Supporting QUIC Data Flows Over Consumer Electronic Devices: A Mobile Edge Computing-Oriented Queuing Delay Control Policy

The Quick UDP Internet Connection (QUIC) protocol has been utilized in traditional cloud computing environments. However, in consumer electronic devices under edge cloud scenarios, QUIC may struggle to take advantage of its benefits due to its unique network characteristics and resource constraints. This problem arises when the network quality fluctuates or resources are insufficient to handle incoming data, causing rapid buffer expansion, significant delays, and potential packet loss. This study proposes a queue management algorithm inspired by the classical control theory of the Proportional-Integral-Differential (PID) control, which aims to support QUIC data flows to further enhance delay control and improve goodput. The algorithm adds differential operations to the traditional PI control to predict the error trend to respond to queue changes in advance. Combining expert experience in integral separation and queue error management, it makes the control strategy more relevant to the specific needs of real application scenarios. Simulation results demonstrate that the PID-Delay algorithm achieves an average goodput improvement of 1.98 times and reduces the standard deviation by 26.1% than the classical algorithm. In comparison to other delay algorithms, it exhibits an average 1.81 times increase in goodput and an 18.5% reduction in standard deviation.