Resource allocation and trust computing for blockchain-enabled edge computing system

In order to meet various needs of people, different Internet of Things (IoT) devices have been developed and applied successfully in recent years. However, the consequent challenges in terms of search efficiency, reliable requirements, and resource allocation appear followed, which attract attention from both academia and industry. Facing this circumstance, it is nec-essary to establish a new scheme to realize data processing and sharing better. Therefore, a reliable and efficient system based on edge computing and blockchain is proposed in this pa -per. First, a new group-agent strategy with trust computing is designed to ensure the reliabil-ity of edge devices during interactions and improve transmission efficiency. Second, we in-troduce a stacked task sorting and ranking mechanism which improves resource allocation in each edge device. Third, this paper creates a new content model that uses Zipf distribution to predict context popularity of keywords and encrypt hot data with symmetric searchable encryption (SSE) technology. Finally, simulation results show that the proposed scheme has better computational efficiency and higher reliability compared with existing methods.& nbsp; (c) 2021 Elsevier Ltd. ABrights reserved.

Automated summary

This paper proposes a reliable and efficient system based on edge computing and blockchain, covering innovations in group-agent strategy, task sorting mechanism, and content model. Simulation results demonstrate that the proposed scheme has better computational efficiency and higher reliability compared with existing methods.