期刊
IEEE NETWORK
卷 33, 期 5, 页码 12-19出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MNET.001.1800526
关键词
Blockchain; 5G mobile communication; Artificial intelligence; Edge computing; Job shop scheduling; Internet of Things; Cloud computing
类别
资金
- fundamental research funds for the central universities, China [2672018ZYGX2018J001]
- Xi'an Key Laboratory of Mobile Edge Computing and Security [201805052-ZD3CG36]
- key research and development plan of Shaanxi province [2017ZDCXL-GY-05-01]
- Science and Technology Program of Sichuan Province [2019YFH0007]
- European Unions Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant [824019]
Edge intelligence is a key enabler for IIoT as it offers smart cloud services in close proximity to the production environment with low latency and less cost. The need for ubiquitous communication, computing, and caching resources in 5G beyond will lead to a growing demand to integrate heterogeneous resources into the edge network. Furthermore, distributed edge services can make resource transactions vulnerable to malicious nodes. Ensuring secure edge services under complex industrial networks is a big challenge. In this article, we present an edge intelligence and blockchain empowered IIoT framework, which achieves flexible and secure edge service management. Then we propose a cross-domain sharing inspired edge resource scheduling scheme and design a credit-differentiated edge transaction approval mechanism. Numerical results indicate that the proposed schemes bring significant improvement in both edge service cost and service capacities.
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