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

Macquarie University

Research output: Chapter in Book/Published conference output › Conference publication

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
Publisher	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

Publication series

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

Conference

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

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Access to Document

10.1109/ICIEA.2016.7603882

Cite this

@inproceedings{ddbbbd31aaac4497b576dd71de11beed,

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",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016 ; Conference date: 05-06-2016 Through 07-06-2016",

year = "2016",

month = oct,

day = "19",

doi = "10.1109/ICIEA.2016.7603882",

language = "English",

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

publisher = "IEEE",

pages = "1818--1823",

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

address = "United States",

}

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, Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016, IEEE, 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. IEEE, 2016. p. 1818-1823 7603882 (Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016).

Research output: Chapter in Book/Published conference output › Conference publication

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 publication

AN - SCOPUS:84997525264

T3 - Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016

SP - 1818

EP - 1823

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

PB - IEEE

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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