AI 中文总结
针对边缘节点过载下请求质量灵活性未被充分利用的问题，提出PRICE定价激励机制，可提升边缘节点的接受吞吐量与CPU利用率，且性能鲁棒。
AI 中文摘要
边缘节点在设计上受限于容量，但许多边缘工作负载可在运行时在结果质量与资源效率间进行权衡。现有边缘定价机制大多将请求视为固定配置提交，很少在过载情况下利用单请求的质量灵活性。我们提出PRICE，一种将依赖利用率的价格信号与单请求质量选择相结合的激励机制。随着利用率上升，不断上涨的接受价格会降低资源密集型变体被选中的可能性，使已接受请求转向更轻量的执行模式，从而让节点在接近满负荷运行时能服务更多请求。在真实硬件上的持续过载评估显示，PRICE在接受吞吐量和CPU利用率方面均优于固定分配和动态定价基准。该结果在定价函数族、任务时长分布和客户端群体中均具有鲁棒性。结果质量灵活性是边缘过载管理中强大但未被充分利用的控制维度，而定价是利用该维度的有效机制。
英文摘要
Edge nodes are capacity-constrained by design, yet many edge workloads can trade result quality for resource efficiency at runtime. Existing edge pricing mechanisms largely treat requests as fixed-configuration submissions and rarely exploit per-request quality flexibility under overload. We present PRICE, an incentive mechanism that couples a utilization-dependent price signal to per-request quality selection. As utilization increases, rising acceptance prices make resource-intensive variants less likely to be selected, shifting accepted requests toward lighter execution and allowing the node to serve significantly more requests while operating near capacity. Evaluation on real hardware under sustained overload shows that PRICE outperforms both fixed-allocation and dynamic-pricing baselines in accepted throughput and CPU utilization. The results are robust across pricing function families, task-duration distributions, and client populations. Result-quality flexibility is a powerful but underused control dimension for overload management at the edge, and pricing is an effective mechanism to exploit it.
Journal ref2026 ACM/IEEE Symposium on Edge Computing (SEC)
