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The careful deployment of hotspots in metropolitan areas allow to maximize WiFi offloading, a viable solution to the recent boost up of mobile data consumption. Our proposed strategy considers routine characteristics present on people's daily trajectories, the space-time interaction between them urban locations, and their transportation modes. Using a reallife metropolitan trace, we show our routine-based...
Current data centers often employ SDNs (Software-Defined Networks) that are layered in most cases. However, information overwhelming has been a limitation to SDN deployment. We present a management model for data center networks. In this approach, regional networks on lower layers will be aggregated and viewed as single switches to upper layers. Management information will be divided into three parts,...
We propose a resource management framework that reduces energy consumption in cloud data centers. The proposed framework predicts the number of virtual machine requests along with their amounts of CPU and memory resources, provides accurate estimations of the number of needed physical machines, and reduces energy consumption by putting to sleep unneeded physical machines. Our framework is based on...
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