compared to the Coordinator in Figure 3 slightly extended. Handling guarantee messages is done like in the other parallel, unpaced, epi coordinator, see [10]. If the message received is a guarantee request this request is forwarded to all subtrees which have at least one model with an attached external process (03).…”

Section: An Abstract Simulatormentioning

confidence: 99%

“…By further using the template pattern (see [10,8]) the effort for creating these new simulators was reduced. The creation of further processors is additionally facilitated by encapsulating the newly added functionality (sc message parsing, passing, and execution as well as the epi handling) in separate classes.…”

Section: Implementational Detailsmentioning

confidence: 99%

“…JAMES forms a component-based modeling and simulation environment for multi-agent systems. The component based design idea permeates the entire environment: same as models can be composed of model components, the simulation engine can be composed of simulator components on demand [10]. Simulator components for a paced, unpaced, sequential and parallel simulation have been implemented.…”

Section: Introductionmentioning

confidence: 99%

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Processing dynamic PDEVS models

Himmelspach

Uhrmacher

The IEEE Computer Society's 12th Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommu

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Structural changes, i.e. the creation and deletion of components, and the change of interactions are salient features of adaptive systems. To model and specify these systems variable structure models are required, i.e. models that entail in their own description the possibility to change their structure. To execute these models a simulator with a clear semantic of intertwining structural and non-structural changes is required.In JAMES different simulator components, e.g. for paced, unpaced, sequential, and parallel simulation, support the continuous use of models and simulation from specification to testing and a composition of the simulation engine on demand. Two types of simulator components for variable structure models are developed, integrated into the simulation layer, and the implications discussed.

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