Livrables
Research and development of appropriate microservices for enforcing security at the PrEstoCloud platform.
Autonomic Data-Intensive Application Manager - Iteration 2This deliverable will provide the application manager with the meta-scheduling capabilities for big data processes
Spatiotemporal Processing Capabilities - Iteration 2This deliverable will report on the second iteration of the spatio-temporal processing mechanism with enhanced ad-hoc autonomous computing capabilities in order to cope with poor network coverage situations.
Mobile Context Analyser - Iteration 1This deliverable will report on the first iteration of the context model and the inferencing engine for analysing contextual information derived from any resources at the extreme edge of the network.
Mobile Offloading Processing Microservice - Iteration 1This deliverable will report on the first iteration of the Mobile Offloading Processing microservice that will follow the instructions of the Autonomic Resources Manager for finding appropriate mobile devices and efficiently offloading processing nodes from the RTPN.
Placement algorithms and implementation - Iteration 2This deliverable provides the algorithms and implementation of the placement and scheduling over the cloud infrastructure extended to the extreme edge of the network.
Integrated PrEstoCloud platform & installation manual - Iteration 3This version will be a release (without report) of the final version of the PrEstoCloud platform, based on findings and improvements considered after the 2nd pilots’ evaluation (WP6).
Inter-site Network Virtualization Orchestrator - Iteration 1This deliverable will report on the first iteration of the orchestrator mechanism for managing the inter-site network virtualization.
Fog Deployment and Monitoring Services - Iteration 2This deliverable will provide the implementation of the monitoring services for the Fog/Cloud infrastructure.
PrEstoCloud Security Enforcement Mechanism - Iteration 2Research and development of appropriate microservices for enforcing security at the PrEstoCloud platform.
Mobile Context Analyser - Iteration 2This deliverable will report on the second iteration of the context model and the inferencing engine for analysing contextual information derived from any resources at the extreme edge of the network.
Autonomic Data-Intensive Application Manager - Iteration 1This deliverable will provide the application manager with the meta-scheduling capabilities for big data processes
Fog Deployment and Monitoring Services - Iteration 1This deliverable will provide the implementation of the monitoring services for the Fog/Cloud infrastructure.
Workload predictor - Iteration 2Algorithms and mechanisms for cloud workload prediction adapted to PrEstoCloud based data-intensive processing applications.
Mobile Offloading Processing Microservice - Iteration 2This deliverable will report on the second iteration of the Mobile Offloading Processing microservice that will follow the instructions of the Autonomic Resources Manager for finding appropriate mobile devices and efficiently offloading processing nodes from the RTPN.
Placement algorithms and implementation - Iteration 1This deliverable provides the algorithms and implementation of the placement and scheduling over the cloud infrastructure extended to the extreme edge of the network.
Inter-site Network Virtualization Orchestrator - Iteration 2This deliverable will report on the second iteration of the orchestrator mechanism for managing the inter-site network virtualization.
Workload predictor - Iteration 1Algorithms and mechanisms for cloud workload prediction adapted to PrEstoCloud based data-intensive processing applications.
Resources Adaptation & Data-intensive Application Recommenders - Iteration 2This deliverable will report on the two PrEstoCloud recommenders in the second iteration. It includes the research and development of two microservices: i) the first one is able to recommend at the appropriate time, the necessary adaptations of the RTPN, ii) the second one will assist in the appropriate fragmentation of data-intensive applications into smaller parts that can be efficiently deployed over network resources.
Integrated PrEstoCloud platform & installation manual - Iteration 2This version will include a fully functional prototype and description of the PrEstoCloud platform.
PrEstoCloud Situation Detection Mechanism - Iteration 2Research and development of a situation detection mechanism that recognizes interesting situations that might lead to resources adaptation recommendations or data-intensive application reconfiguration or redeployments. The first version of this deliverable also includes a report on the meta-model that captures all the important aspects for enhancing with situation awareness the PrEstoCloud platform.
Autonomic Resource Manager - Iteration 2This deliverable will provide a demonstrating prototype of the cloud /fog resource manager which will be given in the second iteration
Autonomic Resource Manager - Iteration 1This deliverable will provide a demonstrating prototype of the cloud /fog resource manager which will be given in the iteration
Communication Broker - Iteration 1This deliverable will include the deployment of enterprise service bus that will support the basic publish/subscribe functionalities. In addition, it will provide the necessary adapters for plugging into the PrEstoCloud platform the Big Data streams of the project’s pilots.
Communication Broker - Iteration 2This deliverable will include the deployment of enterprise service bus that will support the basic publish/subscribe functionalities. In addition, it will provide the necessary adapters for plugging into the PrEstoCloud platform the Big Data streams of the project’s pilots.
PrEstoCloud Situation Detection Mechanism - Iteration 1Research and development of a situation detection mechanism that recognizes interesting situations that might lead to resources adaptation recommendations or data-intensive application reconfiguration or redeployments. The first version of this deliverable also includes a report on the meta-model that captures all the important aspects for enhancing with situation awareness the PrEstoCloud platform.
Integrated PrEstoCloud platform & installation manual - Iteration 1This version will include a description of the implementation and integration undertaken along with a detailed definition of the prototypical system and the installation manual
Spatiotemporal Processing Capabilities - Iteration 1This deliverable will report on the first iteration of the spatio-temporal processing mechanism with enhanced ad-hoc autonomous computing capabilities in order to cope with poor network coverage situations.
Resources Adaptation & Data-intensive Application Recommenders - Iteration 1This deliverable will report on the two PrEstoCloud recommenders in the first iteration. It includes the research and development of two microservices: i) the first one is able to recommend at the appropriate time, the necessary adaptations of the RTPN, ii) the second one will assist in the appropriate fragmentation of data-intensive applications into smaller parts that can be efficiently deployed over network resources.
This deliverable gives a bird’s view on the general architecture of the system and should lay a foundation for the integration. Each component will be described through its functional and non-functional requirements.
Architecture of the PrEstoCloud platformGathering of all components to take part of the integrated system. Design of the system architecture. Refinement of requirements based on the technology developed in the first year of the project.
PrEstoCloud showcase - Iteration 2This 2nd version will present promotion material, demonstration workflows, and the fully functional PrEstoCloud showcase ready to be demo-able to the public.
Training Report - Iteration 1This deliverable includes a report on training activities along with the training material the PrEstoCloud consortium will produce.
PrEstoCloud WhitepaperWhite paper analysing the pilot results and defining the roadmap for the successive industrialisation of the pilots.
Dissemination and Standardisation Plan and actions - Iteration 2This deliverable describes the dissemination policy of the project, defining the target audience, the methodology and approach of our dissemination. Report on the dissemination activities, including applied dissemination methodology and examples of achieved scientific publications. Moreover, this document will discuss adoption and contributions to standardisation activities.
Assessment of the PrEstoCloud integrated platform - Iteration 1This version of this deliverable will include the assessment results of extensive performance testing.
Communication Roadmap & Activities Report - Iteration 1This iteration of this deliverable will report on the expected project outputs and communication activities and will prepare the project’s website, short reports, press releases, whitepapers and flyers.
Communication Roadmap & Activities Report - Iteration 2This iteration will report on the accomplished communication activities.
Requirements for the PrEstoCloud PlatformThis deliverable will collect initial requirements for PrEstoCloud platform in terms of functionality, interfaces (hardware and software) and information flow. Well-established methodologies for system requirements capturing and description will be used to minimise risks from the wide scope of the PrEstoCloud platform.
Dissemination and Standardisation Plan and actions - Iteration 1This deliverable describes the dissemination policy of the project, defining the target audience, the methodology and approach of our dissemination. Report on the dissemination activities, including applied dissemination methodology and examples of achieved scientific publications. Moreover, this document will discuss adoption and contributions to standardisation activities.
Report on scientific and technological state-of-the-art analysisThis deliverable will report on the current related work in all the relevant research areas of PrEstoCloud project. Additionally, it will provide description of the pre-existing tools available within the consortium or open-source and repository available for the rest of the project partners.
Communication Roadmap & Activities Report - Iteration 3This iteration will report on the accomplished communication activities.
Dissemination and Standardisation Plan and actions - Iteration 3This deliverable describes the dissemination policy of the project, defining the target audience, the methodology and approach of our dissemination. Report on the dissemination activities, including applied dissemination methodology and examples of achieved scientific publications. Moreover, this document will discuss adoption and contributions to standardisation activities.
Training Report - Iteration 2This deliverable includes a report on training activities along with the training material the PrEstoCloud consortium will produce.
Assessment of the PrEstoCloud integrated platform - Iteration 2This 2nd evaluation contains results testing usability and performance testing using real Big-Data streams.
PrEstoCloud showcase - Iteration 1This 1st version will contain a specification of the PrEstoCloud industry showcase including design of promotion material and requirements for software needed to run the showcase.
PrEstoCloud Semantic modelThis deliverable will describe a semantic model that will allow Big Data application developers to annotate their code with respect to data-intensive application fragmentation and deployment.
Format and procedures for plugging in real-time data streamsThis deliverable will provide format, procedures and adaptors for plugging Big Data streams to the PrEstoCloud platform.
Project KPI ReportWithin the first 4 months of the project, a set of Key Performance Indicators (KPIs) will be developed and agreed with the Project Officer.
first update of the data management plan as preparation of m18 review
Initial Data Management PlanThis deliverable will clarify which of data will be made openly available.
Data Management Plan Update 2final update of the data management plan as preparation of m36 review
Publications
Auteurs:
Tsagkaropoulos, Andreas; Verginadis, Giannis; Apostolou, Dimitris; Mentzas, Gregoris
Publié dans:
8th International Conference on Information, Intelligence, Systems and Applications IISA 2017, 28-30 August 2017, Numéro 2, 2017
Éditeur:
IEEE
DOI:
10.5281/zenodo.1133312
Auteurs:
Kioumourtzis, George; Skitsas, Michael; Zotos, N; Sideris, A
Publié dans:
8th International Conference on Information, Intelligence, Systems & Applications (IISA), Numéro 1, 2017
Éditeur:
IEEE
DOI:
10.5281/zenodo.1138596
Auteurs:
Stojanovic, Nenad; Dinic, Marko; Stojanovic, Ljiljana
Publié dans:
2017 IEEE International Conference on Big Data, Numéro 3, 2017
Éditeur:
IEEE
DOI:
10.5281/zenodo.1159124
Auteurs:
Verginadis, Yiannis; Alshabani, Iyad; Mentzas, Gregoris; Stojanovic, Nenad
Publié dans:
7th International Conference on Cloud Computing and Services Science (CLOSER 2017), 24-26 April 2017, Numéro 3, 2017
Éditeur:
SciTePress
DOI:
10.5281/zenodo.1133307
Auteurs:
Alessio Pagliari; Quentin Jacquemart; Guillaume Urvoy-Keller
Publié dans:
ACM Internet Measurement Conference 2017, Nov 1-3, London, UK, 2017
Éditeur:
ACM
Auteurs:
Fabien Hermenier, Ludovic Henrio
Publié dans:
Proceedings of the 2017 Symposium on Cloud Computing - SoCC '17, 2017, Page(s) 15-26, ISBN 9781-450350280
Éditeur:
ACM Press
DOI:
10.1145/3127479.3128608
Auteurs:
D. Lopez Pacheco, Q. Jacquemart, A. Segalini, M. Rifai, M. Dione, G. Urvoy-Keller
Publié dans:
Proceedings of the 2017 Symposium on Cloud Computing - SoCC '17, 2017, Page(s) 645-645, ISBN 9781-450350280
Éditeur:
ACM Press
DOI:
10.1145/3127479.3128604
Auteurs:
Andrea Segalini; Dino Lopez Pacheco; Quentin Jacquemart; Myriana Rifai; Guillaume Urvoy-Keller; and Marcos Dione
Publié dans:
18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2018), 2018
Éditeur:
IEEE/ACM
Auteurs:
Yevgeniya Sulema ; Noam Amram ; Oleksii Aleshchenko ; Olena Sivak
Publié dans:
European Wireless 2018; 24th European Wireless Conference, 2018
Éditeur:
IEEE
Auteurs:
Salman Taherizadeh, Blaz Novak, Marija Komatar, Marko Grobelnik
Publié dans:
2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), 2018, Page(s) 522-527, ISBN 978-1-5386-2666-5
Éditeur:
IEEE
DOI:
10.1109/COMPSAC.2018.10288
Auteurs:
Salman Taherizadeh, Blaz Novak, Sebastjan Vagaja, Marija Komatar and Marko Grobelnik
Publié dans:
KDD 2018 Project Showcase Track, 2018
Éditeur:
n/a
Auteurs:
Andrea Segalini, Dino Lopez Pacheco, Quentin Jacquemart
Publié dans:
2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), 2018, Page(s) 233-242, ISBN 978-1-5386-5815-4
Éditeur:
IEEE
DOI:
10.1109/ccgrid.2018.00038
Auteurs:
Dimitris Apostolou; Nikos Papageorgiou; Yiannis Verginadis; Andreas Tsagkaropoulos; Gregoris Mentzas
Publié dans:
2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA), Numéro 5, 2018, Page(s) 1-8
Éditeur:
IEEE
DOI:
10.5281/zenodo.2359273
Auteurs:
Jacquemart, Quentin; Pigout, Clément; Urvoy-Keller, Guillaume
Publié dans:
Traffic Measurement and Analysis Conference (TMA), Numéro 1, 2019
Éditeur:
IEEE
Auteurs:
Ioannis Ledakis; Thanassis Bouras; George Kioumourtzis; Michalis Skitsas
Publié dans:
9th International Conference on Information, Intelligence, Systems and Applications (IISA), Numéro 5, 2018
Éditeur:
IEEE
DOI:
10.5281/zenodo.2359818
Auteurs:
Alessio Pagliari, Fabrice Huet, Guillaume Urvoy-Keller
Publié dans:
2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), 2019, Page(s) 331-340, ISBN 978-1-7281-0912-1
Éditeur:
IEEE
DOI:
10.1109/CCGRID.2019.00047
Auteurs:
Tsagkaropoulos, Andreas; Papageorgiou, Nikos; Apostolou, Dimitris; Verginadis, Yiannis; Mentzas, Gregoris
Publié dans:
Proceedings of the 8th International Conference on Cloud Computing and Services Science, Numéro 3, 2018
Éditeur:
SCITEPRESS
DOI:
10.5281/zenodo.1309530
Auteurs:
Jacquemart, Quentin; Vitali, Alessandro,; Urvoy-Keller, Guillaume
Publié dans:
https://hal.archives-ouvertes.fr/hal-02128052, Numéro 2, 2019
Éditeur:
hal.archives-ouvertes
Auteurs:
Salman Taherizadeh, Vlado Stankovski
Publié dans:
The Computer Journal, 2018, ISSN 0010-4620
Éditeur:
Oxford University Press
DOI:
10.1093/comjnl/bxy043
Auteurs:
Nikos Papageorgiou; Yiannis Verginadis; Dimitris Apostolou; Gregoris Mentzas
Publié dans:
IEEE Instrumentation and Measurement, 2019, ISSN 1094-6969
Éditeur:
Institute of Electrical and Electronics Engineers
DOI:
10.5281/zenodo.3559694
Auteurs:
Salman Taherizadeh, Vlado Stankovski, Marko Grobelnik
Publié dans:
Sensors, Numéro 18/9, 2018, Page(s) 2938, ISSN 1424-8220
Éditeur:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/s18092938
Auteurs:
Harald Schoening, Software AG
Publié dans:
SummerSoc 2017, Numéro 1, 2017
Éditeur:
SummerSoc 2017
DOI:
10.5281/zenodo.1323698
Auteurs:
Nikos Papageorgiou, Dimitris Apostolou, Yiannis Verginadis, Andreas Tsagkaropoulos, Gregoris Mentzas
Publié dans:
Web, Artificial Intelligence and Network Applications - Proceedings of the Workshops of the 33rd International Conference on Advanced Information Networking and Applications (WAINA-2019), Numéro 927, 2019, Page(s) 985-995, ISBN 978-3-030-15034-1
Éditeur:
Springer International Publishing
DOI:
10.1007/978-3-030-15035-8_97
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