Research Article
Genetic Algorithm Based Solution for Large-Scale Topology Mapping
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@INPROCEEDINGS{10.1007/978-3-030-43215-7_5, author={Nada Osman and Mustafa ElNainay and Moustafa Youssef}, title={Genetic Algorithm Based Solution for Large-Scale Topology Mapping}, proceedings={Testbeds and Research Infrastructures for the Development of Networks and Communications. 14th EAI International Conference, TridentCom 2019, Changsha, China, December 7-8, 2019, Proceedings}, proceedings_a={TRIDENTCOM}, year={2020}, month={3}, keywords={Network simulation Topology mapping Testbeds Genetic algorithm}, doi={10.1007/978-3-030-43215-7_5} }- Nada Osman
Mustafa ElNainay
Moustafa Youssef
Year: 2020
Genetic Algorithm Based Solution for Large-Scale Topology Mapping
TRIDENTCOM
Springer
DOI: 10.1007/978-3-030-43215-7_5
Abstract
Simulating large-scale network experiments requires powerful physical resources. However, partitioning could be used to reduce the required power of the resources and to reduce the simulation time. Topology mapping is a partitioning technique that maps the simulated nodes to different physical nodes based on a set of conditions. In this paper, genetic algorithm-based mapping is proposed to solve the topology mapping problem. The obtained results prove a high reduction in simulation time, in addition to high utilization of the used resources (The number of used resources is minimum).
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