Skip to main navigation Skip to search Skip to main content

Context monitoring for improved system performance and QoE

  • Florian Metzger
  • , Tobias Hoßfeld
  • , Lea Skorin-Kapov
  • , Yoram Haddad
  • , Eirini Liotou
  • , Peter Pocta
  • , Hugh Melvin
  • , Vasilios A. Siris
  • , Andrej Zgank
  • , Michael Jarschel

Research output: Chapter in Book or Conference Publication/ProceedingChapterpeer-review

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer-Verlag
Pages23-48
Number of pages26
DOIs
Publication statusPublished - 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
VolumeLNCS 10768
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Fingerprint

Dive into the research topics of 'Context monitoring for improved system performance and QoE'. Together they form a unique fingerprint.

Cite this