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CYBERC
2011
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12 years 4 months ago
Opportunities and Challenges in Running Scientific Workflows on the Cloud
— Cloud computing is gaining tremendous momentum in both academia and industry. The application of Cloud computing, however, has mostly focused on Web applications and business a...
Yong Zhao, Xubo Fei, Ioan Raicu, Shiyong Lu
CLUSTER
2011
IEEE
12 years 4 months ago
A Framework for Data-Intensive Computing with Cloud Bursting
—For many organizations, one attractive use of cloud resources can be through what is referred to as cloud bursting or the hybrid cloud. These refer to scenarios where an organiz...
Tekin Bicer, David Chiu, Gagan Agrawal
HPDC
1998
IEEE
13 years 9 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 9 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
HPDC
1999
IEEE
13 years 9 months ago
A Network-Aware Distributed Storage Cache for Data Intensive Environments
Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data at multiple sites around the world. The technologies, the middleware se...
Brian Tierney, Jason Lee, Brian Crowley, Mason Hol...
IPPS
2008
IEEE
13 years 11 months ago
Energy-efficient high-performance storage system
This project is developing extended versions of RAIDs with low-power, and exploring novel energyefficient disk array architectures using coding techniques for data intensive compu...
Jun Wang
SC
2009
ACM
13 years 11 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