INS: Identifying and Mitigating Performance Interference in Clouds via Interference-Sensitive Paths
Ziwei Huang, Mengyao Xie, Shibo Tang, Zihao Chang, Zhicheng Yao, Yungang Bao, Sa Wang · 2024
Identifying and managing performance interference in clouds has long been a critical and challenging task for cloud providers. They keep seeking useful performance indicators from underlying systems to monitor cloud applications accurately. However, state-of-the-art indicators are either sensitive to limited applications and resource contention or are unrobust to the continually changing production environments. There still lacks a practical and efficient indicator for production environments.