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Authors: Asia Al-karkhi and Maria Fasli

Affiliation: Essex university, United Kingdom

Keyword(s): Disruption, Multi-agent System, Organisation, Head, Henchman Recovery Protocol, Service Provider.

Related Ontology Subjects/Areas/Topics: Agent Models and Architectures ; Agents ; AI and Creativity ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Bioinformatics ; Biomedical Engineering ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Human-Computer Interaction ; Information Systems Analysis and Specification ; Intelligent User Interfaces ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Methodologies and Technologies ; Multi-Agent Systems ; Operational Research ; Self Organizing Systems ; Simulation ; Soft Computing ; Software Engineering ; Symbolic Systems

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 several formats:
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 1: ICAART; ISBN 978-989-758-275-2; ISSN 2184-433X, SciTePress, pages 371-378. DOI: 10.5220/0006574203710378

@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 1: ICAART},
year={2018},
pages={371-378},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006574203710378},
isbn={978-989-758-275-2},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - Disruption Recovery within Agent Organisations in Distributed Systems
SN - 978-989-758-275-2
IS - 2184-433X
AU - Al-karkhi, A.
AU - Fasli, M.
PY - 2018
SP - 371
EP - 378
DO - 10.5220/0006574203710378
PB - SciTePress