Ensuring the reliability and availability of cloud services necessitates efficient root cause
analysis (RCA) for cloud incidents. Traditional RCA methods, which rely on manual …

Traffic optimizations (TO, eg flow scheduling, load balancing) in datacenters are difficult
online decision-making problems. Previously, they are done with heuristics relying on …

Network performance monitoring today is restricted by existing switch support for
measurement, forcing operators to rely heavily on endpoints with poor visibility into the …

Network Traffic Monitoring and Analysis (NTMA) represents a key component for network
management, especially to guarantee the correct operation of large-scale networks such as …

Network performance anomalies (NPAs), eg long-tailed latency, bandwidth decline, etc., are
increasingly crucial to cloud providers as applications are getting more sensitive to …

Data center network (DCN) is the backbone of many emerging applications from smart
connected homes to smart traffic control and is continuously evolving to meet the diverse …

With the growing market of cloud databases, careful detection and elimination of slow
queries are of great importance to service stability. Previous studies focus on optimizing the …

This paper presents the two generations of storage network stacks that reduced the average
I/O latency of Alibaba Cloud's EBS service by 72% in the last five years: Luna, a user-space …

The availability of data center services is jeopardized by various network incidents. One of
the biggest challenges for network incident handling is to accurately localize the failures …

When classifying network traffic, a key challenge is deciding when to perform the
classification, ie, after how many packets. Too early, and the decision basis is too thin to …