DocumentCode :
3023290
Title :
Models and modeling infrastructures for global computational platforms
Author :
Wolski, Rich ; Nurmi, Daniel ; Brevik, John ; Casanova, Henri ; Chien, Andrew
Author_Institution :
California Univ., Santa Barbara, CA, USA
fYear :
2005
fDate :
4-8 April 2005
Abstract :
The focus of this effort is on modeling and scheduling methodologies that will enable global computing, thus extending computational grids and high-performance distributed computing to a global level. In this vein, we present a methodology for automatically fitting parametric models to machine availability data. Specifically, these new modeling technologies will support resource characterization and scheduling techniques thereby enabling robust, predictable performance.
Keywords :
grid computing; processor scheduling; resource allocation; automatically fitting parametric model; computational grid; global computational platform; high-performance distributed computing; predictable performance; scheduling method; Availability; Computer networks; Concurrent computing; Distributed computing; Grid computing; Large-scale systems; Personal communication networks; Predictive models; Processor scheduling; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing Symposium, 2005. Proceedings. 19th IEEE International
Print_ISBN :
0-7695-2312-9
Type :
conf
DOI :
10.1109/IPDPS.2005.294
Filename :
1420137
Link To Document :
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