NDLI: Analysis of service diagnosis improvement through increased monitoring granularity

Content Provider	Springer Nature Link
Author	Chen, Cuiting Gross, Hans Gerhard Zaidman, Andy
Copyright Year	2015
Abstract	Due to their loosely coupled and highly dynamic nature, service-oriented systems offer many benefits for realizing fault tolerance and supporting trustworthy computing. They enable automatic system reconfiguration when a faulty service is detected. Spectrum-based fault localization (SFL) is a statistics-based diagnosis technique that can be effectively applied to pinpoint problematic services. However, SFL exhibits poor performance in diagnosing services which are tightly interacted. Previous research suggests that an increase in the number of monitoring locations may improve the diagnosability for tight interaction. In this paper, we analyze the trade-offs between the diagnosis improvement through increased monitoring granularity and the overhead caused by the introduction of more monitors, when diagnosing tightly interacted faulty services. We apply SFL in a service-based system, for which we show that 100 % correct identification of faulty services can be achieved through the increased monitoring granularity. We assess the overhead with increased monitoring granularity and compare this with the original monitoring setup. Our experimental results show that the monitoring at the service communication level causes relatively high overhead, whereas the monitoring overhead at a finer level of granularity, i.e., at the service implementation level, is much lower, but highly dependent on the number of monitors deployed.
Starting Page	437
Ending Page	471
Page Count	35
File Format	PDF
ISSN	09639314
Journal	Software Quality Journal
Volume Number	25
Issue Number	2
e-ISSN	15731367
Language	English
Publisher	Springer US
Publisher Date	2015-08-14
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Residual defect Fault localization Online monitoring Simulator Service framework Software Engineering/Programming and Operating Systems Programming Languages, Compilers, Interpreters Data Structures, Cryptology and Information Theory Operating Systems
Content Type	Text
Resource Type	Article
Subject	Safety, Risk, Reliability and Quality Media Technology Software

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