Data-aware QoE-QoS management

Charles Z. Liu; Manolya Kavakli

doi:10.1109/ICIEA.2016.7603882

Data-aware QoE-QoS management

Charles Z. Liu
, Manolya Kavakli

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

7 Citations (Scopus)

Abstract

In this paper, we propose a data aware method to perform Quality of Experience (QoE) and/or Quality of Service (QoS) management. A data-aware QoE model is built based on Principle Component Analysis (PCA). Three main types of QoE-QoS management (optimal QoE management, optimal QoS management and QoE-QoS balance management) are discussed based on the proposed scheme. A QoE-QoS unified optimization is also presented in normalized scale space. An experiment is given to show how the proposed scheme works. With the proposed scheme, the operations for QoE-QoS management is simplified but flexible, and the optimal solution can be obtained analytically with balanced efficiency.

Original language	English
Title of host publication	Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1818-1823
Number of pages	6
ISBN (Electronic)	9781509026050
DOIs	https://doi.org/10.1109/ICIEA.2016.7603882
Publication status	Published - 19 Oct 2016
Event	11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016 - Hefei, China Duration: 5 Jun 2016 → 7 Jun 2016

Other

Other	11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016
Country/Territory	China
City	Hefei
Period	5/06/16 → 7/06/16

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10.1109/ICIEA.2016.7603882

Cite this

@inproceedings{f43f0bf74d4b4d469857460008e4175d,

title = "Data-aware QoE-QoS management",

abstract = "In this paper, we propose a data aware method to perform Quality of Experience (QoE) and/or Quality of Service (QoS) management. A data-aware QoE model is built based on Principle Component Analysis (PCA). Three main types of QoE-QoS management (optimal QoE management, optimal QoS management and QoE-QoS balance management) are discussed based on the proposed scheme. A QoE-QoS unified optimization is also presented in normalized scale space. An experiment is given to show how the proposed scheme works. With the proposed scheme, the operations for QoE-QoS management is simplified but flexible, and the optimal solution can be obtained analytically with balanced efficiency.",

author = "Liu, \{Charles Z.\} and Manolya Kavakli",

year = "2016",

month = oct,

day = "19",

doi = "10.1109/ICIEA.2016.7603882",

language = "English",

pages = "1818--1823",

booktitle = "Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016 ; Conference date: 05-06-2016 Through 07-06-2016",

}

Liu, CZ & Kavakli, M 2016, Data-aware QoE-QoS management. in Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016., 7603882, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 1818-1823, 11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016, Hefei, China, 5/06/16. https://doi.org/10.1109/ICIEA.2016.7603882

Data-aware QoE-QoS management. / Liu, Charles Z.; Kavakli, Manolya.
Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2016. p. 1818-1823 7603882.

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

TY - GEN

T1 - Data-aware QoE-QoS management

AU - Liu, Charles Z.

AU - Kavakli, Manolya

PY - 2016/10/19

Y1 - 2016/10/19

N2 - In this paper, we propose a data aware method to perform Quality of Experience (QoE) and/or Quality of Service (QoS) management. A data-aware QoE model is built based on Principle Component Analysis (PCA). Three main types of QoE-QoS management (optimal QoE management, optimal QoS management and QoE-QoS balance management) are discussed based on the proposed scheme. A QoE-QoS unified optimization is also presented in normalized scale space. An experiment is given to show how the proposed scheme works. With the proposed scheme, the operations for QoE-QoS management is simplified but flexible, and the optimal solution can be obtained analytically with balanced efficiency.

AB - In this paper, we propose a data aware method to perform Quality of Experience (QoE) and/or Quality of Service (QoS) management. A data-aware QoE model is built based on Principle Component Analysis (PCA). Three main types of QoE-QoS management (optimal QoE management, optimal QoS management and QoE-QoS balance management) are discussed based on the proposed scheme. A QoE-QoS unified optimization is also presented in normalized scale space. An experiment is given to show how the proposed scheme works. With the proposed scheme, the operations for QoE-QoS management is simplified but flexible, and the optimal solution can be obtained analytically with balanced efficiency.

UR - https://www.scopus.com/pages/publications/84997525264

U2 - 10.1109/ICIEA.2016.7603882

DO - 10.1109/ICIEA.2016.7603882

M3 - Conference proceeding contribution

AN - SCOPUS:84997525264

SP - 1818

EP - 1823

BT - Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - 11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016

Y2 - 5 June 2016 through 7 June 2016

ER -

Data-aware QoE-QoS management

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