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TPDS
2010
185views more  TPDS 2010»
13 years 5 months ago
All-Pairs: An Abstraction for Data-Intensive Computing on Campus Grids
s: An Abstraction for Data Intensive Computing on Campus Grids Christopher Moretti, Hoang Bui, Karen Hollingsworth, Brandon Rich, Patrick Flynn, and Douglas Thain Department of Com...
Christopher Moretti, Hoang Bui, Karen Hollingswort...
CCGRID
2010
IEEE
13 years 5 months ago
Dynamic Load-Balanced Multicast for Data-Intensive Applications on Clouds
Data-intensive parallel applications on clouds need to deploy large data sets from the cloud's storage facility to all compute nodes as fast as possible. Many multicast algori...
Tatsuhiro Chiba, Mathijs den Burger, Thilo Kielman...
GRID
2006
Springer
13 years 7 months ago
Simultaneous Scheduling of Replication and Computation for Data-Intensive Applications on the Grid
One of the first motivations of using grids comes from applications managing large data sets in field such as high energy physics or life sciences. To improve the global throughput...
Frederic Desprez, Antoine Vernois
SC
2009
ACM
14 years 2 months ago
Lessons learned from a year's worth of benchmarks of large data clouds
In this paper, we discuss some of the lessons that we have learned working with the Hadoop and Sector/Sphere systems. Both of these systems are cloud-based systems designed to sup...
Yunhong Gu, Robert L. Grossman
GLOBE
2010
Springer
13 years 7 months ago
High Throughput Data-Compression for Cloud Storage
Abstract. As data volumes processed by large-scale distributed dataintensive applications grow at high-speed, an increasing I/O pressure is put on the underlying storage service, w...
Bogdan Nicolae