An Intelligent Capacity Planning Model for Cloud Market – Journal of Internet Services and Information Security

Volume 1 - Issue 1

An Intelligent Capacity Planning Model for Cloud Market

Shifeng Shang Department of Computer Science and Technology, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China
shangsf@gmail.com
Yongwei Wu Department of Computer Science and Technology, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China
wuyw@tsinghua.edu.cn
Bo Wang Department of Computer Science and Technology, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China
bowang@tsinghua.edu.cn
Jinlei Jiang Department of Computer Science and Technology, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China
jjlei@tsinghua.edu.cn
Weimin Zheng Department of Computer Science and Technology, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China
zwm-dcs@tsinghua.edu.cn

DOI: 10.22667/JISIS.2011.05.31.037

Keywords: Cloud Computing, Cloud Market, CPUs

Abstract

Cloud computing is a promising way providing users computing resources. These resources are provided by means of standard computing instances. Currently there are three price schemas including spot, reservation and on-demand in cloud market, but the average difference among these three pricing schema can be as much as 2.7 times even for the same instance type. In the premise of ensuring service level object, how many and which compute instance are needed, which price schema is needed is important for company. In this paper, an intelligent capacity planning model was proposed. Experimental result shows that our model can save more money while the quality of service does not degrade.

Date

May 2011

Page Number

37- 45