New PDF release: Economics of Grids, Clouds, Systems, and Services: 8th

By Aminul Haque, Saadat M. Alhashmi, Rajendran Parthiban (auth.), Kurt Vanmechelen, Jörn Altmann, Omer F. Rana (eds.)

ISBN-10: 3642286755

ISBN-13: 9783642286759

This ebook constitutes the refereed post-proceedings of the eighth foreign Workshop on Economics of Grids, Clouds, platforms, and providers, GECON 2011, held in Paphos, Cyprus, in December 2011. The nine revised complete papers awarded including five paintings in development papers have been rigorously reviewed and chosen from 27 papers. The papers are geared up in topical sections on marketplace mechanisms and negotiation; rate types, charging, and buying and selling systems; source allocation, scheduling, and admission regulate; and paintings in development sections: danger evaluation and economics of cloud companies; and cost-aware adoption of cloud services.

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Additional resources for Economics of Grids, Clouds, Systems, and Services: 8th International Workshop, GECON 2011, Paphos, Cyprus, December 5, 2011, Revised Selected Papers

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Since counter-proposals can overbid formal proposals, it is obvious, that the negotiation may result in an infinite loop. The authors argue that this situation can be prevented by enforcing time constraints. However, time-dependent strategies are not considered in their approach. Sim [15] focuses on market-based SLA negotiations in cloud computing. He considers a three-tier model where negotiation takes place between consumers, brokers and resource providers. A market-driven strategy is applied, where the concession amount depends on time, trading alternatives and competition.

36 J. Roovers, K. Vanmechelen, and J. Broeckhove providers to run custom code that can verify constraints within the market during the matching process. t. code verification and protecting the market’s integrity. By giving the market a database of standard constraints for which it knows the matching semantics and leaving the matching of non-standardized constraints to the consumer and provider themselves, the technical difficulties that remote code introduces are effectively avoided. In practice, such a system lets consumers and providers specify the name of the constraint as part of the constraint set when a standard constraint is used and specify the endpoint of a web service that can verify custom constraints in the other cases.

The term pA (T ) is then the unit price specified by provider A for usage of the resource specified by tag T . g. in a table) as shown in Table 1. Table 1. 05 By grouping the resources, providers can indicate that the consumer should only be charged once for those resources. Similarly, by adding a resource multiple times with different usage tags, the provider can indicate that certain resources incur costs that are determined by multiple factors (in the case of the load balancing service, both per hour and per in- or outgoing GB).

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Economics of Grids, Clouds, Systems, and Services: 8th International Workshop, GECON 2011, Paphos, Cyprus, December 5, 2011, Revised Selected Papers by Aminul Haque, Saadat M. Alhashmi, Rajendran Parthiban (auth.), Kurt Vanmechelen, Jörn Altmann, Omer F. Rana (eds.)


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