In this paper a novel and generic approach for model-based data clustering in a boosting framework is presented. This method uses the forward stagewise additive modeling to learn t...
To be competitive, Enterprises are collecting and analyzing increasingly large amount of data in order to derive business insights. However, there are at least two challenges to m...
Active storage clouds are an attractive platform for executing large data intensive workloads found in many fields of science. However, active storage presents new system managem...
Real-time monitoring is increasingly becoming important in various scenes of large scale, multi-site distributed/parallel computing, e.g, understanding behavior of systems, schedu...
— Data-centric applications are still a challenging issue for Large Scale Distributed Computing Systems. The emergence of new protocols and softwares for collaborative content di...