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
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.