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Mathematical Problems in Engineering
Volume 2014, Article ID 141930, 9 pages
http://dx.doi.org/10.1155/2014/141930
Research Article

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

College of Information Science & Technology Engineering, Northeastern University, Shenyang, China

Received 17 March 2014; Revised 18 May 2014; Accepted 1 June 2014; Published 17 June 2014

Academic Editor: Qingsong Xu

Copyright © 2014 Jun Guo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.