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Provisioning for Cloud Computing

Abstract Details

2011, Master of Science, Ohio State University, Industrial and Systems Engineering.
The paradigm of cloud computing has started a new era of service computing. While there are many research efforts on developing enabling technologies for cloud computing, few focuses on how to strategically set price and capacity and what key components are leading to success in this emerging market. In this thesis, we present quantitative modeling and optimization approaches for assisting such decisions in cloud computing services. We first show that learning curve models help in understanding the potential market of cloud services and explain quantitatively why cloud computing is most attractive to small and medium businesses. We then present Single Instance model to depict a particular type of cloud networks and aid in resource provisioning for the cloud service providers. We further present Multiple Instance model to depict any generic cloud network. We map the resource provisioning problem to Kelly's Loss Network and propose Genetic Algorithm to solve it. The approach provides the cloud service provider a quantitative framework to obtain management solutions and to learn and react to the critical parameters in the operation management process by gaining useful business insights.
Dr. Cathy Xia (Advisor)
Dr. Theodore Allen (Committee Member)

Recommended Citations

Citations

  • Gera, A. (2011). Provisioning for Cloud Computing [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1293740673

    APA Style (7th edition)

  • Gera, Amit. Provisioning for Cloud Computing. 2011. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1293740673.

    MLA Style (8th edition)

  • Gera, Amit. "Provisioning for Cloud Computing." Master's thesis, Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1293740673

    Chicago Manual of Style (17th edition)