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We propose a novel deadline-based strategy in scheduling and rescheduling workflow applications on a heterogeneous Grid system. Instead of minimizing the makespan of a job by a greedy algorithm, our approach schedules tasks so that the overall job meets its deadline. The key innovation is how we allow some tasks to be rescheduled, in light of later job requests, to a different time slot or another...
This paper introduces the innovative Grid-based RTSOA frameworks, and specializes these frameworks to the exciting context of Data Transformation services over Grids, which play a significant role in the context of data-intensive e-science Grid applications. Also, in order to efficiently support Grid-based RTSOA frameworks, we provide a complete model based on the data compression/approximation paradigm,...
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