Why performance models matter for grid computing

IFIP International Federation for Information Processing

Volumn 239, Issue , 2007, Pages 19-29

  Kennedy, Ken ^a  

^a RICE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 36448955732     PISSN: 15715736     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-0-387-73659-4_2     Document Type: Conference Paper

References (15)

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2. J. Blythe, S. Jain, E. Deelman, Y. Gil, K. Vahi, A. Mandal, and K. Kennedy. Task scheduling strategies for workflow-based applications in grids. In IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2005). IEEE Press, 2005.
3. J. Brevik, D. Nurmi, and R. Wolski. Predicting bounds on queuing delay for batch-scheduled parallel machines. In Proceedings of PPoPP 2006 March 2006.
4. I. Foster and C. Kesselman. Globus: A metacomputing infrastructure toolkit. International Journal of Supercomputer Applications, 1997.
5. I. Foster and C. Kesselman. The Grid: Blueprint for a New Computing Infrastructure. Morgan Kaufmann Publishers, Inc., 1999.
6. I. Foster and C. Kesselman. The Grid 2. Morgan Kaufmann Publishers, Inc., 2003.
7. Y.-S. Kee, D. Logothetis, R. Huang, H. Casanova, and A. Chien. Efficient resource description and high quality selection for virtual grids. In Proceedings of the 5th IEEE Symposium on Cluster Computing and the Grid (CCGrid'05), Cardiff, U.K., May 2005.
8. S. Ludtke, P. Baldwin, and W. Chiu. EMAN: Semiautomated software for high resolution single-particle reconstructions. J. Struct. Biol, (128):82-97, 1999.
9. A. Mandal, K. Kennedy, C. Koelbel, G. Marin, J. Mellor-Crummey, B. Liu, and L. Johnsson. Scheduling strategies for mapping application workflows onto the grid. In 14-th IEEE Symposium on High Performance Distributed Computing (HPDC14), pages 125-134, 2005.
10. Gabriel Marin and John Mellor-Crummey. Cross architecture performance predictions for scientific applications using parameterized models. In Proceedings of the Joint International Conference on Measurement and Modeling of Computer Systems, June 2004.
11. Gabriel Marin and John Mellor-Crummey. Scalable cross-architecture predictions of memory hierarchy response for scientific applications. In Proceedings of the Los Alamos Computer Science Institute Sixth Annual Symposium, Santa Fe, NM, October 2005.
12. M. Mika, G.Waligora, and J.Weglarz. Grid Resource Management: State of the Art and Future Trends. Kluwer Academic Publishers, 2003.
13. Daniel Nurmi, Anirban Mandal, John Brevik, Rich Wolski, Charles Koelbel, and Ken Kennedy. Evaluation of a workflow scheduler using integrated performance modelling and batch queue wait time prediction. In Proceedings of SC'06, Tampa, FL, November 2006.
14. R. Wolski. Dynamically forecasting network performance to support dynamic scheduling using the network weather service. In Proceedings 6th IEEE Symposium on High Performance Distributed Computing, August 1997.
15. Yang Zhang, Anirban Mandal, Henri Casanova, Andrew Chien, Yang-Suk Kee, Ken Kennedy, and Charles Koelbel. Scalable Grid application scheduling via decoupled resource selection and scheduling. In Proceedings of the 6th IEEE Symposium on Cluster Computing and the Grid (CCGrid'06), May 2006.