Virtual Machine Dynamic Migration Strategy Based on Load Prediction

DOI

10.2991/aetr-17.2018.64How to use a DOI?

Keywords

Virtual machine; Dynamic migration; Time sequence; Load prediction; Historical data

Abstract

This article studies the trigger strategy in dynamic migration process of virtual machine under cloud computing environment. For the problem of resource wasting caused by instantaneous peak in simple double threshold trigger strategy and single threshold trigger strategy, we propose ARMA time series prediction model based on historical load value data of virtual machine. The experiments indicate our migration trigger strategy can reduce the times of virtual machine migration effectively and corresponding energy consumption.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wei Liu
AU  - Chaojun Fu
AU  - Yu Zhang
AU  - Hongxin Wang
PY  - 2018/03
DA  - 2018/03
TI  - Virtual Machine Dynamic Migration Strategy Based on Load Prediction
BT  - Proceedings of the 2017 International Conference Advanced Engineering and Technology Research (AETR 2017)
PB  - Atlantis Press
SP  - 335
EP  - 339
SN  - 2352-5401
UR  - https://doi.org/10.2991/aetr-17.2018.64
DO  - 10.2991/aetr-17.2018.64
ID  - Liu2018/03
ER  -