Achieving low latency in public edges by hiding workloads mutual interference
Weiwei Jia, Jiyuan Zhang, Jianchen Shan, Jing Li, Xiaoning Ding · 2022
On multi-tenant platforms, such as public clouds and edges, workloads interfere with each other through shared resources. The performance degradation caused by such interference is a notoriously challenging problem. Though many solutions have been proposed for clouds, they can hardly help the application in edges, where workloads are mostly latency-critical, highly dynamic, and more sensitive to interference. Aggressive resource over-provisioning looks to be the only practical solution, albeit it causes significant resource waste.