Grid environments are ideal for executing applications that require a huge amount of computational work, both due to the big number of tasks to execute and to the large amount of ...
Grid data management is a challenging task because of the heterogeneous, dynamic and largescale nature of Grid environments. This paper proposes an autonomic Grid data management ...
While resource management and task scheduling are identified challenges of Grid computing, current Grid scheduling systems mainly focus on CPU and network availability. Recent per...
Abstract. The development and deployment of middleware and applications in a grid environment spread over many institutions is a complex challenge. The management of the developmen...
Deploying Grid technologies by distributing an application over several machines has been widely used for scientific simulations, which have large requirements for computational r...