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HLA-based Adaptive Distributed Simulation of Wireless Mobile Systems
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Proceedings of the seventeenth workshop on Parallel and distributed simulation table of contents
Page: 40  
Year of Publication: 2003
ISBN:0-7695-1970-9
Authors
Luciano Bononi  Dipartimento di Scienze dell'Informazione, Università degli Studi di Bologna, Via Mura Anteo Zamboni 7, 40126, Bologna, Italy
Gabriele D'Angelo  Dipartimento di Scienze dell'Informazione, Università degli Studi di Bologna, Via Mura Anteo Zamboni 7, 40126, Bologna, Italy
Lorenzo Donatiello  Dipartimento di Scienze dell'Informazione, Università degli Studi di Bologna, Via Mura Anteo Zamboni 7, 40126, Bologna, Italy
Sponsor
SIGSIM: ACM Special Interest Group on Simulation and Modeling
Publisher
IEEE Computer Society  Washington, DC, USA
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Downloads (6 Weeks): 5,   Downloads (12 Months): 33,   Citation Count: 10
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ABSTRACT

Wireless networks' models differ from wired ones atleast in the innovative dynamic effects of host-mobilityand open-broadcast nature of the wireless medium.Topology changes due to simulated hosts' mobility mapon causality effects in the "areas of influence" of eachmobile device. The analysis of wireless networks ofinterest today may include a potentially high number ofsimulated hosts, resulting in performance and scalabilityproblems for discrete-event sequential simulation toolsand methods, on a single physical execution unit (PEU).In a distributed simulation, the main bottleneck becomesthe communication and synchronization required tomaintain the causality constrains between distributedmodel components. In this work we propose a HLAbased,dynamic mechanism for the runtime managementand allocation of model entities in a distributedsimulation of wireless networks models, over a cluster ofPEUs. By adopting a runtime evaluation of causalbindings between model entities we map the causal effectsof virtual topology changes to dynamic migration of datastructures. Preliminary results demonstrate that theprototype heuristics lead to a reduction in the percentageof external communication between the PEUs, limitedoverheads and performance enhancements for a worstcasescenario.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  10

Collaborative Colleagues:
Luciano Bononi: colleagues
Gabriele D'Angelo: colleagues
Lorenzo Donatiello: colleagues