A survey of Cloud computing variable pricing models

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]  Ian A. Kash,et al.  Fixed and market pricing for cloud services , 2012, 2012 Proceedings IEEE INFOCOM Workshops.

[2]  K. Sowmya,et al.  Strategic Bidding for Cloud Resources under Dynamic Pricing Schemes , 2012, 2012 International Symposium on Cloud and Services Computing.

[3]  Muli Ben-Yehuda,et al.  Deconstructing Amazon EC2 Spot Instance Pricing , 2011, 2011 IEEE Third International Conference on Cloud Computing Technology and Science.

[4]  Jin Liu,et al.  Optimal Pricing of Multi-model Hybrid System for PaaS Cloud Computing , 2012, 2012 International Conference on Cloud and Service Computing.

[5]  He Huang,et al.  CAP3: A Cloud Auto-Provisioning Framework for Parallel Processing Using On-Demand and Spot Instances , 2013, 2013 IEEE Sixth International Conference on Cloud Computing.

[6]  Giuseppe Di Modica,et al.  Procurement Auctions to Trade Computing Capacity in the Cloud , 2013, 2013 Eighth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing.

[7]  Dan Ma,et al.  The pricing model of cloud computing services , 2012, ICEC '12.

[8]  Yin Yang,et al.  ABACUS: An Auction-Based Approach to Cloud Service Differentiation , 2013, 2013 IEEE International Conference on Cloud Engineering (IC2E).

[9]  Yang Song,et al.  Optimal bidding in spot instance market , 2012, 2012 Proceedings IEEE INFOCOM.

[10]  Daniel Grosu,et al.  Combinatorial Auction-Based Dynamic VM Provisioning and Allocation in Clouds , 2011, CloudCom.

[11]  Daniel Grosu,et al.  Combinatorial Auction-Based Dynamic VM Provisioning and Allocation in Clouds , 2011, 2011 IEEE Third International Conference on Cloud Computing Technology and Science.

[12]  Stefania Costache,et al.  Themis: Economy-based Automatic Resource Scaling for Cloud Systems , 2012, 2012 IEEE 14th International Conference on High Performance Computing and Communication & 2012 IEEE 9th International Conference on Embedded Software and Systems.

[13]  Yonggang Wen,et al.  On the Cost–QoE Tradeoff for Cloud-Based Video Streaming Under Amazon EC2's Pricing Models , 2014, IEEE Transactions on Circuits and Systems for Video Technology.

[14]  Guangwen Yang,et al.  A Knowledge-based Continuous Double Auction Model for Cloud Market , 2010, 2010 Sixth International Conference on Semantics, Knowledge and Grids.

[15]  Petter Svärd,et al.  Cost-Optimal Cloud Service Placement under Dynamic Pricing Schemes , 2013, 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing.

[16]  Imtiaz Ahmad,et al.  Cloud Computing Pricing Models: A Survey , 2013 .

[17]  Rajkumar Buyya,et al.  Provisioning Spot Market Cloud Resources to Create Cost-Effective Virtual Clusters , 2011, ICA3PP.

[18]  Apostolos Papageorgiou,et al.  Maximizing Cloud Provider Profit from Equilibrium Price Auctions , 2012, 2012 IEEE Fifth International Conference on Cloud Computing.