Computing Resources Sharing Network In Urban Rail Transit: System Architecture and Incentive Mechanism Design

【Author】 Zhang, MeiXin; Hua, GaoFeng; Liang, Hao

【Source】2022 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC)

【影响因子】

【Abstract】Edge computing has recently emerged as a novel computing paradigm that offers low-latency computing services in urban rail transit systems. Suffering from constrained computing resources due to their limited physical sizes, edge servers cannot always handle all the incoming computation tasks timely when they operate independently. They often need to cooperate through peer-offloading.However, Deployed and managed by different operation department, edge servers operate in a distrusted environment. To realize safe and reliable computing resource sharing in urban rail transit systems, we propose a blockchain-based computing resource sharing architecture. Blockchain provides audit and check function to guarantee computing resource sharing security[1]. We explore the data share incentive mechanism impact on share willingness of edge servers. An evolutionary game model is formulated for the edge servers with limited rationality to adapt their sharing strategies aiming to maximize their individual utility. Extensive experiments are conducted and illustrated that edge servers of different department can share their computing resource efficiently and safely in our proposed sharing system. Our proposed evolutionary game model can determine the most effective resource share incentive mechanism.

【Keywords】

【发表时间】2022

【收录时间】2023-05-06

【文献类型】理论模型

【主题类别】

区块链技术-协同技术-边缘计算