Skip to main content

DITAS: Data-intensive applications Improvement by moving daTA and computation in mixed cloud/fog environmentS

Objective

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

Call for proposal

H2020-ICT-2016-1
See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Coordinator

ATOS SPAIN SA
Address
Calle De Albarracin 25
28037 Madrid
Spain
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 568 750

Participants (7)

POLITECNICO DI MILANO
Italy
EU contribution
€ 542 500
Address
Piazza Leonardo Da Vinci 32
20133 Milano
Activity type
Higher or Secondary Education Establishments
TECHNISCHE UNIVERSITAT BERLIN
Germany
EU contribution
€ 768 937,50
Address
Strasse Des 17 Juni 135
10623 Berlin
Activity type
Higher or Secondary Education Establishments
IDEKO S COOP
Spain
EU contribution
€ 547 500
Address
Calle Arriaga 2
20870 Elgoibar
Activity type
Research Organisations
CLOUDSIGMA AG
Switzerland
EU contribution
€ 0
Address
Badenerstrasse 549
8048 Zurich
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS
Greece
EU contribution
€ 526 250
Address
Patission Str. 42
10682 Athina
Activity type
Research Organisations
IBM ISRAEL - SCIENCE AND TECHNOLOGY LTD
Israel
EU contribution
€ 970 000
Address
94 Derech Em-hamoshavot
49527 Petach Tikva
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
OSPEDALE SAN RAFFAELE SRL
Italy
EU contribution
€ 496 250
Address
Via Olgettina 60
20132 Milano
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)