The University of Southampton
University of Southampton Institutional Repository

Implementing policy management through BDI

Implementing policy management through BDI
Implementing policy management through BDI
The requirement for Grid middleware to be largely transparent to individual users and at the same time act in accordance with their personal needs is a difficult challenge. In e-science scenarios, users cannot be repeatedly interrogated for each operational decision made when enacting experiments on the Grid. It is thus important to specify and enforce policies that enable the environment to be configured to take user preferences into account automatically. In particular, we need to consider the context in which these policies are applied, because decisions are based not only on the rules of the policy but also on the current state of the system. Consideration of context is explicitly addressed, in the agent perspective, when deciding how to balance the achievement of goals and reaction to the environment. One commonly-applied abstraction that balances reaction to multiple events with context-based reasoning in the way suggested by our requirements is the belief-desire-intention (BDI) architecture, which has proven successful in many applications. In this paper, we argue that BDI is an appropriate model for policy enforcement, and describe the application of BDI to policy enforcement in personalising Grid service discovery. We show how this has been implemented in the myGrid registry to provide bioinformaticians with control over the services returned to them by the service discovery process.
Miles, S
568a5102-aae4-4a2d-8b10-bfcbe03dd909
Papay, J
21652b35-de29-439c-b343-cb3437ef2f9e
Luck, M
a1457127-1c37-42d3-95a1-0cdef830f611
Moreau, L
033c63dd-3fe9-4040-849f-dfccbe0406f8
Miles, S
568a5102-aae4-4a2d-8b10-bfcbe03dd909
Papay, J
21652b35-de29-439c-b343-cb3437ef2f9e
Luck, M
a1457127-1c37-42d3-95a1-0cdef830f611
Moreau, L
033c63dd-3fe9-4040-849f-dfccbe0406f8

Miles, S, Papay, J, Luck, M and Moreau, L (2004) Implementing policy management through BDI. The Twenty-third SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence.

Record type: Conference or Workshop Item (Paper)

Abstract

The requirement for Grid middleware to be largely transparent to individual users and at the same time act in accordance with their personal needs is a difficult challenge. In e-science scenarios, users cannot be repeatedly interrogated for each operational decision made when enacting experiments on the Grid. It is thus important to specify and enforce policies that enable the environment to be configured to take user preferences into account automatically. In particular, we need to consider the context in which these policies are applied, because decisions are based not only on the rules of the policy but also on the current state of the system. Consideration of context is explicitly addressed, in the agent perspective, when deciding how to balance the achievement of goals and reaction to the environment. One commonly-applied abstraction that balances reaction to multiple events with context-based reasoning in the way suggested by our requirements is the belief-desire-intention (BDI) architecture, which has proven successful in many applications. In this paper, we argue that BDI is an appropriate model for policy enforcement, and describe the application of BDI to policy enforcement in personalising Grid service discovery. We show how this has been implemented in the myGrid registry to provide bioinformaticians with control over the services returned to them by the service discovery process.

PDF
sgai04implementing - Accepted Manuscript
Download (112kB)

More information

Published date: 2004
Venue - Dates: The Twenty-third SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, 2004-01-01
Organisations: Web & Internet Science, Electronics & Computer Science, IT Innovation

Identifiers

Local EPrints ID: 261917
URI: https://eprints.soton.ac.uk/id/eprint/261917
PURE UUID: 5391c1c9-2c75-4414-bfbc-ba758683a9c8
ORCID for L Moreau: ORCID iD orcid.org/0000-0002-3494-120X

Catalogue record

Date deposited: 10 Feb 2006
Last modified: 06 Jun 2018 13:03

Export record

Contributors

Author: S Miles
Author: J Papay
Author: M Luck
Author: L Moreau ORCID iD

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×