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A Brokering Model for the Cloud Market

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Cloud Computing – CLOUD 2021 (CLOUD 2021)

Abstract

The cloud broker is an IT role and a business model that acts as an intermediary agent between cloud providers and end users. The exponentially increasing adoption of the IaaS market has contributed significantly to the so far growth of the Cloud Broker market. The unprecedented scenario of COVID-19 pandemic has upgraded the role and the contribution of broker to the cloud market, since cloud adoption has been further accelerated by the COVID-19 crisis. Cloud broker guarantees the availability of a given amount of resources for use at a specific time, offering pricing policies that benefit consumers and boost broker’s profitability. Into that context a cloud brokering model, is introduced and described, together with a profit maximization economic model, suggesting and evaluating different pricing policies that ensure the viability of the business and boost profitability. The pricing policy that is able to lead to the maximum profit potential is also highlighted.

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References

  1. Alashhab, Z.R., Anbar, M., Singh, M.M., Leau, Y.B., Al-Sai, Z.A., Alhayja’a, S.A.: Impact of coronavirus pandemic crisis on technologies and cloud computing applications. J. Electr. Sci. Technol. 19,100059 (2020)

    Google Scholar 

  2. Amazon: https://aws.amazon.com. Accessed 6 Apr 2021

  3. Amazonmarketshare. https://www.statista.com/chart/18819/worldwide-market-share-of-leading-cloud-infrastructure-service-providers/. Accessed 7 Apr 2021

  4. Ambati, P., Irwin, D., Shenoy, P.: No reservations: a first look at amazon’s reserved instance marketplace. In: 12th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 2020) (2020)

    Google Scholar 

  5. Azure, M.: https://azure.microsoft.com/en-us/. Accessed 6 Apr 2021

  6. Boulding, K.E.: The concept of economic surplus. Am. Econ. Rev. 35(5), 851–869 (1945)

    Google Scholar 

  7. Buyya, R., Yeo, C.S., Venugopal, S., Broberg, J., Brandic, I.: Cloud computing and emerging it platforms: vision, hype, and reality for delivering computing as the 5th utility. Fut. Gene. Comput. Syst. 25(6), 599–616 (2009)

    Article  Google Scholar 

  8. Elmaghraby, W., Keskinocak, P.: Dynamic pricing in the presence of inventory considerations: research overview, current practices, and future directions. Manag. Sci. 49(10), 1287–1309 (2003)

    Article  Google Scholar 

  9. Filiopoulou, E., Mitropoulou, P., Michalakelis, C., Nikolaidou, M.: The rise of cloud brokerage: business model, profit making and cost savings. In: Bañares, J.Á., Tserpes, K., Altmann, J. (eds.) GECON 2016. LNCS, vol. 10382, pp. 19–32. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-61920-0_2

    Chapter  MATH  Google Scholar 

  10. Friedlob, G.T., Plewa Jr., F.J.: Understanding Return on Investment. John Wiley & Sons, Hoboken (1996)

    Google Scholar 

  11. Hanna, N., Dodge, H.R.: Pricing: Policies and Procedures. Macmillan International Higher Education, London (2017)

    Google Scholar 

  12. Cloud Services Global Market Report 2021: COVID 19 Impact and Recovery to 2030. https://www.reportlinker.com/p06009776/Cloud-Services-Global-Market-Report-COVID-19-Impact-and-Recovery-to.html. Accessed 28 Apr 2021

  13. Reserved Instances. https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-reserved-instances.html. Accessed 6 Apr 2021

  14. On Demand Instances. https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-on-demand-instances.html. Accessed 6 Apr 2021

  15. Reserved Instances. https://aws.amazon.com/ec2/pricing/reserved-instances/pricing/. Accessed 6 Apr 2021

  16. Amazon EC2 Spot instances. https://aws.amazon.com/ec2/spot/pricing/

  17. Amazon EC2 T3 Instances. https://aws.amazon.com/ec2/instance-types/t3/

  18. Kampf, R., Majerčák, P., Švagr, P.: Application of break-even point analysis. NAŠE MORE: znanstveni časopis za more i pomorstvo 63(3 Special Issue), 126–128 (2016)

    Google Scholar 

  19. Llorente, I.M.: The limits to cloud price reduction. IEEE Cloud Comput. 4(3), 8–13 (2017)

    Article  Google Scholar 

  20. marketsandmarket. https://www.marketsandmarkets.com/Market-Reports/covid-19-impact-on-cloud-computing-market-86614844.html

  21. Mei, J., Li, K., Tong, Z., Li, Q., Li, K.: Profit maximization for cloud brokers in cloud computing. IEEE Trans. Parallel Distrib. Syst. 30(1), 190–203 (2018)

    Article  Google Scholar 

  22. Nesmachnow, S., Iturriaga, S., Dorronsoro, B.: Efficient heuristics for profit optimization of virtual cloud brokers. IEEE Comput. Intell. Mag. 10(1), 33–43 (2015)

    Article  Google Scholar 

  23. GC Platform. https://azure.microsoft.com/en-us/

  24. Reinhardt, U.E.: Break-even analysis for lockheed’s Tri Star: an application of financial theory. J. Fin. 28(4), 821–838 (1973)

    Article  Google Scholar 

  25. Research and Markets: Cloud services brokerage market - growth, trends, Covid-19 impact, and forecasts (2021–2026). https://www.researchandmarkets.com/reports4591657/cloud-services-brokerage-market-growth-trends

  26. Saha, G., Pasumarthy, R.: Maximizing profit of cloud brokers under quantized billing cycles: a dynamic pricing strategy based on ski-rental problem. In: 2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton), pp. 1000–1007 IEEE (2015)

    Google Scholar 

  27. Share, I.M.: https://www.statista.com/statistics/258718/market-growth-forecast-of-public-it-cloud-services-worldwide/

  28. Shinde, V., Patil, A., Kodre, S., Bhandari, G., et al.: Participation of cloud broker in cloud computing to achieve maximum profit. Int. J. Res. Anal. Rev. 5(4), 1109–1112 (2018)

    Google Scholar 

  29. Wang, X., et al.: Maximizing the profit of cloud broker with priority aware pricing. In: 2017 IEEE 23rd International Conference on Parallel and Distributed Systems (ICPADS), pp. 511–518. IEEE (2017)

    Google Scholar 

  30. White, T.B., Yuan, H.: Building trust to increase purchase intentions: the signaling impact of low pricing policies. J. Consumer Psychol. 22(3), 384–394 (2012)

    Article  Google Scholar 

  31. Zhang, R., Wu, K., Li, M., Wang, J.: Online resource scheduling under concave pricing for cloud computing. IEEE Trans. Paralle.l Distrib. Syst. 27(4), 1131–1145 (2015)

    Article  Google Scholar 

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Correspondence to Georgios Chatzithanasis .

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Chatzithanasis, G., Filiopoulou, E., Michalakelis, C., Nikolaidou, M. (2022). A Brokering Model for the Cloud Market. In: Ye, K., Zhang, LJ. (eds) Cloud Computing – CLOUD 2021. CLOUD 2021. Lecture Notes in Computer Science(), vol 12989. Springer, Cham. https://doi.org/10.1007/978-3-030-96326-2_1

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  • DOI: https://doi.org/10.1007/978-3-030-96326-2_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-96325-5

  • Online ISBN: 978-3-030-96326-2

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