DocumentCode :
1638952
Title :
Grid Resource Abstraction, Virtualization, and Provisioning for Time-Targeted Applications
Author :
Kee, Yang-Suk ; Kesselman, Carl
Author_Institution :
Inf. Sci. Inst., Univ. of Southern California, Los Angeles, CA
fYear :
2008
Firstpage :
324
Lastpage :
331
Abstract :
As a variety of science applications are integrated with large-scale HPDC (high performance distributed computing) technologies, timely resource allocation is revealed as a critical requirement to be considered. This paper introduces a new HPDC resource management paradigm named resource slot which defines a network of logical machines across time and space. A resource slot is not only a resource programming target but also a virtualized resource provisioning framework for a variety of resource management paradigms by encapsulating the resource management complexity. Especially, we present a resource provisioning technique named guided redundant submission (GRS), which probabilistically guarantees a timely resource slot allocation. Experimental results performed against 8 clusters in production show that about 5 redundant resources per slot can secure slot allocation with up to 36 logical machines, each cluster having an availability probability as low as 0.25 and the target success probability of slot allocation is 0.95.
Keywords :
grid computing; probability; resource allocation; grid resource abstraction; guided redundant submission; high performance distributed computing; logical machines; probability; resource allocation; resource management; resource programming; resource slot; virtualized resource provisioning; Application virtualization; Availability; Distributed computing; Insulation; Large scale integration; Prototypes; Resource management; Resource virtualization; Space technology; Weather forecasting; high performance distributed computing; resource abstraction; resource provisioning; resource virtualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cluster Computing and the Grid, 2008. CCGRID '08. 8th IEEE International Symposium on
Conference_Location :
Lyon
Print_ISBN :
978-0-7695-3156-4
Electronic_ISBN :
978-0-7695-3156-4
Type :
conf
DOI :
10.1109/CCGRID.2008.115
Filename :
4534234
Link To Document :
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