Exception diagnosis in agent-based grid computing

Laing, Christopher and Muhammad, Younas (2004) Exception diagnosis in agent-based grid computing. In: 2004 IEEE International Conference on Systems, Man and Cybernetics, 10-13 October 2004, The Hague, The Netherlands.

Full text not available from this repository. (Request a copy)
Official URL: http://dx.doi.org/10.1109/ICSMC.2004.1400835

Abstract

Diagnosing exceptions in multi-agent systems (MAS) is a complex task due to the distributed nature of the data and control in such systems. This complexity is exacerbated in open environments where independently developed autonomous agents interact with each other in order to achieve their goals. Inevitably, exceptions would occur in such MAS and these exceptions can arise at one of three levels, namely environmental, knowledge and social levels. In this paper we propose a novel exception diagnosis system that is able to analyse and detect exceptions effectively. The proposed architecture consists of specialised exception diagnosis agents called sentinel agents. The sentinel agents are equipped with knowledge of observable abnormal situations, their underlying causes, and resolution strategies associated with these causes. The sentinel agent applies a heuristic classification approach to collect related data from affected agents in order to uncover the underlying causes of the observed symptoms. We illustrate and evaluate our proposed architecture using an agent-based grid computing case study.

Item Type: Conference or Workshop Item (Paper)
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer Science and Digital Technologies
Depositing User: Christopher Laing
Date Deposited: 16 Apr 2013 15:27
Last Modified: 10 Aug 2015 11:32
URI: http://nrl.northumbria.ac.uk/id/eprint/12091

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics


Policies: NRL Policies | NRL University Deposit Policy | NRL Deposit Licence