Virtual Machine Migration Strategy Based on the Load Evaluation and Prediction under the Cloud Environment

DOI

10.2991/nceece-15.2016.147How to use a DOI?

Keywords

Cloud Computing; Load Balancing; Prediction; Threshold; Virtual Machine Migration

Abstract

Concerning the centralized communication overloading of the virtual machine (VM) in the cloud computing center, this paper puts forward an adjustment strategy, that is, to build a model through the load evaluation of three threshold values in consideration of the load balancing and to achieve the objective of dynamic migration of the VM. First, load evaluation algorithm for four statuses is designed by increasing the division grade of the physical machine (PM). The exponential smoothing model based on time series trend prediction is introduced. Through the prediction of the load in the next moment, the overloaded PM is certified. The VMs to be migrated and the optimal objective target hosts are found out through the calculation of the utilization rate and the utilization trend of various VMs, CPUs, internal storage and bandwidth of target hosts. Based on that, the model is established and the VMs are migrated.

Copyright

© 2016, 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  - Yueqi Zi
AU  - Yongqiang Sun
AU  - Yi Sun
PY  - 2015/12
DA  - 2015/12
TI  - Virtual Machine Migration Strategy Based on the Load Evaluation and Prediction under the Cloud Environment
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 798
EP  - 803
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.147
DO  - 10.2991/nceece-15.2016.147
ID  - Zi2015/12
ER  -