An Energy Efficient Task Scheduling for a Cloud-edge System

Abstract With the widespread popularity of edge computing, energy consumption devices has attracted lots research interests. This paper studies cloud-edge system under solar supply scenario, and optimizes parameter configuration according to photovoltaic power generation, reduce prolong running time. Specifically, we built an video detection based on Raspberry Pi, deeply analyzed model system. Based this, problem dynamically adjusting operating parameters is modeled as a long-term optimization problem. In order solve this effectively, transformed instantaneous problem, so that can be solved efficiently in real time, rationality transformation proved. Finally, propose low-energy-consumption scheduling algorithm optimize task Through simulation experiments, performance proposed evaluated. The results show by average 18%.