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…

Non-Disclosing Credential On-chaining for Blockchain-based Decentralized Applications

A conflict of privacy and transparency requirements can be observed in many service systems that rely on verifiable identity-related information of their users. Such information is often required by services, for example, for access control purposes or to meet know-your-customer (KYC) obligations that providers have under anti-money laundering and counter-terrorism Read more…

Control-Flow-Based Querying of Process Executions from Partially Ordered Event Data

https://www.youtube.com/embed/1mgnpZLpZ8EProcess Mining deals with the analysis of event data that are generated during the execution of business processes. Event data contain numerous recorded individual process executions. Each process execution contains executed process activities and their temporal information, e.g., when activities for a given process execution are being conducted. We often Read more…