The advancement of information and telecommunication technology has resulted in lots of computing power service providers (CSPs) sharing resources. This effectively improves the utilization of computing resources and provides opportunities for users to find best network services. However, with the increase of similar or identical services, traditional service provision mechanisms become more complicated and face more challenges. To provide on-demand services for users and trusted service sharing platform for CSPs, we propose a blockchain-based distributed network service provision (DNSP) mechanism. Based on blockchain technology, we design a distributed network service (BBDNS) architecture and introduce trusted QoS model for users and profit model for CSPs. Meanwhile, we develop a bi-objective optimization problem, called BP-MATCH, to balance benefits between users and CSPs. Then, we define DNSP mechanism based on smart contracts. Furthermore, to solve BP-MATCH, we design Kuhn-Munkres based service matching algorithm (KM-SMA) and ant colony optimization-based service matching algorithm (ACO-SMA). Finally, we conduct a simulation experiment based on the generated dataset. Simulation results show that the proposed algorithm can obtain the optimal service matching decision under certain conditions, and DNSP mechanism can guarantee the efficiency of service decisions while providing trusted distributed service.

Sixth generation (6G) is committed to providing a fully connected world. The deployment and application of the 6G technology in the Internet of Things (IoT) can efficiently collaborate IoT resources and realize resource sharing, which mainly encourages IoT development. However, due to the lack of trust between IoT resources, security and privacy become the main challenges. As an emerging technology, blockchain can solve the trust-absence issues and provide more benefits, but the introduction of blockchain also brings problems for IoT resource collaboration and sharing. This article first proposes a blockchain-enabled edge resource-sharing (BEERS) architecture by combining blockchain and edge computing technology. Then based on a typical resource sharing and collaboration scenario, the joint optimization problem of resource scheduling and task assignment (JRSTA) is constructed. We decompose JRSTA into a primal problem and a master problem and design a greedy-based task assignment (GBTA) algorithm to solve the primal problem. Based on the GBTA algorithm, the resource scheduling and task assignment (RSTA) algorithm is developed. Next, we design a layered parallel edge RSTA (LPRSTA) mechanism to improve practicability. Finally, we analyze the security and the performance of our proposed architecture and algorithms. The results show that the proposed architecture can support the secure collaboration of IoT resources, and the proposed algorithm can achieve effective JRSTA.