AnthillSched: A Scheduling Strategy for Irregular and Iterative I/O-Intensive Parallel Jobs-Reference-Cited by-同舟云学术

AnthillSched: A Scheduling Strategy for Irregular and Iterative I/O-Intensive Parallel Jobs

Published:2005 Issue: Volume: Page:108-122
ISSN:0302-9743
Container-title:Job Scheduling Strategies for Parallel Processing
language:
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Author:

Góes Luís Fabrício,Guerra Pedro,Coutinho Bruno,Rocha Leonardo,Meira Wagner,Ferreira Renato,Guedes Dorgival,Cirne Walfredo

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/11605300_5.pdf

Reference24 articles.

1. Utgoff, P., Brodley, C.: An incremental method for finding multivariate splits for decision trees. In: Proceedings of the Seventh International Conference on Machine Learning. Morgan Kaufman, San Francisco (1990)

2. Lecture Notes in Artificial Intelligence;A. Veloso,2004

3. Beynon, C.M., Ferreira, R., Kurc, T., Sussmany, A., Saltz, J.: Datacutter: Middleware for filtering very large scientific datasets on archival storage systems. In: Proceedings of the IEEE Mass Storage Systems Symposium (2000)

4. Nascimento, L.T., Ferreira, R.: LPSched — dataflow application scheduling in grids. Master’s thesis, Federal University of Minas Gerais (2004) (in Portuguese)

5. Lecture Notes in Computer Science;E.S. Neto,2005

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