level of abstraction which is not only ideally suited for processing data on secondary storage but which also readily absorbs important issues in computational parallelism and in d...
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...
The Data Grid provides a scalable infrastructure for storage resources and data distribution management. It also supports a variety of scientific applications that require access...
XiaoLi Zhou, Eunsung Kim, Jai Wug Kim, Heon Young ...
Running Data Grid applications such as High Energy Nuclear Physics (HENP) and weather modelling experiments involves working with huge data sets possibly of hundreds of Terabytes ...
Abstract. Data declustering speeds up large data set retrieval by partitioning the data across multiple disks or sites and performing retrievals in parallel. Performance is determi...
Hak-Cheol Kim, Mario A. Lopez, Scott T. Leutenegge...