Distributed Energy Computing Task Allocation Scheme Based on Blockchain and Edge Computing

With the advancement of dual-carbon goals, the construction of distributed energy is gradually accelerating. The traditional centralized information scheduling method deploys message processing work in the cloud, resulting in slow message processing speed and data transmission delay. At the same time, blockchain has irreplaceable advantages in value representation, data sharing and secure transmission. Edge computing improves data processing efficiency and reduces delay. Therefore, this paper proposes a distributed energy computing task allocation scheme based on blockchain and edge computing to ensure data security under the premise of improving data processing speed. The communication delay of the computing mode in this paper is about 12.3‥ less than that of the cloud computing mode, and the energy consumption is about 30.6‥ less.