Tango: Harmonious Management and Scheduling for Mixed Services Co-located among Distributed Edge-Clouds
Yicheng Feng, Shihao Shen, Mengwei Xu, Yuanming Ren, Xiaofei Wang, Victor C. M. Leung, Wenyu Wang · 2023
Co-locating Latency-Critical (LC) and Best-Effort (BE) services in edge-clouds is expected to enhance resource utilization. However, this mixed deployment encounters unique challenges. Edge-clouds are heterogeneous, distributed, and resource-constrained, leading to intense competition for edge resources, making it challenging to balance fluctuating co-located workloads. Previous works in cloud datacenters are no longer applicable since they do not consider the unique nature of edges. Although very few works explicitly provide specific schemes for edge workload co-location, these solutions fail to address the major challenges simultaneously.