Machine Learning Based Statistical Prediction Model for Improving Performance of Live Virtual Machine Migration
Joint Authors
Chaudhary, Sanjay
Patel, Minal
Garg, Sanjay
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-04-10
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Service can be delivered anywhere and anytime in cloud computing using virtualization.
The main issue to handle virtualized resources is to balance ongoing workloads.
The migration of virtual machines has two major techniques: (i) reducing dirty pages using CPU scheduling and (ii) compressing memory pages.
The available techniques for live migration are not able to predict dirty pages in advance.
In the proposed framework, time series based prediction techniques are developed using historical analysis of past data.
The time series is generated with transferring of memory pages iteratively.
Here, two different regression based models of time series are proposed.
The first model is developed using statistical probability based regression model and it is based on ARIMA (autoregressive integrated moving average) model.
The second one is developed using statistical learning based regression model and it uses SVR (support vector regression) model.
These models are tested on real data set of Xen to compute downtime, total number of pages transferred, and total migration time.
The ARIMA model is able to predict dirty pages with 91.74% accuracy and the SVR model is able to predict dirty pages with 94.61% accuracy that is higher than ARIMA.
American Psychological Association (APA)
Patel, Minal& Chaudhary, Sanjay& Garg, Sanjay. 2016. Machine Learning Based Statistical Prediction Model for Improving Performance of Live Virtual Machine Migration. Journal of Engineering،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1108362
Modern Language Association (MLA)
Patel, Minal…[et al.]. Machine Learning Based Statistical Prediction Model for Improving Performance of Live Virtual Machine Migration. Journal of Engineering No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1108362
American Medical Association (AMA)
Patel, Minal& Chaudhary, Sanjay& Garg, Sanjay. Machine Learning Based Statistical Prediction Model for Improving Performance of Live Virtual Machine Migration. Journal of Engineering. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1108362
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1108362