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 …

Anomaly detection and resolution are crucial in edge clouds to ensure that distributed
systems operate reliably and securely. This survey presents a comprehensive overview of …

Nowadays, the large online systems are constructed on the basis of microservice
architecture. A failure in this architecture may cause a series of failures due to the fault …

The Cloud system shows its growing functionalities in various industrial applications. The
safety towards data transfer seems to be a threat where Network Intrusion Detection System …

Network traffic analysis is one of the most important tasks in the era of on-demand Cloud
Computing. However, increased resilience on computing needs, migration flexibility, and …

In cloud computing, it is desirable if suspicious activities can be detected by automatic
anomaly detection systems. Although anomaly detection has been investigated in the past, it …

Compared with other anomaly detection methods, the traditional isolation forest algorithm
improves the execution efficiency, but it still is time-consuming. Thus, an improved isolation …

Distributed applications running inside cloud are prone to performance anomalies due to
various reasons such as insufficient resource allocations, unexpected workload increases …

The world of the Internet and networking is exposed to many cyber-attacks and threats. Over
the years, machine learning models have progressed to be integrated into many scenarios …

Virtualized Cloud platforms have become increasingly common and the number of online
services hosted on these platforms is also increasing rapidly. A key problem faced by …