CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.
Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .
Livrables
DataBench Benchmarking Handbook will be a handbook describing the development, organisation and use of main industrial and business performance benchmarks targeted at industrial users and European technology developers.
DataBench Architecture (s’ouvre dans une nouvelle fenêtre)DataBench Architecture will describe the DataBench Toolbox architecture.
Final evaluation of DataBench metrics (s’ouvre dans une nouvelle fenêtre)The Final evaluation of DataBench metrics will present a final set of indicators for comparing different datasets that will allow to structure the metrics and the data collections according to different characteristics and provide a final landscape.
Horizontal Benchmarks – Analytics and Processing (s’ouvre dans une nouvelle fenêtre)Horizontal Benchmarks – Analytics and Processing presents the incremental updates of the various horizontal benchmarks in the area of analytics and processing.
Evaluation of business performance (s’ouvre dans une nouvelle fenêtre)Evaluation of business performance will present the results of the evaluation of business process performance based on evidence from data collection activities.
Initial Evaluation of DataBench Metrics (s’ouvre dans une nouvelle fenêtre)Initial Evaluation of DataBench Metrics will present an initial set of indicators that will allow to structure the metrics and data collections according to different characteristics and provide a landscape prototype.
Assessment of technical usability, relevance, scale and complexity (s’ouvre dans une nouvelle fenêtre)The Assessment of technical usability, relevance, scale and complexity Deliverable will provide initial assessment of technical usability, relevance, scalability and complexity of Big-Data tasks.
Final report on methodology for evaluation of industrial analytic projects scenarios (s’ouvre dans une nouvelle fenêtre)Final report on methodology for evaluation of industrial analytic projects scenarios will provide the results and assessment of Big-Data projects according to the DataBench methodology and a description of how to use the methodologies for industrial evaluation analytics.
Preliminary Benchmarks of European and industrial significance (s’ouvre dans une nouvelle fenêtre)Preliminary Benchmarks of European and industrial significance will provide a first assessment of the value and economic relevance of the EU industry sectors using and developing BDT technologies and of the industrial significance of the performance parameters measured by the BDT benchmarks.
Benchmarks of European and industrial significance (s’ouvre dans une nouvelle fenêtre)Benchmarks of European and industrial significance will present the final benchmarks of European and industrial significance drawing from the results of task 2.3 “Analysis of actual and emerging needs of industrial users” and, feeding into the exploitation plan and the dissemination deliverables. Together with the Benchmarking Handbook this deliverable will provide the evidence-based methods needed to demonstrate the success of BDVA-driven technologies.
Dissemination and Liaison plan (s’ouvre dans une nouvelle fenêtre)This Deliverable will provide a detailed schedule of the communication and dissemination activities planned, their targets and the communication channels, as well as the Liaison plan to establish working relationship with the ICT 15 and 15 projects and other relevant projects/communities.
Data collection plan (s’ouvre dans une nouvelle fenêtre)Data collection plan will present a detailed plan of data collection activities, industries and projects considered, information sources and data collection methodologies.
Analytic modelling relationships between metrics, data and project methodologies (s’ouvre dans une nouvelle fenêtre)This descriptive document and related native format schematic materials will provide the mapping between metrics, data characteristics and methodologies. Every metric and dataset used within benchmarking will be associated with tasks and problems and initial set of complexity and scalability indicators will be identified.
Industry Requirements with benchmark metrics and KPIs (s’ouvre dans une nouvelle fenêtre)This Deliverable will document the collected industrial requirements of European significance with mappings to related vertical and horizontal benchmark metrics and KPIs.
Release Version of DataBench Toolbox including visualization and search components (s’ouvre dans une nouvelle fenêtre)Release Version of DataBench Toolbox including visualization and search components will present the specification of the release version of DataBench Toolbox. The focus will be on the components defined in the layered architecture of the platform emphasizing on the visual components.
Horizontal Benchmarks – Data Management (s’ouvre dans une nouvelle fenêtre)Horizontal Benchmarks – Data Management presents the incremental updates of the various horizontal benchmarks in the area of data management, including data acquisition and curation and data storage for various classes of storage systems.
Project Fiche (s’ouvre dans une nouvelle fenêtre)General description of the project, partners and plan for public dissemination.
Dissemination and Liaison report period 1 (s’ouvre dans une nouvelle fenêtre)This Deliverable will describe the results of the dissemination and liaison activities in the first 18 months of the project and will provide an update of these activities planned for period 2. It will contain record of all events, dissemination materials, scientific papers and links to web based content.
Dissemination and Liaison report period 2 (s’ouvre dans une nouvelle fenêtre)This Deliverable will describe the results of the dissemination and liaison activities in the second 18 month period of the project and will provide an overview of major achievements during the project. It will contain record of all events, dissemination materials, scientific papers and links to web based content.
Analysis of actual and emerging needs of industrial users and use case mapping (s’ouvre dans une nouvelle fenêtre)Analysis of actual and emerging needs of industrial users and use case mapping will report the results of the analysis of the actual and emerging needs of industrial users of BD, based on IDC data and an ad-hoc survey of pioneer industrial users (running pilot cases in the ICT14 and ICT 15 H2020 projects) and other users.
DataBench Toolbox - Beta including end-to-end-scenario tool (M24) will present the specification about beta version of DataBench Toolbox. The focus will be on the implementation of the back-end of the DataBench Toolbox and associated tools.
DataBench Toolbox – Alpha including support for reusing of existing benchmarks (s’ouvre dans une nouvelle fenêtre)DataBench Toolbox – Alpha including support for reusing of existing benchmarks will present the specification about alpha version of DataBench Toolbox. The focus will be on the components that will allow the reuse of existing benchmarks resources in the platform.
Project Web Portal and Dissemination Materials Will launch the project online presence and website and provide the dissemination materials kit.
Data collection results will describe the results of data collection activities presenting the data that will be used to work with and validate the DataBench methodology.
Publications
Auteurs:
Todor Ivanov, Timo Eichhorn, Arne Jørgen Berre, Tomás Pariente Lobo, Ivan Martinez Rodriguez, Ricardo Ruiz Saiz, Barbara Pernici, Chiara Francalanci
Publié dans:
Benchmarking, Measuring, and Optimizing - Second BenchCouncil International Symposium, Bench 2019, Denver, CO, USA, November 14–16, 2019, Revised Selected Papers, Numéro 12093, 2020, Page(s) 165-171, ISBN 978-3-030-49555-8
Éditeur:
Springer International Publishing
DOI:
10.1007/978-3-030-49556-5_17
Auteurs:
Todor Ivanov, Roberto V. Zicari
Publié dans:
Encyclopedia of Big Data Technologies, Numéro 10 March 2018, 2018, Page(s) 1-10, ISBN 978-3-319-63962-8
Éditeur:
Springer International Publishing
DOI:
10.1007/978-3-319-63962-8_113-1
Auteurs:
Gabriella Cattaneo, Sergio Gusmeroli
Publié dans:
Big Data Challenges in Smart Manufacturing Industry V. 2020, Numéro July 2020, 2020, Page(s) 8
Éditeur:
Big Data Value Association (BDVA)
Auteurs:
Todor Ivanov, Ahmad Ghazal, Alain Crolotte, Pekka Kostamaa, Yoseph Ghazal
Publié dans:
Proceedings of the workshop on Testing Database Systems, 2020, Page(s) 1-6, ISBN 9781450380010
Éditeur:
ACM
DOI:
10.1145/3395032.3395324
Auteurs:
Todor Ivanov, Rekha Singhal
Publié dans:
Companion of the ACM/SPEC International Conference on Performance Engineering, 2020, Page(s) 50-53, ISBN 9781450371094
Éditeur:
ACM
DOI:
10.1145/3375555.3383121
Auteurs:
Pernici, Barbara; Francalanci, Chiara; Geronazzo, Angela; Lucia, Polidori; Stefano, Ray; Leonardo, Riva; Arne Jørgen Berre,; Todor, Ivanov
Publié dans:
XV Conference of the Italian Chapter of AIS, Numéro 2018, 2018
Éditeur:
-
Auteurs:
Todor Ivanov, Patrick Bedué, Ahmad Ghazal, Roberto V. Zicari
Publié dans:
Proceedings of the Workshop on Testing Database Systems - DBTest'18, Numéro 15 June 2018, 2018, Page(s) 1-6, ISBN 9781-450358262
Éditeur:
ACM Press
DOI:
10.1145/3209950.3209956
Auteurs:
Todor Ivanov, Jason Taafe
Publié dans:
Companion of the 2018 ACM/SPEC International Conference on Performance Engineering - ICPE '18, Numéro 2018, 2018, Page(s) 141-146, ISBN 9781-450356299
Éditeur:
ACM Press
DOI:
10.1145/3185768.3186360
Auteurs:
Todor Ivanov, Rekha Singhal
Publié dans:
Companion of the 2018 ACM/SPEC International Conference on Performance Engineering - ICPE '18, Numéro 2018, 2018, Page(s) 13-16, ISBN 9781-450356299
Éditeur:
ACM Press
DOI:
10.1145/3185768.3186300
Auteurs:
Richard Stevens, Gabriella Cattaneo, Helena Schwenk, Cristina Pepato, Christopher Ostberg Hansen, Nuria De Lama Sanchez, Tomas Pariente Lobo, Chiara Francalanci, Barbara Pernici, Angela Geronazzo, Paolo Giacomazzi, Lucia Polidori, Arne Jørgen Berre, Volker Hoffman, Marko Grobelnik, James Hodson, and Todor Ivanov, Roberto V. Zicari
Publié dans:
Proceedings of The 24th ACM SIGKDD International Conference on Knowledge Discovery Data Mining (KDD’18), 2018, ISBN 978-1-4503-5552-0
Éditeur:
ACM
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