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This document presents an Opportunistic Algorithm for dynamically scheduling scientific workflows on Grid environments, addressing the challenges posed by resource availability and task dependencies. The algorithm improves performance by selecting Grid sites based on historical job performance without the need for probing, achieving up to 120% improvement over traditional scheduling methods. The evaluation was conducted using the Open Science Grid and the Virtual Data System, demonstrating the algorithm

Author

Eduardo Cotrin Teixeira

Language

EN