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» A Survey of Distributed and Data Intensive CBR Systems
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CCGRID
2008
IEEE
15 years 6 months ago
GridBatch: Cloud Computing for Large-Scale Data-Intensive Batch Applications
To be competitive, Enterprises are collecting and analyzing increasingly large amount of data in order to derive business insights. However, there are at least two challenges to m...
Huan Liu, Dan Orban
HPDC
2006
IEEE
15 years 5 months ago
Task Scheduling and File Replication for Data-Intensive Jobs with Batch-shared I/O
This paper addresses the problem of efficient execution of a batch of data-intensive tasks with batch-shared I/O behavior, on coupled storage and compute clusters. Two scheduling...
Gaurav Khanna 0002, Nagavijayalakshmi Vydyanathan,...
SC
2004
ACM
15 years 5 months ago
A Self-Organizing Storage Cluster for Parallel Data-Intensive Applications
Cluster-based storage systems are popular for data-intensive applications and it is desirable yet challenging to provide incremental expansion and high availability while achievin...
Hong Tang, Aziz Gulbeden, Jingyu Zhou, William Str...
CCGRID
2009
IEEE
15 years 6 months ago
Performance Issues in Parallelizing Data-Intensive Applications on a Multi-core Cluster
The deluge of available data for analysis demands the need to scale the performance of data mining implementations. With the current architectural trends, one of the major challen...
Vignesh T. Ravi, Gagan Agrawal
ICAC
2006
IEEE
15 years 5 months ago
Discovering Likely Invariants of Distributed Transaction Systems for Autonomic System Management
Large amount of monitoring data can be collected from distributed systems as the observables to analyze system behaviors. However, without reasonable models to characterize systems...
Guofei Jiang, Haifeng Chen, Kenji Yoshihira