Meta-learning system for KDD is an open and evolving platform for efficient testing and intelligent recommendation of data mining process. Metalearning is adopted to automate the s...
The paper provides an overview of available web applications and Web Services security vulnerability models and proposes a classification of the potential Grid and Web Services at...
Yuri Demchenko, Leon Gommans, Cees T. A. M. de Laa...
Abstract. This paper describes SCALEA-G, a unified monitoring and performance analysis system for the Grid. SCALEA-G is implemented as a set of grid services based on the Open Grid...
Grid computing is becoming the natural way to aggregate and share large and heterogeneous sets of resources. However, grid development and acceptance hinge on proving that grids r...
This paper presents a novel architecture called the MetaGrid based on Grid computing concepts for resource provisioning for wide-area network-enabled applications. Resource provis...