DocumentCode
1625774
Title
Autonomic Fault Identification for Ubiquitous Self Healing Systems
Author
Chaudhry, Junaid Ahsenali ; Imran, Muhammad
Author_Institution
Dept. of Comput. Sci. & Software Eng., Univ. of Hail, Hail, Saudi Arabia
fYear
2010
Firstpage
370
Lastpage
374
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.
Keywords
computational complexity; fault tolerant computing; large-scale systems; ubiquitous computing; autonomic fault identification; large scale system; linear computational complexity; self healing system; ubiquitous self healing system; Cognition; Computational modeling; Fault detection; Fault diagnosis; Indexes; Software; XML;
fLanguage
English
Publisher
ieee
Conference_Titel
Ubiquitous Intelligence & Computing and 7th International Conference on Autonomic & Trusted Computing (UIC/ATC), 2010 7th International Conference on
Conference_Location
Xian, Shaanxi
Print_ISBN
978-1-4244-9043-1
Electronic_ISBN
978-0-7695-4272-0
Type
conf
DOI
10.1109/UIC-ATC.2010.84
Filename
5667171
Link To Document