ACTUALITÉS (tout voir)

80 ans du CNRS

En 2019, le CNRS fête ses 80 ans (et le laboratoire I3S ses 30 ans). La délégation régionale du CNRS Côte d'Azur (DR20) dont fait partie le laboratoire propose des manifestations pendant toute l'année 2019.

Melpomeni Dimopoulou best student award à EUSIPCO 2019

Melpomeni Dimopoulou, doctorante dans l'équipe SIS, a obtenu le "best student award" à EUSIPCO 2019 (27th European Signal Processing Conference) pour son article "A biologically constrained encoding solution for long-term storage of images onto synthetic DNA".

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Karima Boudaoud récompensée aux Trophées Women In Tech Sud

Jeudi 12 septembre 2019, Karima Boudaoud, équipe Sparks, a reçu le prix recherche aux trophées Women In Tech Sud.

Séminaire de Thomas Ehrhard

Mardi 17 septembre 2019, en salle Kahn - centre INRIA Sophia Méditerranée, Thomas Ehrhard, DR CNRS à l'IRIF, présente ses travaux intitulés "Derivatives and distances on probabilistic programs".

ISCW 2019

Fabien Gadon, équipe SPARKS, est genral chair de la conférence ISWC, The 18th International Semantic Web Conference, October 26 – 30, 2019, The University of Auckland, New Zealand.

Pour en savoir plus : consultez le site de ISWC 2019
CSBIO 2019

Du 4 au 7 décembre 2019, sur le campus Valrose, l'équipe MDSC, et en particulier Elisabetta De Maria (General Chair et Conference Program co-Chair), co-organise la 10eInternational Conference on Computational Systems-Biology and Bioinformatics (CSBio 2019).

Site de la conférence CSBIO 2019



It's on the SophiaTech campus in the heart of the Sophia Antipolis technology park our laboratory conducts research in the field of information science and communication.
"Advancing knowledge, consider the economic and technological realities, while imagining tomorrow's solutions."

The I3S laboratory is one of the largest information and communication science laboratories in the French Riviera. it was one of first ones to settle down on Sophia Antipolis Science and Technology Park. It consists of a little less than 300 people. [+...]

In partnership with CNRS and INRIA, and numerous industrial collaborations, we work on the themes of innovative research at the cutting edge of science and technology: systems and networks ubiquitous, biology and digital health, modeling for environment interactions and practices. [+...]


The laboratory is organized in 4 teams:

COMRED team (French acronym for Communications, Networks, Embedded Systems, Distributed Systems)
MDSC team (French acronym for Discrete Models for Complex System)
SIS team (Signal, Image and Systems)
SPARKS team (Scalable and Pervasive softwARe and Knowledge Systems)

The 5 latest submissions recorded in HAL

Simon Bienz, Andrei Ciortea, Simon Mayer, Fabien Gandon, Olivier Corby.
Escaping the Streetlight Effect: Semantic Hypermedia Search Enhances Autonomous Behavior in the Web of Things.
The 9th International Conference on the Internet of Things (IoT 2019), Oct 2019, Bilbao, Spain. ⟨10.1145/1122445.1122456⟩
Karyna Gogunska, Chadi Barakat, Guillaume Urvoy-Keller.
Tuning optimal traffic measurement parameters in virtual networks with machine learning.
IEEE International Conference on Cloud Networking (CloudNet 2019), Nov 2019, Coimbra, Portugal
Benjamin Benni, Sébastien Mosser, Naouel Moha, Michel Riveill.
A delta‐oriented approach to support the safe reuse of black‐box code rewriters.
Journal of Software: Evolution and Process, John Wiley & Sons, Ltd., 2019, 31 (8), ⟨10.1002/smr.2208⟩
Julien Bensmail, Jakub Przybyƚo.
Decomposability of graphs into subgraphs fulfilling the 1-2-3 Conjecture.
Discrete Applied Mathematics, Elsevier, 2019, ⟨10.1016/j.dam.2019.04.011⟩
Sören Boyn, Julie Grollier, Gwendal Lecerf, Bin Xu, Nicolas Locatelli, Stéphane Fusil, Stéphanie Girod, Cécile Carrétéro, Karin Garcia, Stéphane Xavier, Jean Tomas, Laurent Bellaiche, Manuel Bibes, Agnès Barthélémy, Sylvain Saïghi, Vincent Garcia.
Learning through ferroelectric domain dynamics in solid-state synapses.
Nature Communications, Nature Publishing Group, 2017, 8 (1), ⟨10.1038/ncomms14736⟩


Alessio Pagliari, Fabrice Huet, Guillaume Urvoy-Keller. On the Cost of Acking in Data Stream Processing Systems. 2019 19th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGRID)

Data Stream Processing, Message Reliability, Apache Storm, Acking Framework, Scheduling

The widespread use of social networks and applications such as IoT networks generates a continuous stream of data that companies and researchers want to process, ideally in real-time. Data stream processing systems (DSP) enable such continuous data analysis by implementing the set of operations to be performed on the stream as directed acyclic graph (DAG) of tasks. While these DSP systems embed mechanisms to ensure fault tolerance and message reliability, only few studies focus on the impact of these mechanisms on the performance of applications at runtime. In this paper, the authors demonstrate the impact of the message reliability mechanism on the performance of the application. They use an experimental approach, using the Storm middleware, to study an acknowledgment-based framework. They compare the two standard schedulers available in Storm with applications of various degrees of parallelism, over single and multi cluster scenarios. The authors show that the acking layer may create an unforeseen bottleneck due to the acking tasks placement; a problem which, to the best of their knowledge, has been overlooked in the scientific and technical literature. The authors propose two strategies for improving the acking tasks placement and demonstrate their benefit in terms of throughput and latency.