Disruption Recovery within Agent Organisations in Distributed Systems

Asia Al-karkhi, Maria Fasli

Abstract

One of the challenging problems in distributed systems is dealing with agent failure. In this paper, we present an approach for task recovery in a distributed system where the agents self-organise themselves in organisations in order to execute tasks more efficiently. However, within this setting, unpredictable events can happen and agents can fail leading to task failure and weaker overall system performance. We present the Henchman recovery protocol which enables the agents within an organisation to maintain task execution and recover tasks in the event of agent failure. We show how the protocol helps to maintain the efficiency of the created organisations through a series of experiments in a simulated distributed task execution system which has been implemented in Repast Simphony. The experimental results demonstrate the robustness of the proposed solution in a number of settings.

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Paper Citation


in Harvard Style

Al-karkhi A. and Fasli M. (2018). Disruption Recovery within Agent Organisations in Distributed Systems.In Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-275-2, pages 371-378. DOI: 10.5220/0006574203710378


in Bibtex Style

@conference{icaart18,
author={Asia Al-karkhi and Maria Fasli},
title={Disruption Recovery within Agent Organisations in Distributed Systems},
booktitle={Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2018},
pages={371-378},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006574203710378},
isbn={978-989-758-275-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Disruption Recovery within Agent Organisations in Distributed Systems
SN - 978-989-758-275-2
AU - Al-karkhi A.
AU - Fasli M.
PY - 2018
SP - 371
EP - 378
DO - 10.5220/0006574203710378