DocumentCode
641179
Title
Dynamic optimization of virtual machine placement by resource usage prediction
Author
Sato, Kiminori ; Samejima, Masaki ; Komoda, Natsuki
Author_Institution
Grad. Sch. of Inf. Sci. & Technol., Osaka Univ., Suita, Japan
fYear
2013
fDate
29-31 July 2013
Firstpage
86
Lastpage
91
Abstract
In order to save energy with preventing the lack of the resources on servers in data centers, we address the dynamic optimization of virtual machine placement. A decision problem of the virtual machine placement has been formulated as Bin Packing problem. Conventional methods repeat to solve the problem at regular intervals. Live migration is used for changing the virtual machine placement, but some of live migrations are unnecessary; the virtual machine is migrated repeatedly between the physical servers. For the purpose of reducing the unnecessary live migrations, we propose a dynamic optimization of virtual machine placement by resource usage prediction. The proposed method predicts the future resource usage by Auto Regressive Model. The proposed method decides the virtual machine placement by solving the Bin Packing problem with the predicted resource usage.
Keywords
autoregressive processes; bin packing; computer centres; dynamic programming; prediction theory; resource allocation; virtual machines; autoregressive model; bin packing problem; data centers; decision problem; dynamic optimization; live migrations; physical servers; resource usage prediction; virtual machine placement; Programming; Quality of service; Random access memory; Schedules; Virtual machining;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Informatics (INDIN), 2013 11th IEEE International Conference on
Conference_Location
Bochum
Type
conf
DOI
10.1109/INDIN.2013.6622863
Filename
6622863
Link To Document