Daniel Field
Atos
5 Papers
25 Citations
Daniel Field is an academic researcher from Atos. The author has contributed to research in topics: The Internet & Stakeholder. The author has an hindex of 3, co-authored 5 publications.
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Papers
The MegaM@Rt2 ECSEL Project: MegaModelling at Runtime — Scalable Model-Based Framework for Continuous Development and Runtime Validation of Complex Systems
Wasif Afzal,Hugo Bruneliere,Davide Di Ruscio,Andrey Sadovykh,Silvia Mazzini,Eric Cariou,Dragos Truscan,Jordi Cabot,Daniel Field,Luigi Pomante,Pavel Smrz +10 more
- 30 Aug 2017
TL;DR: This paper presents an overview of the ECSEL project entitled "MegaModelling at runtime -- Scalable model-based framework for continuous development and runtime validation of complex systems" (MegaM@Rt2), whose aim is to address the above mentioned challenges facing MDE.
An approach to investigating socio-economic tussles arising from building the future internet
Costas Kalogiros,Costas Courcoubetis,George D. Stamoulis,Michael Boniface,Eric T. Meyer,Martin Waldburger,Daniel Field,Burkhard Stiller +7 more
TL;DR: The research of the SESERV project is presented, which develops a methodology to investigate conflicts and is carrying out a survey of tussles identified within the research projects funded under the Future Networks topic of the FP7.
•Posted Content
An Approach to Investigating Socio-Economic Tussles Arising from Building the Future Internet
Constantinos Kalogiros,Constantinos Courcoubetis,Georgios Stamoulis,Boniface Michael,Eric T. Meyer,Eric T. Meyer,Martin Waldburger,Daniel Field,Burkhard Stiller +8 more
TL;DR: In this article, the authors present the research of the SESERV project, which develops a methodology to investigate such conflicts and is carrying out a survey of tussles identified within the research projects funded under the Future Networks topic of the FP7.
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Data Movement in the Internet of Things Domain
Francesco D'Andria,Daniel Field,Aliki Kopaneli,George Kousiouris,David García-Pérez,Barbara Pernici,Pierluigi Plebani +6 more
- 15 Sep 2015
TL;DR: Managing data produced in the Internet of Things according to the traditional data-center based approach is becoming no longer appropriate because devices are improving their computational power as the processors installed on them are more and more powerful and diverse.