Five resource allocation strategies for the cloud infrastructure

Xue Wang, Miguel Razo, Marco Tacca, Ning So, Andrea Fumagalli · Optical Network Design and Modelling · 2013

As both cloud applications and infrastructure technologies become more advanced, there is a general expectation that cloud based applications are going to experience improved end-to-end performance assurance while maintaining a competitive cost of service. In this paper, the authors continue to explore the potential performance and cost advantages, which may originate when applying joint optimization resource allocation strategies to the cloud infrastructure in the presence of dynamic application requests. Five resource allocation strategies are defined and compared to estimate relative performance gains in a number of resource (network bandwidth, data center CPU, memory and storage) distribution scenarios.

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