Team, Visitors, External Collaborators
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
XML PDF e-pub
PDF e-Pub

Section: New Results

Programming Support

Participants : Maverick Chardet, Hélène Coullon, Thomas Ledoux, Jacques Noyé, Dimitri Pertin, Simon Robillard, Hamza Sahli, Charlène Servantie.

Our contributions regarding programming support are divided in two topics. First, we focused on one specific challenge related to distributed software deployment: distributed software commissioning. We have proposed a useful approach for introducing model checking to help system operators design their parallel distributed software commissioning. Then, we focused on Fog formalization and we have proposed a fully graphical process algebraic formalism to design a Fog system.

In [12], MADA, a deployment approach to facilitate the design of efficient and safe distributed software commissioning is presented. MADA is built on top of the Madeus formal model that focuses on the efficient execution of installation procedures. Madeus puts forward more parallelism than other commissioning models, which implies a greater complexity and a greater propensity for errors. MADA provides a new specific language on top of Madeus that allows the developer to easily define the properties that should be ensured during the commissioning process. Then, MADA automatically translates the description to a time Petri net and a set of TCTL formulae. MADA is evaluated on the OpenStack commissioning.

About Fog formalization, we present a novel formal model defining spatial and structural aspects of Fog-based systems using Bigraphical Reactive Systems, a fully graphical process algebraic formalism [17]. The model is extended with reaction rules to represent the dynamic behavior of Fog systems in terms of self-adaptation. The notion of bigraph patterns is used in conjunction with boolean and temporal operators to encode spatio-temporal properties inherent to Fog systems and applications. The feasibility of the modelling approach is demonstrated via a motivating case study and various self-adaptation scenarios.

Overall, the number of contributions we made this year on the programming support topic is less significative than the previous one. However, we would like to underline that it does not reflect the recent efforts we put. In particular, the team has strongly developed the field of dynamic reconfiguration of distributed software systems and expects to get important results during 2020.