Un système multi-agent adaptatif pour la réallocation de tâches au sein d'un job MapReduce

Autor: Jean-Christophe Routier, Quentin Baert, Maxime Morge, Kostas Stathis, Anne-Cécile Caron

Publikováno v: Journal of Parallel and Distributed Computing
Journal of Parallel and Distributed Computing, Elsevier, In press, 153, pp.75-88. ⟨10.1016/j.jpdc.2021.03.008⟩
Revue Ouverte d'Intelligence Artificielle
Revue Ouverte d'Intelligence Artificielle, 2022, pp.557-585
Journal of Parallel and Distributed Computing, 2021, 153, pp.75-88. ⟨10.1016/j.jpdc.2021.03.008⟩

We study the problem of task reallocation for load-balancing of MapReduce jobs in applications that process large datasets. In this context, we propose a novel strategy based on cooperative agents used to optimise the task scheduling in a single MapR

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::737d34be2764b88a93c7efb4aad0b773
https://hal.science/hal-03869505

Task Bundle Delegation for Reducing the Flowtime

Autor: Ellie Beauprez, Anne Cécile Caron, Maxime Morge, Jean-Christophe Routier

Publikováno v: Lecture Notes in Computer Science ISBN: 9783031101601
Agents and Artificial Intelligence, 13th International Conference, ICAART 2021, Online streaming, February 4-6, 2021, Revised Selected Papers
Agents and Artificial Intelligence, 13th International Conference, ICAART 2021, Online streaming, February 4-6, 2021, Revised Selected Papers, 13251, Springer International Publishing, pp.22-45, 2022, Lecture Notes in Computer Science, 978-3-031-10160-1. ⟨10.1007/978-3-031-10161-8_2⟩

International audience; In this paper, we study the problem of task reallocation for load-balancing in distributed data processing models that tackle vast amount of data. We propose a strategy based on cooperative agents used to optimize the reschedu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c54101b0c75c85cb4fe220726f58203f
https://doi.org/10.1007/978-3-031-10161-8_2

A Multi-Agent Negotiation Strategy for Reducing the Flowtime

Autor: Maxime Morge, Anne-Cécile Caron, Ellie Beauprez, Jean-Christophe Routier

Publikováno v: 13th International Conference on Agents and Artificial Intelligence
13th International Conference on Agents and Artificial Intelligence, Feb 2021, Online streaming, Portugal. pp.58-68, ⟨10.5220/0010226000580068⟩
ICAART (1)
13th International Conference on Agents and Artificial Intelligence (ICAART)
13th International Conference on Agents and Artificial Intelligence (ICAART), Feb 2021, Online streaming, Portugal. pp.58-68, ⟨10.5220/0010226000580068⟩
HAL

2021; International audience; In this paper, we study the problem of task reallocation for load-balancing in distributed data processing models that tackle vast amount of data. In this context, we propose a novel strategy based on cooperative agents

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2ddd342fd5de2e2b9152ad239aadbc7
https://hal.archives-ouvertes.fr/hal-03015642/document

Stratégie situationnelle pour l'équilibrage de charge

Autor: Quentin Baert, Anne-Cécile CARON, Maxime Morge, Jean-Christophe Routier, Kostas Stathis

Publikováno v: Vingt-septièmes journées francophones sur les systèmes multi-agents (JFSMA)
Vingt-septièmes journées francophones sur les systèmes multi-agents (JFSMA), Jul 2019, Toulouse, France. pp.9-18
HAL

National audience; We study a novel location-aware strategy for distributed systems where cooperating agents perform the load-balancing. The strategy allows agents to identify opportunities within a current unbalanced allocation, which in turn trigge

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c615ac7b13059d9a9ea200a10373b5b0
https://hal.science/hal-02173687

Fair multi-agent task allocation for large datasets analysis

Autor: Jean-Christophe Routier, Maxime Morge, Quentin Baert, Anne-Cécile Caron

Publikováno v: Knowledge and Information Systems (KAIS)
Knowledge and Information Systems (KAIS), 2018, 54 (3), pp.591-615. ⟨10.1007/s10115-017-1087-4⟩
Knowledge and Information Systems (KAIS), Springer, 2018, 54 (3), pp.591-615. ⟨10.1007/s10115-017-1087-4⟩

International audience; MapReduce is a design pattern for processing large datasets distributed on a cluster. Its performances are linked to the data structure and the runtime environment. Indeed, data skew can yield an unfair task allocation, but ev

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fe2ceb0311a9015e031b707db295ba3
https://inria.hal.science/hal-01567428