NSS - Networks, Systems and Services

NSS department of LORIA lab comprises people with research interests in large-scale networks (e.g., Internet and Internet of Things, network management and security),distributed and high performance computing systems (e.g., Grids, data centers), and services over the Internet (e.g., cloud computing, trustworthy service composition, data management and collaborative software).

NSS department is organized in following research teams.

AlGorille: Algorithms for the Grid


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The possible access to distributed computing resources on the internet allows for a new type of applications that use the power of the machines and the network. The transparent and efficient access to distributed resources that form The Grid is one of the major challenges of information technology. It needs the implementation of special technics and algorithms to make computers communicate with each other, let applications work together, allocate ressources and improve the quality of service and the security of the transactions.

Madynes: Managing Dynamic Networks and Services

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MADYNES is a research team affiliated with the University of Nancy federation and INRIA. The team is located in the joint INRIA Grand Est and LORIA premise. The team develops applied and experimental research dedicated to the management of the Future Internet. More specifically, we are interested in designing and studying novel approaches to configure, monitor and secure the communication protocols and services of the future Internet. Tags: Monitoring Security Vulnerability Fuzzing RiskManagement P2P Fingerprinting Configuration IPv6 6LowPAN Sensors Location Agents Testing Firewall Protection Transition VoIP

Orchids: Operations Research for Complex Hybrid Decision Systems


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The Orchids team is interested in modeling, design of new optimization methods and validation of decision for problems raised in complex systems. We are particularly concerned with operation management problems within production and service such as, planning , operation scheduling, vehicle routing, transportation and supply chain.  In consequence, we are interested in optimization problems with mono and multiple objective functions under complex constraints. In several cases we face NP-hard problems. The design efficient dominance properties, simple greedy algorithms, metaheuristics, approximation scheme, are among used tools and methods to tackle large instances of these problems. Furthermore exact approaches such as branch and bound methods, and dynamic programming algorithms are developed and tested for relative small instances for these problems.

Score: Services and Cooperation


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SCORE research domain is cooperative, distributed, and Process-Aware Web Information Systems. An Information System (IS) uses information technology to capture, transmit, store, retrieve, manipulate, and display information, thereby supporting one or more work systems.