futebol overview

FUTEBOL Overview FUTEBOL Team Outline Objectjves Layered - PowerPoint PPT Presentation

FUTEBOL Federated Union of Telecommunicatjons Research Facilitjes for an EU-Brazil Open Laboratory FUTEBOL Overview FUTEBOL Team Outline Objectjves Layered nature of FUTEBOL Who is it For ? Use Cases The impact of


  1. FUTEBOL Federated Union of Telecommunicatjons Research Facilitjes for an EU-Brazil Open Laboratory FUTEBOL Overview FUTEBOL Team

  2. Outline Objectjves • • Layered nature of FUTEBOL • Who is it For ? • Use Cases – The impact of broadband wireless on optjcal infrastructure – The design of optjcal backhaul for next-generatjon wireless – The interplay between bursty, low data rate wireless and optjcal network architectures 2/26/17 2

  3. Goal: To develop and deploy research infrastructure, and an associated control framework for experimentatjon, in Europe and Brazil, that enables experimental research at the convergence point between optjcal and wireless networks 2/26/17 3

  4. Objectjve 1: To deploy facilitjes in Europe and Brazil that can be accessed by external experimenters for experimentatjon that requires integratjon of wireless and optjcal technologies 2/26/17 4

  5. Objectjve 2: To develop and deploy a converged control framework for experimentatjon at the wireless/optjcal boundary 2/26/17 5

  6. Objectjve 3: To conduct industry-informed research using the optjcal/wireless facilitjes 2/26/17 6

  7. Objectjve 4: To create a sustainable ecosystem of collaboratjve research and industrial/academic partnerships between Brazil and Europe 2/26/17 7

  8. Objectjve 5: To create educatjon and outreach materials for a broad audience interested in experimental issues in wireless and optjcal networks 2/26/17 8

  9. Layered nature of FUTEBOL • End-user driven advancement of telecommunicatjons relies on the development of the FUTEBOL converged control framework, which, in turn, requires the compositjon of federated research infrastructure 2/26/17 9

  10. Who is it For ? Wireless and optjcal network operators • • SMEs dealing with network deployment and management Network equipment manufacturers • • Solutjon providers for the Internet of Things Over-the-top service providers • Students and researchers in higher educatjon • 2/26/17 10

  11. Use case 1: The impact of broadband wireless on optjcal infrastructure • Broadband wireless brings unprecedented requirements for the wireless access connectjon Recent regulatory initjatjves in the EU and • worldwide are focusing on spectrum sharing as a new regulatory tool to achieve effjcient use of radio spectrum. For customers, the quality expectatjons with • respect to the networks they use will contjnue to increase along with the networks’ capacity, and the new services that are deployed, irrespectjve of the underlying network technologies used 2/26/17 11

  12. Use Case 1 Experiment: LSA for extended LTE capacity with shared optjcal backhauling and e2e QoE • Main objectjve: Test the protocols and interfaces defjned within the standardizatjon process of LSA in ETSI, and quantjfy its performance in terms of end-to-end QoE The impact of sudden evacuatjons ofg the • LSA bands will be evaluated in terms of the observed QoE, and used for designing strategies for shifuing users across bands 2/26/17 12

  13. Use Case 1 Experiment: LSA for extended LTE capacity with shared optjcal backhauling and e2e QoE • Propose an applicatjon to: – Collect user Quality of Experience (QoE) during video streaming (using DASH or not) with mobile devices • Specifjcatjon: – VERONA was developed for researchers, to automate experiments performed with video streaming VERONA is a tool based on CoLisEU and the – multjmedia framework FFmpeg – VERONA can be used without any end user interactjon, measuring network QoS and video quality metrics – The experimenter is responsible to set up the video provider and the used network, which will have it’s QoS measured with VERONA 2/26/17 13

  14. Use Case 2: The design of optjcal backhaul for next-generatjon wireless • In Sofuware Defjned Networking, the control plane is separated from the data plane • Devices in the dataplane can alert the controller of the occorrunce of specifjc envents, to which the controller programatjcally will react to and re-confjgure the elements in the dataplane By using SDN concepts control the wireless • and the optjcal networks. 2/26/17 14

  15. Use Case 2 Experiment 1: Heterogeneous network management with SDN and virtualizatjon Main objectjve: set up a fmexible end-to-end  wireless-optjcal network on demand, able to fulfjll the dynamic user-demand Migratjng/Cloning NFVs (such as a video  service) in the network, in order to reduce network congestjon and improve the quality of customers’ connectjon 2/26/17 15

  16. Use Case 2 Experiment 1: Heterogeneous network management with SDN and virtualizatjon Migratjon between UFGRS’s and Bristol’s Fibre Islands  2/26/17 16

  17. Use Case 2 Experiment 2: Real-tjme remote control of robots over a wireless-optjcal SDN infrastructure Main objectjve: use of future 5G in cyber-  physical systems running critjcal and real- tjme applicatjons such as assistjve robotjcs. • The combinatjon of cloud computjng and dynamically controlled low latency networks, substantjal cost reductjon and greater fmexibility for physical-cyber systems. 2/26/17 17

  18. Use Case 2 Experiment 2: Real-tjme remote control of robots over a wireless-optjcal SDN infrastructure • The robot applicatjons comprise cameras, sensors and actuators. • There is a gateway element interconnectjng the intelligent space with the edge datacentre. Note that this will be a key element in the optjcal wireless as well as in the orchestratjon of virtual network functjons. Both image processing and robot controller • services will be hosted in the cloud and accessible via the communicatjon platgorm. 2/26/17 18

  19. Use Case 3: The interplay between bursty, low data rate wireless and optjcal network architectures • Ubiquitous IoT devices will sometjmes communicate in a local context, which means that the traffjc patuern and routes may be difgerent than in cloud or traditjonal human- centered communicatjon. Integrate the ubiquity of communicatjon in a • unifjed optjcal/wireless network • The network needs to support a truly connectjonless mode of operatjon, where devices can simply wake up and send a short burst of data to closer data centers. 2/26/17 19

  20. Use Case 3 Experiment 1: Adaptjve converged wireless-optjcal infrastructure for IoT • Main objectjve: Set up a fmexible wireless- optjcal network to interconnect smart objects. The interplay between fog and cloud to • enhance the performance of a converged optjcal wireless network will. 2/26/17 20

  21. Use Case 3 Experiment 1: Adaptjve converged wireless-optjcal infrastructure for IoT • IoT Aplicatjon: real tjme sign/sound interpretatjon to turn on a smart light system • Cloud at UNIVBris: a high processing capacity system in Europe able to compute and store all the sound/video received from the SObjs to send back a reply • Fog at UFMG: the fog has the capability to process video/sound on demand to send the results to both SObjs and the Cloud Cloud decision system: intelligence to decide • when a computjng routjne must be delegated according to the optjcal infrastructure capacity available vs wireless link degradatjon in terms of delay 2/26/17 21

  22. Use case 3 Experiment 2: Radio-over-fjber for IoT environment monitoring • Radio-over-fjber for IoT environment monitoring • Main objectjve: set a robust and fmexible environmental to several heterogeneous IoT wireless sensors devices over an optjcal infrastructure already deployed. Provisioning a suitable radio-over-fjber • convergence and enabling remote reconfjguratjon of the IoT devices 2/26/17 22

  23. Use Case 3 Experiment 2: Radio-over-fjber for IoT environment monitoring • Managed nodes: IoT devices which will measure and report environment-related data based on a profjle • Forwarding nodes: RoF/D-RoF devices responsible for transmittjng RF signals into optjcal links and vice versa Controller: central entjty which processes • and interprets received RF signals • Repository: database designed to store measurements and to recover them based on a profjle 2/26/17 23

  24. Thank You! ? Questjons? Comments? Futebol Team htup:/ /ict-futebol.org.br/ FUTEBOL has received funding from the European Union's Horizon 2020 for research, technological development, and demonstratjon under grant agreement no. 688941 (FUTEBOL), as well from the Brazilian Ministry of Science, Technology and Innovatjon (MCTI) through RNP and CTIC.

Recommend


More recommend