Grid computing promises the ability to share geographically and organizationally distributed resources to increase effective computational power and resource utilization. However,...
Youn-Seok Kim, Jung-Lok Yu, Jae-Gyoon Hahm, Jinsoo...
Bioinformatics applications manage complex biological data stored into distributed and often heterogeneous databases and require large computing power. Among these, protein structu...
Mario Cannataro, Matteo Comin, Carlo Ferrari, Conc...
Grid computing intends to share heterogeneous resources in dynamic service-based environments. This kind of systems has the major advantages of enabling rapid composition of distr...
In the past, efficient parallel algorithms have always been developed specifically for the successive generations of parallel systems (vector machines, shared-memory machines, d...
It is envisaged that the grid infrastructure will be a large-scale distributed software system that will provide high-end computational and storage capabilities to differentiated ...
Junwei Cao, Daniel P. Spooner, James D. Turner, St...