Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
Production grids are complex and highly variable systems whose behavior is not well understood and difficult to anticipate. The goal of this study is to estimate the impact of the ...
Most of currently available content-based publish-subscribe systems that were designed to operate in large scale, wired scenarios, build their routing infrastructure as a set of b...
This paper presents the support for user-defined metrics in the G-PM performance analysis tool. G-PM addresses the demand for aggressive optimisation of Grid applications by using ...
: Many tools that target parallel and distributed environments must co-locate a set of daemons with the distributed processes of the target application. However, efficient and por...
Dong H. Ahn, Dorian C. Arnold, Bronis R. de Supins...