SCIENCE CHINA Information Sciences, Volume 59, Issue 10: 102303(2016) https://doi.org/10.1007/s11432-016-0355-0

## Pricing the spare bandwidth: towards maximizing data center's profit

• AcceptedJul 13, 2016
• PublishedSep 9, 2016
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### Abstract

To provide tenants with predictable network performance, tenants are allowed to purchase specified amount of data center network (DCN) resources (e.g., bandwidth). Then, data center will reserve the purchased resources for the corresponding tenants. Meanwhile, some DCNs are work conserving, which means that the spare bandwidth will be fairly shared by all active tenants. Even though the amount of the spare bandwidth is stochastic and uncertain, DCN providers are not likely to give away it for free. Thus, data center with work conserving may impose extra payment on tenants for using the spare bandwidth. In this paper, we propose a suitable tariff to charge for the usages of DCN resources, which includes a bill for the usage of the spare bandwidth. Through theoretical analysis and simulation, we demonstrate that our tariff can incentivize tenants to adjust their purchases of bandwidths, which can lead to the improvement of data center's profit by $27.4\%$ without impairing the social welfare.

### Funded by

National High Technology Research and Development Program of China(2015AA016102)

National Key R&D Program(2016YFB0800100)

Ministry of Education - China Mobile Research Fund(20130131)

Natural Science Foundation of China grant(61271171)

### Acknowledgment

Acknowledgments

This work was supported by National High Technology Research and Development Program of China (Grant No. 2015AA016102), National Key R&D Program (Grant No. 2016YFB0800100), Ministry of Education - China Mobile Research Fund (Grant No. 20130131) and Natural Science Foundation of China grant (Grant No. 61271171).

### References

[1] Armbrust M, Fox A, Griffith R, et al. A view of cloud computing. Commun ACM, 2010, 53: 50-58 Google Scholar

[2] Schad J, Dittrich J, Quian{é}-Ruiz J-A. Runtime measurements in the cloud: observing, analyzing, and reducing variance. Proc VLDB Endow, 2010, 3: 460-471 CrossRef Google Scholar

[3] Xie D, Ding N, Hu Y C, et al. The only constant is change: incorporating time-varying network reservations in data centers. In: Proceedings of the ACM SIGCOMM Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, Helsinki, 2012. 199--210. Google Scholar

[4] Popa L, Yalagandula P, Banerjee S, et al. Elasticswitch: practical work-conserving bandwidth guarantees for cloud computing. In: Proceedings of the ACM SIGCOMM Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, Hong Kong, 2013. 351--362. Google Scholar

[5] Niu D, Feng C, Li B. Pricing cloud bandwidth reservations under demand uncertainty. SIGMETRICS Perform Eval Rev, 2012, 40: 151-162 CrossRef Google Scholar

[6] Zhan Y, Xu D, Ou Y. Distributednet: a reasonable pricing and flexible network architecture for datacenter. In: Proceedings of the IEEE International Conference on Communications, Sydney, 2014. 3999--4004. Google Scholar

[7] Mogul J C, Popa L. What we talk about when we talk about cloud network performance. http://conferences. sigcomm.org/sigcomm/2013/slides/sigcomm/08.pdf. 2013. Google Scholar

[8] Ersoz D, Yousif M S, Das C R. Characterizing network traffic in a cluster-based, multi-tier data center. In: Proceedings of the IEEE International Conference on Distributed Computing Systems, Toronto, 2007. 59. Google Scholar

[9] Benson T, Akella A, Maltz D A. Network traffic characteristics of data centers in the wild. In: Proceedings of the ACM SIGCOMM Conference on Internet Measurement, Melbourne, 2010. 267--280. Google Scholar

[10] Sen S, Joe-Wong C, Ha S, et al. A survey of smart data pricing: past proposals, current plans, and future trends. ACM Comput Surv, 2013, 15: 1-37 Google Scholar

[11] Shakkottai S, Srikant R, Ozdaglar A, et al. The price of simplicity. IEEE J Sel Areas Commun, 2008, 26: 1269-1276 CrossRef Google Scholar

[12] Rodrigues H, Santos J R, Turner Y, et al. Gatekeeper: supporting bandwidth guarantees for multi-tenant datacenter networks. In: Proceedings of the USENIX Conference on I/O Virtualization, Portland, 2011. 6. Google Scholar

[13] Schwind M. Dynamic pricing and automated resource allocation for complex information services: reinforcement learning and combinatorial auctions. Berlin: Springer-Verlag, 2007. 27--66. Google Scholar

[14] Chiang M, Low S H, Calderbank A R, et al. Layering as optimization decomposition: a mathematical theory of network architectures. Proc IEEE, 2007, 95: 255-312 CrossRef Google Scholar

[15] Courcoubetis C, Weber R. Pricing Communication Networks: Economics, Technology and Modelling. Hoboken: Wiley Online Library, 2003. Google Scholar

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