DocumentCode :
1966680
Title :
Towards Online Localization and Recovery for Faulty Components in Component-Based Applications
Author :
You, Chao ; Zhou, Minghui ; Lin, Hongwu ; Xiao, Zan ; Mei, Hong
Author_Institution :
Key Lab. of High Confidence Software Technol., Peking Univ., Beijing, China
fYear :
2012
fDate :
16-20 July 2012
Firstpage :
138
Lastpage :
147
Abstract :
Off-The-Shelf (COTS) software components have been extensively used by applications over the world. However, COTS components always carry issues that might and sometimes only take place at runtime, in particular, when combined with other components. This might bring serious trouble for the application´s dependability. Based on the industry experiences that lots of faulty components usually occupy excessive resources, this paper proposes an approach to localize the faulty components in an application automatically through analyzing the resource usage of components. Once a faulty component interferes with the application´s performance, our approach generates an anomaly report, localizes the faulty component, and enables component level recovery to remove the negative impact. We have implemented a prototype and demonstrated its effectiveness on the well-known JPetStore benchmark with performance overhead of less than 3%.
Keywords :
object-oriented programming; software fault tolerance; software performance evaluation; COTS components; COTS software components; JPetStore benchmark; anomaly report; component-based applications; faulty components; off-the-shelf; online localization; online recovery; Instruction sets; Java; Measurement; Monitoring; Runtime; Time factors; anomaly detection; component level resource monitoring; faulty components localization; recovery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Software and Applications Conference (COMPSAC), 2012 IEEE 36th Annual
Conference_Location :
Izmir
ISSN :
0730-3157
Print_ISBN :
978-1-4673-1990-4
Electronic_ISBN :
0730-3157
Type :
conf
DOI :
10.1109/COMPSAC.2012.13
Filename :
6340136
Link To Document :
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