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Edge and CLoud Computation: A Highly Distributed Software Architecture for Big Data AnalyticS

Deliverables

Advanced multi-workload/multi-tenant performance evaluation tool for big data services

A prototype tool for measuring performance aspects of a multi-workload/multi-tenant big-data service and a report describing it.

First release of the real-time analysis methods and tools on the edge

The static real-time analysis tools implemented at the edge and a report describing it.

First release of the Cloud Data Analytics Service Scalability components

First release of the set of integrated software components for data analytics clusters service scalability for cloud standalone features, and a report detailing requirements, detailed designs and scientific findings.

Communication and Dissemination Plan

Description of the communication and dissemination strategy and the activities to be undertaken to achieve this. Results of the dissemination work will be reported in the periodic and final reports.

Initial communication and dissemination report

Report of the communication, dissemination and knowledge transfer activities until month 11.

Data Management Plan (DMP)

Analysis of the main elements of the data management policy with regard to all the datasets generated by the project. The DMP will include a table specifying how the data will be exploited, shared for verification and re- use. In case the table cannot be provided a justification will be provided.

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Publications

Graphic Interfaces in ADAS - from requirements to implementation

Author(s): Alessio Masola, Cristian Gabbi, Andrea Castellano, Nicola Capodieci, Paolo Burgio
Published in: Proceedings of the 6th EAI International Conference on Smart Objects and Technologies for Social Good, 2020, Page(s) 193-198
DOI: 10.1145/3411170.3411259

Exploiting Traffic Lights to Manage Auction-Based Crossings

Author(s): Muzzini, Filippo; Capodieci, Nicola; Montangero, Manuela
Published in: GoodTechs '20: Proceedings of the 6th EAI International Conference on Smart Objects and Technologies for Social Good, 2020
DOI: 10.1145/3411170.3411257

Latency-Aware Generation of Single-Rate DAGs from Multi-Rate Task Sets

Author(s): Verucchi, Micaela; Theile, Mirco; Caccamo, Marco; Bertogna, Marko
Published in: IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), Issue 19675208, 2020, ISSN 2642-7346
DOI: 10.1109/RTAS48715.2020.000-4

Workflow Environments for Advanced Cyberinfrastructure Platforms

Author(s): Rosa M Badia, Jorge Ejarque, Francesc Lordan, Daniele Lezzi, Javier Conejero, Javier Alvarez Cid-Fuentes, Yolanda Becerra, Anna Queralt
Published in: 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS), Issue 19100780, 2019, Page(s) 1720-1729
DOI: 10.1109/ICDCS.2019.00171

Auction-based Crossings Management

Author(s): Cabri, G., L. Gherardini, and M. Montangero
Published in: GoodTechs '19: Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good, 2019
DOI: 10.1145/3342428.3342689

Big Data Analytics for Smart Cities - The H2020 CLASS Project

Author(s): Eduardo Quiñones, Marko Bertogna, Erez Hadad, Ana Juan Ferrer, Luca Chiantore, Alfredo Reboa
Published in: Proceedings of the 11th ACM International Systems and Storage Conference on - SYSTOR '18, 2018, Page(s) 130-130
DOI: 10.1145/3211890.3211914

Towards an OpenMP Specification for Critical Real-Time Systems

Author(s): Maria A. Serrano, Sara Royuela, Eduardo Quiñones
Published in: Evolving OpenMP for Evolving Architectures - 14th International Workshop on OpenMP, IWOMP 2018, Barcelona, Spain, September 26–28, 2018, Proceedings, Issue 11128, 2018, Page(s) 143-159
DOI: 10.1007/978-3-319-98521-3_10

Novel Methodologies for Predictable CPU-To-GPU Command Offloading

Author(s): Roberto Cavicchioli, Nicola Capodieci, Marco Solieri, Marko Bertogna
Published in: 31st Euromicro Conference on Real-Time Systems (ECRTS 2019), Leibniz International Proceedings in Informatics (LIPIcs), Issue 133, 2019, Page(s) 22:1-22:22
DOI: 10.4230/lipics.ecrts.2019.22

Mise en abyme with Artificial Intelligence: How to Predict the Accuracy of NN, Applied to Hyper-parameter Tuning

Author(s): Giorgia Franchini, Mathilde Galinier, Micaela Verucchi
Published in: Recent Advances in Big Data and Deep Learning - Proceedings of the INNS Big Data and Deep Learning Conference INNSBDDL2019, held at Sestri Levante, Genova, Italy 16-18 April 2019, Issue 1, 2020, Page(s) 286-295
DOI: 10.1007/978-3-030-16841-4_30

Artificial Neural Networks: The Missing Link Between Curiosity and Accuracy

Author(s): Giorgia Franchini, Paolo Burgio, Luca Zanni
Published in: Intelligent Systems Design and Applications - 18th International Conference on Intelligent Systems Design and Applications (ISDA 2018) held in Vellore, India, December 6-8, 2018, Volume 2, Issue 941, 2020, Page(s) 1025-1034
DOI: 10.1007/978-3-030-16660-1_100

A Systematic Assessment of Embedded Neural Networks for Object Detection

Author(s): Micaela Verucchi, Gianluca Brilli, Davide Sapienza, Mattia Verasani, Marco Arena, Francesco Gatti, Alessandro Capotondi, Roberto Cavicchioli, Marko Bertogna, Marco Solieri
Published in: 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2020, Page(s) 937-944
DOI: 10.1109/ETFA46521.2020.9212130

Enabling Ada and OpenMP runtimes interoperability through template-based execution

Author(s): Sara Royuela, Luís Miguel Pinho, Eduardo Quiñones
Published in: Journal of Systems Architecture, Issue 105, 2020, Page(s) 101702, ISSN 1383-7621
DOI: 10.1016/j.sysarc.2019.101702