MECaNIC: SmartNIC to Assist URLLC Processing in Multi-Access Edge Computing Platforms

Abstract

Multi-access edge computing (MEC) providing server capabilities at near end-users is introduced to enable Ultra Reliable Low Latency Communication (URLLC) for mission-critical and time-sensitive networked services. However, the current MEC simply shortens the physical travel distance of traffic but does not include any architectural approach for supporting URLLC. As a result, MEC implicates resource contention issues, and important packets can be easily delayed or lost, resulting in critical flaws for those services. To address these problems, we introduce MECaNIC, which extends the data plane of MEC to SmartNIC and assists URLLC of MEC. It provides i) precise packet scheduling that handles traffic priorities into two dimensions of reliability and latency, and ii) task offloading that accelerates MEC applications, including payload matching and response caching. The prototype implemented using NetFPGA shows that MECaNIC reduces the average latency of the high-priority traffic from 2,823 mu s to 397 mu s while ensuring packet delivery, even when the traffic competes with other lower priority traffic. Also, task offloading improves a MEC's payload processing 4-fold and reduces file downloading time and video random access time by 44% and 17%, respectively.