The emergence of a new generation of applications such as the Internet of Things, Artificial Intelligence, and 5G has brought fog computing as cloud development toward the edge network. It is done by adding an extra layer of resources to meet low latency, high performance, mobility, and interoperability challenges. The development of fog markets and new beneficial business paradigms such as fog services considerably affect the future of fogonomics (which is defined as the economics of fog computing). Thus, it is a challenging issue to design a market-oriented model to deal with the economics-based resource management in fog computing, which adjusts the resource supply of Fog Resource Providers (FRPs) and the demands of User Services (USs) based on users’ requirements while satisfying all parties’ utilities. This paper proposes the Fog-Marketing scheme consisting of a Resource Propagation Component (RPC) and a Contract-aware Market Selection Component (CMSC) for resource provisioning in multi-tier fog computing. The RPC is deployed in each fog node to perform hierarchical resource propagation of FRPs to auction-based Fog Decentralized Markets (FDMs) close to USs to increase revenue opportunities, and embedded CMSC in the user agent applies a matching strategy to assign USs and FDMs aims to promote USs’ utility. The simulation results under extensive experiments confirmed that the proposed scheme succeeded in reducing the Round-Trip-Time, increasing the revenue of FRPs, and improving the utility of USs compared to existing models.

物联网、人工智能、5G等新一代应用的出现，使得雾计算作为云向边缘网络发展。这是通过添加额外的资源层来实现的，以满足低延迟、高性能、移动性和互操作性挑战。雾市场的发展和雾服务等新的有益商业模式在很大程度上影响着雾经济学（定义为雾计算的经济学）的未来。因此，设计一个以市场为导向的模型来处理雾计算中基于经济的资源管理是一个具有挑战性的问题，该模型根据雾计算资源提供者（FRP）的资源供应和用户服务（US）的需求来调整用户的要求，同时满足各方的公用事业。本文提出了由资源传播组件（RPC）和契约感知市场选择组件（CMSC）组成的雾营销方案，用于多层雾计算中的资源配置。 RPC部署在每个雾节点中，将FRP分层资源传播到靠近US的基于拍卖的雾去中心化市场（FDM），以增加收入机会，并且用户代理中的嵌入式CMSC应用匹配策略来分配US和FDM目标促进美国的效用。大量实验的仿真结果证实，与现有模型相比，所提出的方案成功地减少了往返时间，增加了FRP的收入，并提高了US的效用。