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  1. Proceedings of the 6th international workshop on Middleware for grid computing (MGC '08)
  2. Resource use pattern analysis for opportunistic grids
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Dynamic self-scheduling for parallel applications with task dependencies
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Extending XACML authorisation model to support policy obligations handling in distributed application
A tool for isolating performance in general-purpose operating systems
A novel multi-objective optimization scheme for grid resource allocation
Resource use pattern analysis for opportunistic grids
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Resource use pattern analysis for opportunistic grids

Content Provider ACM Digital Library
Author Finger, Marcelo Conde, Danilo R. Bezerra, Germano C.
Abstract This work presents a method for predicting resource availability in opportunistic grids by means of Use Pattern Analysis (UPA), a technique based on non-supervised learning methods. The basic assumptions of the method and its capability to predict resource availability were demonstrated by simulations; accurate learning techniques and distance metrics are determined. The UPA method was implemented and experiments showed the feasibility of its use in low-overhead scheduling of grid tasks and its superiority over other predictive and non-predictive methods.
Starting Page 1
Ending Page 6
Page Count 6
File Format PDF
ISBN 9781605583655
DOI 10.1145/1462704.1462712
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2008-12-01
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Opportunistic grids Use pattern analysis Grid computing Scheduling
Content Type Text
Resource Type Article
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