Title
DARX: a self-healing framework for agents
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.
Year
DOI
Venue
2005
10.1007/978-3-540-71156-8_5
Monterey Workshop
Keywords
Field
DocType
replication strategy,multi-agent application,darx architecture,darx regroups solution,multi-agent system,adaptive fault tolerance,multi-agent platform,per-agent basis,relative importance,adaptive replication,self-healing framework
Self-healing,Mean time between failures,Architecture,Mobile agent,Fault tolerance,Software,Engineering,Computation,Distributed computing,Scalability
Conference
Volume
ISSN
Citations 
4322
0302-9743
0
PageRank 
References 
Authors
0.34
15
5
Name
Order
Citations
PageRank
Olivier Marin126115.28
Marin Bertier238224.31
Pierre Sens352651.65
Zahia Guessoum430944.69
Jean-Pierre Briot562385.90