CORDIS - Résultats de la recherche de l’UE
CORDIS

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

Livrables

Initial architecture document with market analysis, SotA refresh and validation approach

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

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

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

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

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

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

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

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)

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

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

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

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

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)

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)

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

Publications

Utility-Driven Data Management for Data-Intensive Applications in Fog Environments

Auteurs: Cinzia Cappiello, Barbara Pernici, Pierluigi Plebani, Monica Vitali
Publié dans: ER Conference, 2017, Page(s) 216-226
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-70625-2_20

Pick your choice in HBase: Security or performance

Auteurs: Frank Pallas, Johannes Gunther, David Bermbach
Publié dans: 2016 IEEE International Conference on Big Data (Big Data), 2016, Page(s) 548-554, ISBN 978-1-4673-9005-7
Éditeur: IEEE
DOI: 10.1109/BigData.2016.7840646

Fog Computing and Data as a Service:a Goal-Based Modeling Approach to Enable Effective Data Movements

Auteurs: Pierluigi Plebani, Mattia Salnitri, Monica Vitali
Publié dans: CAiSE, 2018, Page(s) 203-219
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-91563-0_13

Information Logistics and Fog Computing: The DITAS Approach

Auteurs: P. Plebani, D. Garcia-Perez, M. Anderson, D. Bermbach, C. Cappiello, R. Kat, F. Pallas, B. Pernici, S. Tai, M. Vitali
Publié dans: CEUR- Proceedings, 2017
Éditeur: CAISE

A research perspective on Fog Computing

Auteurs: David Bermbach, Frank Pallas, David García Pérez, Pierluigi Plebani, Maya Anderson, Ronen Kat, Stefan Tai
Publié dans: ISYCC, 2017, Page(s) 198-210
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-91764-1_16

DITAS: Unleashing the potential of Fog Computing to Improve Data-Intensive Applications

Auteurs: 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
Publié dans: ESOCC, 2017, Page(s) 154-158
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-79090-9_11

Designing Suitable Access Control for Web-Connected Smart Home Platforms

Auteurs: Sebastian Werner, Frank Pallas, David Bermbach
Publié dans: WESOACS, 2017, Page(s) 240-251
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-91764-1_19

Evidence-based security configurations for cloud datastores

Auteurs: Frank Pallas, David Bermbach, Steffen Müller, Stefan Tai
Publié dans: Proceedings of the Symposium on Applied Computing - SAC '17, 2017, Page(s) 424-430, ISBN 9781-450344869
Éditeur: ACM Press
DOI: 10.1145/3019612.3019654

Three Tales of Disillusion: Benchmarking Property Preserving Encryption Schemes

Auteurs: Frank Pallas, Martin Grambow
Publié dans: ESOCC, 2018, Page(s) 39-54
Éditeur: 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

Auteurs: F. Pallas
Publié dans: Konferenz „Die Fortentwicklung des Datenschutzes“, 2018
Éditeur: Springer

An Evaluation of FaaS Platforms as a Foundation for Serverless Big Data Processing

Auteurs: Jörn Kuhlenkamp, Sebastian Werner, Maria C. Borges, Karim El Tal, Stefan Tai
Publié dans: Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing, 2019, Page(s) 1-9, ISBN 9781-450368940
Éditeur: ACM
DOI: 10.1145/3344341.3368796

Engineering Accountable Systems

Auteurs: 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
Publié dans: 2018
Éditeur: Dagstuhl

Benchmarking FaaS Platforms: Call for Community Participation

Auteurs: J. Kuhlenkamp and S. Werner
Publié dans: 2018
Éditeur: 4th WoSC

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

Auteurs: Paola Aurucci, Ilio Catallo, Mariet NouriJanian, Micheletti Andrea and Alberto Sanna
Publié dans: 2019
Éditeur: IADIS International Conference e-health 2019 (part of MCCSIS 2019)

Serverless Big Data Processing using Matrix Multiplication as Example

Auteurs: S. Werner and J. Kuhlenkamp and M. Klems and Johannes Müller and S. Tai
Publié dans: 2018
Éditeur: IEEE Bid Data´18

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

Auteurs: J. Hasenburg and S. Werner and D. Bermbach
Publié dans: 2018
Éditeur: 5th M4IoT

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

Auteurs: Maria C. Borges and Frank Pallas and Marco Peise
Publié dans: 2018
Éditeur: Enviroinfo 2018

YaPPL - A Lightweight Privacy Preference Language for Legally Sufficient and Automated Consent Provision in IoT Scenarios

Auteurs: Max-R. Ulbricht, Frank Pallas
Publié dans: Data Privacy Management, Cryptocurrencies and Blockchain Technology - ESORICS 2018 International Workshops, DPM 2018 and CBT 2018, Barcelona, Spain, September 6-7, 2018, Proceedings, Numéro 11025, 2018, Page(s) 329-344, ISBN 978-3-030-00304-3
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-00305-0_23

An Adaptive Monitoring Service Exploiting Data Correlations in Fog Computing

Auteurs: Monica Vitali, Xuesong Peng, Barbara Pernici
Publié dans: Service-Oriented Computing - 17th International Conference, ICSOC 2019, Toulouse, France, October 28–31, 2019, Proceedings, Numéro 11895, 2019, Page(s) 383-389, ISBN 978-3-030-33701-8
Éditeur: 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

Auteurs: 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
Publié dans: Inventions, Numéro 3/4, 2018, Page(s) 71, ISSN 2411-5134
Éditeur: MDPI journal
DOI: 10.3390/inventions3040071

A design-time data-centric maturity model for assessing resilience in multi-party business processes

Auteurs: Andrea Marrella, Massimo Mecella, Barbara Pernici, Pierluigi Plebani
Publié dans: Information Systems, Numéro 86, 2019, Page(s) 62-78, ISSN 0306-4379
Éditeur: Elsevier Science & Technology
DOI: 10.1016/j.is.2018.11.002

Monitoring-aware Optimal Deployment for Applications based on Microservices

Auteurs: Edoardo Fadda, Pierluigi Plebani, Monica Vitali
Publié dans: IEEE Transactions on Services Computing, 2019, Page(s) 1-1, ISSN 1939-1374
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tsc.2019.2910069

Smart heating in collaborative and reasoning-enabled housing units

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

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