Title :
A Symptoms Extraction Method for Self-Management based on Decomposition of Disturbances
Author :
Perazolo, Marcelo
Author_Institution :
Autonomic Computing Group, IBM Corporation, RTP, NC, mperazol@us.ibm.com
Abstract :
In this paper we present a simple but effective methodology based on the decomposition of system test disturbances and their associated incidents in order to create complex symptoms that can be used in the enablement of a completely autonomic solution and be used for self-management purposes
Keywords :
computer network management; completely autonomic solution; complex symptoms creation; self-management purposes; symptoms extraction method; system test disturbance decomposition; Art; Automatic testing; Databases; Indium tin oxide; Network address translation; Sociotechnical systems; autonomic computing; disturbances; problem determination; self-management; symptoms;
Conference_Titel :
Network Operations and Management Symposium, 2006. NOMS 2006. 10th IEEE/IFIP
Conference_Location :
Vancouver, BC
Print_ISBN :
1-4244-0142-9
DOI :
10.1109/NOMS.2006.1687648
