This site uses cookies to deliver our services and to ensure you get the best experience. By continuing to use this site, you consent to our use of cookies and acknowledge that you have read and understand our Privacy Policy, Cookie Policy, and Terms
Data-sharing scientific communities use storage systems as distributed data stores by replicating content. In such highly replicated environments, a particular dataset can reside ...
With the advent of web services standards and a serviceoriented Grid architecture, it is foreseeable that competing as well as complimenting computational services will proliferat...
Typical Grid computing scenarios involve many distributed hardware and software components. The more components that are involved, the more likely it is that one of them may fail....
Dan Gunter, Brian Tierney, Craig E. Tull, Vibha Vi...
In previous work we have presented the ZENTURIO experiment management system for performance and parameter studies of parallel and distributed applications on cluster and Grid arc...
Resource discovery and monitoring in a distributed Grid environment gives rise to several issues, one of which is the provision of reliable performance and hence, the quality-ofse...
Helene N. Lim Choi Keung, Justin R. D. Dyson, Step...
There is a rapidly growing set of applications, referred to as data driven applications, in which analysis of large amounts of data drives the next steps taken by the scientist, e...
Computational Grids have the potential to become the main execution platform for high performance and distributed applications. However, such systems are extremely complex and pro...
Raissa Medeiros, Walfredo Cirne, Francisco Vilar B...
Grid computing is fast emerging as the solution to the problems posed by the massive computational and data handling requirements of many current international scientific project...