Livrables
Report describing data collection tools and integration into overall architecture with analysis of requirements and overall system design for flow based programming and design of the self-aware mechanisms for adaptability and dependability.
Second year update dissemination and exploitation planIt will update the progress on activities for the second year.
Analysis of existing reusable European and Japanese assetsThis deliverable will contain the description of existing assets from both EU and JP side (partners assets, SOTA technologies, open source components, etc.) and provide a SWOT analysis for the reusability of those assets.
Citizen centric use cases and requirementsThis deliverable will provide a selection of use cases from the partner cities, which will be identified by taking into account citizens’ real needs and requirements.
Self-aware distributed city data platform – first releaseThis deliverable will provide the description of the data collection and software tools including data distribution and the self-aware mechanisms for adaptability and dependability.
Programmable smart city – observations, and lessonsFinal report discussing the overall system and tools as well as observations and lessons learnt from the development and deployment in support of WP4 integration and pilot demonstrators.
Initial pilot operation planCommon pilot approach including details of the strategy for involving citizens in the design, personal data management, the actual trials and the evaluation phases.
Big Data Analytics Framework report - first releaseThis deliverable consists in a technical report of the first version of the Big Data Analytics Framework.
First year update to the dissemination and exploitation plan including first progress on business modelsIt will update the initial dissemination and exploitation plan and progress on activities. It will also include an updated version of the market analysis, stakeholder analysis, competitors analysis, value proposition and business model using as starting point the results of the ClouT project.
First BigClouT architectureThis deliverable will provide the first version of the BigClouT architecture, describing its components and relations amongst them.
Final pilot operation planThis deliverable will contain the update to the pilot operation approach initially planned based on the feedbacks from the interactions with the citizens, cities and the technical work packages.
Updated use cases, requirements and architectureThis deliverable will provide the final choice of the use cases, as well as the second and final iteration of the requirements and architecture specification. The final version will take into account the feedback and lessons learnt during the developments of the first year.
Big Data Analytics Framework ArchitectureThis deliverable contains a report about the logical architecture of the tools and frameworks of this work package.
Big Data Analytics Framework report - final releaseThis deliverable consists in a technical report of the final version of the Big Data Analytics Framework.
This deliverable consists in the first release of the Big Data Analytics Framework.
Self-aware programmable city data platform - demonstrationThis deliverable will demonstrate the self-aware city data platform integrating data collection and software tools, self-adaptability and dependability properties and its integration with the programming tools.
Distributed data flow programming toolThis deliverable will provide the description of the programming tool incorporating FOG/Cloudlets components.
Integrated use cases and first large-scale deployments and experimentationIt will provide the prototypes showcasing the implementation and experimentation of the integrated application scenarios as live trials in the associated cities. The prototypes will have a number of internal releases corresponding to the development progress but will be demonstrated at the project review meeting.
Integrated BigClouT platformThis deliverable provides a prototype integrating components from WP2 and WP3 and demonstrates how those components operate in an interoperable and dependable way. The prototype will be demonstrated with scenarios during the final review meeting.
Integrated use cases and final large-scale deployment and experimentationIt will provide the final prototypes showcasing the implementation and experimentation of the integrated application scenarios as live trials in the associated cities.
Data collection and redistribution framework - demonstrationFirst demonstrator of data collection and software tools including data distribution
This deliverable will set-up the communication toolkit and banding around the BigClouT project as well as an initial version of the project Website containing all public information on the project objectives, partners and workplan.
Publications
Auteurs:
Saki Nagaki,
Hiroyuki Kitagawa
Publié dans:
Proc. 19th International Conference on Information Integration and Web-based Applications & Services (iiWAS 2017), Numéro Dec. 4-6, 2017, 2017, Page(s) 405-414
Éditeur:
ACM
Auteurs:
Tomoki Tanimura, Makoto Kawano, Takuro Yonezawa, Jin Nakazawa
Publié dans:
Urb-IoT2018, Numéro November 21st 2018, 2018
Éditeur:
-
Auteurs:
Kento Akiyama,
Chisato Shinozuka,
Chiemi Watanabe,
Toshiyuki Amagasa,
Hiroyuki Kitagawa
Publié dans:
Proc. 19th International Conference on Information Integration and Web-based Applications & Services (iiWAS 2017), Numéro Dec. 4-6, 2017., 2017, Page(s) 215-223
Éditeur:
ACM
Auteurs:
Nam Giang, Victor Leung (The University of British Columbia, Canada), Makoto Kawano, Takuro Yonezawa, Jin Nakazawa (Keio University, Japan), Rodger Lea and Matt Broadbent (Lancaster University, U.K.)
Publié dans:
IWBigDataCity 2019 - 1st International Workshop on Big data, cloud, and IoT technologies for smart cities - In conjunction with IEEE BigComp 2019, Numéro February 27th , 2019, 2019
Éditeur:
IWBigDataCity 2019
Auteurs:
Aurelien Vialon, Kenji Tei, Samir Aknine
Publié dans:
2017 IEEE International Conference on Autonomic Computing (ICAC), 2017, Page(s) 233-238, ISBN 978-1-5386-1762-5
Éditeur:
IEEE
DOI:
10.1109/icac.2017.25
Auteurs:
Savong Bou, Hiroaki Shiokawa, Yasuhiro Hayase, Hiroyuki Kitagawa
Publié dans:
2019 IEEE International Conference on Big Data and Smart Computing (BigComp), 2019, Page(s) 1-8, ISBN 978-1-5386-7789-6
Éditeur:
IEEE
DOI:
10.1109/bigcomp.2019.8679149
Auteurs:
Shuta Nakamae,
Wataru Sakamoto,
Tetsuya Negishi,
Shuhei Goto,
Buntarou Shizuki,
Chiemi Watanabe,
Toshiyuki Amagasa
Publié dans:
10th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2018), Numéro March 19-21, 2018, 2018
Éditeur:
Springer
Auteurs:
Makoto Kawano, Takuro Yonezawa, Tomoki Tanimura, NamKy Giang, Matthew Broadbent, Rodger Lea, Jin Nakazawa
Publié dans:
Urb-IoT2018, Numéro November 21st 2018, 2018
Éditeur:
-
Auteurs:
Georgios Palaiokrassas, Vassilios Charlaftis, Antonios Litke, Theodora Varvarigou
Publié dans:
2017 International Conference on High Performance Computing & Simulation (HPCS), 2017, Page(s) 217-223, ISBN 978-1-5386-3250-5
Éditeur:
IEEE
DOI:
10.1109/hpcs.2017.41
Auteurs:
Georgios Palaiokrassas, Ilias Karlis, Antonios Litke, Vassilios Charlaftis, Theodora Varvarigou
Publié dans:
2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC), Numéro 11 September 2017, 2017, Page(s) 475-480, ISBN 978-1-5386-0367-3
Éditeur:
IEEE
DOI:
10.1109/compsac.2017.59
Auteurs:
Moeka Tanabe, Kenji Tei, Yoshiaki Fukazawa, Shinichi Honiden
Publié dans:
Proceedings of the Symposium on Applied Computing - SAC '17, 2017, Page(s) 1198-1204, ISBN 9781-450344869
Éditeur:
ACM Press
DOI:
10.1145/3019612.3019776
Auteurs:
Nam Ky Giang, Rodger Lea, Victor C. M. Leung
Publié dans:
IEEE Access, Numéro 6, 2018, Page(s) 31740-31749, ISSN 2169-3536
Éditeur:
Institute of Electrical and Electronics Engineers Inc.
DOI:
10.1109/access.2018.2844336
Auteurs:
Georgios Palaiokrassas, Athanasios Voulodimos, Antonios Litke, Athanasios Papaoikonomou, Theodora Varvarigou
Publié dans:
Inventions, Numéro 3/4, 2018, Page(s) 80, ISSN 2411-5134
Éditeur:
MDPI
DOI:
10.3390/inventions3040080
Auteurs:
Ehsan Ullah Warriach, Kenji Tei
Publié dans:
International Journal of Sensor Networks, Numéro 24/1, 2017, Page(s) 1, ISSN 1748-1279
Éditeur:
Inderscience Publishers
DOI:
10.1504/IJSNET.2017.084209
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