Grid Resource Commercialization: Economic Engineering and Delivery Scenarios
In this chapter we consider the architectural steps needed to commercialize Grid resources as technical focus shifts towards business requirements. These requirements have been met for conventional utilities resources through commoditization, a variety of market designs, customized contract design,...
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2004
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sg-smu-ink.sis_research-18362010-11-29T07:54:04Z Grid Resource Commercialization: Economic Engineering and Delivery Scenarios CHELIOTIS, Giorgos KENYON, C. In this chapter we consider the architectural steps needed to commercialize Grid resources as technical focus shifts towards business requirements. These requirements have been met for conventional utilities resources through commoditization, a variety of market designs, customized contract design, and decision support. Decision support is needed to exploit the flexibility provided by Grids in the context of uncertain and dynamic user requirements and resource prices. We provide a detailed example of how the decision support for users can be formulated as a multi-stage stochastic optimization problem. We derive required architectural features for commercialization using inspiration from conventional utilities and considering the delivery context of Grid resources. We consider two basic delivery scenarios: a group of peers and a group with an external provider. In summary, we provide a conceptual framework for Grid resource commercialization including both the understanding of the underlying resource commodity characteristics and also the delivery context. 2004-01-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/837 info:doi/10.1007/978-1-4615-0509-9_28 http://dx.doi.org/10.1007/978-1-4615-0509-9_28 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems Numerical Analysis and Scientific Computing Systems Architecture |
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Databases and Information Systems Numerical Analysis and Scientific Computing Systems Architecture CHELIOTIS, Giorgos KENYON, C. Grid Resource Commercialization: Economic Engineering and Delivery Scenarios |
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In this chapter we consider the architectural steps needed to commercialize Grid resources as technical focus shifts towards business requirements. These requirements have been met for conventional utilities resources through commoditization, a variety of market designs, customized contract design, and decision support. Decision support is needed to exploit the flexibility provided by Grids in the context of uncertain and dynamic user requirements and resource prices. We provide a detailed example of how the decision support for users can be formulated as a multi-stage stochastic optimization problem. We derive required architectural features for commercialization using inspiration from conventional utilities and considering the delivery context of Grid resources. We consider two basic delivery scenarios: a group of peers and a group with an external provider. In summary, we provide a conceptual framework for Grid resource commercialization including both the understanding of the underlying resource commodity characteristics and also the delivery context. |
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text |
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CHELIOTIS, Giorgos KENYON, C. |
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CHELIOTIS, Giorgos KENYON, C. |
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CHELIOTIS, Giorgos |
title |
Grid Resource Commercialization: Economic Engineering and Delivery Scenarios |
title_short |
Grid Resource Commercialization: Economic Engineering and Delivery Scenarios |
title_full |
Grid Resource Commercialization: Economic Engineering and Delivery Scenarios |
title_fullStr |
Grid Resource Commercialization: Economic Engineering and Delivery Scenarios |
title_full_unstemmed |
Grid Resource Commercialization: Economic Engineering and Delivery Scenarios |
title_sort |
grid resource commercialization: economic engineering and delivery scenarios |
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Institutional Knowledge at Singapore Management University |
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2004 |
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https://ink.library.smu.edu.sg/sis_research/837 http://dx.doi.org/10.1007/978-1-4615-0509-9_28 |
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