Communicating sequential processes
Communicating sequential processes
Unreliable failure detectors for reliable distributed systems
Journal of the ACM (JACM)
Horus: a flexible group communication system
Communications of the ACM
Chameleon: A Software Infrastructure for Adaptive Fault Tolerance
IEEE Transactions on Parallel and Distributed Systems
Improving fault-tolerance by replicating agents
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
From Active Objects to Autonomous Agents
IEEE Concurrency
MASIF: The OMG Mobile Agent System Interoperability Facility
MA '98 Proceedings of the Second International Workshop on Mobile Agents
Fault-Tolerant Execution of Mobile Agents
DSN '00 Proceedings of the 2000 International Conference on Dependable Systems and Networks (formerly FTCS-30 and DCCA-8)
FATOMAS-A Fault-Tolerant Mobile Agent System Based on the Agent-Dependent Approach
DSN '01 Proceedings of the 2001 International Conference on Dependable Systems and Networks (formerly: FTCS)
Implementation and Performance Evaluation of an Adaptable Failure Detector
DSN '02 Proceedings of the 2002 International Conference on Dependable Systems and Networks
A Sentinel Approach to Fault Handling in Multi-Agent Systems
Revised Papers from the Second Australian Workshop on Distributed Artificial Intelligence: Multi-Agent Systems: Methodologies and Applications
The Adaptive Agent Architecture: Achieving Fault-Tolerance Using Persistent Broker Teams
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
SELMAS '05 Proceedings of the fourth international workshop on Software engineering for large-scale multi-agent systems
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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.