In this paper, we consider a federated cloud computing effect. Cloud computing provides software, platform, and infrastructure as services. Customers pay for the services in a pay-as-you-go model. As an effort of quantifying the effect of cloud computing, this paper evaluates a federated cloud computing network. For the evaluation we studied the simple deterministic demand model and the simple probabilistic demand model. In both cases, the effects of online migration of virtual machines can be clearly identified. Specially, for the probabilistic model we define service level as the proportion of time that the capacity of a data center satisfies the amount of the demand. With the service level concept, the performance of the federation and non-federation can be compared. The models in the paper are basic quantitative ones which can be extended to several other complex models with financial effects.
Content-Centric Network (CCN) sends data to avoid duplicated transmission with content name in the network. However, CCN may cause increase in overhead while maintaining contents management table and create storage problem while storing contents information in the node. In this paper, we proposed a new searching scheme using interesting keyword and manage contents table via overlay network. The content providers with high frequency are chosen in the network. Then an overlay network is constructed using content providers. Via overlay network, it is possible to reduce the number of message transmissions and overhead to manage content management table in the network.
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