Autonomic Networks: Engineering the Self-Healing Property

R Sterritt

Research output: Contribution to journal › Article

Abstract

As the size and complexity of networks and communications continue to grow, there is a heightened need to develop new techniques capable of achieving a level of service with successful operations upon which users can place even more reliance. Key emerging strategies for meeting this demand is ‘autonomic networks’ and ‘autonomic communications’, concepts similar to autonomic computing while specific to the communications field. This paper considers the ‘self-healing’ aspect of autonomic networks, examining, in particular, techniques for event correlation to aid fault identification. A three-tier rule-discovery framework and associated support and analysis tools are described. These assist with the development, management and maintenance of correlation rules and beliefs.
LanguageEnglish
Pages727-739
JournalEngineering Applications of Artificial Intelligence
Volume17
Issue number7
DOIs
Publication statusPublished - Oct 2004

Fingerprint

Communication

Cite this

Sterritt, R. / Autonomic Networks: Engineering the Self-Healing Property. 2004 ; Vol. 17, No. 7. pp. 727-739.
@article{1738282bc0b04a73b19880963d9c7d94,
title = "Autonomic Networks: Engineering the Self-Healing Property",
abstract = "As the size and complexity of networks and communications continue to grow, there is a heightened need to develop new techniques capable of achieving a level of service with successful operations upon which users can place even more reliance. Key emerging strategies for meeting this demand is ‘autonomic networks’ and ‘autonomic communications’, concepts similar to autonomic computing while specific to the communications field. This paper considers the ‘self-healing’ aspect of autonomic networks, examining, in particular, techniques for event correlation to aid fault identification. A three-tier rule-discovery framework and associated support and analysis tools are described. These assist with the development, management and maintenance of correlation rules and beliefs.",
author = "R Sterritt",
year = "2004",
month = "10",
doi = "10.1016/j.engappai.2004.08.028",
language = "English",
volume = "17",
pages = "727--739",
number = "7",

}

Sterritt, R 2004, 'Autonomic Networks: Engineering the Self-Healing Property', vol. 17, no. 7, pp. 727-739. https://doi.org/10.1016/j.engappai.2004.08.028

Autonomic Networks: Engineering the Self-Healing Property. / Sterritt, R.

Vol. 17, No. 7, 10.2004, p. 727-739.

Research output: Contribution to journal › Article

TY - JOUR

T1 - Autonomic Networks: Engineering the Self-Healing Property

AU - Sterritt, R

PY - 2004/10

Y1 - 2004/10

N2 - As the size and complexity of networks and communications continue to grow, there is a heightened need to develop new techniques capable of achieving a level of service with successful operations upon which users can place even more reliance. Key emerging strategies for meeting this demand is ‘autonomic networks’ and ‘autonomic communications’, concepts similar to autonomic computing while specific to the communications field. This paper considers the ‘self-healing’ aspect of autonomic networks, examining, in particular, techniques for event correlation to aid fault identification. A three-tier rule-discovery framework and associated support and analysis tools are described. These assist with the development, management and maintenance of correlation rules and beliefs.

AB - As the size and complexity of networks and communications continue to grow, there is a heightened need to develop new techniques capable of achieving a level of service with successful operations upon which users can place even more reliance. Key emerging strategies for meeting this demand is ‘autonomic networks’ and ‘autonomic communications’, concepts similar to autonomic computing while specific to the communications field. This paper considers the ‘self-healing’ aspect of autonomic networks, examining, in particular, techniques for event correlation to aid fault identification. A three-tier rule-discovery framework and associated support and analysis tools are described. These assist with the development, management and maintenance of correlation rules and beliefs.

UR - http://www.elsevier.com/locate/engappai

U2 - 10.1016/j.engappai.2004.08.028

DO - 10.1016/j.engappai.2004.08.028

M3 - Article

VL - 17

SP - 727

EP - 739

IS - 7

ER -

Sterritt R. Autonomic Networks: Engineering the Self-Healing Property. 2004 Oct;17(7):727-739. https://doi.org/10.1016/j.engappai.2004.08.028

Access to Document