Facing the limits of traditional tools of resource management within computational grids (related to scale, dynamicity, etc. of the platforms newly considered), new approaches, based on peer-to-peer technologies are emerging. The resource discovery and in particular the service discovery is concerned by this evolution. Among the solutions, a promising one is the indexing of resources using trie structures and more particularly prefix trees. The major advantages of trie-structured approaches is the capability to support search queries on ranges of values with a latency growing logarithmically in the number of nodes in the trie. Those techniques are easy to extend to multicriteria searches. One drawback of using tries is its inherent poor rob...
This thesis deals with the self-stabilizing construction of spanning structures over a distributed s...
Nowadays, in our economic system, innovating is absolutely necessary for most companies: launching e...
The last couple of decades have seen a surge of interest and sophistication in using heuristics to s...
Facing the limits of traditional tools of resource management within computational grids (related to...
The efficiency of service discovery is a crucial point in the development of fully decentralized mid...
Resource Discovery is a crucial issue in the deployment of computational grids over large scale peer...
High performance computing applications must be resilient to faults, which are common occurrences es...
The problem studied in this thesis is the service discovery on platforms distributed at large scale,...
Within computational grids, some services (software components, linear algebra libraries, etc.) are...
In this thesis, we describe and analyze a fully distributed approach for parallel Branch-and-Bound. ...
FT-GReLoSSS (FTG) is a C++/MPI framework to ease the development of fault-tolerant parallel applicat...
Combinatorial problems based on graph partitioning enable to represent many practical applications. ...
International audienceThe move towards exascale super-computers requires new fault tolerance solutio...
In this thesis we present new approaches in the domains of soft fault detection and location in comp...
Overlay networks have been extensively studied as a solution to the dynamic nature, scale and hetero...
This thesis deals with the self-stabilizing construction of spanning structures over a distributed s...
Nowadays, in our economic system, innovating is absolutely necessary for most companies: launching e...
The last couple of decades have seen a surge of interest and sophistication in using heuristics to s...
Facing the limits of traditional tools of resource management within computational grids (related to...
The efficiency of service discovery is a crucial point in the development of fully decentralized mid...
Resource Discovery is a crucial issue in the deployment of computational grids over large scale peer...
High performance computing applications must be resilient to faults, which are common occurrences es...
The problem studied in this thesis is the service discovery on platforms distributed at large scale,...
Within computational grids, some services (software components, linear algebra libraries, etc.) are...
In this thesis, we describe and analyze a fully distributed approach for parallel Branch-and-Bound. ...
FT-GReLoSSS (FTG) is a C++/MPI framework to ease the development of fault-tolerant parallel applicat...
Combinatorial problems based on graph partitioning enable to represent many practical applications. ...
International audienceThe move towards exascale super-computers requires new fault tolerance solutio...
In this thesis we present new approaches in the domains of soft fault detection and location in comp...
Overlay networks have been extensively studied as a solution to the dynamic nature, scale and hetero...
This thesis deals with the self-stabilizing construction of spanning structures over a distributed s...
Nowadays, in our economic system, innovating is absolutely necessary for most companies: launching e...
The last couple of decades have seen a surge of interest and sophistication in using heuristics to s...