Resource use pattern analysis for opportunistic grids

Authors:
Marcelo Finger;Germano C. Bezerra;Danilo R. Conde
Affiliations:
University of São Paulo, Brazil;University of São Paulo, Brazil;University of São Paulo, Brazil
Venue:
Proceedings of the 6th international workshop on Middleware for grid computing
Year:
2008

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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.