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

Deliverables

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.

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Publications

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

Author(s): Cinzia Cappiello, Barbara Pernici, Pierluigi Plebani, Monica Vitali
Published in: ER Conference, 2017, Page(s) 216-226
DOI: 10.1007/978-3-319-70625-2_20

Pick your choice in HBase: Security or performance

Author(s): Frank Pallas, Johannes Gunther, David Bermbach
Published in: 2016 IEEE International Conference on Big Data (Big Data), 2016, Page(s) 548-554
DOI: 10.1109/BigData.2016.7840646

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

Author(s): Pierluigi Plebani, Mattia Salnitri, Monica Vitali
Published in: CAiSE, 2018, Page(s) 203-219
DOI: 10.1007/978-3-319-91563-0_13

Information Logistics and Fog Computing: The DITAS Approach

Author(s): P. Plebani, D. Garcia-Perez, M. Anderson, D. Bermbach, C. Cappiello, R. Kat, F. Pallas, B. Pernici, S. Tai, M. Vitali
Published in: CEUR- Proceedings, 2017

A research perspective on Fog Computing

Author(s): David Bermbach, Frank Pallas, David García Pérez, Pierluigi Plebani, Maya Anderson, Ronen Kat, Stefan Tai
Published in: ISYCC, 2017, Page(s) 198-210
DOI: 10.1007/978-3-319-91764-1_16

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

Author(s): 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
Published in: ESOCC, 2017, Page(s) 154-158
DOI: 10.1007/978-3-319-79090-9_11

Designing Suitable Access Control for Web-Connected Smart Home Platforms

Author(s): Sebastian Werner, Frank Pallas, David Bermbach
Published in: WESOACS, 2017, Page(s) 240-251
DOI: 10.1007/978-3-319-91764-1_19

Evidence-based security configurations for cloud datastores

Author(s): Frank Pallas, David Bermbach, Steffen Müller, Stefan Tai
Published in: Proceedings of the Symposium on Applied Computing - SAC '17, 2017, Page(s) 424-430
DOI: 10.1145/3019612.3019654

Three Tales of Disillusion: Benchmarking Property Preserving Encryption Schemes

Author(s): Frank Pallas, Martin Grambow
Published in: ESOCC, 2018, Page(s) 39-54
DOI: 10.1007/978-3-319-98385-1_4

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

Author(s): F. Pallas
Published in: Konferenz „Die Fortentwicklung des Datenschutzes“, 2018

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

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

Engineering Accountable Systems

Author(s): 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
Published in: 2018

Benchmarking FaaS Platforms: Call for Community Participation

Author(s): J. Kuhlenkamp and S. Werner
Published in: 2018

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

Author(s): Paola Aurucci, Ilio Catallo, Mariet NouriJanian, Micheletti Andrea and Alberto Sanna
Published in: 2019

Serverless Big Data Processing using Matrix Multiplication as Example

Author(s): S. Werner and J. Kuhlenkamp and M. Klems and Johannes Müller and S. Tai
Published in: 2018

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

Author(s): J. Hasenburg and S. Werner and D. Bermbach
Published in: 2018

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

Author(s): Maria C. Borges and Frank Pallas and Marco Peise
Published in: 2018

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

Author(s): Max-R. Ulbricht, Frank Pallas
Published in: Data Privacy Management, Cryptocurrencies and Blockchain Technology - ESORICS 2018 International Workshops, DPM 2018 and CBT 2018, Barcelona, Spain, September 6-7, 2018, Proceedings, Issue 11025, 2018, Page(s) 329-344
DOI: 10.1007/978-3-030-00305-0_23

An Adaptive Monitoring Service Exploiting Data Correlations in Fog Computing

Author(s): Monica Vitali, Xuesong Peng, Barbara Pernici
Published in: Service-Oriented Computing - 17th International Conference, ICSOC 2019, Toulouse, France, October 28–31, 2019, Proceedings, Issue 11895, 2019, Page(s) 383-389
DOI: 10.1007/978-3-030-33702-5_29

A Robust Information Life Cycle Management Framework for Securing and Governing Critical Infrastructure Systems

Author(s): 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
Published in: Inventions, Issue 3/4, 2018, Page(s) 71, ISSN 2411-5134
DOI: 10.3390/inventions3040071

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

Author(s): Andrea Marrella, Massimo Mecella, Barbara Pernici, Pierluigi Plebani
Published in: Information Systems, Issue 86, 2019, Page(s) 62-78, ISSN 0306-4379
DOI: 10.1016/j.is.2018.11.002

Monitoring-aware Optimal Deployment for Applications based on Microservices

Author(s): Edoardo Fadda, Pierluigi Plebani, Monica Vitali
Published in: IEEE Transactions on Services Computing, 2019, Page(s) 1-1, ISSN 1939-1374
DOI: 10.1109/tsc.2019.2910069

Smart heating in collaborative and reasoning-enabled housing units

Author(s): P. Bourelos, G. Kousiouris, O. Voutyras, A. Marinakis, T. Varvarigou, V. Moulos
Published in: Future Generation Computer Systems, 2018, ISSN 0167-739X
DOI: 10.1016/j.future.2018.10.007