A Survey of Cloud Computing Variable Pricing Models

Sahar Arshad, Saeed Ullah, Shoab Ahmed Khan, M. Daud Awan, M. Sikandar Hayat Khayal


Cloud computing has grasped the attention of scientific community and business industry towards the provisioning of computing resources as utility and software as a service over a network. Profitability and revenue maximization are the most important goals for any cloud service provider which can be employed through different pricing models. Historically, cloud providers were following the fixed pricing strategies while provisioning their services to the clients. However, these approaches have their own shortcomings resulting in resource wastage, lack of fairness and user satisfaction. With expansion of cloud users in market every day, provisioning of fair resource allocation with service differentiation and efficient pricing model is demand seeking, resulting in a shift from static to dynamic pricing models. In this paper, we discuss and investigate different pricing scheme with respect to their advantages, limitations and possible future directions. The study will open a way for vendors to seek new research directions in dynamic pricing schemes.


  1. Abhishek, V., Kash, I. A., & Key, P. (2012). Fixed and market pricing for cloud services. 7th Workshop on the Economics of Networks, Systems, and Computation, pp. 157- 162.
  2. Agmon Ben-Yehuda, O., Ben-Yehuda, M., Schuster, A., & Tsafrir, D. (2013). Deconstructing Amazon EC2 spot instance pricing. ACM Transactions on Economics and Computation, 1(3), pp. 1-20.
  3. Al-Roomi, M., Al-Ebrahim, S., Buqrais, S., & Ahmad, I. (2013). Cloud computing pricing models: a survey. International Journal of Grid and Distributed Computing, 6(5). pp.93-106.
  4. Amazon Elastic Compute Cloud. (2014), EC2 [Online] Available from: http://aws.amazon.com/ec2. [Accessed: 10 March 2014].
  5. Costache, S., Parlavantzas, N., Morin, C., & Kortas, S. (2012). Themis: Economy-based automatic resource scaling for cloud systems. 9th International Conference on High Performance Computing and Communication (HPCC-ICESS), pp. 367-374. IEEE.
  6. Di Modica, G., Petralia, G., & Tomarchio, O. (2013). Procurement auctions to trade computing capacity in the Cloud. (3PGCIC), 8th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, pp. 298-305. IEEE.
  7. He, J., Wen, Y., Huang, J., & Wu, D. (2014). On the CostQoE tradeoff for cloud-based video streaming under Amazon EC2's pricing models. ,IEEE Transactions on Circuits and Systems for Video Technology, 24(4), pp. 669-680.
  8. Huang, H., Wang, L., Tak, B. C., Wang, L., & Tang, C. (2013). CAP3: A cloud auto-provisioning framework for parallel processing using on-demand and spot instances. Sixth International Conference on Cloud Computing (CLOUD), pp. 228-235. IEEE.
  9. Lampe, U., Siebenhaar, M., Papageorgiou, A., Schuller, D., & Steinmetz, R. (2012). Maximizing cloud provider profit from equilibrium price auctions. 5th International Conference on Cloud Computing (CLOUD), pp. 83-90. IEEE.
  10. Li, W., Svärd, P., Tordsson, J., & Elmroth, E. (2013). Cost-optimal cloud service placement under dynamic pricing schemes. In Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing, pp. 187-194. IEEE.
  11. Lu, H., Wu, X., Zhang, W., & Liu, J. (2012). Optimal pricing of multi-model hybrid system for paas cloud computing. International Conference on Cloud and Service Computing, pp. 227-231. IEEE.
  12. Ma, D., & Huang, J. (2012). The pricing model of cloud computing services. 14th Annual International Conference on Electronic Commerce, 263-269. ACM.
  13. Shang, Shifeng, Jinlei Jiang, Yongwei Wu, Guangwen Yang, and Weimin Zheng (2010) A knowledge-based continuous double auction model for cloud market.. Sixth International Conference on Semantics Knowledge and Grid (SKG), pp. 129-134.IEEE.
  14. Song, Y., Zafer, M., & Lee, K. W. (2012). Optimal bidding in spot instance market. IEEE Conference on Computer Communications (INFOCOM), pp.190-198.
  15. Sowmya, K., & Sundarraj, R. P. (2012). Strategic bidding for cloud resources under dynamic pricing schemes. International Symposium on Cloud and Services Computing (ISCOS) pp. 25-30. IEEE.
  16. Supply and Demand: The Market Mechanism (2011) [Online] Available from: http://kr.mnsu.edu/cu7296vs/supdem.htm [Accessed on March 24, 2014).
  17. Voorsluys, W., Garg, S. K., & Buyya, R. (2011). Provisioning spot market cloud resources to create cost-effective virtual clusters. Algorithms and Architectures for Parallel Processing, pp. 395-408. Springer Berlin Heidelberg.
  18. Zaman, S., & Grosu, D. (2011). Combinatorial auctionbased dynamic VM provisioning and allocation in clouds. Third International Conference on Cloud Computing Technology and Science (CloudCom), pp. 107-114. IEEE.
  19. Zhang, Z., Ma, R. T., Ding, J., & Yang, Y. (2013). ABACUS: An auction-based approach to cloud service differentiation. International Conference on Cloud Engineering (IC2E), pp. 292-301. IEEE.

Paper Citation

in Harvard Style

Arshad S., Ullah S., Khan S., Awan M. and Hayat Khayal M. (2015). A Survey of Cloud Computing Variable Pricing Models . In Proceedings of the 10th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-100-7, pages 27-32. DOI: 10.5220/0005429900270032

in Bibtex Style

author={Sahar Arshad and Saeed Ullah and Shoab Ahmed Khan and M. Daud Awan and M. Sikandar Hayat Khayal},
title={A Survey of Cloud Computing Variable Pricing Models},
booktitle={Proceedings of the 10th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},

in EndNote Style

JO - Proceedings of the 10th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - A Survey of Cloud Computing Variable Pricing Models
SN - 978-989-758-100-7
AU - Arshad S.
AU - Ullah S.
AU - Khan S.
AU - Awan M.
AU - Hayat Khayal M.
PY - 2015
SP - 27
EP - 32
DO - 10.5220/0005429900270032