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Optimizing Makespan in Cloud Workflows by riad bouaita is a document available to read on EtoBox.

This research addresses the NP-hard problem of task scheduling in scientific workflows, focusing on optimizing makespan using a hybrid genetic algorithm. It introduces an enhanced evaluation model that incorporates disk-network communication, significantly improving accuracy in makespan estimations compared to standard models. The study proposes various hybrid metaheuristics and demonstrates their effectiveness through experimental results on real scientific workflows, highlighting the importance of accurat

Author
riad bouaita
Language
EN