Pengfei Chen
Orcid: 0000-0003-0972-6900Affiliations:
- Sun Yat-sen University, School of Data Science and Computer, Guangzhou, China
- Xi'an Jiaotong University, Department of Computer Science, China (PhD 2016)
According to our database1,
Pengfei Chen
authored at least 60 papers
between 2013 and 2024.
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Bibliography
2024
J. Netw. Comput. Appl., February, 2024
Graph neural network based robust anomaly detection at service level in SDN driven microservice system.
Comput. Networks, February, 2024
LogShrink: Effective Log Compression by Leveraging Commonality and Variability of Log Data.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024
2023
TraceRank: Abnormal service localization with dis-aggregated end-to-end tracing data in cloud native systems.
J. Softw. Evol. Process., October, 2023
ATConf: auto-tuning high dimensional configuration parameters for big data processing frameworks.
Clust. Comput., October, 2023
TurBO: A cost-efficient configuration-based auto-tuning approach for cluster-based big data frameworks.
J. Parallel Distributed Comput., July, 2023
A Spatiotemporal Deep Learning Approach for Unsupervised Anomaly Detection in Cloud Systems.
IEEE Trans. Neural Networks Learn. Syst., April, 2023
IEEE Trans. Serv. Comput., 2023
SwissLog: Robust Anomaly Detection and Localization for Interleaved Unstructured Logs.
IEEE Trans. Dependable Secur. Comput., 2023
LogShrink: Effective Log Compression by Leveraging Commonality and Variability of Log Data.
CoRR, 2023
HyperTuner: A Cross-Layer Multi-Objective Hyperparameter Auto-Tuning Framework for Data Analytic Services.
CoRR, 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
EFTuner: A Bi-Objective Configuration Parameter Auto-Tuning Method Towards Energy-Efficient Big Data Processing.
Proceedings of the 14th Asia-Pacific Symposium on Internetware, 2023
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
JointConf: Jointly autotuning configuration parameters for modularized graph databases.
J. Softw. Evol. Process., 2022
A Semi-Supervised VAE Based Active Anomaly Detection Framework in Multivariate Time Series for Online Systems.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
A Transferable Time Series Forecasting Service Using Deep Transformer Model for Online Systems.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022
Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022
Share or Not Share? Towards the Practicability of Deep Models for Unsupervised Anomaly Detection in Modern Online Systems.
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
DeepCAT: A Cost-Efficient Online Configuration Auto-Tuning Approach for Big Data Frameworks.
Proceedings of the 51st International Conference on Parallel Processing, 2022
Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022
2021
Function delivery network: Extending serverless computing for heterogeneous platforms.
Softw. Pract. Exp., 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
Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 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
Hdconfigor: Automatically Tuning High Dimensional Configuration Parameters for Log Search Engines.
IEEE Access, 2020
A Framework of Virtual War Room and Matrix Sketch-Based Streaming Anomaly Detection for Microservice Systems.
IEEE Access, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 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
ConfAdvisor: An Automatic Configuration Tuning Framework for NoSQL Database Benchmarking with a Black-box Approach.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2020
2019
CauseInfer: Automated End-to-End Performance Diagnosis with Hierarchical Causality Graph in Cloud Environment.
IEEE Trans. Serv. Comput., 2019
Proceedings of the 2019 IEEE International Conference on Web Services, 2019
Proceedings of the Blockchain and Trustworthy Systems - First International Conference, 2019
2018
IEEE Trans. Dependable Secur. Comput., 2018
Microscope: Pinpoint Performance Issues with Causal Graphs in Micro-service Environments.
Proceedings of the Service-Oriented Computing - 16th International Conference, 2018
Proceedings of the Service-Oriented Computing - ICSOC 2018 Workshops, 2018
2017
IEEE Trans. Emerg. Top. Comput., 2017
2016
KSII Trans. Internet Inf. Syst., 2016
Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016
2015
CoRR, 2015
Proceedings of the 12th Web Information System and Application Conference, 2015
2014
An Automatic Framework for Detecting and Characterizing Performance Degradation of Software Systems.
IEEE Trans. Reliab., 2014
InvarNet-X: A Comprehensive Invariant Based Approach for Performance Diagnosis in Big Data Platform.
Proceedings of the Big Data Benchmarks, Performance Optimization, and Emerging Hardware, 2014
CauseInfer: Automatic and distributed performance diagnosis with hierarchical causality graph in large distributed systems.
Proceedings of the 2014 IEEE Conference on Computer Communications, 2014
Proceedings of the 11th Web Information System and Application Conference, 2014
2013
Proceedings of the Seventh IEEE International Symposium on Service-Oriented System Engineering, 2013
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013