Title
Autonomic Fault Identification for Ubiquitous Self Healing Systems
Abstract
In this paper we report the results of our experiments conducted for fault identification in self healing systems. The proposed scheme is designed to identify faults in a large-scale system where frequent faults can increase downtime. The experiments show that the scheme proposed has linear computational complexity and highly portable.
Year
DOI
Venue
2010
10.1109/UIC-ATC.2010.84
Ubiquitous Intelligence & Computing and 7th International Conference Autonomic & Trusted Computing
Keywords
Field
DocType
ubiquitous self healing systems,autonomic fault identification,proposed scheme,fault identification,linear computational complexity,self healing system,large-scale system,frequent fault,indexes,xml,ubiquitous computing,cognition,computational complexity,fault detection,computational modeling
Self-healing,XML,Fault detection and isolation,Computer science,Real-time computing,Software,Ubiquitous computing,Downtime,Computational complexity theory,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-0-7695-4272-0
0
0.34
References 
Authors
1
2
Name
Order
Citations
PageRank
Junaid Ahsenali Chaudhry15914.78
Muhammad Imran258137.91