OPTIMIST

Link to project website: OPTIMIST RISE 2019

Social media: TBA

Contact: dionysis@fogus.gr

Horizon 2020 – Call: H2020-MSCA-RISE-2019
Panel: Information Science and Engineering (ENG)
Type of action: R&I
Duration: 48 Months
Start date: 1/1/2020
Project Title: OPTIMIST: OPTIMised video content delivery chains leveraging data analysis over joint multI-accesS edge computing and 5G radio network infrasTructures
Overall Budget: € 1 490 400,00
Grant Agreement ID: 872866
Objective

The OPTIMIST programme sets the ambitious aim to develop a modular end-to-end service platform tailored to the
optimized delivery of personalised video content in 5G mobile networks, providing one of the first world-wide
implementations of MEC-enabled service provisioning in 5G networks that is fully compatible with the emerging ETSI/3GPP
reference architectures. To achieve this, the OPTIMIST service platform will design and implement different MEC services,
which are currently studied in an isolated fashion in current literature, (e.g. edge network caching exploiting edge storage
resources, video transcoding and data-driven content popularity prediction exploiting edge processing resources, optimized
video content placement and delivery exploiting the new 5G radio capabilities), in the form of virtual network functions
(VNFs) that are instantiated and optimized on-the-fly to construct a video service chain that is designed to meet the
personalized requirements of 5G mobile video consumers. To formalize the integration of MEC capabilities into the operation
of 5G mobile networks, the OPTIMIST service platform will be fully aligned with the existing and forthcoming standardization
activities in the areas of MEC and 5G networks (ETSI MEC and 3GPP); thus, maximizing the impact of the project in the
long-term both in terms of academic results (new methodological tools and algorithmic innovations) and market products
(deliver specific products / services that will enhance the portfolio of industrial partners). To this end, OPTIMIST will leverage
state-of-the-art (SotA) technologies in MEC-empowered service provisioning, data-driven service control and automation,
QoE-driven dynamic adaptive video streaming over HTTP (DASH), GPS-free localization and machine learning (ML) for
wireless communications.

Project Participants
Fogus Innovations & Services P.C. Greece
IQUADRAT INFORMATICA SL Spain
WEST AQUILA SRL Italy
ETHNIKO KAI KAPODISTRIAKO PANEPISTIMIO ATHINON Greece
CENTRE TECNOLOGIC DE TELECOMUNICACIONS DE CATALUNYA Spain
UNIVERSITA DEGLI STUDI DELL'AQUILA Italy