Machine Learning at the Mobile Edge: The Case of Dynamic Adaptive Streaming Over HTTP (DASH)-Reference-Cited by-同舟云学术

Machine Learning at the Mobile Edge: The Case of Dynamic Adaptive Streaming Over HTTP (DASH)

Author:

Behravesh Rasoul¹^ORCID,Rao Akhila²,Perez-Ramirez Daniel F.²,Harutyunyan Davit³^ORCID,Riggio Roberto⁴^ORCID,Boman Magnus⁵^ORCID

Affiliation:

1. Digital Socity Center, SNESE Unit, Fondazione Bruno Kessler, Trento, Italy

2. Connected Intelligence, Research Institutes of Sweden AB, Stockholm, Sweden

3. Corporate Research, Robert Bosch GmbH, Gerlingen, Germany

4. Information Engineering Department, Università Politecnica delle Marche, Ancona, Italy

5. Department of Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden

Funder

EU’s Horizon 2020 project 5G-CARMEN

H2020 AI@Edge project

Swedish Foundation for Strategic Research (SSF) Time Critical Clouds project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

Reference39 articles.

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