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학술대회 Towards Self-Organized Load Distribution over Chaotic Resources
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저자
문용혁, 이용주
발행일
201912
출처
International Conference on Big Data Computing, Applications and Technologies (BDCAT) 2019, pp.131-132
DOI
https://dx.doi.org/10.1145/3368235.3369366
협약과제
19HS5800, 부하분산과 능동적 적시 대응을 위한 빅데이터 엣지 분석 기술 개발, 이용주
초록
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 제안 키워드
Balancing approach, Distribution System, Latency minimization, Load balancing, Load distribution, Self-Organized Criticality, distributed manner, sandpile model, stable state