Statistical detection of QoS violations based on CUSUM control charts

@inproceedings{Amin2012StatisticalDO,
  title={Statistical detection of QoS violations based on CUSUM control charts},
  author={Ayman Amin and Alan W. Colman and Lars Grunske},
  booktitle={ICPE},
  year={2012}
}
Currently software systems operate in highly dynamic contexts, and consequently they have to adapt their behavior in response to changes in their contexts or/and requirements. Existing approaches trigger adaptations after detecting violations in quality of service (QoS) requirements by just comparing observed QoS values to predefined thresholds without any statistical confidence or certainty. These threshold-based adaptation approaches may perform unnecessary adaptations, which can lead to… CONTINUE READING
Highly Cited
This paper has 18 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-9 of 9 extracted citations

EWMA Control Charts for Statistical Detecting QoS Violations

2015 IEEE 12th International Conference on e-Business Engineering • 2015
View 3 Excerpts
Highly Influenced

Adaptive Anomaly Detection in Performance Metric Streams

IEEE Transactions on Network and Service Management • 2018
View 1 Excerpt

An automated approach to forecasting QoS attributes based on linear and non-linear time series modeling

2012 Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering • 2012
View 1 Excerpt

References

Publications referenced by this paper.
Showing 1-3 of 3 references

Economic control of quality of manufactured product

W. A. Shewhart
New York: Van Nostrand • 1931
View 9 Excerpts
Highly Influenced

An autonomic framework for service configuration

P. Thongtra, F. A. Aagesen
Proceedings of the Sixth International Multi-Conference on Computing in the Global Information Technology, pages 116–124 • 2011
View 5 Excerpts
Highly Influenced

Cumulative Sum Charts and Charting for Quality Improvement

Technometrics • 2001
View 6 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…