With the ever-growing complexity and dynamicity of computer systems, proactive fault
management is an effective approach to enhancing availability. Online failure prediction is …

With the prevalence of service computing and cloud computing, more and more services are
emerging on the Internet, generating huge volume of data, such as trace logs, QoS …

Surprisingly, console logs rarely help operators detect problems in large-scale datacenter
services, for they often consist of the voluminous intermixing of messages from many …

Tools to understand complex system behaviour are essential for many performance analysis
and debugging tasks, yet there are many open research problems in their development …

Monitoring and troubleshooting distributed systems is notoriously difficult; potential problems
are complex, varied, and unpredictable. The monitoring and diagnosis tools commonly used …

Modern society is increasingly moving toward complex and distributed computing systems.
The increase in scale and complexity of these systems challenges O&M teams that perform …

Microservice systems are often deployed in complex cloud-based environments and may
involve a large number of service instances being dynamically created and destroyed. It is …

We present a decision tree learning approach to diagnosing failures in large Internet sites.
We record runtime properties of each request and apply automated machine learning and …

This paper presents Canopy, Facebook's end-to-end performance tracing infrastructure.
Canopy records causally related performance data across the end-to-end execution path of …

This paper studies the use of statistical induction techniques as a basis for automated
performance diagnosis and performance management. The goal of the work is to develop …