  This paper studies an optimal workload allocation problem for a network of
renewable energy-powered edge clouds that serve users located across various
geographical areas. Specifically, each edge cloud is furnished with both an
on-site renewable energy generation unit and a battery storage unit. Due to the
discrepancy in electricity pricing and the diverse temporal-spatial
characteristics of renewable energy generation, how to optimally allocate
workload to different edge clouds to minimize the total operating cost while
maximizing renewable energy utilization is a crucial and challenging problem.
To this end, we introduce and formulate an optimization-based framework
designed for Edge Service Providers (ESPs) with the overarching goal of
simultaneously reducing energy costs and environmental impacts through the
integration of renewable energy sources and battery storage systems, all while
maintaining essential quality-of-service standards. Numerical results
demonstrate the effectiveness of the proposed model and solution in maintaining
service quality as well as reducing operational costs and emissions.
Furthermore, the impacts of renewable energy generation and battery storage on
optimal system operations are rigorously analyzed.
