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Analysis of service diagnosis improvement through increased monitoring granularity. / Chen, Cuiting; Gross, Hans Gerhard; Zaidman, Andy.

In: Software Quality Journal, Vol. 25, No. 2, 06.2017, p. 437-471.

Research output: Scientific - peer-reviewArticle

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@article{b9c069315393413f8e4c7b9e6587844d,
title = "Analysis of service diagnosis improvement through increased monitoring granularity",
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.",
keywords = "Residual defect, Fault localization, Online monitoring, Simulator, Service framework",
author = "Cuiting Chen and Gross, {Hans Gerhard} and Andy Zaidman",
year = "2017",
month = "6",
doi = "10.1007/s11219-015-9286-2",
volume = "25",
pages = "437--471",
journal = "Software Quality Journal",
issn = "0963-9314",
publisher = "Springer New York",
number = "2",

}

RIS

TY - JOUR

T1 - Analysis of service diagnosis improvement through increased monitoring granularity

AU - Chen,Cuiting

AU - Gross,Hans Gerhard

AU - Zaidman,Andy

PY - 2017/6

Y1 - 2017/6

N2 - 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.

AB - 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.

KW - Residual defect

KW - Fault localization

KW - Online monitoring

KW - Simulator

KW - Service framework

UR - http://resolver.tudelft.nl/uuid:b9c06931-5393-413f-8e4c-7b9e6587844d

U2 - 10.1007/s11219-015-9286-2

DO - 10.1007/s11219-015-9286-2

M3 - Article

VL - 25

SP - 437

EP - 471

JO - Software Quality Journal

T2 - Software Quality Journal

JF - Software Quality Journal

SN - 0963-9314

IS - 2

ER -

ID: 2381113