DocumentCode :
3782883
Title :
Modeling and analysis of software aging and rejuvenation
Author :
K.S. Trivedi;K. Vaidyanathan;K. Goseva-Popstojanova
Author_Institution :
Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA
fYear :
2000
Firstpage :
270
Lastpage :
279
Abstract :
Software systems are known to suffer from outages due to transient errors. Recently, the phenomenon of "software aging", one in which the state of the software system degrades with time, has been reported. To counteract this phenomenon, a proactive approach of fault management, called "software rejuvenation", has been proposed. This essentially involves gracefully terminating an application or a system and restarting it in a clean internal state. We discuss stochastic models to evaluate the effectiveness of proactive fault management in operational software systems and determine optimal times to perform rejuvenation, for different scenarios. The latter part of the paper deals with measurement-based methodologies to detect software aging and estimate its effect on various system resources. Models are constructed using workload and resource usage data collected from the UNIX operating system over a period of time. The measurement-based models are intended to help development of strategies for software rejuvenation triggered by actual measurements.
Keywords :
"Aging","Application software","Software testing","Read only memory","Availability","System testing","Computer errors","Software reliability","Environmental economics","Humans"
Publisher :
ieee
Conference_Titel :
Simulation Symposium, 2000. (SS 2000) Proceedings. 33rd Annual
ISSN :
1080-241X
Print_ISBN :
0-7695-0598-8
Type :
conf
DOI :
10.1109/SIMSYM.2000.844925
Filename :
844925
Link To Document :
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