Members
Overall Objectives
Research Program
Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
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Section: Partnerships and Cooperations

International Initiatives

Inria International Partners

Declared Inria International Partners
Dependability of dynamic distributed systems for ad-hoc networks and desktop grid (ONDINA) (2011-2013)
Members:

Inria Paris Rocquencourt (REGAL), Inria Rhone-Alpes (Avalon), UFBA (Bahia, Brazil))

Funding:

Inria

Objectives:

Modern distributed systems deployed over ad-hoc networks, such as MANETs (wireless mobile ad-hoc networks), WSNs (wireless sensor networks) or Desktop Grid are inherently dynamic and the issue of designing reliable services which can cope with the high dynamics of these systems is a challenge. This project studies the necessary conditions, models and algorithms able to implement reliable services in these dynamic environments.

Enabling Collaborative Applications For Desktop Grids (ECADeG) (2011–2013)
Members:

Inria Paris Rocquencourt (REGAL), USP (Sao Paulo, Brazil))

Funding:

Inria

Objectives:

The overall objective of the ECADeG research project is the design and implementation of a desktop grid middleware infrastructure for supporting the development of collaborative applications and its evaluation through a case study of a particular application in the health care domain.

Participation in other International Programs

Improving Clone Detection for Systems Software, Merlion Project - (2013)
Members:

Julia Lawall, Gilles Muller, Lisong Guo, Peter Senna Tschudin.

Funding:

Institut Français de Singapour.

Objectives:

Clone detection is a technique for finding similar code fragments scattered across a code base. Clone detection is potentially very relevant to operating systems code, as many operating system services, such as drivers for related devices, have similar functionalities, and thus similar implementations. Nevertheless, the application of clone detection to systems code has achieved only moderate success, finding clone rates of only 10-20% in Linux kernel code. The purpose of this project is to consider how clone detection can be more effectively used in systems code development, for e.g., code understanding or bug finding.