jpdc2021-paper
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— | jpdc2021-paper [2021/05/29 13:01] – created gda | ||
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+ | ====== Adaptive Parallel and Distributed Simulation of Complex Networks ====== | ||
+ | ====== Authors ====== | ||
+ | |||
+ | * [[http:// | ||
+ | * [[https:// | ||
+ | |||
+ | ====== Abstract ====== | ||
+ | |||
+ | // | ||
+ | We present a study on the intricate problem of the simulation of large scale complex networks. The complexity of the simulation is due to the need to represent networks with a high number of nodes and links, but even more to the need to model interactions among network nodes. We focus on discrete-event simulation, a simulation methodology that enables both sequential (i.e. monolithic) and parallel/ | ||
+ | // | ||
+ | |||
+ | ====== Keywords ====== | ||
+ | |||
+ | * Parallel and Distributed Simulation (PADS), Simulation, Complex Networks, Performance Evaluation | ||
+ | |||
+ | ====== Status ====== | ||
+ | |||
+ | * Submitted (i.e. under evaluation) to the Journal of Parallel and Distributed Computing. | ||
+ | |||
+ | ====== Paper ====== | ||
+ | |||
+ | * Not yet available. | ||
+ | |||
+ | ====== Resources ====== | ||
+ | |||
+ | * The LUNES source code is part of the [[pads: | ||
+ | * Raw data obtained by the experiments used to produce the figures: {{pads: |
jpdc2021-paper.txt · Last modified: 2023/09/02 12:49 by gda