ACTUALITÉS (tout voir)

Jan
1
2019
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.
80ans-Cnrs-CA.jpg

Sep
12
2019
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.

Oct
4
2019
Online MR Image Reconstruction for Compressed Sensing Acquisition in T2* Imaging le Friday 4 October 2019 (All day), Salle de conférence du laboratoire I3S à Sophia Antipolis, venez échanger avec Philippe Ciuciu , CEA Research Director . Pour en savoir plus, consultez la page des évènements de SIS
Oct
26
2019
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
Dec
4
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

ACTUALITÉS

  • Sep
    27
    2019
    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.

  • Oct
    30
    2019
    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
  • Dec
    7
    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
  • Dec
    31
    2019
    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.
    80ans-Cnrs-CA.jpg

The I3S LABORATORY

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

Andrea Tomassilli, Giuseppe Di Lena, Frédéric Giroire, Tahiri Issam, Damien Saucez, Stephane Perennes, Thierry Turletti, R Sadykov, François Vanderbeck, Chidung Lac.
Bandwidth-optimal Failure Recovery Scheme for Robust Programmable Networks.
IEEE International Conference on Cloud Networking (CloudNet), Nov 2019, Coimbra, Portugal
Giovanni Liboni, Julien Deantoni.
WIP on a Coordination Language to Automate the Generation of Co-Simulations.
Forum on specification & Design Languages, Sep 2019, Southampton, United Kingdom
Houssam Elbouanani, Chadi Barakat, Guillaume Urvoy-Keller, Dino Lopez-Pacheco.
Collaborative Traffic Measurement in Virtualized Data Center Networks.
CloudNet 2019 - IEEE International Conference on Cloud Networking, Nov 2019, Coimbra, Portugal
 
Hamed Vahdat-Nejad, Massimo Panella, Gaëtan Rey.
Introduction to the special section on pervasive computing.
International Journal of Computers & Electrical Engineering, 2016, 55, pp.24-26. ⟨10.1016/j.compeleceng.2016.10.010⟩
 
Dario Assante, Elpidio Romano, Marta Flamini, Manuel Castro, Sergio Martin, Stéphane Lavirotte, Gaëtan Rey, Manfred Leisenberg, Marco Oreste Migliori, Irma Bagdoniene, Ricardo Tavio Gallo, Alcino Pascoal, Mario Spatafora.
Internet of Things education: Labor market training needs and national policies.
2018 IEEE Global Engineering Education Conference (EDUCON), Apr 2018, Tenerife, France. pp.1846-1853

FOCUS DU MOIS

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.