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HPDC
2002
IEEE
9 years 4 months ago
Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
In high energy physics, bioinformatics, and other disciplines, we encounter applications involving numerous, loosely coupled jobs that both access and generate large data sets. So...
Kavitha Ranganathan, Ian T. Foster
ICDE
2009
IEEE
164views Database» more  ICDE 2009»
10 years 1 months ago
Efficient and Robust Database Support for Data-Intensive Applications in Dynamic Environments
Requirements from new types of applications call for new database system solutions. Computational science applications performing distributed computations on Grid networks with req...
Jon Olav Hauglid, Kjetil Nørvåg, Norv...
HPDC
1998
IEEE
9 years 4 months ago
High-Speed, Wide Area, Data Intensive Computing: A Ten Year Retrospective
Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data from around the world, as well as employing largescale computation. The...
William E. Johnston
CLUSTER
2008
IEEE
9 years 6 months ago
Supporting storage resources in Urgent Computing Environments
Abstract—The Special PRiority and Urgent Computing Environment (SPRUCE) provides on-demand access to highperformance computing resources for time-critical applications. While SPR...
Jason Cope, Henry M. Tufo
HOTI
2002
IEEE
9 years 4 months ago
Distributed-and-Split Data-Control Extension to SCSI for Scalable Storage Area Networks
A “Storage-Area Network” (SAN) comprises computers (“Initiators”), storage “block devices” (“Targets”), and a Controller(s). Most SANs use the SCSI protocol over v...
Yitzhak Birk, Nafea Bishara
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