With the elevation of terminal devices, network traffic has also grown with rapid speed. To relieve cloud computing constraints on timely delivery, energy consumption, and congestion, fog computing is introduced to provide proximate and spot-on services to network devices. In fog environment, resource-deprived user nodes can offload their multi-task to network periphery situated fog nodes. However, due to the decentralized and untrusted behavior of fog nodes; trade, and pricing related sensitive information can be tampered by an unauthorized entity for their benefits. In this paper, we design a joint resource allocation and pricing scheme using blockchain employed smart contract. Blockchain is used to overcome untrusted behavior by preventing the malicious node from tampering with trade information. However, a smart contract employed fair and secure payment among user nodes and fog nodes. Particularly, we propose descending combinatorial auction-based dynamic pricing schemes, in which any user node can request bundle of resources and fog nodes compete with each other to serve their request. Experimental results show that the proposed pricing scheme helps fog nodes to earn significant profit by providing their resource efficiently.

随着终端设备的增加，网络流量也以迅猛的速度增长。为了减轻云计算在及时交付，能耗和拥塞方面的限制，引入了雾计算以向网络设备提供近距离的服务。在雾环境中，资源匮乏的用户节点可以将其多任务卸载到位于网络外围的雾节点。但是，由于雾节点的分散和不受信任的行为；与贸易和定价相关的敏感信息可能会被未经授权的实体篡改以获取其利益。在本文中，我们设计了使用智能合约的区块链联合资源分配和定价方案。区块链用于通过防止恶意节点篡改贸易信息来克服不信任行为。然而，智能合约在用户节点和雾节点之间采用公平，安全的支付方式。特别是，我们提出了基于组合拍卖的降序动态定价方案，其中任何用户节点都可以请求资源束，而雾节点彼此竞争以服务于他们的请求。实验结果表明，所提出的定价方案可以有效地提供雾节点，从而帮助雾节点获得可观的利润。