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Pengfei Chen
Pengfei Chen
Sun Yat-sen University, Associated Professor
Verified email at stu.xjtu.edu.cn
Title
Cited by
Cited by
Year
Causeinfer: Automatic and distributed performance diagnosis with hierarchical causality graph in large distributed systems
P Chen, Y Qi, P Zheng, D Hou
IEEE INFOCOM 2014-IEEE Conference on Computer Communications, 1887-1895, 2014
702014
Microscope: Pinpoint performance issues with causal graphs in micro-service environments
JJ Lin, P Chen, Z Zheng
International Conference on Service-Oriented Computing, 3-20, 2018
642018
Cloudranger: Root cause identification for cloud native systems
P Wang, J Xu, M Ma, W Lin, D Pan, Y Wang, P Chen
2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2018
562018
An approach for anomaly diagnosis based on hybrid graph model with logs for distributed services
T Jia, P Chen, L Yang, Y Li, F Meng, J Xu
2017 IEEE international conference on web services (ICWS), 25-32, 2017
492017
Logsed: Anomaly diagnosis through mining time-weighted control flow graph in logs
T Jia, L Yang, P Chen, Y Li, F Meng, J Xu
2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 447-455, 2017
432017
An automatic framework for detecting and characterizing performance degradation of software systems
P Zheng, Y Qi, Y Zhou, P Chen, J Zhan, MRT Lyu
IEEE Transactions on Reliability 63 (4), 927-943, 2014
412014
Microscaler: Automatic scaling for microservices with an online learning approach
G Yu, P Chen, Z Zheng
2019 IEEE International Conference on Web Services (ICWS), 68-75, 2019
302019
Automap: Diagnose your microservice-based web applications automatically
M Ma, J Xu, Y Wang, P Chen, Z Zhang, P Wang
Proceedings of The Web Conference 2020, 246-258, 2020
282020
Taskinsight: A fine-grained performance anomaly detection and problem locating system
X Zhang, F Meng, P Chen, J Xu
2016 IEEE 9th International Conference on Cloud Computing (CLOUD), 917-920, 2016
282016
CauseInfer: Automated End-to-End Performance Diagnosis with Hierarchical Causality Graph in Cloud Environment
P Chen, Y Qi, D Hou
IEEE transactions on services computing 12 (2), 214-230, 2016
252016
ARF-predictor: Effective prediction of aging-related failure using entropy
P Chen, Y Qi, X Li, D Hou, MRT Lyu
IEEE Transactions on Dependable and Secure Computing 15 (4), 675-693, 2016
212016
Function delivery network: Extending serverless computing for heterogeneous platforms
A Jindal, M Gerndt, M Chadha, V Podolskiy, P Chen
Software: Practice and Experience 51 (9), 1936-1963, 2021
192021
Swisslog: Robust and unified deep learning based log anomaly detection for diverse faults
X Li, P Chen, L Jing, Z He, G Yu
2020 IEEE 31st International Symposium on Software Reliability Engineering …, 2020
192020
Microscaler: Cost-effective scaling for microservice applications in the cloud with an online learning approach
G Yu, P Chen, Z Zheng
IEEE Transactions on Cloud Computing, 2020
162020
Logdc: Problem diagnosis for declartively-deployed cloud applications with log
J Xu, P Chen, L Yang, F Meng, P Wang
2017 IEEE 14th International Conference on e-Business Engineering (ICEBE …, 2017
152017
A spatiotemporal deep learning approach for unsupervised anomaly detection in cloud systems
Z He, P Chen, X Li, Y Wang, G Yu, C Chen, X Li, Z Zheng
IEEE Transactions on Neural Networks and Learning Systems, 2020
142020
An ensemble MIC-based approach for performance diagnosis in big data platform
P Chen, Y Qi, X Li, L Su
2013 IEEE International Conference on Big Data, 78-85, 2013
142013
A framework of virtual war room and matrix sketch-based streaming anomaly detection for microservice systems
H Chen, P Chen, G Yu
IEEE Access 8, 43413-43426, 2020
132020
Lightweight and adaptive service api performance monitoring in highly dynamic cloud environment
J Xu, Y Wang, P Chen, P Wang
2017 IEEE International Conference on Services Computing (SCC), 35-43, 2017
132017
Driftinsight: detecting anomalous behaviors in large-scale cloud platform
FJ Meng, X Zhang, P Chen, JM Xu
2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 230-237, 2017
92017
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