Anomaly detection is a critical task for maintaining the performance of a cloud system. Using
data-driven methods to address this issue is the mainstream in recent years. However, due …

Enforcing a variety of security measures (such as intrusion detection systems, and so on)
can provide a certain level of protection to computer networks. However, such security …

Modern applications especially cloud-based or cloud-centric applications always have many
components running in the large distributed environment with complex interactions. They …

For many applications, the data of interest can be best thought of as events—entities that
occur at a particular moment in time, have features and may in turn trigger the occurrence of …

Detecting runtime anomalies is very important to monitoring and maintenance of distributed
services. People often use execution logs for troubleshooting and problem diagnosis …

Cloud service providers improve resource utilization by co-locating latency-critical (LC)
workloads with best-effort batch (BE) jobs in datacenters. However, they usually treat an LC …

Enterprise and data center networks consist of a large number of complex networked
applications and services that depend upon each other. For this reason, they are difficult to …

Modern computing systems especially cloud-based and cloud-centric systems always
consist of a mass of components running in large distributed environments with complicated …

Dependencies among system components are crucial to locating root errors in a distributed
system. In this paper, we propose an approach to mine intercomponent dependencies from …

Since multicore systems offer greater performance via parallelism, future computing is
progressing towards use of multicore machines with large number of cores. However, the …