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The current large-scale datacenters typically adopt redundancy of servers and communication devices for increased reliability and availability. A highly redundant infrastructure, however, is one of the challenges of the area due to the high energy consumption. This paper presents BEEP, an energy-efficient strategy for datacenter networks based on the Fat Tree topology. Our strategy uses multipaths...
This work proposes an intelligent decision system for a residential infrastructure based on wireless sensors and actuator networks, called ResiDI. In order to achieve this, the proposal is based on the development of a neural network that aims to increase the accuracy in the decision-making, and a temporal correlation mechanism that aims to reduce the energy consumption of the network. When compared...
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