Abstract
| Language | English |
|---|---|
| Pages | 727-739 |
| Journal | Engineering Applications of Artificial Intelligence |
| Volume | 17 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - Oct 2004 |
Fingerprint
Cite this
}
Autonomic Networks: Engineering the Self-Healing Property. / Sterritt, R.
In: Engineering Applications of Artificial Intelligence, 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
JO - Engineering Applications of Artificial Intelligence
T2 - Engineering Applications of Artificial Intelligence
JF - Engineering Applications of Artificial Intelligence
SN - 0952-1976
IS - 7
ER -
