Identifying Performance Issues in Cloud Service Systems Based on Relational-Temporal Features

Understand

Cloud systems are susceptible to performance issues, which may cause service-level agreement violations and financial losses.

• In current practice, crucial metrics are monitored periodically to provide insight into the operational status of components.
• Identifying performance issues is often formulated as an anomaly detection problem, which is tackled by analyzing each metric independently.
• However, this approach overlooks the complex dependencies existing among cloud components.