Setting up generic and fully transparent distributed services for clusters implies complex and tedious kernel developments. More flexible approaches such as user-space libraries ar...
Adrien Lebre, Renaud Lottiaux, Erich Focht, Christ...
In parallel computing environments such as HPC clusters and the Grid, data-intensive applications involve large overhead costs due to a concentration of access to the files on co...
Background: Investigators in the biological sciences continue to exploit laboratory automation methods and have dramatically increased the rates at which they can generate data. I...
Michael C. Wendl, Scott Smith, Craig S. Pohl, Davi...
In this paper we propose a framework dedicated to the development and the execution of parallel applications over large scale global computing platforms. A workflow programming env...
This paper reviews literature on scalable data structures for searching in a distributed computing environment. Starting with a system where one server manages a file of a given s...