Energy Efficiency in Computing

Reducing the energy consumed by computing infrastructure has become one of the more pressing technical challenges as data centers, wireless sensor networks, and distributed IoT systems collectively account for a significant and growing share of global electricity use. Researchers here work on designing algorithms and architectural models that decide how workloads are distributed—across virtual machines, fog computing nodes, or peer-to-peer systems—in ways that minimize wasted power without sacrificing performance or reliability. A central difficulty is that these systems are rarely static: server clusters expand and contract, network conditions shift, and demand spikes unpredictably, so energy-efficient strategies must adapt in real time rather than optimize for a fixed snapshot. Active research directions include developing server selection algorithms that balance load against power draw in fog and IoT environments, and building computation models precise enough to predict the energy cost of different architectural choices before deployment.

Works

2,702

Total citations

5,297

Keywords

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