Profit-aware Edge Server Placement based on All-pay Auction for Edge Offloading
Hai Xue, Yunxia Xia · 2024
Mobile edge computing is a promising computing paradigm to enhance Quality of Service (QoS) for end devices (EDs), because it sinks the resources of cloud server to the network edge, which significantly mitigates the serious transmission delay to facilitate service response efficiency, and thus directly improves the QoS. However, edge servers are reluctant to offer service without satisfactory compensation. Therefore, auction-based resource pricing schemes are widely investigated to incentivize servers to serve EDs. In this work, we propose an edge server placement scheme based on all-pay auction mechanism, which determines the optimal server-user ratio to maximize service provider (SP) profit. Experimental simulations verified that the profit of SP is maximized while the server-user ratio is approximately 25%, which also provides the theoretical basis for real-world deployment.