Carbon-Aware Full-Decentralized Multi-Provider Edge Computing Peer Offloading

The edge computing market has been proliferating, which is foreseen to embrace more solution providers joining under the framework of 6G. Many research efforts exist, focusing on edge computing peer offloading among a single provider. However, there are limited discussions on multi-provider scenarios, which raises new challenge associated with providers' synchronization and property protection. Moreover, carbon footprint for multi-provider edge computing peer offloading will be even higher, which is also overlooked. Therefore, this paper provides a generic architecture and system model of full-decentralized on-demand edge computing peer offloading, specifically targeting multi-provider scenarios with providers' protection and carbon reduction. The carbon-aware peer offloading algorithm is formulated as an optimization process with Lagrangian modeling, which is physically embedded in edge computing servers, thus reaching consensus without data aggregation or property-sensitive data sharing. Simulation results reveal that the proposed algorithm achieves reduced carbon footprint, while maintaining a high quality of service.