— Scientific applications often perform complex computational analyses that consume and produce large data sets. We are concerned with data placement policies that distribute dat...
Ann L. Chervenak, Ewa Deelman, Miron Livny, Mei-Hu...
A challenging issue facing Grid communities is that while Grids can provide access to many heterogeneous resources, the resources to which access is provided often do not match th...
Ian T. Foster, Timothy Freeman, Katarzyna Keahey, ...
Grid computing is becoming an important framework for enabling applications to utilize widely distributed collections of computational and data resources, however current grid sof...
Paul D. Coddington, Lici Lu, Darren Webb, Andrew L...
Grid computing provides a robust paradigm to aggregate disparate resources in a secure and controlled environment. Grid architectures require an underpinning Quality of Service (Qo...
Rashid J. Al-Ali, Kaizar Amin, Gregor von Laszewsk...
Scheduling parallel and distributed applications efficiently onto grid environments is a difficult task and a great variety of scheduling heuristics have been developed aiming to ...
Alexandre Ceasar Tavares Vidal, Francisco Jos&eacu...