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Internet-Based Adaptive Distributed Simulation of Mobile Ad-hoc Networks

Authors: Gabriele D'Angelo; Stefano Ferretti; Gary S. H. Tan;

Internet-Based Adaptive Distributed Simulation of Mobile Ad-hoc Networks

Abstract

In this paper we focus on Internet-based simulation, a form of distributed simulation in which a set of execution units that are physically located around the globe work together to run a simulation model. This setup is very challenging because of the latency/variability of communications. Thus, clever mechanisms must be adopted in the distributed simulation, such as the adaptive partitioning of the simulated model and load balancing strategies among execution units. We simulate a wireless model over a real Internet-based distributed simulation setup, and evaluate the scalability of the simulator with and without the use of adaptive strategies for both communication overhead reduction and load-balancing enhancement. The results confirm the viability of our approach to build Internet-based simulations.

Proceedings of the Proceedings of the 2019 Winter Simulation Conference (WSC 2019)

Country
Italy
Keywords

Computer Science - Networking and Internet Architecture, Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, Computer Science - Distributed, Parallel, and Cluster Computing, parallel and distributed simulation, Internet-based simulation, MANET, simulation, adaptive simulation, Distributed, Parallel, and Cluster Computing (cs.DC), parallel and distributed simulation; Internet-based simulation; MANET; simulation; adaptive simulation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green