DocumentCode :
1639034
Title :
Characterizing, Modeling and Predicting Dynamic Resource Availability in a Large Scale Multi-purpose Grid
Author :
Nadeem, Farrukh ; Prodan, Radu ; Fahringer, Thomas
Author_Institution :
Inst. of Comput. Sci., Innsbruck Univ., Innsbruck
fYear :
2008
Firstpage :
348
Lastpage :
357
Abstract :
The functional heterogeneity of computational Grids has highly increased due to inclusion of resources other than dedicated to Grid, like from non-dedicated desktop Grids, on-demand systems and even from P2P systems and mobile Grids. At such a diversified scale, resources exhibit different availability properties mainly due to administrators´ policies for resource availability in the Grid, and their failure/unavailability properties. These make resources´ availability predictions for optimized resource selection, a challenging problem. Addressing this problem, we characterize resource availability properties against their availability policies to understand their availability behavior and quantify it through availability models. We further exploit the availability/failure properties to make predictions about their availability through pattern recognition and classification. We have achieved, on average, accuracy of more than 90% and 75% in our predictions for resource instance availability and lifetime respectively.
Keywords :
grid computing; mobile computing; pattern classification; peer-to-peer computing; P2P system; computational grids; dynamic resource availability; large scale multipurpose grid; mobile grid; nondedicated desktop grid; on-demand system; pattern classification; pattern recognition; Availability; Computer science; Grid computing; Large-scale systems; Mathematical model; Pattern analysis; Pattern recognition; Peer to peer computing; Performance analysis; Predictive models; Availability Characterization; Availability Modeling; Availability Prediction. Availability Pattern Recongnition and Classification;
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.2008.29
Filename :
4534237
Link To Document :
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