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» Aspects of Data-Intensive Cloud Computing
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CCGRID
2010
IEEE
13 years 3 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...
CLOUD
2010
ACM
13 years 11 months ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
HPDC
1998
IEEE
13 years 10 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
HPCN
1999
Springer
13 years 10 months ago
Data Intensive Distributed Computing; A Medical Application Example
Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data from around the world, as well as employing large-scale computation. The...
Jason Lee, Brian Tierney, William E. Johnston
FGCS
2000
143views more  FGCS 2000»
13 years 5 months ago
A data intensive distributed computing architecture for "Grid" applications
Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data from around the world, as well as employing large-scale computation. The...
Brian Tierney, William E. Johnston, Jason Lee, Mar...