Can context monitoring improve QoE? A case study of video flash crowds in the Internet of Services

被引：0

作者：

Hossfeld, Tobias ^{[1
]}

Skorin-Kapov, Lea ^{[2
]}

Haddad, Yoram ^{[3
]}

Pocta, Peter ^{[4
]}

Siris, Vasilios A. ^{[5
]}

Zgank, Andrej ^{[6
]}

Melvin, Hugh ^{[7
]}

机构：

[1] Univ Duisburg Essen, Modeling Adapt Syst, Essen, Germany

[2] Univ Zagreb, Fac Elect Engn & Comp, Zagreb, Croatia

[3] Jerusalem Coll Technol, Jerusalem, Israel

[4] Univ Zilina, Dept Telecommun & Multimedia, FEE, Zilina, Slovakia

[5] Athens Univ Econ & Business, Dept Informat, Athens, Greece

[6] Univ Maribor, Fac Elect Engn & Comp Sci, Maribor, Slovenia

[7] Natl Univ Ireland, Discipline Informat Technol, Galway, Ireland

来源：

PROCEEDINGS OF THE 2015 IFIP/IEEE INTERNATIONAL SYMPOSIUM ON INTEGRATED NETWORK MANAGEMENT (IM) | 2015年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Over the last decade or so, significant research has focused on defining Quality of Experience (QoE) of Multimedia Systems and identifying the key factors that collectively determine it. Some consensus thus exists as to the role of System Factors, Human Factors and Context Factors. In this paper, the notion of context is broadened to include information gleaned from simultaneous out-of-band channels, such as social network trend analytics, that can be used if interpreted in a timely manner, to help further optimise QoE. A case study involving simulation of HTTP adaptive streaming (HAS) and load balancing in a content distribution network (CDN) in a flash crowd scenario is presented with encouraging results.

引用

页码：1274 / 1277

页数：4

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