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» Mass Storage Management and the Grid
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BMCBI
2007
166views more  BMCBI 2007»
15 years 11 days ago
Data handling strategies for high throughput pyrosequencers
Background: New high throughput pyrosequencers such as the 454 Life Sciences GS 20 are capable of massively parallelizing DNA sequencing providing an unprecedented rate of output ...
Gabriele A. Trombetti, Raoul J. P. Bonnal, Ermanno...
GRID
2007
Springer
15 years 4 months ago
Global-scale peer-to-peer file services with DFS
The global inter-networking infrastructure that has become essential for contemporary day-to-day computing and communication tasks, has also enabled the deployment of several large...
Antony Chazapis, Georgios Tsoukalas, Georgios Veri...
CORR
2010
Springer
148views Education» more  CORR 2010»
15 years 13 days ago
Data Sharing Options for Scientific Workflows on Amazon EC2
Efficient data management is a key component in achieving good performance for scientific workflows in distributed environments. Workflow applications typically communicate data be...
Gideon Juve, Ewa Deelman, Karan Vahi, Gaurang Meht...
TITB
2010
128views Education» more  TITB 2010»
14 years 7 months ago
Data-Centric Privacy Protocol for Intensive Care Grids
Abstract--Modern e-Health systems require advanced computing and storage capabilities, leading to the adoption of technologies like the grid and giving birth to novel health grid s...
J. Luna, Marios D. Dikaiakos, Manolis Marazakis, T...
IPPS
2010
IEEE
14 years 10 months ago
BlobSeer: Bringing high throughput under heavy concurrency to Hadoop Map-Reduce applications
Hadoop is a software framework supporting the Map/Reduce programming model. It relies on the Hadoop Distributed File System (HDFS) as its primary storage system. The efficiency of ...
Bogdan Nicolae, Diana Moise, Gabriel Antoniu, Luc ...