A Communication Schema for Parallel and Distributed Multi-agent Systems Based on MPI

被引:2
|
作者
Rousset, Alban [1 ]
Herrmann, Benedicte [1 ]
Lang, Christophe [1 ]
Philippe, Laurent [1 ]
机构
[1] Univ Franche Comte, CNRS, FemtoST Inst, F-25030 Besancon, France
关键词
Multi-Agent simulation; Parallelism; Communication schema;
D O I
10.1007/978-3-319-27308-2_36
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The interest for Multi-Agents Systems (MAS) grows rapidly and especially in order to simulate and observe large and complex systems. Centralized machines do not however offer enough capacity to simulate the large models and parallel clusters can overcome these limits. Nevertheless, the use of parallel clusters implies constraints such as mono-threaded process of execution, reproducibility or coherency. In this paper, our contribution is a MPI based communication schema for Parallel and Distributed MAS (PDMAS) that fits High Performance Computing (HPC) on cluster requirements. Our communication schema thus integrates agent migration between processes and it guarantees message delivery in case of agent migration.
引用
收藏
页码:442 / 453
页数:12
相关论文
共 50 条
  • [1] A Survey on Parallel and Distributed Multi-Agent Systems
    Rousset, Alban
    Herrmann, Benedicte
    Lang, Christophe
    Philippe, Laurent
    [J]. EURO-PAR 2014: PARALLEL PROCESSING WORKSHOPS, PT I, 2014, 8805 : 371 - 382
  • [2] Efficient Secure Communication for Distributed Multi-Agent Systems
    Costa, Davide
    Garrido, Daniel
    Silva, Daniel Castro
    [J]. ICAART: PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE - VOL 1, 2021, : 543 - 552
  • [3] Logarithmic Communication for Distributed Optimization in Multi-Agent Systems
    London, Palma
    Vardi, Shai
    Wierman, Adam
    [J]. PROCEEDINGS OF THE ACM ON MEASUREMENT AND ANALYSIS OF COMPUTING SYSTEMS, 2019, 3 (03)
  • [4] A parallel distributed supervision strategy for multi-agent networked systems
    Casavola, Alessandro
    Garone, Emanuele
    Tedesco, Francesco
    [J]. SYSTEMS & CONTROL LETTERS, 2016, 97 : 115 - 124
  • [5] Multi-tier communication abstractions for distributed multi-agent systems
    Thome, M
    [J]. INTERNATIONAL CONFERENCE ON INTEGRATION OF KNOWLEDGE INTENSIVE MULTI-AGENT SYSTEMS: KIMAS'03: MODELING, EXPLORATION, AND ENGINEERING, 2003, : 209 - 214
  • [6] Distributed Control of Multi-Agent Systems With Uncertain Communication Links
    Firouzmand, Elnaz
    Babahaji, Mina
    Talebi, H. A.
    Aghdam, Amir G.
    [J]. IEEE JOURNAL OF RADIO FREQUENCY IDENTIFICATION, 2023, 7 : 415 - 423
  • [7] A distributed optimization algorithm for multi-agent systems with limited communication
    Li, Tai-Fang
    Li, Huan
    [J]. PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020), 2020, : 622 - 625
  • [8] Multi-Agent Reinforcement Learning With Distributed Targeted Multi-Agent Communication
    Xu, Chi
    Zhang, Hui
    Zhang, Ya
    [J]. 2023 35TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC, 2023, : 2915 - 2920
  • [9] Using nested graphs to distribute Parallel and Distributed Multi-Agent Systems
    Rousset, Alban
    Herrmann, Benedicte
    Lang, Christophe
    Philippe, Laurent
    Bride, Hadrien
    [J]. 2016 24TH EUROMICRO INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, AND NETWORK-BASED PROCESSING (PDP), 2016, : 710 - 717
  • [10] Distributed optimal consensus of multi-agent systems: A randomized parallel approach
    Bai, Nan
    Duan, Zhisheng
    Wang, Qishao
    [J]. AUTOMATICA, 2024, 159