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

المؤلفون المشاركون

Liu, Shu
Yan, Yongming
Zhang, Bin
Guo, Jun

المصدر

Mathematical Problems in Engineering

العدد

المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-9، 9ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2014-06-17

دولة النشر

مصر

عدد الصفحات

9

التخصصات الرئيسية

هندسة مدنية

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Guo, Jun& Liu, Shu& Zhang, Bin& Yan, Yongming. 2014. Research on Virtual Machine Response Time Prediction Method Based on GA-BP Neural Network. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-449063

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Guo, Jun…[et al.]. Research on Virtual Machine Response Time Prediction Method Based on GA-BP Neural Network. Mathematical Problems in Engineering No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-449063

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Guo, Jun& Liu, Shu& Zhang, Bin& Yan, Yongming. Research on Virtual Machine Response Time Prediction Method Based on GA-BP Neural Network. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-449063

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-449063