FPSA-SMS: first price sealed auction-based service migration strategy in mobile edge computing

At present, the issue of service migration has been extensively researched. This is because service migration has great potential in maintaining service continuity and user’s quality of service (QoS) in fifth generation mobile networks. It has played a huge role in helping achieve these requirements. However, with the further expansion of the edge network scale, the most direct manifestation is the increase in edge nodes with computing and storage capabilities, and the resulting problem is the complexity of the decision-making process when selecting edge nodes for service migration. To solve this problem, a service migration strategy based on First Price Sealed Auction (FPSA-SMS) is proposed. It optimizes the overall benefit of the system while completing the service migration. First, a system model of combing services delay, cost and revenue measurement is formalized. Then, we transformed the system model into an auction problem in game theory, and obtain the optimal node by calculating the Bayesian Nash equilibrium solution. Finally, we conducted comparative experiments with other two algorithms and verified the effectiveness of the algorithm. The results show that our proposed FPSA-SMS migration strategy has a good performance.