Correlating QoE and Technical Parameters of an SAP System in an Enterprise Environment

Kathrin Borchert; Matthias Hirth; Thomas Zinner; Decebal Constantin Mocanu

doi:10.1109/ITC-28.2016.314

Correlating QoE and Technical Parameters of an SAP System in an Enterprise Environment

Kathrin Borchert, Matthias Hirth, Thomas Zinner, Decebal Constantin Mocanu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

6 Citations (Scopus)

Abstract

The impact of waiting times on the Quality of Experience (QoE) in enterprise and working environments has not been in the focus of current research. This mostly stems from two factors: i) the high complexity of enterprise systems exacerbates the exact monitoring of relevant application response times on user granularity and ii) disturbances of the day-to-day business by user studies resulting in additional costs due nonproductive times. This paper approaches these challenges by combining non-intrusive application monitoring of response times and subjective user ratings on the perceived application performance. We evaluate the possibility of predicting the QoE based on the objective measurements using different machine learning approaches. The results imply a high correlation for specific users, but do not allow to derive a generic model.

Original language	English
Title of host publication	Proceedings of the Fourth International IEEE Workshop on Quality of Experience Centric Management
Subtitle of host publication	Proceedings of the Fourth International IEEE Workshop on Quality of Experience Centric Management
Editors	Tobias Hossfeld, Brian L. Mark, Gary Chan, Andreas Timm-Giel
Publisher	IEEE
Pages	34-36
Number of pages	3
Volume	3
ISBN (Electronic)	978-0-9883-0451-2
ISBN (Print)	978-1-5090-1304-3
DOIs	https://doi.org/10.1109/ITC-28.2016.314
Publication status	Published - 2 Jul 2016
Externally published	Yes
Event	28th International Teletraffic Congress, ITC 2016 - Wurzburg, Germany Duration: 12 Sep 2016 → 16 Sep 2016

Conference

Conference	28th International Teletraffic Congress, ITC 2016
Country	Germany
City	Wurzburg
Period	12/09/16 → 16/09/16

Access to Document

10.1109/ITC-28.2016.314

Link to publication in Scopus

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Borchert, K., Hirth, M., Zinner, T., & Mocanu, D. C. (2016). Correlating QoE and Technical Parameters of an SAP System in an Enterprise Environment. In T. Hossfeld, B. L. Mark, G. Chan, & A. Timm-Giel (Eds.), Proceedings of the Fourth International IEEE Workshop on Quality of Experience Centric Management: Proceedings of the Fourth International IEEE Workshop on Quality of Experience Centric Management (Vol. 3, pp. 34-36). [7810716] IEEE. https://doi.org/10.1109/ITC-28.2016.314

Borchert, Kathrin ; Hirth, Matthias ; Zinner, Thomas ; Mocanu, Decebal Constantin. / Correlating QoE and Technical Parameters of an SAP System in an Enterprise Environment. Proceedings of the Fourth International IEEE Workshop on Quality of Experience Centric Management: Proceedings of the Fourth International IEEE Workshop on Quality of Experience Centric Management. editor / Tobias Hossfeld ; Brian L. Mark ; Gary Chan ; Andreas Timm-Giel. Vol. 3 IEEE, 2016. pp. 34-36

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title = "Correlating QoE and Technical Parameters of an SAP System in an Enterprise Environment",

abstract = "The impact of waiting times on the Quality of Experience (QoE) in enterprise and working environments has not been in the focus of current research. This mostly stems from two factors: i) the high complexity of enterprise systems exacerbates the exact monitoring of relevant application response times on user granularity and ii) disturbances of the day-to-day business by user studies resulting in additional costs due nonproductive times. This paper approaches these challenges by combining non-intrusive application monitoring of response times and subjective user ratings on the perceived application performance. We evaluate the possibility of predicting the QoE based on the objective measurements using different machine learning approaches. The results imply a high correlation for specific users, but do not allow to derive a generic model.",

author = "Kathrin Borchert and Matthias Hirth and Thomas Zinner and Mocanu, {Decebal Constantin}",

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booktitle = "Proceedings of the Fourth International IEEE Workshop on Quality of Experience Centric Management",

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Borchert, K, Hirth, M, Zinner, T & Mocanu, DC 2016, Correlating QoE and Technical Parameters of an SAP System in an Enterprise Environment. in T Hossfeld, BL Mark, G Chan & A Timm-Giel (eds), Proceedings of the Fourth International IEEE Workshop on Quality of Experience Centric Management: Proceedings of the Fourth International IEEE Workshop on Quality of Experience Centric Management. vol. 3, 7810716, IEEE, pp. 34-36, 28th International Teletraffic Congress, ITC 2016, Wurzburg, Germany, 12/09/16. https://doi.org/10.1109/ITC-28.2016.314

Correlating QoE and Technical Parameters of an SAP System in an Enterprise Environment. / Borchert, Kathrin; Hirth, Matthias; Zinner, Thomas; Mocanu, Decebal Constantin.

Proceedings of the Fourth International IEEE Workshop on Quality of Experience Centric Management: Proceedings of the Fourth International IEEE Workshop on Quality of Experience Centric Management. ed. / Tobias Hossfeld; Brian L. Mark; Gary Chan; Andreas Timm-Giel. Vol. 3 IEEE, 2016. p. 34-36 7810716.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - The impact of waiting times on the Quality of Experience (QoE) in enterprise and working environments has not been in the focus of current research. This mostly stems from two factors: i) the high complexity of enterprise systems exacerbates the exact monitoring of relevant application response times on user granularity and ii) disturbances of the day-to-day business by user studies resulting in additional costs due nonproductive times. This paper approaches these challenges by combining non-intrusive application monitoring of response times and subjective user ratings on the perceived application performance. We evaluate the possibility of predicting the QoE based on the objective measurements using different machine learning approaches. The results imply a high correlation for specific users, but do not allow to derive a generic model.

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Borchert K, Hirth M, Zinner T, Mocanu DC. Correlating QoE and Technical Parameters of an SAP System in an Enterprise Environment. In Hossfeld T, Mark BL, Chan G, Timm-Giel A, editors, Proceedings of the Fourth International IEEE Workshop on Quality of Experience Centric Management: Proceedings of the Fourth International IEEE Workshop on Quality of Experience Centric Management. Vol. 3. IEEE. 2016. p. 34-36. 7810716 https://doi.org/10.1109/ITC-28.2016.314