A Computation-Intensive Cloud Workflow Scheduling Method Based on Owl Search Algorithm
A technology of search algorithm and scheduling method, applied in the field of cloud computing, to achieve the effect of reducing overall time overhead, shortening search time, and improving search efficiency
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[0071] In order to check the effect of the cloud workflow scheduling using the improved owl search algorithm (OSA) proposed by the present invention, the present invention uses the cloud computing simulation tool WorkflowSim to simulate a cloud computing data center, and executes the span of the workflow The estimation algorithm of time makespan is optimized to improve the calculation efficiency of makespan. In the experiment, the most commonly used intelligent optimization algorithms were selected for comparison, such as ant colony algorithm (ACO), particle swarm algorithm (PSO), and genetic algorithm (GA).
[0072] For Montage workflow models of different scales, 10 identical virtual machines are used to conduct experiments respectively, and the minimum execution span time of the workflow and the average execution span time of each individual workflow corresponding to each generation are selected as scheduling performance indicators to measure the generality of the algorithm....
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