In-memory data sharing for grids allow location-transparent access to data stored in volatile memory. Existing Grid middlewares typ- ically support only explicit data transfer betw...
The Hadoop filesystem is a large scale distributed filesystem used to manage and quickly process extremely large data sets. We want to utilize Hadoop to assist with dataintensive ...
Data replication is a key issue in a Data Grid and can be managed in different ways and at different levels of granularity: for example, at the file level or object level. In the ...
We present a TCM-Grid for Traditional Chinese Medicine (TCM). The purpose of the TCM-Grid is to aid the development of distributed systems that help health professionals, researche...
Queries over scientific data often imply expensive analyses of data requiring a lot of computational resources available in Grids. We are developing a customizable query processor...