SCORE: A Resource-Efficient Microservice Orchestration Model Based on Spectral Clustering in Edge Computing

  In recent years, with the rapid popularization of the fifth-generation mobile communication network and the continuous development of mobile Internet applications, the number of intelligent terminal devices has shown rapid growth. More and more services are sinking to the edge, which brings about the explosive growth of data volume Read more…

MicroEGRCL: An Edge-attention-based Graph Neural Network Approach for Root Cause Localization in Microservice Systems

  With the emergence of new service technologies such as RESTful and microservices, service software has evolved from a simple homogeneous system to a service ecology with open environment, cross-domain scenarios and complex business. In the microservice architecture, each functional module of the business system is split into relatively independent Read more…

BSDG: Anomaly Detection of Microservice Trace Based on Dual Graph Convolutional Neural Network

  Our research is about microservice trace anomaly detection. The following sections will summarize our research on the significance of trace anomaly detection, what trace data is, contributions, the proposed approach, experiments, summary and outlook. Significance. In recent years, microservice architecture has been rapidly developed and widely used. Still, at Read more…