DARX - A Self-Healing Framework for Agents

Olivier Marin 1 Marin Bertier Pierre Sens 1 Zahia Guessoum 2 Jean-Pierre Briot 2
1 Regal - Large-Scale Distributed Systems and Applications
LIP6 - Laboratoire d'Informatique de Paris 6, Inria Paris-Rocquencourt
2 SMA - Systèmes Multi-Agents
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : This paper presents DARX, our framework for building failure- resilient applications through adaptive fault tolerance. It relies on the fact that multi-agent platforms constitute a very strong basis for decentralized software that is both flexible and scalable, and makes the assumption that the relative importance of each agent varies during the course of the computation. DARX regroups solutions which facilitate the creation of multi-agent applications in a large-scale context. Its most important feature is adaptive replication: replication strategies are applied on a per-agent basis with respect to transient environment characteristics such as the importance of the agent for the computation, the network load or the mean time between failures. Firstly, the interwoven concerns of multi-agent systems and fault-tolerant solutions are put forward. An overview of the DARX architecture follows, as well as an evaluation of its performances. We conclude, after outlining the promising outcomes, by presenting prospective work.
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https://hal.archives-ouvertes.fr/hal-01336252
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Submitted on : Wednesday, June 22, 2016 - 5:21:43 PM
Last modification on : Thursday, March 21, 2019 - 1:05:14 PM

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Olivier Marin, Marin Bertier, Pierre Sens, Zahia Guessoum, Jean-Pierre Briot. DARX - A Self-Healing Framework for Agents. Reliable Systems on Unreliable Networked Platforms, Revised Selected Papers of the 12th Monterey Workshop, 4322, Springer-Verlag, pp.88-105, 2007, Lecture Notes in Computer Science (LNCS), 978-3-540-71155-1. ⟨10.1007/978-3-540-71156-8_5⟩. ⟨hal-01336252⟩

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