Dr H Shaheen
A systematic approach on reducing the energy consumption in green computing
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Green computing is focusing on reducing the energy consumption, resource usage, carbon dioxide emission. It was found that Last year, Google used about 12.4 terawatt-hours of electricity. Energy consumption in data centers is reduced by decreasing the resource utilization that is by switching off or shifting the computing nodes to sleep mode. But when the servers are being used the energy consumption is minimized by using energy efficient scheduling and optimization techniques.In WNS the sensor nodes are deployed in remote areas, these sensors are powered by battery that decreases the lifetime, therefore by using energy efficient techniques can increase the uptime of the battery-operated devices in WNS. This work studied various energy efficient techniques that minimize energy consumption usage in Data Centers (DC) and the algorithms that increase the uptime of the battery-operated device in (WNS) Wireless Network Sensors.
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