Autonomic computing systems: Using AI techniques for the development of agents in the network management domain

• Type: Article in International Scientific Journal
• Date: 2006

Authors

de franceschi, asm (Author) Other; borges, ks (Author) Other; moraes, r (Author) Other; vasques, f (Author) FEUP

Journal

Title: WSEAS Transactions on Communications

Vol. 5 No. 8

Pages: 1353-1360

ISSN: 1109-2742

Publisher: World Scientific and Engineering Academy and Society (WSEAS) Press

Indexing

ISI Proceedings

ISI Web of Knowledge

ISI Web of Science

Scopus - 3 Citations

COMPENDEX

SIIC Data Bases

INSPEC

Scientific classification

CORDIS: Technological sciences > Engineering

Other information

Authenticus ID: P-007-G0R

Resumo (PT): -

Abstract (EN): The eagerness of Internet and Intranet computing applications has fueled the complexity of the network administration tasks. Nowadays, the network management tools have usually insufficient resources to monitor the complexity of computer networks. The majority of the agents used in computer networks are passive agents, i.e., they have no autonomy, nor participate in the decision-making procedures. We have assessed multiple artificial intelligence (AI) techniques to improve network management systems, according to the autonomic computing concept introduced by IBM. In this paper, we present a methodology for agent's development based on artificial intelligence techniques. The reported results show that the proposed methodology is adequate to support the development of active agents.

Language: English

Type (Professor's evaluation): Scientific

Notes: http://www.bldss.bl.uk/BLDSS/?searchRecordID=ETOCRN192044878#/New%20Order/0

No. of pages: 8