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A Profit Maximization Scheme With Guaranteed Quality Of Service In Cloud Computing

Kolluru Pradeepika Kolli Anjali Kollimarla Pavani Sk.Khaja Mohiddin

Subject area: Science,Engineering and Technology  ·  Area of research: Computer Science and Engineering

Abstract

Cloud computing has become more popular in terms of providing resources and services to the costumers. In cloud service provider perspective profit is one of the most important consideration. Profit can be determined by the configuration of cloud service platform under given market demand. At present single long term renting scheme is used which has some of the drawbacks like resource wastage, no guaranteed service quality. To overcome these drawbacks, in this paper we are proposing a double resource renting scheme. A double resource renting scheme is the combination of short-term renting and long-term renting aiming at resolving the existing issues. Secondly, service system is assumed as M/M/m+D queuing model and the performance indicators are also analyzed. Here the waiting time(D) is not fixed like the existing system. Thirdly, a profit maximization problem is formulated for the double renting scheme and solved to obtain optimized configuration of cloud platform. Finally, a series of calculations are conducted to compare the profit of our proposed scheme with that of existing scheme. Obtained results specify that our proposed scheme not only guarantee the quality of all requests but also generated profit more than the existing system.

Keywords

computing, Guaranteed service quality, profit maximization, Queuing model, Waiting time.

References

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[6] H. Xu and B. Li, “Dynamic cloud pricing for revenue maximization,” IEEE Trans. Cloud Computing, vol. 1, no. 2, pp. 158–171, July 2013.

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[9] J. Heo, D. Henriksson, X. Liu, and T. Abdelzaher, “Integrating adaptive components: An emerging challenge in performance-adaptive systems and a server farm casestudy,” in RTSS 2007, Dec 2007, pp. 227–238.

[10] E. Pinheiro, R. Bianchini, E. V. Carrera, and T. Heath, “Dynamic cluster reconfiguration for power and performance,” in Compilers and operating systems for low power. Springer, 2003, pp. 75–93.

[11] X. Fan, W.-D. Weber, and L. A. Barroso, “Power provisioning for a warehouse-sized computer,” in ACM SIGARCH Computer Architecture News, vol. 35, no. 2. ACM, 2007, pp. 13–23.

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How to cite this paper

Kolluru Pradeepika, Kolli Anjali, Kollimarla Pavani, Sk.Khaja Mohiddin "A Profit Maximization Scheme With Guaranteed Quality Of Service In Cloud Computing" Iconic Research And Engineering Journals Volume 1 Issue 9 2018 Page 274-283
Kolluru Pradeepika, Kolli Anjali, Kollimarla Pavani, Sk.Khaja Mohiddin "A Profit Maximization Scheme With Guaranteed Quality Of Service In Cloud Computing" Iconic Research And Engineering Journals, vol. 1, no. 9, Mar. 2018
Kolluru Pradeepika, Kolli Anjali, Kollimarla Pavani, Sk.Khaja Mohiddin (2018). A Profit Maximization Scheme With Guaranteed Quality Of Service In Cloud Computing. Iconic Research And Engineering Journals, 1(9).
Kolluru Pradeepika, Kolli Anjali, Kollimarla Pavani, Sk.Khaja Mohiddin "A Profit Maximization Scheme With Guaranteed Quality Of Service In Cloud Computing" Iconic Research And Engineering Journals, vol. 1, no. 9, Mar. 2018.
@article{1700452,
      author = {Kolluru Pradeepika, Kolli Anjali, Kollimarla Pavani, Sk.Khaja Mohiddin},
      title = {A Profit Maximization Scheme With Guaranteed Quality Of Service In Cloud Computing},
      journal = {Iconic Research And Engineering Journals},
      year = {2018},
      volume = {1},
      number = {9},
      pages = {274-283},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1700452.pdf},
      abstract = {Cloud computing has become more popular in terms of providing resources and services to the costumers. In cloud service provider perspective profit is one of the most important consideration. Profit can be determined by the configuration of cloud service platform under given market demand. At present single long term renting scheme is used which has some of the drawbacks like resource wastage, no guaranteed service quality. To overcome these drawbacks, in this paper we are proposing a double resource renting scheme. A double resource renting scheme is the combination of short-term renting and long-term renting aiming at resolving the existing issues. Secondly, service system is assumed as M/M/m+D queuing model and the performance indicators are also analyzed. Here the waiting time(D) is not fixed like the existing system. Thirdly, a profit maximization problem is formulated for the double renting scheme  and solved to obtain optimized configuration of cloud platform. Finally, a series of calculations  are conducted to compare the profit of our proposed scheme with that of existing scheme. Obtained results specify that our proposed scheme not only guarantee the quality of all requests but also generated profit more than the existing system.},
      keywords = {computing, Guaranteed service quality, profit maximization, Queuing model, Waiting time.},
      month = {March},
  }