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

Total Cost €


EC-Contrib. €






Project "DITAS" data sheet

The following table provides information about the project.


Organization address
city: MADRID
postcode: 28037

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Project website
 Total cost 4˙890˙066 €
 EC max contribution 4˙420˙187 € (90%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2016-1
 Funding Scheme RIA
 Starting year 2017
 Duration (year-month-day) from 2017-01-01   to  2019-12-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ATOS SPAIN SA ES (MADRID) coordinator 568˙750.00
4    IDEKO S COOP ES (ELGOIBAR) participant 547˙500.00
5    POLITECNICO DI MILANO IT (MILANO) participant 542˙500.00
7    OSPEDALE SAN RAFFAELE SRL IT (MILANO) participant 496˙250.00
8    CLOUDSIGMA AG CH (ZURICH) participant 0.00


 Project 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


List of deliverables.
Integration of DITAS and Cloud Testbed Final report Documents, reports 2020-04-14 10:03:21
Final case studies validation report Documents, reports 2020-04-14 10:03:28
Execution environment prototype (final release) Demonstrators, pilots, prototypes 2020-04-14 10:03:11
Data Virtualization SDK prototype Documents, reports 2020-04-14 10:03:53
DITAS Data Management – final release Documents, reports 2020-04-14 10:03:44
Final DITAS architecture and validation approach Documents, reports 2020-04-14 10:03:36
Data Virtualization architecture design Documents, reports 2019-05-31 10:35:21
Integration of DITAS and case studies validation report Documents, reports 2019-05-31 10:35:23
Execution environment prototype (first release) Demonstrators, pilots, prototypes 2019-05-31 10:35:29
Specification of Integration and Validation Testbed and Cloud Platform for DITAS Documents, reports 2019-05-31 10:35:23
Data Virtualization SDK prototype (initial version) Documents, reports 2019-05-31 10:35:21
Execution environment architecture design Documents, reports 2019-05-31 10:35:27
Initial architecture document with market analysis, SotA refresh and validation approach Documents, reports 2019-05-31 10:35:14
DITAS Data Management – first release Documents, reports 2019-05-31 10:35:20
DITAS Data Management – second release Documents, reports 2019-05-31 10:35:21

Take a look to the deliverables list in detail:  detailed list of DITAS deliverables.


year authors and title journal last update
List of publications.
2019 Edoardo Fadda, Pierluigi Plebani, Monica Vitali
Monitoring-aware Optimal Deployment for Applications based on Microservices
published pages: 1-1, ISSN: 1939-1374, DOI: 10.1109/tsc.2019.2910069
IEEE Transactions on Services Computing 2020-03-05
2018 P. Bourelos, G. Kousiouris, O. Voutyras, A. Marinakis, T. Varvarigou, V. Moulos
Smart heating in collaborative and reasoning-enabled housing units
published pages: , ISSN: 0167-739X, DOI: 10.1016/j.future.2018.10.007
Future Generation Computer Systems 2020-03-05
2018 Vrettos Moulos, George Chatzikyriakos, Vassilis Kassouras, Anastasios Doulamis, Nikolaos Doulamis, Georgios Leventakis, Thodoris Florakis, Theodora Varvarigou, Evangelos Mitsokapas, Georgios Kioumourtzis, Petros Klirodetis, Alexandros Psychas, Achilleas Marinakis, Thanasis Sfetsos, Alexios Koniaris, Dimitris Liapis, Anna Gatzioura
A Robust Information Life Cycle Management Framework for Securing and Governing Critical Infrastructure Systems
published pages: 71, ISSN: 2411-5134, DOI: 10.3390/inventions3040071
Inventions 3/4 2020-03-05
2019 Andrea Marrella, Massimo Mecella, Barbara Pernici, Pierluigi Plebani
A design-time data-centric maturity model for assessing resilience in multi-party business processes
published pages: 62-78, ISSN: 0306-4379, DOI: 10.1016/
Information Systems 86 2020-03-05
2018 Pierluigi Plebani, Mattia Salnitri, Monica Vitali
Fog Computing and Data as a Service:a Goal-Based Modeling Approach to Enable Effective Data Movements
published pages: 203-219, ISSN: , DOI: 10.1007/978-3-319-91563-0_13
CAiSE 2019-06-11
2017 David Bermbach, Frank Pallas, David García Pérez, Pierluigi Plebani, Maya Anderson, Ronen Kat, Stefan Tai
A research perspective on Fog Computing
published pages: 198-210, ISSN: , DOI: 10.1007/978-3-319-91764-1_16
ISYCC 2019-06-11
2018 Frank Pallas, Martin Grambow
Three Tales of Disillusion: Benchmarking Property Preserving Encryption Schemes
published pages: 39-54, ISSN: , DOI: 10.1007/978-3-319-98385-1_4
ESOCC 2019-06-11
2017 P. Plebani, D. Garcia-Perez, M. Anderson, D. Bermbach, C. Cappiello, R. Kat, F. Pallas, B. Pernici, S. Tai, M. Vitali
Information Logistics and Fog Computing: The DITAS Approach
published pages: , ISSN: , DOI:
CEUR- Proceedings 2019-06-11
2017 Sebastian Werner, Frank Pallas, David Bermbach
Designing Suitable Access Control for Web-Connected Smart Home Platforms
published pages: 240-251, ISSN: , DOI: 10.1007/978-3-319-91764-1_19
WESOACS 2019-06-11
2017 Pierluigi Plebani, David Garcia-Perez, Maya Anderson, David Bermbach, Cinzia Cappiello, Ronen I. Kat, Achilleas Marinakis, Vrettos Moulos, Frank Pallas, Barbara Pernici, Stefan Tai, Monica Vitali
DITAS: Unleashing the potential of Fog Computing to Improve Data-Intensive Applications
published pages: 154-158, ISSN: , DOI: 10.1007/978-3-319-79090-9_11
ESOCC 2019-06-11
2017 Cinzia Cappiello, Barbara Pernici, Pierluigi Plebani, Monica Vitali
Utility-Driven Data Management for Data-Intensive Applications in Fog Environments
published pages: 216-226, ISSN: , DOI: 10.1007/978-3-319-70625-2_20
ER Conference 2019-06-11
2018 F. Pallas
Datenschutz in Zeiten alles durchdringender Vernetzung: Herausforderungen für das Zusammenspiel von Technik und Regulierung
published pages: , ISSN: , DOI:
Konferenz „Die Fortentwicklung des Datenschutzes“ 2019-06-11

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