Energy Aware Scheduling Algorithms for Cloud Environments -A Survey

Abstract

Energy-aware scheduling algorithms are emerging as important components in economic-conscious heterogeneous computing systems such as IoT-enabled edge, fog, or cloud environments. Most of the IoT applications utilize cloud infrastructure to process information or perform analytics. The design of energy-aware scheduling algorithms for cloud infrastructures is especially challenging given the highly variable state changes of processors and virtual machines, and the changing available compute nodes typically encountered in such infrastructures. In this paper, we have reviewed the merits and demerits of the available energy-efficient scheduling techniques for cloud environments which could be applied for IoT applications. The paper, in addition, discussed a few design challenges for creating an energy-efficient scheduler.