Combinatorial Double Auction on Cloud Platform Considering User Budget and Logistics Cost

This paper primarily investigates the resource allocation problem in cloud manufacturing. Unlike other research institutes, the resources considered in this research are entity manufacturing resources, which possess a regional nature. In order to approach real-world scenarios, this study takes into account the budget constraints of buyers and examines the manufacturing combinations of buyers under these constraints. The paper models the allocation process of physical resources in cloud manufacturing through a bilateral combinatorial auction and establishes a combinatorial double auction mechanism that takes into consideration both budget constraints and logistics costs. Experimental results confirm that the matching success rate of the proposed scheme remains stable at over 60%, demonstrating its feasibility. Moreover, with the increase of cloud platform users, the stability and transaction rate of the mechanism also exhibit a corresponding increase.