Java for parallel discrete event simulation: a survey

Castilla, Iván; Aguilar, Rosa María; Callero, Yeray

doi:10.1504/ijspm.2011.048006

Cited by 3 publications

(3 citation statements)

References 63 publications

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“…This entails the need to keep the different logical processes synchronized; a problem for which different solutions have been proposed, including conservative and optimistic protocols. A recent survey on Java‐based parallel simulators can be found in .…”

Section: Background and Related Workmentioning

confidence: 99%

Planting parallel program simulation on the cloud

Cuomo

Rak

Villano

2013

Concurrency and Computation

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SummaryThe writing of efficient parallel code has always been a tedious and time‐consuming process. However, the performance prediction prototype tools devised in the last decade come of age now, thanks to the availability of the almost unlimited computing power of clouds. This paper presents the practical use of mJADES, a novel environment for running multiple concurrent simulations in the cloud, to predict the performance of parallel code in multiple working conditions at once. After an introduction on mJADES and its operational aspects, the construction of parallel code performance prediction models will be dealt with. The models and the results obtained for a simple but complete and meaningful case study will be presented, discussing the accuracy obtained by simulation and the time required for performing the whole set of simulations necessary to characterize the program behavior. Copyright © 2013 John Wiley & Sons, Ltd.

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Section: Background and Related Workmentioning

confidence: 99%

Planting parallel program simulation on the cloud

Cuomo

Rak

Villano

2013

Concurrency and Computation

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“…In conclusion, performance should not be used as a critical reason for choosing one language over another. 24 In this paper we present a strategy that combines fuzzy logic and DES to allocate resources in a hospital management scenario. By using fuzzy programming and simulation, the application designed makes obtaining the most efficient allocations simple while decreasing the computational time.…”

Section: State Of the Artmentioning

confidence: 99%

“…In conclusion, performance should not be used as a critical reason for choosing one language over another. 24…”

Section: State Of the Artmentioning

confidence: 99%

Simulations and fuzzy systems for resource reallocation

2013

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This paper presents a strategy that combines fuzzy logic and discrete event simulation to address the resource relocation problem. In any system with limited resources, the way in which said resources are distributed influences the quality of the services that can be provided. Making these decisions requires studying the various implications that increasing or distributing the resources has on the system. In this paper, we propose the combined use of simulation and fuzzy logic to determine a proper method for distributing resources. We have used the SIGHOS library to model a case involving a hospital process. The resource reallocation process can be monitored throughout the simulation, allowing for a study of the effects that increasing or distributing the resources has on the system.

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Concurrent simulation in the cloud with the mJADES framework

Cuomo

Rak

Villano

2013

IJSPM

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In this paper we discuss the design and implementation of mJADES, a new simulation engine that runs on top of an ad-hoc federation of cloud providers and is designed to perform multiple concurrent simulations. These features make mJADES an attractive environment for the simulation of complex systems, in which it is often desiderable to perform many simulation runs, either for statistical validation or to compare the system behavior in several di↵erent conditions. Given a set of simulation tasks, mJADES is able automatically to acquire the computing resources needed from the cloud and to distribute the simulation runs to be executed. . His research activities focus on performance evaluation and prediction of parallel and distributed computer systems, including Cloud Computing, Grid Computing and their integration, with special attention to simulative prediction techniques. His scientific activity is mainly focused on the analysis and design of High Performance System Architectures and on methodologies and techniques for distributed software development.Umberto Villano is full professor at the University of Sannio at Benevento, Italy, where he is Director of the Department of Engineering. His major research interests concern performance prediction and analysis of parallel and distributed computer architectures, tools and environments for parallel programming and distributed algorithms. He received the Laurea degree in Electronic Engineering cum laude from the University of Naples in 1983.In the last few years, cloud computing (Peter Mell and Tim Grance, 2009) has proven to be a convenient paradigm for structuring and deploying applications and infrastructures. The elastic nature of the cloud paradigm, together with the "everything as a service" philosophy mutuated from the Service Oriented Architecture (SOA) methodology, has promoted its use

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Java for parallel discrete event simulation: a survey

Cited by 3 publications

References 63 publications

Planting parallel program simulation on the cloud

Planting parallel program simulation on the cloud

Simulations and fuzzy systems for resource reallocation

Concurrent simulation in the cloud with the mJADES framework

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