Fog computing has emerged as a decentralized computing paradigm that extends cloud services to the network edge, enabling faster data processing and real-time applications. The increasing popularity of fog computing has led to the emergence of a potential market involving users and providers of fog resources. However, both parties are driven by self-interest and seek to maximize their utility, giving rise to multiple conflicts extending beyond mere price considerations. Negotiations can play a crucial role in resolving conflicts and establishing mutually beneficial service level agreements. Moreover, in the heterogeneous fog environment, quality of service attributes, such as throughput, delay, trust, power dissipation, etc., vary significantly among different user-fog associations. These attributes, although non-negotiable, hold great importance for entities and directly influence partner selection. Entities may exhibit a preference for one another based on these non-negotiable attributes. To the best of our knowledge, no existing literature specifically addresses the issue of associating with a preferred trading partner at a negotiated value for multiple issues in the fog environment. This research aims to address this gap and provide insights into this unexplored area. This work presents a novel Preference-based Muti-Issue Negotiation Algorithm, PMINA, for many to many, bilateral and concurrent negotiations in the fog environment. The results confirm the significance of PMINA, demonstrating a substantial enhancement in user and fog utilities.

雾计算已成为一种去中心化计算范式，将云服务扩展到网络边缘，从而实现更快的数据处理和实时应用程序。雾计算的日益普及导致了涉及雾资源用户和提供者的潜在市场的出现。然而，双方都出于自身利益的驱使，寻求效用最大化，从而引发了超越单纯价格考虑的多重冲突。谈判在解决冲突和建立互利的服务水平协议方面可以发挥至关重要的作用。此外，在异构雾环境中，服务质量属性，例如吞吐量、延迟、信任、功耗等，在不同的用户-雾关联之间存在显着差异。这些属性虽然不可协商，但对于实体来说非常重要，并直接影响合作伙伴的选择。实体可能会基于这些不可协商的属性而表现出对彼此的偏好。据我们所知，现有的文献还没有具体解决雾环境中的多个问题以协商价值与首选贸​​易伙伴建立联系的问题。这项研究旨在弥补这一差距，并为这一尚未探索的领域提供见解。这项工作提出了一种新颖的基于偏好的多问题协商算法 PMINA，用于雾环境中的多对多、双边和并发协商。结果证实了 PMINA 的重要性，证明了用户和雾效用的显着增强。