ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술지 Adaptive and Optimized Agent Placement Scheme for Parallel Agent-based Simulation
Cited 2 time in scopus Download 142 time Share share facebook twitter linkedin kakaostory
저자
진기성, 이상민, 김영철
발행일
202204
출처
ETRI Journal, v.44 no.2, pp.313-326
ISSN
1225-6463
출판사
한국전자통신연구원 (ETRI)
DOI
https://dx.doi.org/10.4218/etrij.2020-0399
협약과제
20HS1500, 과학적 정책 수립을 위한 도시행정 디지털트윈 핵심 기술 개발, 정영준
초록
This study presents a noble scheme for distributed and parallel simulations with optimized agent placement for simulation instances. The traditional parallel simulation has some limitations in that it does not provide sufficient performance even though using multiple resources. The main reason for this discrepancy is that supporting parallelism inevitably requires additional costs in addition to the base simulation cost. We present a comprehensive study of parallel simulation architectures, execution flows, and characteristics. Then, we identify critical challenges for optimizing large simulations for parallel instances. Based on our cost?밷enefit analysis, we propose a novel approach to overcome the performance constraints of agent-based parallel simulations. We also propose a solution for eliminating the synchronizing cost among local instances. Our method ensures balanced performance through optimal deployment of agents to local instances and an adaptive agent placement scheme according to the simulation load. Additionally, our empirical evaluation reveals that the proposed model achieves better performance than conventional methods under several conditions.
KSP 제안 키워드
Adaptive agent, Agent placement, Balanced performance, Comprehensive study, Conventional methods, Empirical Evaluation, Multiple resources, Novel approach, Optimal deployment, Parallel Simulation, Performance constraints
본 저작물은 공공누리 제4유형 : 출처표시 + 상업적 이용금지 + 변경금지 조건에 따라 이용할 수 있습니다.
제4유형