Research on Virtual Machine Response Time Prediction Method Based on GA-BP Neural Network

Jun Guo, Shu Liu, Bin Zhang and Yongming Yan

Mathematical Problems in Engineering, 2014, vol. 2014, 1-9

Abstract:

Cloud application provides access to large pool of virtual machines for building high-quality applications to satisfy customers’ requirements. A difficult issue is how to predict virtual machine response time because it determines when we could adjust dynamic scalable virtual machines. To address the critical issue, this paper proposes a prediction virtual machine response time method which is based on genetic algorithm-back propagation (GA-BP) neural network. First of all, we predict component response time by the past virtual machine component usage experience data: the number of concurrent requests and response time. Then, we could predict virtual machines service response time. The results of large-scale experiments show the effectiveness and feasibility of our method.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:141930

DOI: 10.1155/2014/141930

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