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QoE-Aware Edge Computing Through Service Function Chaining

delete2022-03-01
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PRE
AI
F
Fotis Foukalas *
A
Athanasios Tziouvaras
DOI:10.1109/MIC.2021.3129909delete
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Abstract

Abstract

En 中文
Mobile multimedia Internet services, such as mobile virtual reality (VR), request for advanced quality of experience (QoE) provision. In the future Internet, such a QoE provision will be leveraged through edge computing, which can be facilitated through advanced programmable frameworks, such as service function chaining (SFC). To this direction, we provide in this work, the design, development, and experimentation of a QoE-aware edge computing framework using SFC. In particular, the QoE-aware edge computing is provided by a network function virtualization-enabled SFC architecture. The SFC architecture provides adaptive media services through programmable service functions (SFs). Our solution provides multimedia dynamic adaptive streaming HTTP services with QoE under certain network conditions. The proposed QoE-aware edge computing is guaranteed with both data and computation offloading techniques, including a required QoE-aware edge resource management. Specific use cases are designed in order to test our solution that shows better QoE in comparison with the baseline use case, where neither data nor computational offloading is considered.
Keywords:
Streaming media
Quality of experience
Edge computing
Computer architecture
Media
Transcoding
Servers
Multimedia communication
Quality of Experience
Edge Computing
Service Function Chaining
Network Function Virtualization

Journal

IEEE Internet Computing cover
IEEE Internet Computing
IF:
4.4
Papers:
2.0K
Citations:
2.0K

Organization

U
University College London
Scholars:
7.9W
Papers: 6.2W
Citations: 15.7W
U
university of london
Scholars:
21.5W
Papers: 19.7W
Citations: 305