Less Carbon Footprint in Edge Computing by Joint Task Offloading and Energy Sharing

We address reducing carbon footprint (CF) in the context of edge computing. The intensity electricity supply largely varies spatially as well temporally. consider optimal task scheduling and offloading, battery charging to minimize total CF.We formulate this optimization problem a mixed integer linear programming model. However, we demonstrate that, via graph-based reformulation, can be cast minimum-cost flow problem, global optimum admitted polynomial time. Numerical results using real-world data show that reduce up 83.3% CF.