TY - GEN
T1 - User perceived value-aware cloud pricing for profit maximization of multiserver systems
AU - Cong, Peijin
AU - Li, Liying
AU - Shao, Gaoyuan
AU - Zhou, Junlong
AU - Chen, Mingsong
AU - Huang, Kai
AU - Wei, Tongquan
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - With the rapid deployment of cloud computing infrastructures, understanding the economics of cloud computing has becoming a pressing issue for cloud service providers. However, existing pricing models rarely consider the dynamic interaction between user requests and the cloud service provider, thus can not accurately reflect the law of supply and demand in marketing. In this paper, we propose a pricing model based on the concept of user perceived value in the domain of economics that accurately capture the real supply and demand situation in the cloud service market. We then design a profit maximization scheme based on the presented dynamic pricing model that optimizes profit of the cloud service provider without violating user service-level agreement. Extensive experiments using data extracted from real-world applications validate the effectiveness of the proposed user perceived value-based pricing model. The proposed profit maximization scheme achieves 24.44% more profit as compared to the state of the art benchmarking methods.
AB - With the rapid deployment of cloud computing infrastructures, understanding the economics of cloud computing has becoming a pressing issue for cloud service providers. However, existing pricing models rarely consider the dynamic interaction between user requests and the cloud service provider, thus can not accurately reflect the law of supply and demand in marketing. In this paper, we propose a pricing model based on the concept of user perceived value in the domain of economics that accurately capture the real supply and demand situation in the cloud service market. We then design a profit maximization scheme based on the presented dynamic pricing model that optimizes profit of the cloud service provider without violating user service-level agreement. Extensive experiments using data extracted from real-world applications validate the effectiveness of the proposed user perceived value-based pricing model. The proposed profit maximization scheme achieves 24.44% more profit as compared to the state of the art benchmarking methods.
KW - Cloud computing
KW - Dynamic pricing model
KW - Profit maximization
KW - User perceived value
UR - https://www.scopus.com/pages/publications/85048373123
U2 - 10.1109/ICPADS.2017.00076
DO - 10.1109/ICPADS.2017.00076
M3 - 会议稿件
AN - SCOPUS:85048373123
T3 - Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS
SP - 537
EP - 544
BT - Proceedings - 2017 IEEE 23rd International Conference on Parallel and Distributed Systems, ICPADS 2017
PB - IEEE Computer Society
T2 - 23rd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2017
Y2 - 15 December 2017 through 17 December 2017
ER -