Geodesic
Statistical User Behavior Detection and QoE Evaluation for Thin Client Services
Computer Science and Information Systems, Tome 12 (2015) no. 2.

Voir la notice de l'article provenant de la source Computer Science and Information Systems website

Remote desktop connection (RDC) services offer clients the ability to access remote content and services, commonly in the context of accessing their working environment.With the advent of cloud-based services, an example use case is that of delivering virtual PCs to users inWAN environments. In this paper, we aim to detect and analyze common user behavior when accessing RDC services, and use this as input for making Quality of Experience (QoE) estimations and subsequently providing input for effective QoE management mechanisms. We first identify different behavioral categories, and conduct traffic analysis to determine a feature set to be used for classification purposes. We propose a machine learning approach to be used for classifying behavior, and use this approach to classify a large number of real-world RDCs. We further conduct QoE evaluation studies to determine the relationship between different network conditions and subjective end user QoE for all identified behavioral categories. Results show an exponential relationship between QoE and delay and loss degradations, and a logarithmic relationship between QoE and bandwidth limitations. Obtained results may be applied in the context of network resource planning, as well as in making QoE-driven resource allocation decisions.
Keywords: user behavior, remote desktop connection, traffic classification, machine learning, QoE 
@article{CSIS_2015_12_2_a13,
     author = {Mirko Suznjevic and Lea Skorin-Kapov and Iztok Humar},
     title = {Statistical {User} {Behavior} {Detection} and {QoE} {Evaluation} for {Thin} {Client} {Services}},
     journal = {Computer Science and Information Systems},
     publisher = {mathdoc},
     volume = {12},
     number = {2},
     year = {2015},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2015_12_2_a13/}
}
TY  - JOUR
AU  - Mirko Suznjevic
AU  - Lea Skorin-Kapov
AU  - Iztok Humar
TI  - Statistical User Behavior Detection and QoE Evaluation for Thin Client Services
JO  - Computer Science and Information Systems
PY  - 2015
VL  - 12
IS  - 2
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/CSIS_2015_12_2_a13/
ID  - CSIS_2015_12_2_a13
ER  - 
%0 Journal Article
%A Mirko Suznjevic
%A Lea Skorin-Kapov
%A Iztok Humar
%T Statistical User Behavior Detection and QoE Evaluation for Thin Client Services
%J Computer Science and Information Systems
%D 2015
%V 12
%N 2
%I mathdoc
%U http://geodesic.mathdoc.fr/item/CSIS_2015_12_2_a13/
%F CSIS_2015_12_2_a13
Mirko Suznjevic; Lea Skorin-Kapov; Iztok Humar. Statistical User Behavior Detection and QoE Evaluation for Thin Client Services. Computer Science and Information Systems, Tome 12 (2015) no. 2. http://geodesic.mathdoc.fr/item/CSIS_2015_12_2_a13/