Energy Efficiency in Computing

Computing infrastructure now consumes a significant and growing share of global electricity, making the question of how to do more work with less power one of the central engineering challenges of the decade. Researchers study how hardware, software, and network architecture interact to determine energy use — examining everything from how individual processors manage workloads to how large clusters of servers, virtual machines, and distributed IoT devices can be orchestrated to avoid waste. A recurring open question is how to design server selection and task-scheduling algorithms that adapt in real time to shifting demand while keeping power draw close to the theoretical minimum. In emerging environments like fog computing, where computation is pushed to the network edge rather than centralized data centers, the tradeoffs between latency, reliability, and energy efficiency are still being mapped out.

Works

2,782

Total citations

5,327

Keywords

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