Abstract
One of the fundamental principles which cloud computing paradigm builds upon is that resources in the cloud may be accessed “on-demand”, i.e., when they are required and for just the time they are required. This intrinsic technologic feature encouraged the cloud commercial providers to adopt the pay-per-use pricing mechanism as it turned to be the most convenient and the easiest to implement. Though pay-per-use ensures significant incomes to providers, still providers experience an underutilization of their computing capacity. It is a matter of fact that unemployed resources represent both a missed income and a cost to providers. In this paper a procurement auction market is proposed as an alternative sell mechanism to maximize the utilization rate of providers’ datacenters. Benefits for the providers are achieved through the use of an adaptive strategy that can be easily tuned to cater for the provider’s own business needs. Also, in the paper the resort to resource overbooking within the provider’s strategy has been analyzed. The proposal’s viability was finally proved through simulation tests conducted on the Cloudsim simulator.
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Notes
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In real situations the time period for which a resource can be requested has no bound; in our simulation we will take into account tasks lasting no longer than 24 h.
References
Agmon Ben-Yehuda, O., Ben-Yehuda, M., Schuster, A., Tsafrir, D.: Deconstructing amazon ec2 spot instance pricing. In: 2011 IEEE Third International Conference on Cloud Computing Technology and Science (CloudCom), pp. 304–311 (2011)
Bonacquisto, P., Di Modica, G., Petralia, G., Tomarchio, O.: A strategy to optimize resource allocation in auction-based cloud markets. In: Proceedings - 2014 IEEE International Conference on Services Computing, SCC 2014, Anchorage, Alaska, USA, Jun 2014
Buyya, R., Yeo, C.S., Venugopal, S.: Market-oriented cloud computing: vision, hype, and reality for delivering it services as computing utilities. In: 10th IEEE International Conference on High Performance Computing and Communications (HPCC 2008), pp. 5–13, Sep 2008
Buyya, R., Ranjan, R., Calheiros, R.N.: InterCloud: utility-oriented federation of cloud computing environments for scaling of application services. In: Park, J.H., Yang, L.T., Yeo, S.-S., Hsu, C.-H. (eds.) ICA3PP 2010, Part I. LNCS, vol. 6081, pp. 13–31. Springer, Heidelberg (2010)
Calheiros, R., Ranjan, R., Beloglazov, A., De Rose, C.A., Buyya, R.: Cloudsim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Softw. Pract. Experience 41, 23–50 (2011)
Chard, K., Bubendorfer, K.: High performance resource allocation strategies for computational economies. IEEE Trans. Parallel Distrib. Syst. 24(1), 72–84 (2013)
Cramton, P., Shoham, Y., Steinberg, R.: Combinatorial Auctions. The MIT Press, Cambridge (2005)
Di Modica, G., Petralia, G., Tomarchio, O.: Procurement auctions to trade computing capacity in the Cloud. In: 8th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2013), Compiegne, France, Oct 2013
Di Modica, G., Tomarchio, O.: Matching the business perspectives of providers and customers in future cloud markets. Cluster Comput. 18(1), 457–475 (2015)
Klemperer, P.: Auction theory: a guide to the literature. J. Econ. Surv. 13(3), 227–286 (1999)
McAfee, R.P., McMillan, J.: Auctions and bidding. J. Econ. Lit. 15, 699–738 (1987)
Parsons, S., Rodriguez-Aguilar, J.A., Klein, M.: Auctions and bidding: a guide for computer scientists. ACM Comput. Surv. 43(2), 1–59 (2011)
Phillips, R.: Pricing and Revenue Optimization. Stanford University Press, CA (2005)
Risch, M., Altmann, J., Guo, L., Fleming, A., Courcoubetis, C.: The gridecon platform: a business scenario testbed for commercial cloud services. In: Altmann, J., Buyya, R., Rana, O.F. (eds.) GECON 2009. LNCS, vol. 5745, pp. 46–59. Springer, Heidelberg (2009)
Vinu Prasad, G., Rao, S., Prasad, A.: A combinatorial auction mechanism for multiple resource procurement in cloud computing. In: 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA) (2012)
Wang, Q., Ren, K., Meng, X.: When cloud meets ebay: towards effective pricing for cloud computing. In: INFOCOM, 2012 Proceedings IEEE, pp. 936–944 (2012)
Zaman, S., Grosu, D.: Combinatorial auction-based allocation of virtual machine instances in clouds. J. Parallel Distrib. Comput. 73(4), 495–508 (2013)
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Bonacquisto, P., Di Modica, G., Petralia, G., Tomarchio, O. (2015). Dynamic Pricing in Cloud Markets: Evaluation of Procurement Auctions. In: Helfert, M., Desprez, F., Ferguson, D., Leymann, F., Méndez Munoz, V. (eds) Cloud Computing and Services Sciences. CLOSER 2014. Communications in Computer and Information Science, vol 512. Springer, Cham. https://doi.org/10.1007/978-3-319-25414-2_3
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