arrow
Return

Support for spot virtual machine purchasing simulation

delete2017-05-18
delete9
PRE
AI
A
Ao Zhou *
S
Shangguang Wang
Q
Qibo Sun
李静林 (Jinglin Li)
赵庆林 (Qinglin Zhao)
F
Fangchun Yang
DOI:10.1007/s10586-017-0882-8delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
With the rapid progress of cloud computing technology, a growing number of big data application providers begin to deploy applications on virtual machines rented from infrastructure as a service providers. Current infrastructure as a service provider offers diverse purchasing options for the application providers. There are mainly three types of purchasing options: reserved virtual machine, on-demand virtual machine and spot virtual machine. The spot virtual machine is a specific type of virtual machine that employs a dynamic pricing model. Because can be stopped by the infrastructure as a service providers without notice, the spot virtual machine is suitable for large-scale divisible applications, such as big data analysis. Therefore, spot virtual machine is chosen by many big data application providers for its low rental cost per hour. When spot virtual machine is chosen, a major issue faced by the big data application providers is how to min-imize the virtual machine rental cost while meet service requirements. Many optimal spot virtual machine purchasing approaches have been presented by the researchers. However, there is a shortage of simulators that enable researchers to evaluate their newly proposed spot virtual machine purchasing approach. To fill this gap, in this paper, we propose SpotCloudSim to support for dynamic virtual machine pricing model simulation. SpotCloudSim provides an extensible interface to help researchers implement new spot virtual machine purchasing approach. In addition, SpotCloudSim can also study the behavior of the newly proposed spot virtual machine purchasing approaches. We demonstrate the capabilities of SpotCloudSim by using three spot virtual machine purchasing approaches. The results indicate the benefits of our proposed simulation system.
Keywords:
Cloud computing
Virtual machine
Big data analysis
Simulator
Dynamic pricing model
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

C
Cluster Computing-The Journal of Networks Software Tools and Applications
IF:
4.1
Papers:
5.0K
Citations:
7.5K

Organization

B
beijing university of posts & telecommunications
Scholars:
1.4W
Papers: 1.2W
Citations: 9
Cited Papers

Cited Papers

No effect of fasting plasma total homocysteine on protein C activity in vitro
err2003-03-15
err0
errOAAI
errGianMarco Podda; Elena M. Faioni; Maddalena L. Zighetti; Marco Cattaneo
errShare
errSave
errShare
errSave
errShare
errSave
researcher View more