Section: Partnerships and Cooperations

National Initiatives

PIA ANSWER

Participants : Konstantin Avrachenkov, Abhishek Bose, Kishor Yashavant Patil.

Project Acronym:

ANSWER

Project Title:

Advanced aNd Secured Web Experience and seaRch

Coordinator:

QWANT

Duration:

15 November 2017 – 31 December 2020

Others Partners:

Inria Project-Teams WIMMICS, INDES, COFFEE

Abstract:

ANSWER is a joint project between Qwant and Inria, funded by the French Government's initiative PIA “Programme d'Investissement d'Avenir”.

The aim of the ANSWER project is to develop the new version of the search engine http://www.qwant.com by introducing radical innovations in terms of search criteria as well as indexed content and security. This initiative is a part of the Big Data Big Digital Challenges field, since a Web search engine deals with large volumes of heterogeneous and dynamic data.

Of the five characteristics of big data, the ANSWER project will focus more particularly on the aspects of Velocity in terms of near real-time processing of results, and Variety for the integration of new indicators (emotions, sociality, etc.) and meta-data. The Volume, Value and Veracity aspects will necessarily be addressed jointly with these first ones and will also be the subject of locks, especially on the topics of crawling and indexing.

This registration of the search engine in the Big Data domain will only be reinforced by developments in the Web such as the Web of data, and generally by the current trend to integrate the Web of increasingly diverse, rich and complex resources.

ANR MAESTRO5G

Participant : Eitan Altman.

Project Acronym:

MAESTRO5G

Project Title:

MAnagEment of Slices in The Radio access Of 5G networks

Coordinator:

Orange Labs

Duration:

February 2019 – January 2022

Others Partners:

Nokia Bell Labs, Univ Avignon, Inria Project-Team Agora , Sorbonne Univ, Telecom SudParis, CentraleSupélec.

Abstract:

The project develops enablers for implementing and managing slices in the 5G radio access network, not only for the purpose of serving heterogeneous services, but also for dynamic sharing of infrastructure between operators. MAESTRO-5G develops a framework for resource allocation between slices and a business layer for multi-tenant slicing. It provides an orchestration framework based on Software Define Networking that manages resources and virtual functions for slices. A hardware demonstrator brings the slicing concept to reality and showcases the project’s innovations.