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Virtualized Module for Distributed Quality Assessment Applied to Video Streaming in 5G Networks Environments

López, Juan Pedro; Jimenez, David; Rodrigo, Juan Antonio; Sanchez, Nuria; Menendez, Jose Manuel; Alvarez, Federico; Lalueza, José María

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      <creatorName>López, Juan Pedro</creatorName>
      <givenName>Juan Pedro</givenName>
      <affiliation>Universidad Politécnica de Madrid</affiliation>
      <creatorName>Jimenez, David</creatorName>
      <affiliation>Universidad Politécnica de Madrid</affiliation>
      <creatorName>Rodrigo, Juan Antonio</creatorName>
      <givenName>Juan Antonio</givenName>
      <affiliation>Universidad Politécnica de Madrid</affiliation>
      <creatorName>Sanchez, Nuria</creatorName>
      <affiliation>Visiona Ingeniería de Proyectos</affiliation>
      <creatorName>Menendez, Jose Manuel</creatorName>
      <givenName>Jose Manuel</givenName>
      <affiliation>Universidad Politécnica de Madrid</affiliation>
      <creatorName>Alvarez, Federico</creatorName>
      <affiliation>Universidad Politécnica de Madrid</affiliation>
      <creatorName>Lalueza, José María</creatorName>
      <givenName>José María</givenName>
      <affiliation>Visiona Ingeniería de Proyectos</affiliation>
    <title>Virtualized Module for Distributed Quality Assessment Applied to Video Streaming in 5G Networks Environments</title>
    <subject>5G Networks</subject>
    <subject>Video Quality Assessment</subject>
    <date dateType="Issued">2018-06-29</date>
  <resourceType resourceTypeGeneral="Preprint"/>
    <alternateIdentifier alternateIdentifierType="url"></alternateIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.29007/pntm</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf"></relatedIdentifier>
    <rights rightsURI="">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;The success of streaming platforms and the expansion of advanced multimedia formats, such as UHD that presents 4K and 8K resolutions, demand better network conditions for transmitting higher amounts of data. 5G Networks offer a collection of improvements over their predecessors including an increase of bandwidth and lower latency. Additionally, 5G architecture allows the network nodes to improve their capabilities with the inclusion of Software-Defined Networking (SDN) and Network Function Virtualization (NFV) technologies, which provide an opportunity to control media flows and distribute the processing tools through the delocation of remote virtual machines. As a consequence of this fact, different types of applications for broadcast and multimedia analysis can be implemented for different purposes in the network distribution chain, such as image or audio assessment, video edition, metadata addition and other kinds of system processing. For this paper, among these applications, we present a software module that is able to assess video quality when applied in any point of the network in order to determine remotely the state of the network. This module known as &amp;quot;probe&amp;quot; checks the transmission through image evaluation metrics and sends a resulting report to the network backbone for communication the retransmission if necessary, to fulfill the requirements and demands of the users. Tests developed in different network distributions and with a variety of video sequences demonstrate the validity of this innovative software.&lt;/p&gt;</description>
    <description descriptionType="Other">This work is part of the 5G-MEDIA project which has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 761699.</description>
    <description descriptionType="Other">{"references": ["Cisco Visual Networking Index, \"Forecast and methodology, 2016-2021, white paper,\" Cisco White Pap. San Jose, CA, USA, 2017", "Next Generation Mobile Networks Alliance, \"5G white paper,\" Next Gener. Mob. networks, white Pap., 2015.", "Network Functions Virtualisation, \"Introductory white paper,\" in SDN and OpenFlow World Congress, Darmstadt, Germany, 2012.", "Open Networking Foundation, \"SDN architecture \u2013 Issue 1 \u2013 ONF TR502,\" SDN Archit., 2014.", "J. Ellerton, A. Lord, P. Gunning, K. Farrow, P. Wright, D. King, and D. Hutchison, \"Prospects for software defined networking and network function virtualization in media and broadcast,\" in Annual Technical Conference and Exhibition, SMPTE 2015, 2015, pp. 1\u201321.", "P. Paudyal, F. Battisti, and M. Carli, \"A study on the effects of quality of service parameters on perceived video quality,\" in Visual Information Processing (EUVIP), 2014 5th European Workshop on, 2014, pp. 1\u20136.", "J. Kang, O. Simeone, and J. Kang, \"On the Trade-Off between Computational Load and Reliability for Network Function Virtualization,\" IEEE Commun. Lett., 2017.", "A. P. Plageras, K. E. Psannis, Y. Ishibashi, and B.-G. Kim, \"IoT-based surveillance system for ubiquitous healthcare,\" in Industrial Electronics Society, IECON 2016-42nd Annual Conference of the IEEE, 2016, pp. 6226\u20136230.", "C. Stergiou and K. E. Psannis, \"Efficient and secure BIG data delivery in Cloud Computing,\" Multimed. Tools Appl., vol. 76, no. 21, pp. 22803\u2013 22822, 2017.", "A. P. Plageras, K. E. Psannis, C. Stergiou, H. Wang, and B. B. Gupta, \"Efficient IoT-based sensor BIG Data collection--processing and analysis in smart buildings,\" Futur. Gener. Comput. Syst., 2017.", "A. Kliks, B. Musznicki, K. Kowalik, and P. Kryszkiewicz, \"Perspectives for resource sharing in 5G networks,\" Telecommun. Syst., pp. 1\u201315, 2017.", "C. Ge, N. Wang, G. Foster, and M. Wilson, \"Toward QoE-Assured 4K Video-on-Demand Delivery Through Mobile Edge Virtualization With Adaptive Prefetching,\" IEEE Trans. Multimed., vol. 19, no. 10, pp. 2222\u2013 2237, 2017.", "D. Rosario, M. Schimuneck, J. Camargo, J. Nobre, C. Both, J. Rochol, and M. Gerla, \"Service Migration from Cloud to Multi-tier Fog Nodes for Multimedia Dissemination with QoE Support,\" Sensors, vol. 18, no. 2, p. 329, 2018."]}</description>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/671598/">671598</awardNumber>
      <awardTitle>5G-Crosshaul: The 5G Integrated fronthaul/backhaul</awardTitle>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/761699/">761699</awardNumber>
      <awardTitle>Programmable edge-to-cloud virtualization fabric for the 5G Media industry</awardTitle>
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