Metzger, Florian; Hoßfeld, Tobias; Skorin-Kapov, Lea; Haddad, Yoram; Liotou, Eirini; Pocta, Peter; Melvin, Hugh; Siris, Vasilios A.; Zgank, Andrej; Jarschel, Michael:
Context monitoring for improved system performance and QoE
In: Autonomous Control for a Reliable Internet of Services : Methods, Models, Approaches, Techniques, Algorithms, and Tools - Springer, 2018 - (Lecture Notes in Computer Science ; 10768), S. 23 - 48
2018Buchaufsatz/Kapitel in SammelwerkOA Gold
WirtschaftswissenschaftenFakultät für Wirtschaftswissenschaften » Fachgebiet Wirtschaftsinformatik » Wirtschaftsinformatik und Unternehmensmodellierung
Titel in Englisch:
Context monitoring for improved system performance and QoE
Autor*in:
Metzger, FlorianUDE
LSF ID
54675
Sonstiges
der Hochschule zugeordnete*r Autor*in
;
Hoßfeld, TobiasUDE
LSF ID
56833
Sonstiges
der Hochschule zugeordnete*r Autor*in
;
Skorin-Kapov, Lea
;
Haddad, Yoram
;
Liotou, Eirini
;
Pocta, Peter
;
Melvin, Hugh
;
Siris, Vasilios A.
;
Zgank, Andrej
;
Jarschel, Michael
Open Access?:
OA Gold
Scopus ID
Sprache des Textes:
Englisch

Abstract in Englisch:

Whereas some application domains show a certain consensus on the role of system factors, human factors, and context factors, QoE management of multimedia systems and services is still faced with the challenge of identifying the key QoE influence factors. In this chapter, we focus on the potential of enhancing QoE management mechanisms by exploiting valuable context information. To get a good grip on the basics we first discuss a general framework for context monitoring and define context information, including technical, usage, social, economic, temporal, and physical factors. We then iterate the opportunities and challenges in involving context in QoE monitoring solutions, as context may be, e.g., hard to ascertain or very situational. The benefits of including context in QoE monitoring and management are demonstrated through use cases involving video flash crowds as well as online and cloud gaming. Finally, we discuss potential technical realizations of context-aware QoE monitoring and management derived based on the SDN paradigm.