Business Support Service Platform for Providers in Open Cloud Computing Markets
AbstractCloud computing faces two business-related issues. First, the management of clouds requires not only technical skills but also the understanding of the business side of these systems. Traditional distributed systems research did not require this understanding, simply assuming that all components involved are willing to cooperate according to the resource allocation algorithm prescribed. This cooperation assumption is not valid anymore if clouds are commercial. Secondly, the demand of cloud customers can cause demand spikes at any time, raising the questions on how to allocate the limited resources. Consequently, a real-time view of the provider’s business with respect to revenue streams and costs becomes essential for cloud providers. Such a system helps them to respond in an economically efficient way. From the user perspective, the understanding of the different offerings of clouds is also becoming none-trivial, requiring a support in selecting the best-fitting cloud service. A solution to these two issues is the use of business economics. The objective of this work is to lay out a concept and design of a business support service platform, which is called Cloud Management Cockpit (CMC), which uses business economics for giving decision support to providers for managing clouds and for using clouds. The applications of the CMC are laid out in three scenarios. They highlight the usefulness of the CMC business support models and demonstrate how CMC enables platform interoperability, service composition, and reduces complexity of clouds.
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Bibliographic InfoPaper provided by Seoul National University; Technology Management, Economics, and Policy Program (TEMEP) in its series TEMEP Discussion Papers with number 201179.
Length: 19 pages
Date of creation: Sep 2011
Date of revision: Sep 2011
Publication status: Published in Proceedings of INC 2011, 7th International Conference on Networked Computing
Cloud architecture; cloud economics; business economics; optimization; cloud markets.;
Find related papers by JEL classification:
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
- L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
- M15 - Business Administration and Business Economics; Marketing; Accounting - - Business Administration - - - IT Management
- M21 - Business Administration and Business Economics; Marketing; Accounting - - Business Economics - - - Business Economics
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-10-15 (All new papers)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- Dang Minh Quan & Jorn Altmann, 2010. "Grid Business Models for Brokers Executing SLA-Based Workflows," TEMEP Discussion Papers 201046, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jan 2010.
- Marcel Risch & Jorn Altmann, 2010. "Capacity Planning in Economic Grid Markets," TEMEP Discussion Papers 201045, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jan 2010.
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