Energy Efficiency in Computing

Computing infrastructure now consumes a substantial and growing share of global electricity, making the design of energy-efficient hardware and system architectures an urgent engineering challenge. Researchers in this area study how power is drawn, wasted, and conserved across a wide range of computing environments—from large server clusters and virtual machine deployments to wireless sensor networks, fog computing nodes at the edge of the internet, and peer-to-peer systems. A central concern is developing algorithms that decide, in real time, which servers or devices should handle a given workload so that energy use stays minimal without degrading performance or reliability. Open questions include how to build computation models accurate enough to guide these decisions under unpredictable demand, and how the principles developed for traditional data centers can translate cleanly to the constrained, heterogeneous devices that make up the Internet of Things.

Works

2,651

Total citations

5,260

Keywords

Power ConsumptionServer Selection AlgorithmsFog ComputingEnergy-Efficient ModelsPeer-to-Peer SystemsWireless Sensor Networks