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

7 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/Territory	Germany
City	Wurzburg
Period	12/09/16 → 16/09/16

Access to Document

10.1109/ITC-28.2016.314

Cite this

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 et al. / 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

@inproceedings{a984556819bf4668be27b886e9a7637b,

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}",

year = "2016",

month = jul,

day = "2",

doi = "10.1109/ITC-28.2016.314",

language = "English",

isbn = "978-1-5090-1304-3",

volume = "3",

pages = "34--36",

editor = "Tobias Hossfeld and Mark, {Brian L.} and Gary Chan and Andreas Timm-Giel",

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

publisher = "IEEE",

address = "United States",

note = "28th International Teletraffic Congress, ITC 2016 ; Conference date: 12-09-2016 Through 16-09-2016",

}

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 et al.

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

TY - GEN

T1 - Correlating QoE and Technical Parameters of an SAP System in an Enterprise Environment

AU - Borchert, Kathrin

AU - Hirth, Matthias

AU - Zinner, Thomas

AU - Mocanu, Decebal Constantin

PY - 2016/7/2

Y1 - 2016/7/2

N2 - 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.

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.

UR - http://www.scopus.com/inward/record.url?scp=85013028949&partnerID=8YFLogxK

U2 - 10.1109/ITC-28.2016.314

DO - 10.1109/ITC-28.2016.314

M3 - Conference contribution

AN - SCOPUS:85013028949

SN - 978-1-5090-1304-3

VL - 3

SP - 34

EP - 36

BT - Proceedings of the Fourth International IEEE Workshop on Quality of Experience Centric Management

A2 - Hossfeld, Tobias

A2 - Mark, Brian L.

A2 - Chan, Gary

A2 - Timm-Giel, Andreas

PB - IEEE

T2 - 28th International Teletraffic Congress, ITC 2016

Y2 - 12 September 2016 through 16 September 2016

ER -

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 doi: 10.1109/ITC-28.2016.314

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

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Cite this