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DITAS

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DITAS Data intensive applications Improvement by moving daTA and computation in...

DITAS Data intensive applications Improvement by moving daTA and computation in mixed cloud fog environmentS There is an increasing need to develop data intensive applications able to manage more and more amounts of data coming from distributed and heterogeneous sources effectively, quickly, correctly, and securely. However, the current... ver más

31/12/2019

ATOS SPAIN SA

5M€

Presupuesto del proyecto: 5M€

Líder del proyecto

ATOS SPAIN SA Estudio, desarrollo, aplicacion y comercializacion de la informatica en todos sus aspectos, gestion de centros de procesos de datos y venta,...

TRL 4-5 | 130K€

Fecha límite participación Sin fecha límite de participación.

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Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2019-12-31

ICT-06-2016: Cloud Computing Specific Challenge:Recent trends in cloud computing go towards the development of new paradigms (het...

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13 Participantes

ATOS SPAIN SA

568.75K€ | Lider

CENTRO MEDIOAMBIENTAL CU SL...

OSR

496.25K€ | Participante

POLIMI

542.50K€ | Participante

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Duración del proyecto: 38 meses Fecha Inicio: 2016-10-12
Fecha Fin: 2019-12-31

Líder del proyecto

ATOS SPAIN SA Estudio, desarrollo, aplicacion y comercializacion de la informatica en todos sus aspectos, gestion de centros de procesos de datos y venta,...

TRL 4-5 | 130K€

Presupuesto del proyecto 5M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto There is an increasing need to develop data intensive applications able to manage more and more amounts of data coming from distributed and heterogeneous sources effectively, quickly, correctly, and securely. However, the current adoption of Cloud Computing paradigm is not fully appropriate to store and analyse such data: latency, security, and compliance are still significant barriers. At the same time, Fog Computing has emerged as a paradigm promising to fully exploit the potential of the edge of the network involving traditional devices as well as new generation of smart devices, which can process data closer to where they are produced and/or consumed but which cannot ensure the same reliability and scalability as cloud computing offers. The goal of DITAS is to propose a framework, composed by an SDK and an execution environment, which aims to overcome the barriers that now hamper the adoption of Cloud Computing and increase the adoption of Fog computing by exploiting the full potential of these two paradigms in a synergic way. This will support the development and execution of data-intensive application that are now – and even more in the future – crucial for organizations and companies that want to manage their data in an efficient, reliable, scalable, and secure manner. Abstractions provided in DITAS with Data Virtualization and Data Utility will expose the data to be managed by the application in terms of Virtual Data Containers which hide the complexity of the underlying infrastructure composed of heterogeneous data sources, smart devices, traditional servers, and sensor networks Distribution could also change dynamically. Conversely, Virtual Data Containers offer to developers the possibility to express requirements on data in terms of performance, quality, security and privacy thus to focus only on the application logic, leaving to the DITAS execution environment the responsibility of finding, processing, and delivering the data according to user needs

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