Detection of Abnormal Vessel Behaviours from AIS data using GeoTrackNet: from the Laboratory to the Ocean

Autor: Nguyen, Duong, Simonin, Matthieu, Hajduch, Guillaume, Vadaine, Rodolphe, Tedeschi, Cédric, Fablet, Ronan

The constant growth of maritime traffic leads to the need of automatic anomaly detection, which has been attracting great research attention. Information provided by AIS (Automatic Identification System) data, together with recent outstanding progres

Externí odkaz: http://arxiv.org/abs/2008.05443

Rule-driven service coordination middleware for scientific applications

Autor: Fernandez, Hector, Tedeschi, Cédric, Priol, Thierry

Publikováno v: In Future Generation Computer Systems June 2014 35:1-13

Split and migrate: Resource-driven placement and discovery of microservices at the edge

Autor: Tato, Genc, Bertier, Marin, Rivière, Etienne, Tedeschi, Cédric

Publikováno v: OPODIS 2019 : 23rd International Conference On Principles Of Distributed Systems
OPODIS 2019 : 23rd International Conference On Principles Of Distributed Systems, Dec 2019, Neuchâtel, Switzerland. pp.1-16, ⟨10.4230/LIPIcs.OPODIS.2019.29⟩

Microservices architectures combine the use of fine-grained and independently-scalable services with lightweight communication protocols, such as REST calls over HTTP. Microservices bring flexibility to the development and deployment of application b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2f25774604fa8d13c1e74e7efeeafd9
https://hal.inria.fr/hal-02401933/document

ShareLatex on the Edge: Evaluation of the Hybrid Core/Edge Deployment of a Microservices-based Application

Autor: Tato, Genc, Bertier, Marin, Riviere, Etienne, Tedeschi, Cédric, 3rd Workshop on Middleware for Edge Clouds & Cloudlets

Publikováno v: MECC 2018-3rd Workshop on Middleware for Edge Clouds & Cloudlets
MECC 2018-3rd Workshop on Middleware for Edge Clouds & Cloudlets, Dec 2018, Rennes, France. pp.1-6, ⟨10.1145/3286685.3286687⟩
MECC@Middleware

International audience; Collaborative web applications benefit from good responsiveness. This can be difficult to achieve with deployments on core data centers subject to high network latencies. Hybrid deployments using a mix of core and edge resourc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::778ae05a18bccd2ef233c26210cfade4
https://inria.hal.science/hal-01942807/document

Next step for Big Data Infrastructure and Analytics for the Surveillance of the Maritime Traffic from AIS \& Sentinel Satellite Data Streams

Autor: Fablet, Ronan, Bellec, Nicolas, Chapel, Laetitia, Friguet, Chloe, Garello, René, Gloaguen, Pierre, Hajduch, Guillaume, Lefevre, Sebastien, Merciol, François, Morillon, Pascal, Morin, Christine, Simonin, Mathieu, Tavenard, Romain, Tedeschi, Cédric, Vadaine, Rodolphe

Publikováno v: Proceedings BiDS 2017 : Big Data from Space Conference
BiDS 2017 : Big Data from Space Conference
BiDS 2017 : Big Data from Space Conference, Nov 2017, Toulouse, France
BiDS' 2017-Conference on Big Data from Space
BiDS' 2017-Conference on Big Data from Space, Nov 2017, Toulouse, France. pp.1-4

International audience; The surveillance of the maritime traffic is a major issue for security and monitoring issues. Spaceborne technologies, especially satellite AIS ship tracking and high-resolution imaging, open new avenues to address these issue

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::550a8acdbb2839258e7e592a54323867
https://hal.science/hal-01756071