Sparse grid methods represent a powerful and efficient technique for the representation and approximation of functions and particularly the solutions of partial differential equat...
This paper explores a distributed ontology framework for tailoring ontologies in the Semantic Grid environment. The framework is divided into five main categories; Ontology Proce...
Andrew Flahive, J. Wenny Rahayu, David Taniar, Ber...
In this paper, we describe the integration of dynamic right-sizing — an automatic and scalable buffer management technique for enhancing TCP performance — into GridFTP, a sub...
Grid systems are well-known for its high performance computing or large data storage with inexpensive devices. They can be categorized into two major types: computational grid and ...
Since the birth of computational and data grids, many middlewares have been developed and deployed. Currently, they are used in a multitude of isolated e-Infrastructures and a hot...