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GRID
2006
Springer
13 years 4 months ago
Multi-Replication with Intelligent Staging in Data-Intensive Grid Applications
Existing data grid scheduling systems handle huge data I/O via replica location services coupled with simple staging, decoupled from scheduling of computing tasks. However, when th...
Yuya Machida, Shin'ichiro Takizawa, Hidemoto Nakad...
CLOUDCOM
2010
Springer
13 years 2 months ago
Attaching Cloud Storage to a Campus Grid Using Parrot, Chirp, and Hadoop
The Hadoop filesystem is a large scale distributed filesystem used to manage and quickly process extremely large data sets. We want to utilize Hadoop to assist with dataintensive ...
Patrick Donnelly, Peter Bui, Douglas Thain
CCGRID
2004
IEEE
13 years 8 months ago
DWDM-RAM: a data intensive Grid service architecture enabled by dynamic optical networks
Next generation applications and architectures (for example, Grids) are driving radical changes in the nature of traffic, service models, technology, and cost, creating opportunit...
Tal Lavian, Joe Mambretti, Doug Cutrell, Howard J....
USENIX
2000
13 years 6 months ago
Dynamic Function Placement for Data-Intensive Cluster Computing
Optimally partitioning application and filesystem functionality within a cluster of clients and servers is a difficult problem due to dynamic variations in application behavior, r...
Khalil Amiri, David Petrou, Gregory R. Ganger, Gar...
ICWS
2004
IEEE
13 years 6 months ago
JClarens: A Java Based Interactive Physics Analysis Environment for Data Intensive Applications
In this paper we describe JClarens; a Java based implementation of the Clarens remote data server. JClarens provides web services for an interactive analysis environment to dynami...
Arshad Ali, Ashiq Anjum, Tahir Azim, Michael Thoma...