Research projects

iP Over IcN- the betTer IP (POINT)

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Funding:
EU Horizon 2020
Homepage:
https://www.point-h2020.eu/

The goal of POINT (iP Over IcN- the betTer IP) is to develop technology, innovations, and business value chains for commercially viable IP-over-ICN deployment, based on the hypothesis that many current IP-based applications can run ‘better’ on an ICN-based network than on current IP networks.
To achieve this, we will first define a set of Key Performance Indicators (KPIs) to specify what exactly ‘better’ means. Then, we will specify a communication platform based on the ICN prototype developed in FP7 PURSUIT and develop a set of abstractions to enable current IP, TCP, HTTP and CoAP based applications to run on our platform, complemented by new resource coordination mechanisms to improve the performance of the network.
We will implement our platform as an operational prototype and validate it against the KPIs in a testbed as well as run a realworld field trial in an operator’s production network with real customers. We will openly publish our design and all relevant data needed to deploy and improve our prototype, which in turn will be released as open source code. We will also undertake a wide range of dissemination activities to establish POINT as a key driver in the ICN community.
The POINT platform will provide new business opportunities for systems vendors, operators and service providers, including SMEs and we will evaluate the commercial viability of our solution and develop migration scenarios for operators wishing to deploy ICN in production networks. The consortium has all the experience and competencies needed to cover the entire chain from an idea and research prototype to a working platform ready for production use. In addition to academic partners, POINT includes a technology company, a telecom vendor, an ISP, a content provider, and a cooperative which will enable POINT to have an impact on the industry.

Work Item 5: Impact of future ICN traffic on multiple access schemes, SatNEx IV

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Funding:
ESA-European Space Agency
Homepage:
http://www.satnex4.org/

The objectives of this WI is the design of an end-to-end functional system architecture for an integrated satellite-terrestrial network based on ICN/PSI (Information-Centric Networking/Publish-Subscribe Internet) to support the delivery of M2M/IoT services, investigation of the impact of M2M/IoT traffic on multiple access schemes, test-bed validation of ICN/PSI architectures over enhanced satellite multiple access schemes, and optimization of critical network functions of ICN/PSI architectures over enhanced satellite multiple access schemes.
The investigations will consider various M2M/IoT scenarios where integrated terrestrial-satellite networks offer a significant advantage. The investigations will assess the performance in terms of the reliability, scalability, and signaling overhead, identifying their corresponding tradeoffs and the impact of M2M/IoT traffic characteristics.
Partners: AUEB (leader), TeSA and CFR.

REACH-Rural broadband intErnet Access using Cooperative mesh networking in wHite space spectrum

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Funding:
EuropeAid / EU-India Research and Innovation Partnership
Homepage:
http://www.eu-india.net

The overall aim of the REACH project is to develop a strong cluster-to-cluster partnership between research centres in the EU and India to develop advanced technical solutions for providing high-speed broadband Internet access in rural India by deploying cooperative mesh networking in the unlicensed (white space) spectrum.
The main objectives of the project include:

  • To perform detailed user and application requirement analysis for wireless broadband networks in rural India
  • To consider solutions for network architecture, algorithm and protocol design for rural wireless networks using white spectrum
  • To propose efficient content distribution system suitable for the context of rural India
Partners: City University London (Coordinator), IIT Bombay, Indian Institute of Management, Ahmedabad, International Institute of Information Technology Bangalore, King’s College London, Athens University of Economics and Business-Research Center, University of Padua, University of Bordeaux, Instituto de Telecomunicações- Aveiro, University of Cyprus

Nestor: Quality-of-Experience of adaptive video streaming in mobile broadband networks

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Funding:
EU Horizon 2020
Homepage:
https://www.monroe-project.eu/firstopencall/

The wide deployment of multimedia services over packet networks has highlighted that the original design of the Internet as a best-effort network makes it problematic for bandwidth-intensive and delay-sensitive applications, like video streaming. Additionally, network operators typically employ centralized delivery architectures that lead to long paths between end-users and content servers, waste of network resources and increased delays. This issue becomes more important in mobile broadband networks, which have stringent resource limitations and fast- changing conditions.
The NESTOR project aims at conducting an experiment campaign based on the MONROE platform to evaluate the Quality-of-Experience (QoE) of popular video streaming services (e.g. YouTube and Netflix) with active and passive measurements. Special emphasis will be given to adaptive video streaming (especially MPEG-DASH) which enables the seamless adaptation of the video client to the specific network conditions of each user and is more relevant to mobile broadband networks. The understanding of the impact of the network parameters and the media content on the human perception are key factors in optimizing the end-to-end delivery chain. More importantly, the NESTOR project will help create a sustainable experimental platform which will be able to be used after the end of the measurement campaign by third-parties (e.g., operators, video platforms, and network engineers) to test and evaluate the performance of adaptive video streaming services in a seamless, intuitive and unobtrusive manner. Thus, the experiments will assist in benchmarking mobile broadband operators in terms of reliability and in the identification of key performance indicators that could be used to improve their networks.