OPTIMIST
Financiado
OPTIMised video content delivery chains leveraging data analysis over joint multI-accesS edge computing and 5G radio network infrasTructures
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 implement...
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.
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Duración del proyecto: 59 meses
Fecha Inicio: 2020-05-01
Fecha Fin: 2025-04-30
Fecha Fin: 2025-04-30
Línea de financiación: concedida
El organismo H2020 notifico la concesión del proyecto el día 2020-05-01
H2020
No se conoce la línea exacta de financiación, pero conocemos el organismo encargado de la revisión del proyecto.
Presupuesto
El presupuesto total del proyecto asciende a
1M€
Líder del proyecto
ETHNIKO KAI KAPODISTRIAKO PANEPISTIMIO ATHINO...
No se ha especificado una descripción o un objeto social para esta compañía.
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