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Conference Paper Towards Self-Organized Load Distribution over Chaotic Resources
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Authors
Yong-Hyuk Moon, Yong-Ju Lee
Issue Date
2019-12
Citation
International Conference on Big Data Computing, Applications and Technologies (BDCAT) 2019, pp.131-132
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1145/3368235.3369366
Abstract
This paper addresses a question of whether resources suffering nonlinear fluctuations can maintain their stability as a system expands for computing tasks in a distributed manner. To this end, we suggest that by evolving individual resources following the self-organized criticality of sandpile model, the whole load distribution system can reach a stable state after a small but extremely local overhead occurs, leading to lots of avalanches. The proposed load balancing approach is evaluated in terms of latency minimization.
KSP Keywords
Balancing approach, Distribution System, Latency minimization, Load Distribution, Load balancing, Self-Organized Criticality, distributed manner, sandpile model, stable state