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

Deliverables

Evaluation of the data analytics platform

Evaluation of the CLASS data analytics platform on the smart use case.

Final project report

Final report for activities performed till the end of the project.

Use case evaluation

Evaluation of the CLASS architecture with the smart city use case on the ASA including: (1) a description of the final configuration of the ASA and vehicles populated with IoT sensors, and (2) an analysis of the quality of collected data-sets at month 42.

Final analysis of real-time big data analysis aspects impacting on standards and industrial initiatives

Evaluation of the impact of the overall CLASS architecture on the considered standards and open initiatives.

Validation of the CLASS edge computing subsystem

Evaluation of the edge computing platform agent supporting real-time analysis and validated with the smart city use-case.

Evaluation of the CLASS software architecture

Evaluation of the integrated CLASS architecture.

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.

Validation of the Cloud Data Analytics Service Management and Scalability components

Evaluation of Cloud Data Analytics Service Management and Scalability components on the smart city use case.

Final communication and dissemination report

Final report of the communication, dissemination and knowledge transfer activities, due on month 42, including a report on the open communities and development environments and activities performed, done within the project.

Intermediate communication and dissemination report

Report of the communication, dissemination and knowledge transfer activities until month 24, including the list of the open communities and development environments in which CLASS results will be disseminate.

Finaly release of the smart city use case

This deliverable will be composed of three parts: (1) Description and preliminary analysis (on the Autodromo) of the combined real-time big data analytics implemented on the use-case; (2) description of the ASA, Auto-dromo and vehicles populated with IoT sensors; and (3) analysis of the quality of collected data-sets at month 29..

Final release of the CLASS software architecture

The refined CLASS architecture executing the use case on the ASA and a report describing it.

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.

Final release of Spark and COMPSs integrated in CLASS architecture

Final release of the integrated version of Spark and COMPSs (including the new extensions if any) in the CLASS architecture, and a report describing it.

Final release of the Cloud Data Analytics Service Management and Scalability Components

This description is to inform you, as Project Officer of CLASS, that taking advantage of the ongoing amendment process, Atos Spain S.A. proposes combining the WP4 Cloud Computing deliverables in MS3, namely “D4.3 Final release of the Cloud Data Analytics Service Management components” and “D4.5 Final release of the Cloud Data Analytics Service Scalability components” into one as these two deliverables cover different internal components within the same overall WP4 component called Rotterdam. Combining the two deliverables will allow presenting the overall WP4 component in a more wholistic and coherent way. Please note that the dissemination level for D4.3 and D4.5 are indicated differently in the DOA due to a mix-up, i.e. D4.3 was indicated as confidential and D4.5 as public, respectively. This should not pose a problem in combining the two deliverables as ATOS Spain S.A. is willing to make all components in this work package and the associated combined report publicly available in MS3.

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.

Final release of an augmented platform for analytics workloads

Final release of the analytics platform, integrated cloud to edge.

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.

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

The real-time analysis tools fully integrated in the CLASS architecture supporting both static and dynamic analysis and a report describing it.

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, ISBN 9781450375597
Publisher: ACM
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
Publisher: ACM
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), 19675208, 2020, ISSN 2642-7346
Publisher: IEEE
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), 19100780, 2019, Page(s) 1720-1729, ISBN 978-1-7281-2519-0
Publisher: IEEE
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, ISBN 978-1-4503-6261-0
Publisher: ACM
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, ISBN 9781450358491
Publisher: ACM Press
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, 11128, 2018, Page(s) 143-159, ISBN 978-3-319-98520-6
Publisher: Springer International Publishing
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), 133, 2019, Page(s) 22:1-22:22, ISBN 978-3-95977-110-8
Publisher: Schloss Dagstuhl –Leibniz Center for Informatics
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, 1, 2020, Page(s) 286-295, ISBN 978-3-030-16840-7
Publisher: Springer International Publishing
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, 941, 2020, Page(s) 1025-1034, ISBN 978-3-030-16659-5
Publisher: Springer International Publishing
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, ISBN 978-1-7281-8956-7
Publisher: IEEE
DOI: 10.1109/ETFA46521.2020.9212130

Improving emergency response in the era of ADAS vehicles in the Smart City

Author(s): Nicola Capodieci, Roberto Cavicchioli, Filippo Muzzini, Leonard Montagna
Published in: ICT Express, 2021, ISSN 2405-9595
Publisher: Elsevier - Science Direct
DOI: 10.1016/j.icte.2021.03.005

vkpolybench: A crossplatform Vulkan Compute port of the PolyBench/GPU benchmark suite

Author(s): Nicola Capodieci, Roberto Cavicchioli
Published in: SoftwareX, 15, 2021, ISSN 2352-7110
Publisher: Elsevier
DOI: 10.1016/j.softx.2021.100793

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, 105, 2020, Page(s) 101702, ISSN 1383-7621
Publisher: Elsevier BV
DOI: 10.1016/j.sysarc.2019.101702