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Cloud Resource Pricing Under Tenant Rationality

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Abstract

With the recent emergence of the cloud market, cloud resource pricing fundamentally determines cloud revenue, cloud resource allocation and tenant demand dynamics. However, strategic interactions between cloud providers and tenant users are largely unknown. In this chapter, we consider a monopoly cloud market by formulating a competitive market among tenants. A novel Stackelberg game is proposed to tractably analyze such strategic interactions for optimal cloud resource pricing. To empirically evaluate our analyses, we conduct extensive simulations driven by 40 GB of realistic workload traces from Google.

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References

  1. Amazon EC2, 2013. http://aws.amazon.com/ec2/.

  2. Byung Chul Tak, Bhuvan Urgaonkar, and Anand Sivasubramaniam. Cloudy with a Chance of Cost Savings. IEEE Transactions on Parallel and Distributed Systems, 24(6):1223–1233, June 2013.

    Article  Google Scholar 

  3. Di Niu, Chen Feng, and Baochun Li. A Theory of Cloud Bandwidth Pricing for Video-on-Demand Providers. In Proc. of INFOCOM, March 2012.

    Google Scholar 

  4. Di Niu, Chen Feng, and Baochun Li. Pricing Cloud Bandwidth Reservations under Demand Uncertainty. In Proc. of SIGMETRICS, June 2012.

    Google Scholar 

  5. Frederic Bastiat. What is seen and what is not seen. Selected Essays on Political Economy, 1995.

    Google Scholar 

  6. Google App Engine, 2013. https://appengine.google.com/start.

  7. Google Cluster Data, 2013. https://code.google.com/p/googleclusterdata/.

  8. Google Cluster Data, 2013. http://code.google.com/p/googleclusterdata/wiki/ClusterData2011_1.

  9. Hong Xu and Baochun Li. A Study of Pricing for Cloud Resources. ACM SIGMETRICS Performance Evaluation Review, Special Issue on Cloud Computing, March 2013.

    Google Scholar 

  10. Hongyi Wang, Qingfeng Jing, Rishan Chen, Bingsheng He. Distributed Systems Meet Economics, Zhengping Qian, and Lidong Zhou: Pricing in the Cloud. In Proc. of USENIX HotCloud, June 2010.

    Google Scholar 

  11. Marian Mihailescu and Yong Meng Teo. Dynamic Resource Pricing on Federated Clouds. In Proc. of 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, 2010.

    Google Scholar 

  12. Mark Skidmore and Hideki Toyaz. Does Natural Disasters Promote Long-run Growth? Economic Inquiry, 40(4):664–687, October 2002.

    Google Scholar 

  13. Verena Kantere, Debabrata Dash, Gregory Francois, Sofia Kyriakopoulou, and Anastasia Ailamaki. Optimal Service Pricing for a Cloud Cache. IEEE Transactions on Knowledge and Data Engineering, 23(9):1345–1358, September 2011.

    Article  Google Scholar 

  14. Wei Wang, Baochun Li, and Ben Liang. Towards Optimal Capacity Segmentation with Hybrid Cloud Pricing. In Proc. of ICDCS, June 2012.

    Google Scholar 

  15. Windows Azure Pricing Calculator, 2013. http://www.windowsazure.com/en-us/pricing/calculator/.

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Correspondence to Xin Jin .

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© 2015 Springer Science+Business Media New York

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Jin, X., Kwok, YK. (2015). Cloud Resource Pricing Under Tenant Rationality. In: Khan, S., Zomaya, A. (eds) Handbook on Data Centers. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2092-1_19

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  • DOI: https://doi.org/10.1007/978-1-4939-2092-1_19

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4939-2091-4

  • Online ISBN: 978-1-4939-2092-1

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