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CORDIS - Risultati della ricerca dell’UE
CORDIS

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

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Initial architecture document with market analysis, SotA refresh and validation approach (si apre in una nuova finestra)

A first architecture document for DITAS focusing on (1) market analysis, (2) an update to the state of the art as the base for the project, (3) an initial business requirements, (4) a high-level architecture for the project, and (5) high-level verification and validation approach

Execution environment architecture design (si apre in una nuova finestra)

This deliverable will provide the architecture design of all components that consists WP4. It will describe analytically their functionalities, the exposed APIs for interacting and exchanging information internally, and the external APIs regarding how they interact with the other technical WPs.

Final case studies validation report (si apre in una nuova finestra)

This deliverable will report the usage of the DITAS framework in its second iteration in the two case of studies of the project: Industry 4.0 and eHealth. It will include a lessons learnt section together with the benefits of DITAS with other alternative solutions, if any.

DITAS Data Management – second release (si apre in una nuova finestra)

Revised version of the DITAS data management including a detailed definition of the dependency between the data utility and data movement strategies, cloud storage and security/privacy requirements and mechanisms.

DITAS Data Management – final release (si apre in una nuova finestra)

Final version of the DITAS data management refined also with respect to the results of the adopted case studies.

Integration of DITAS and Cloud Testbed Final report (si apre in una nuova finestra)

This deliverable includes the final report of the integration of all DITAS components after its second iteration together with their usage in the Cloud testbed. It will also report in the changes necessary to consider to enable DITAS in a Cloud facility or Cloud application.

DITAS Data Management – first release (si apre in una nuova finestra)

Fundamentals of data management in DITAS including the main steps composing the data life-cycle with details of the data utility model. Initial set of data movement strategies, cloud storage mechanisms, and security/privacy requirements and mechanisms will be included.

Specification of Integration and Validation Testbed and Cloud Platform for DITAS (si apre in una nuova finestra)

This deliverable will report in the selected integration platform strategy and continuous integration/devops strategy to build the DITAS platform together with the resources necessary to implement the Cloud Testbed in Task 5.2 to support both use cases reported in Task 5.3 and Task 5.4.

Data Virtualization SDK prototype (initial version) (si apre in una nuova finestra)

This deliverable will provide the initial version of a working prototype of the Data Virtualization tools, along with its documentation.

Integration of DITAS and case studies validation report (si apre in una nuova finestra)

This deliverable includes the integration and validation report of the first iteration of the DITAS framework. It also reports on the validation of the two use cases: Industry 4.0 and eHealth with DITAS. The outcomes of this will be employed as inputs for the second iteration of the project.

Data Virtualization architecture design (si apre in una nuova finestra)

This deliverable will provide the architecture design of all components that consists WP3. It will describe analytically their functionalities, the exposed APIs for interacting and exchanging information internally, and the external APIs regarding how they interact with the other technical WPs.

Final DITAS architecture and validation approach (si apre in una nuova finestra)

An updated architecture document that includes (1) update to market analysis, (2) update to the business requirements, (3) detailed project architecture, and (4) a detailed plan for verification and validation.

Data Virtualization SDK prototype (si apre in una nuova finestra)

This deliverable will provide the final version of a working prototype of the Data Virtualization tools, along with its documentation.

Execution environment prototype (first release) (si apre in una nuova finestra)

This deliverable describes the first working prototype of the execution environment mainly focused on the data monitoring and execution environment, with an initial draft of the analytics and movement selector.

Execution environment prototype (final release) (si apre in una nuova finestra)

This deliverable describes the final version the execution environment where also data movement enactor and data analytics are fully integrated.

Pubblicazioni

Utility-Driven Data Management for Data-Intensive Applications in Fog Environments (si apre in una nuova finestra)

Autori: Cinzia Cappiello, Barbara Pernici, Pierluigi Plebani, Monica Vitali
Pubblicato in: ER Conference, 2017, Pagina/e 216-226
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-70625-2_20

Pick your choice in HBase: Security or performance (si apre in una nuova finestra)

Autori: Frank Pallas, Johannes Gunther, David Bermbach
Pubblicato in: 2016 IEEE International Conference on Big Data (Big Data), 2016, Pagina/e 548-554, ISBN 978-1-4673-9005-7
Editore: IEEE
DOI: 10.1109/BigData.2016.7840646

Fog Computing and Data as a Service:a Goal-Based Modeling Approach to Enable Effective Data Movements (si apre in una nuova finestra)

Autori: Pierluigi Plebani, Mattia Salnitri, Monica Vitali
Pubblicato in: CAiSE, 2018, Pagina/e 203-219
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-91563-0_13

Information Logistics and Fog Computing: The DITAS Approach

Autori: P. Plebani, D. Garcia-Perez, M. Anderson, D. Bermbach, C. Cappiello, R. Kat, F. Pallas, B. Pernici, S. Tai, M. Vitali
Pubblicato in: CEUR- Proceedings, 2017
Editore: CAISE

A research perspective on Fog Computing (si apre in una nuova finestra)

Autori: David Bermbach, Frank Pallas, David García Pérez, Pierluigi Plebani, Maya Anderson, Ronen Kat, Stefan Tai
Pubblicato in: ISYCC, 2017, Pagina/e 198-210
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-91764-1_16

DITAS: Unleashing the potential of Fog Computing to Improve Data-Intensive Applications (si apre in una nuova finestra)

Autori: 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
Pubblicato in: ESOCC, 2017, Pagina/e 154-158
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-79090-9_11

Designing Suitable Access Control for Web-Connected Smart Home Platforms (si apre in una nuova finestra)

Autori: Sebastian Werner, Frank Pallas, David Bermbach
Pubblicato in: WESOACS, 2017, Pagina/e 240-251
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-91764-1_19

Evidence-based security configurations for cloud datastores (si apre in una nuova finestra)

Autori: Frank Pallas, David Bermbach, Steffen Müller, Stefan Tai
Pubblicato in: Proceedings of the Symposium on Applied Computing - SAC '17, 2017, Pagina/e 424-430, ISBN 9781450344869
Editore: ACM Press
DOI: 10.1145/3019612.3019654

Three Tales of Disillusion: Benchmarking Property Preserving Encryption Schemes (si apre in una nuova finestra)

Autori: Frank Pallas, Martin Grambow
Pubblicato in: ESOCC, 2018, Pagina/e 39-54
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-98385-1_4

Datenschutz in Zeiten alles durchdringender Vernetzung: Herausforderungen für das Zusammenspiel von Technik und Regulierung

Autori: F. Pallas
Pubblicato in: Konferenz „Die Fortentwicklung des Datenschutzes“, 2018
Editore: Springer

An Evaluation of FaaS Platforms as a Foundation for Serverless Big Data Processing (si apre in una nuova finestra)

Autori: Jörn Kuhlenkamp, Sebastian Werner, Maria C. Borges, Karim El Tal, Stefan Tai
Pubblicato in: Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing, 2019, Pagina/e 1-9, ISBN 9781-450368940
Editore: ACM
DOI: 10.1145/3344341.3368796

Engineering Accountable Systems

Autori: M. Henze and V. Almeida and J. Bacon and M. Herschel and M. Ott and F. Pallas and T. Pasquier and S. Puglisi and M. Seltzer and M. Winikoff and M. Zitterbart
Pubblicato in: 2018
Editore: Dagstuhl

Benchmarking FaaS Platforms: Call for Community Participation

Autori: J. Kuhlenkamp and S. Werner
Pubblicato in: 2018
Editore: 4th WoSC

Secondary use of clinical data for scientific research purposes in the DITAS Project

Autori: Paola Aurucci, Ilio Catallo, Mariet NouriJanian, Micheletti Andrea and Alberto Sanna
Pubblicato in: 2019
Editore: IADIS International Conference e-health 2019 (part of MCCSIS 2019)

Serverless Big Data Processing using Matrix Multiplication as Example (si apre in una nuova finestra)

Autori: S. Werner and J. Kuhlenkamp and M. Klems and Johannes Müller and S. Tai
Pubblicato in: 2018
Editore: IEEE Bid Data´18
DOI: 10.1109/BigData.2018.8622362

Supporting the Evaluation of Fog-based IoT Applications During the Design Phase

Autori: J. Hasenburg and S. Werner and D. Bermbach
Pubblicato in: 2018
Editore: 5th M4IoT

Providing Open Environmental Data - The Scalable and Web-Friendly Way

Autori: Maria C. Borges and Frank Pallas and Marco Peise
Pubblicato in: 2018
Editore: Enviroinfo 2018

YaPPL - A Lightweight Privacy Preference Language for Legally Sufficient and Automated Consent Provision in IoT Scenarios (si apre in una nuova finestra)

Autori: Max-R. Ulbricht, Frank Pallas
Pubblicato in: Data Privacy Management, Cryptocurrencies and Blockchain Technology - ESORICS 2018 International Workshops, DPM 2018 and CBT 2018, Barcelona, Spain, September 6-7, 2018, Proceedings, Numero 11025, 2018, Pagina/e 329-344, ISBN 978-3-030-00304-3
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-00305-0_23

An Adaptive Monitoring Service Exploiting Data Correlations in Fog Computing (si apre in una nuova finestra)

Autori: Monica Vitali, Xuesong Peng, Barbara Pernici
Pubblicato in: Service-Oriented Computing - 17th International Conference, ICSOC 2019, Toulouse, France, October 28–31, 2019, Proceedings, Numero 11895, 2019, Pagina/e 383-389, ISBN 978-3-030-33701-8
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-33702-5_29

A Robust Information Life Cycle Management Framework for Securing and Governing Critical Infrastructure Systems (si apre in una nuova finestra)

Autori: 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
Pubblicato in: Inventions, Numero 3/4, 2018, Pagina/e 71, ISSN 2411-5134
Editore: MDPI journal
DOI: 10.3390/inventions3040071

A design-time data-centric maturity model for assessing resilience in multi-party business processes (si apre in una nuova finestra)

Autori: Andrea Marrella, Massimo Mecella, Barbara Pernici, Pierluigi Plebani
Pubblicato in: Information Systems, Numero 86, 2019, Pagina/e 62-78, ISSN 0306-4379
Editore: Elsevier Science & Technology
DOI: 10.1016/j.is.2018.11.002

Monitoring-aware Optimal Deployment for Applications based on Microservices (si apre in una nuova finestra)

Autori: Edoardo Fadda, Pierluigi Plebani, Monica Vitali
Pubblicato in: IEEE Transactions on Services Computing, 2019, Pagina/e 1-1, ISSN 1939-1374
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tsc.2019.2910069

Smart heating in collaborative and reasoning-enabled housing units (si apre in una nuova finestra)

Autori: P. Bourelos, G. Kousiouris, O. Voutyras, A. Marinakis, T. Varvarigou, V. Moulos
Pubblicato in: Future Generation Computer Systems, 2018, ISSN 0167-739X
Editore: Elsevier BV
DOI: 10.1016/j.future.2018.10.007

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