Road-, Air- and Water-based Future Internet Experimentation

Leistungen

High Level Design and Specification of RAWFIE Architecture (c)

This deliverable is based on the results of T4.1. It contains a high level design documentation of the proposed RAWFIE architecture and definition of the appropriate interfaces between components. Also, it includes the analysis of existing technological solutions in the areas related to RAWFIE concept. The document will be released as a live document in three phases/cycles according to the roadmap. Third phase.

High Level Design and Specification of RAWFIE Architecture (a)

RAWFIE Operational Platform Testing and Integration Report (b)

Report about integration results and all the technicalities required for the consolidation of the several components (S/W and H/W) of the RAWFIE architecture in a unified platform. Enhancements of the RAWFIE operational platform based on the outcomes of the testing procedures will be also recorded in this deliverable. The document will be released as a live document in three phases/cycles according to the roadmap. Second phase.

Open Calls, Report on Selection (c)

This deliverable documents the open call launch, submission, and selection of the open call proposals. Third phase

RAWFIE Operational Platform Testing and Integration Report (c)

Pilot Experimentation Scenarios for Validation and Testing (c)

This deliverable is based on the results of T4.1. It contains the definition of a set of test scenarios that will be performed in WP6 as well as the definition of the success criteria. Third phase.

Design and Specification of RAWFIE Components (c)

This deliverable is based on the findings within T4.2, T4.3 and T4.4. The report presents the detailed design documentation of RAWFIE components and resources. The document will be released as a live document in three phases/cycles according to the roadmap. Third phase.

High Level Design and Specification of RAWFIE Architecture (b)

Dissemination Activities

This deliverable documents all the dissemination activities undertaken by RAWFIE in order to disseminate the project results.

Community Building

This deliverable summarizes the efforts undertaken by RAWFIE to create a community of RAWFIE members and interested parties. It will contain the actions taken so far and guidelines about how to proceed in the future in order to maintain and expand the community.

Specification and Analysis of RAWFIE Components Requirements (c)

This deliverable will include the definition of the use cases regarding the components of the RAWFIE federation. It will provide a complete requirement analysis of the RAWFIE architectural components. More specifically, it will describe the requirements of the RAWFIE testbed, middleware and experimenters tools as well the UxV processing and control mechanisms. Third phase.

RAWFIE Platform Validation (c)

Detailed description of steps to be followed to overcome possible difficulties and problems. Third phase.

Training

This deliverable describes the training efforts undertaken by RAWFIE, so that the interested parties (testbed operators and experimenters) are aware of the possibilities of the platform, the relevant configuration options, and the experiment lifecycle in general.

RAWFIE Platform Validation (a)

Detailed description of steps to be followed to overcome possible difficulties and problems. First phase.

Open Calls, Final Report (b)

This deliverable contains the final report of the second open call, documenting the newly added functionality, lessons learned and best practices for adopting a new third party in the RAWF IE federation. Second phase.

RAWFIE Operational Platform Testing and Integration Report (a)

Pilot Experimentation Scenarios for Validation and Testing (b)

This deliverable is based on the results of T4.1. It contains the definition of a set of test scenarios that will be performed in WP6 as well as the definition of the success criteria. Second phase.

Open Calls, Final Report (a)

This deliverable contains the final report of the first open call, documenting the newly added functionality, lessons learned and best practices for adopting a new third party in the RAWF IE federation. First phase.

Open Calls, Report on Selection (a)

This deliverable documents the open call launch, submission, and selection of the open call proposals. (First phase)

Specification and Analysis of RAWFIE Components Requirements (b)

Open Calls, Final Report (c)

This deliverable contains the final report of the third open call, documenting the newly added functionality, lessons learned and best practices for adopting a new third party in the RAWFIE federation.Third phase

Specification and Analysis of RAWFIE Components Requirements (a)

Design and Specification of RAWFIE Components (b)

RAWFIE Platform Validation (b)

Detailed description of steps to be followed to overcome possible difficulties and problems. Second phase.

Pilot Experimentation Scenarios for Validation and Testing (a)

This deliverable is based on the results of T4.1. It contains the definition of a set of test scenarios that will be performed in WP6 as well as the definition of the success criteria. First phase.

Federation Policy

This deliverable will describe the rules and conditions, under which the RAWFIE Federation will operate. It will contain the general guidelines of the federation, its management structure, and procedures for new members’ annexation. It will define the financial, technical, and operational rules, and conflict resolution procedures. It will also define conditions and procedures to modify the Federation Policy

Open Calls, Report on Selection (b)

This deliverable documents the open call launch, submission, and selection of the open call proposals. Second phase.

Design and Specification of RAWFIE Components (a)

RAWFIE Architecture Prototype (b)

Working prototype of the RAWFIE operational platform. The platform will be released in three phases / cycles according to the roadmap. Second phase.

Data Management Plan 3

The Data Management Plan describes the data management life cycle for all data sets that will be collected, processed or generated by the research project. It is a document outlining how research data will be handled during a research project, and even after the project is completed, describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved.

Data Management Plan 1

Data Management Plan 2

Veröffentlichungen

Dynamic, Latency-Optimal vNF Placement at the Network Edge

Autoren: R. Cziva, C. Anagnostopoulos, D. P. Pezaros
Veröffentlicht in: IEEE Conference on Computer Communications (INFOCOM 2018), 2018
Herausgeber: IEEE Conference on Computer Communications (INFOCOM 2018)

Continuously Informed Heuristic A*–Optimal Path Retrieval Inside an Unknown Environment

Autoren: A. Ch. Kapoutsis, Ch. M. Malliou, S. A. Chatzichristofis, E. B. Kosmatopoulos
Veröffentlicht in: 15th IEEE International Symposium on Safety, Security, and Rescue Robotics 2017 (SSRR 2017), 2017
Herausgeber: 15th IEEE International Symposium on Safety, Security, and Rescue Robotics 2017 (SSRR 2017)

Learning with Feature Side-information, Workshop on Learning in High Dimensions with Structure in the context of Advances in Neural Information Processing Systems

Autoren: Amina Mollaysa, Pablo Strasser, Alexandros Kalousis
Veröffentlicht in: 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Herausgeber: 29: Annual Conference on Neural Information Processing Systems 2016

Analysis of a One-Dimensional Continuous Delay-Tolerant Network Model

Autoren: Cheliotis, D, Kontoyiannis, Ioannis ,Loulakis, M ,Toumpis, S
Veröffentlicht in: IEEE SPAWC 2018, 2018
Herausgeber: IEEE SPAWC 2018

Edge-centric Efficient Regression Analytics

Autoren: Harth, N. and Anagnostopoulos, C.
Veröffentlicht in: 2018 IEEE International Conference on Edge Computing (EDGE), 2018
Herausgeber: In: 2018 IEEE International Conference on Edge Computing (EDGE)

On the Optimality of Virtualized Security Function Placement in Multi-Tenant Data Centers

Autoren: Ali, A., Anagnostopoulos, C. and Pezaros, D. P.
Veröffentlicht in: IEEE International Conference on Communications (ICC 2018), 2018
Herausgeber: IEEE International Conference on Communications (ICC 2018)

Continual Classification Learning Using Generative Models

Autoren: Lavda, Frantzeska, et al.
Veröffentlicht in: Continual Learning Workshop NIPS 2018, 2018
Herausgeber: Continual Learning Workshop NIPS 2018

Analysis of Hybrid Geographic /Delay-Tolerant Routing Protocols for Wireless Mobile Networks

Autoren: Riccardo Cavallari , Stavros Toumpis , Roberto Verdone
Veröffentlicht in: Infocom 2018, 2018
Herausgeber: Infocom 2018

Variational Saccading: Efficient Inference for Large Resolution Images

Autoren: Ramapuram, Jason, et al.
Veröffentlicht in: Bayesian Deep Learning Workshop NIPS 2018, 2018
Herausgeber: Bayesian Deep Learning Workshop NIPS 2018

Large-scale Nonlinear Variable Selection via Kernel Random Features.

Autoren: Gregorová, Magda, Ramapuram, Jason and Kalousis, Alexandros
Veröffentlicht in: ECML PKDD 2018, 2018
Herausgeber: ECML PKDD 2018

Regularising Non-linear Models Using Feature Side-information

Autoren: Amina Mollaysa, Pablo Strasser, Alexandros Kalousis
Veröffentlicht in: Proceedings of the 34th International Conference on Machine Learning, ICML, 2017
Herausgeber: Proceedings of the 34th International Conference on Machine Learning, ICML

Investigating The Business Potential Of Internet Of Things

Autoren: Panagiota Papadopoulou, Kostas Kolomvatsos, K. Panagidi., Stathes Hadjiefthymiades
Veröffentlicht in: Mediterranean Conference on Information Systems (MCIS 2017), 2017
Herausgeber: In: Mediterranean Conference on Information Systems (MCIS 2017)

Sample-Efficient Imitation Learning via Generative Adversarial Nets

Autoren: Blondé Lionel and Alexandros Kalousis
Veröffentlicht in: AISTATS 2019, 2019
Herausgeber: AISTATS 2019

Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks

Autoren: Magda Gregorova, Alexandros Kalousis, Stephane Marchand-Maillet
Veröffentlicht in: Proceedings of the 9th Asian Conference on Machine Learning, {ACML} 2017, 2017
Herausgeber: Proceedings of the 9th Asian Conference on Machine Learning, {ACML} 2017

Asymptotics of the Packet Speed and Cost in a Mobile Wireless Network Model

Autoren: Kontoyiannis, Ioannis & Toumpis, Stavros & Cavallari, Riccardo & Verdone, R
Veröffentlicht in: 2018 IEEE International Symposium on Information Theory (ISIT), 2018
Herausgeber: 2018 IEEE International Symposium on Information Theory (ISIT)

Quality-aware Aggregation & Predictive Analytics at the Edge. IEEE International Conference on Big Data

Autoren: Harth, N., Anagnostopoulos, C.
Veröffentlicht in: IEEE Big Data 2017, 2017
Herausgeber: IEEE Big Data 2017

Internet of Things Applications and Services: The Case of RAWFIE project

Autoren: Papadopoulou, P., Kolomvatsos, K, Panagidi, K. and Hadjiefthymiades, E.
Veröffentlicht in: 11th Mediterranean Conference on Information Systems (MCIS), 2017
Herausgeber: 11th Mediterranean Conference on Information Systems (MCIS)

Advanced, Hardware Supported In-Network Processing for the Internet of Things

Autoren: Md Fasiul Alam, Stathes Hadjiefthymiades
Veröffentlicht in: 2nd international conference on Internet of things, Data and cloud computing, 2017
Herausgeber: 2nd international conference on Internet of things, Data and cloud computing

Publish-Subscribe Communication for Swarms of Unmanned Vehicles

Autoren: P. Dallemagne, D. Piguet, J.- D. Decotignie
Veröffentlicht in: CSEM Scientific and Technical Report, 2016
Herausgeber: CSEM

Adaptive Epidemic Dissemination as a Finite-Horizon Optimal Stopping Problem

Autoren: T. Kontos, C. Anagnostopoulos, E. Zervas and S. Hadjiefthymiades
Veröffentlicht in: Wireless Networks (WINET), 2018, ISSN 1572-8196
Herausgeber: Springer

An Experiment Description Language for Supporting Mobile IoT Applications

Autoren: K. Kolomvatsos, M. Tsiroukis, and S. Hadjiefthymiades
Veröffentlicht in: Building the Future Internet through FIRE, 2016, ISBN 9788-793519114
Herausgeber: River Publishers Series in Information Science and Technology

Forecasting and Granger Modelling with Non-linear Dynamical Dependencies

Autoren: Magda Gregorová, Alexandros Kalousis, Stéphane Marchand-Maillet
Veröffentlicht in: Machine Learning and Knowledge Discovery in Databases, Ausgabe 10535, 2017, Seite(n) 544-558, ISBN 978-3-319-71245-1
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-71246-8_33

DARP: Divide Areas Algorithm for Optimal Multi-Robot Coverage Path Planning

Autoren: Athanasios Ch. Kapoutsis, Savvas A. Chatzichristofis, Elias B. Kosmatopoulos
Veröffentlicht in: Journal of Intelligent & Robotic Systems, Ausgabe 86/3-4, 2017, Seite(n) 663-680, ISSN 0921-0296
Herausgeber: Kluwer Academic Publishers
DOI: 10.1007/s10846-016-0461-x

Augmented and virtual reality based monitoring and safety system: A prototype IoT platform

Autoren: Md Fasiul Alam; Serafeim Katsikas; Olga Beltramello; Stathes Hadjiefthymiades
Veröffentlicht in: Journal of Network and Computer Applications 89(July 2017) 109-119, Ausgabe 1, 2017, ISSN 1084-8045
Herausgeber: Academic Press
DOI: 10.5281/zenodo.2611096

Distributed Localized Contextual Event Reasoning under Uncertainty

Autoren: Kostas Kolomvatsos, Christos Anagnostopoulos, Stathes Hadjiefthymiades
Veröffentlicht in: IEEE Internet of Things Journal, 2016, Seite(n) 1-1, ISSN 2327-4662
Herausgeber: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/JIOT.2016.2638119

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