Guangba Yu

Orcid: 0000-0001-6195-9088

According to our database1, Guangba Yu authored at least 22 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
Network shortcut in data plane of service mesh with eBPF.
J. Netw. Comput. Appl., February, 2024

2023
TraceRank: Abnormal service localization with dis-aggregated end-to-end tracing data in cloud native systems.
J. Softw. Evol. Process., October, 2023

A Spatiotemporal Deep Learning Approach for Unsupervised Anomaly Detection in Cloud Systems.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

FaaSDeliver: Cost-Efficient and QoS-Aware Function Delivery in Computing Continuum.
IEEE Trans. Serv. Comput., 2023

SwissLog: Robust Anomaly Detection and Localization for Interleaved Unstructured Logs.
IEEE Trans. Dependable Secur. Comput., 2023

Nezha: Interpretable Fine-Grained Root Causes Analysis for Microservices on Multi-modal Observability Data.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

DiagConfig: Configuration Diagnosis of Performance Violations in Configurable Software Systems.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

MARS: Fault Localization in Programmable Networking Systems with Low-cost In-Band Network Telemetry.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

LogReducer: Identify and Reduce Log Hotspots in Kernel on the Fly.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

DeepPower: Deep Reinforcement Learning based Power Management for Latency Critical Applications in Multi-core Systems.
Proceedings of the 52nd International Conference on Parallel Processing, 2023

2022
Microscaler: Cost-Effective Scaling for Microservice Applications in the Cloud With an Online Learning Approach.
IEEE Trans. Cloud Comput., 2022

Graph based Incident Extraction and Diagnosis in Large-Scale Online Systems.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Going through the Life Cycle of Faults in Clouds: Guidelines on Fault Handling.
Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022

TS-InvarNet: Anomaly Detection and Localization based on Tempo-spatial KPI Invariants in Distributed Services.
Proceedings of the IEEE International Conference on Web Services, 2022

MicroSketch: Lightweight and Adaptive Sketch Based Performance Issue Detection and Localization in Microservice Systems.
Proceedings of the Service-Oriented Computing - 20th International Conference, 2022

2021
MicroRank: End-to-End Latency Issue Localization with Extended Spectrum Analysis in Microservice Environments.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Sieve: Attention-based Sampling of End-to-End Trace Data in Distributed Microservice Systems.
Proceedings of the 2021 IEEE International Conference on Web Services, 2021

T-Rank: A Lightweight Spectrum based Fault Localization Approach for Microservice Systems.
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020
A Framework of Virtual War Room and Matrix Sketch-Based Streaming Anomaly Detection for Microservice Systems.
IEEE Access, 2020

SwissLog: Robust and Unified Deep Learning Based Log Anomaly Detection for Diverse Faults.
Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020

A Learning-based Dynamic Load Balancing Approach for Microservice Systems in Multi-cloud Environment.
Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

2019
Microscaler: Automatic Scaling for Microservices with an Online Learning Approach.
Proceedings of the 2019 IEEE International Conference on Web Services, 2019


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