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Title
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Adaptivity in distributed agent-based simulation : a generic load-balancing approach
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Author
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Abstract
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| Distributed agent-based simulations often suffer from an imbalance in computational load, leading to a suboptimal use of resources. This happens when part of the computational resoures are waiting idle for another process to finish. Self-adaptive load-balancing algorithms have been developed to use these resources more optimally. These algorithms are typically implemented ad-hoc, making re-usability and maintenance difficult. In this work, we present a generic self-adaptive framework. This methodology is evaluated with the Acsim framework on two simulations: a micro-traffic simulation and a cellular automata simulation. For each of these scenarios a scalable and adaptive load-balancing algorithm is implemented, showing significant improvements in execution time of the simulation. |
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Language
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English
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Source (journal)
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Lecture notes in computer science. - Berlin, 1973, currens
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Source (book)
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Multi-Agent-Based Simulation XXI : 21st International Workshop, MABS 2020, Auckland, New Zealand, May 10, 2020: revised selected papers
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Publication
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Cham
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Springer
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2021
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ISBN
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978-3-030-66887-7
978-3-030-66888-4
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DOI
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10.1007/978-3-030-66888-4_1
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Volume/pages
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12316
, p. 1-12
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ISI
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001296310900001
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Full text (Publisher's DOI)
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