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

Abstract EN

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.