An Intelligent Capacity Planning Model

for Cloud Market

Shifeng Shang, Yongwei Wu, Bo Wang, Jinlei Jiang and Weimin Zheng

Department of Computer Science and Technology,

Tsinghua National Laboratory for Information Science and Technology,

Tsinghua University, Beijing, China

shangsf@gmail.com,{wuyw,bowang, jjlei,zwm-dcs}@tsinghua.edu.cn

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.