Adaptive Workflow Scheduling on Cloud Computing Platforms with IterativeOrdinal Optimization

Abstract

The scheduling of multitask jobs on clouds is an NP-hard problem. The problem becomes even worse when complex workflows are executed on elastic clouds, such as Amazon EC2 or IBM RC2. The main difficulty lies in the large search space and high overhead of generating optimal schedules, especially for real-time applications with dynamic workloads. In this work… (More)
DOI: 10.1109/TCC.2014.2350490

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