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
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;
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
DOI :
10.1109/UIC-ATC.2010.84
