Market Mechanisms for Trading Grid Resources
GECON '08 Proceedings of the 5th international workshop on Grid Economics and Business Models
Communications of the ACM
EPEW'07 Proceedings of the 4th European performance engineering conference on Formal methods and stochastic models for performance evaluation
CLOUD '10 Proceedings of the 2010 IEEE 3rd International Conference on Cloud Computing
Cloud Computing Principles and Paradigms
Cloud Computing Principles and Paradigms
Environment-conscious scheduling of HPC applications on distributed Cloud-oriented data centers
Journal of Parallel and Distributed Computing
Journal of Grid Computing
Towards complex negotiation for cloud economy
GPC'10 Proceedings of the 5th international conference on Advances in Grid and Pervasive Computing
A cost model for hybrid clouds
GECON'11 Proceedings of the 8th international conference on Economics of Grids, Clouds, Systems, and Services
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The acknowledged success and diffusion of Cloud computing is due to its great potential in terms of improving companies' business model. Notwithstanding this opportunity, two main issues arise: the need of brokers supporting users in the selection of the most suitable offers, and the provisioning of dedicated services with higher levels of quality different from mere availability. This paper discusses the expected performance in a real-case scenario of a Cloud brokering tool delivering two services: e-Learning courses in virtual classroom and Risk Assessment evaluation, each with a specific set of non-functional requirements. The broker relies on the resources supplied by a hybrid Cloud infrastructure, allocated following different scheduling strategies, which dynamically select the proposals better satisfying the QoS requested by users. The objective is the execution of the highest amount of user requests along with the maximization of the profit of the private Cloud provider, in a context of posted price economic model.