Data-intensive applications often require exploratory analysis of large datasets. If analysis is performed on distributed resources, data locality can be crucial to high throughpu...
Ioan Raicu, Yong Zhao, Ian T. Foster, Alexander S....
Embedded systems are an important field of research and will gain momentum in the near future. Many of these systems require data management functionality. Due to the resource con...
Mario Pukall, Thomas Leich, Martin Kuhlemann, Mark...
This paper describes an approach for designing a power management plan that matches the supply of power with the demand for power in data centers. Power may come from the grid, fro...
Daniel Gmach, Jerry Rolia, Cullen Bash, Yuan Chen,...
Statistical analysis of massive data is becoming indispensable to science, commerce, and society today. Such analysis requires efficient, flexible storage support and special optim...
Data services for the Grid have focussed so far primarily on virtualising access to distributed databases, and encapsulating file location. However, orchestration of services requ...
Andrew Woolf, Ray Cramer, Marta Gutierrez, Kerstin...