상세정보
학술대회
Towards Self-Organized Load Distribution over Chaotic Resources
- 발행일
- 201912
- 출처
- International Conference on Big Data Computing, Applications and Technologies (BDCAT) 2019, pp.131-132
- 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