Personnel
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
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Section: Partnerships and Cooperations

National Initiatives

ANR STOCH-MC: Model-Checking of Stochastic Systems using approximated algorithms (2014-2018)

The aim of STOCH-MC is to perform model-checking of large stochastic systems, using controlled approximations. Two formalisms will be considered: Dynamic Bayesian Networks, which represent compactly large Markov Chains; and Markov Decision Processes, allowing non deterministic choices on top of probabilities.

ANR HeadWork: Human-Centric Data-oriented WORKflows (2016-2020)

The objective of this project is to develop techniques to facilite development, deployment, and monitoring of crowd-based participative applications. This requires handling complex workflows with multiple participants, incertainty in data collections, incentives, skills of contributors, ... To overcome these challenges, Headwork will define rich workflows with multiple participants, data and knowledge models to capture various kind of crowd applications with complex data acquisition tasks and human specificities. We will also address methods for deploying, verifying, optimizing, but also monitoring and adapting crowd-based workflow executions at run time.

IPL HAC-SPECIS: High-performance Application and Computers, Studying PErformance and Correctness In Simulation (2016-2020)

The Inria Project Lab HAC-SPECIS (High-performance Application and Computers, Studying PErformance and Correctness In Simulation, 2016-2020: http://hacspecis.gforge.inria.fr/) is a transversal project internal to Inria. The goal of the HAC SPECIS project is to answer the methodological needs raised by the recent evolution of HPC architectures by allowing application and runtime developers to study such systems both from the correctness and performance point of view. Inside this project, we collaborate with Martin Quinson (Myriads team) on the dynamic formal verification of high performance runtimes and applications. The PhD of The Anh Pham is granted by this project.

This year we have been mainly intrested in dynamic partial-order-reduction methods that allow to reduce the explored state space, and a first prototype implementation of an existing method that combines DPOR with true-concurrency models.

CNRS INS2I JCJC SensAs (2017)

Model-checking allows one to analyse the reliability of critical systems. There is currently an ongoing effort to extend formal verification and synthesis techniques to check non-functional properties such as performance, energy consumption or robustness, that are particularly important for real-time systems. SensAS is a project whose objective is to develop techniques to analyse the sensitivity of such systems with formal tools. In this context, a nominal behaviour, described with a deterministic timed automaton, is submitted to nondeterministic or stochastic perturbations. We seek then to quantify the variability of perturbed behaviours, giving formal guarantees on the computed result.

National informal collaborations

The team collaborates with the following researchers: