Microservice architecture is the latest trend in the design and development of software
systems based on modularization. In a microservice-based system, each microservice acts …

Microservices architecture is quickly replacing monolithic and multi-tier architectures as the
implementation choice for large-scale web applications as it allows independent …

Large-scale sensor and data acquisition systems, integrated with deep learning
methodologies, play a pivotal role in enhancing the sustainability and security of smart city …

Electricity plays a significant role in the everyday lives of people. Researchers have long
been interested in the classification problem of electric power anomaly detection. Anomaly …

In the domain of cloud computing and distributed systems, microservices architecture has
become preeminent due to its scalability and flexibility. However, the distributed nature of …

As Internet applications continue to scale up, microservice architecture has become
increasingly popular due to its flexibility and logical structure. Anomaly detection in traces …

Microservice architecture has been widely adopted in large-scale applications. However, it
also brings new challenges to ensuring reliable performance and maintenance due to the …

Microservice-based systems (MSS) may experience failures in various fault categories due
to their complex and dynamic nature. To effectively handle failures, AIOps tools utilize trace …

Protecting sensitive user data and identifying malicious behaviour in cloud environments are
significant challenges. This paper introduces a novel privacy-preserving broad learning …

Microservice architecture has rapidly gained popularity for building large-scale latency-
sensitive online applications. The architecture supports decomposing an application into a …