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Cost Model Based Service Placement in Federated Hybrid Clouds

Listed author(s):
  • Jorn Altmann

    ()

    (College of Engineering, Seoul National University)

  • Mohammad Mahdi Kashef

    ()

    (College of Engineering, Seoul National University)

As cloud federation allows companies in need of computational resources to use computational resources hosted by different cloud providers, it reduces the cost of IT infrastructure by lowering capital and operational expenses. This is the result of economies of scale and the possibility for organizations to purchase just as much computing and storage resources as needed whenever needed. However, a clear specification of cost savings requires a detailed specification of the costs incurred. Although there are some efforts to define cost models for clouds, the need for a comprehensive cost model, which covers all cost factors and types of clouds, is undeniable. In this paper, we cover this gap by suggesting a cost model for the most general form of a cloud, namely federated hybrid clouds. This type of cloud is composed of a private cloud and a number of interoperable public clouds. The proposed cost model is applied within a cost minimization algorithm for making service placement decisions in clouds. We demonstrate the workings of our cost model and service placement algorithm within a specific cloud scenario. Our results show that the service placement algorithm with the cost model minimizes the spending for computational services.

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File URL: ftp://147.46.237.98/DP-116.pdf
File Function: First version, 2014
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Paper provided by Seoul National University; Technology Management, Economics, and Policy Program (TEMEP) in its series TEMEP Discussion Papers with number 2014116.

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Length: 32 pages
Date of creation: Sep 2014
Date of revision: Sep 2014
Publication status: Published in Elsevier Journal of Future Generation Computer Systems.
Handle: RePEc:snv:dp2009:2014116
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References listed on IDEAS
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  1. Michael Maurer & Vincent C. Emeakaroha & Ivona Brandic & Jorn Altmann, 2010. "Cost and Benefit of the SLA Mapping Approach for Defining Standardized Goods in Cloud Computing Markets," TEMEP Discussion Papers 201069, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Dec 2010.
  2. Jorn Altmann & Juthasit Rohitratana, 2009. "Software Resource Management Considering the Interrelation between Explicit Cost, Energy Consumption, and Implicit Cost: A Decision Support Model for IT Managers," TEMEP Discussion Papers 200936, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Nov 2009.
  3. Jorn Altmann & Costas Courcoubetis & Marcel Risch, 2010. "A Marketplace and its Market Mechanism for Trading Commoditized Computing Resources," TEMEP Discussion Papers 201059, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Mar 2010.
  4. Mohammad Mahdi Kashef & Jorn Altmann, 2011. "A Cost Model for Hybrid Clouds," TEMEP Discussion Papers 201182, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Dec 2011.
  5. Ashraf Bany Mohammed & Jorn Altmann & Junseok Hwang, 2010. "Cloud Computing Value Chains Understanding Businesses and Value Creation in the Cloud," TEMEP Discussion Papers 201061, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jun 2010.
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