Title: A novel virtual resource pricing policy based on game model in federated clouds

Authors: Yuan Tian

Addresses: College of Computer and Communication, Hunan Institute of Engineering, Xiangtan 411104, China

Abstract: In recent years, more and more cloud providers are unified together to form a federated cloud market, where a suitable pricing strategy plays a key role to help they attracting more users. However, many existing pricing policies can not deal with the competition between different cloud providers. In this study, we take efforts on the resource pricing policy in federated cloud market. To obtain an optimal pricing scheme among multiple IaaS providers (ISPs), we firstly use the learning curve model to model the production supply behaviours of ISPs, and then we use a standard Markov decision process to describe the pricing game model and present an efficient algorithm to solve this game model in a distributed manner. The proposed pricing model has been fully investigated and evaluated in a real-world federated cloud platform, and the results indicate that it can significantly improve the profits of ISPs comparing to several existing pricing mechanisms.

Keywords: cloud computing; virtual machine; pricing scheme; federated market.

DOI: 10.1504/IJNVO.2020.105515

International Journal of Networking and Virtual Organisations, 2020 Vol.22 No.2, pp.115 - 128

Received: 02 Jan 2018
Accepted: 07 Jun 2018

Published online: 03 Mar 2020 *

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