Using Clouds to Scale Grid Resources: An Economic Model

Abstract : Infrastructure as a Service clouds are a f lexible and fast way to obtain (virtual) resources as demand varies. Grids, on the other hand, are middleware platforms able to combine resources from different administrative domains for tasks execution. Clouds can be used by grids as providers of devices such as virtual machines, so they only use the resources they need. This requires grids to be able to decide when to allocate and release those resources. Here we introduce and analyze by simulations an economic mechanism a) to set resource prices and b) resolve when to scale resources depending on the users demand. This system has a strong emphasis on fairness, so no user hinders the execution of other users' tasks by getting too many resources. Our simulator is based on the well-known GridSim software for grid simulation, which we expand to simulate infrastructure clouds. The results show how the proposed system can successfully adapt the amount of allocated resources to the demand, while at the same time ensuring that resources are fairly shared among users.
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Luis Rodero-Merino, Eddy Caron, Frédéric Desprez, Adrian Muresan. Using Clouds to Scale Grid Resources: An Economic Model. [Research Report] RR-7837, INRIA. 2011, pp.34. ⟨hal-00657309⟩

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