Cluster-wide task slowdown detection in cloud system

• Main Authors: CHEN, Feiyi, ZHANG, Yingying, FAN, Lunting, LIANG, Yuxuan, PANG, Guansong, WEN, Qingsong, DENG, Shuiguang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Task slowdown detection; Time series; Unsupervised anomaly detection; AIOps; Anomaly detection; Cloud computing; Slow task detection; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/9755; https://ink.library.smu.edu.sg/context/sis_research/article/10755/viewcontent/2408.04236v1.pdf
• Institution: Singapore Management University

Slow task detection is a critical problem in cloud operation and maintenance since it is highly related to user experience and can bring substantial liquidated damages. Most anomaly detection methods detect it from a single-task aspect. However, considering millions of concurrent tasks in large-scal...