Peng Chen
Orcid: 0000-0001-5221-3655Affiliations:
- Xihua University, School of Computer and Software Engineering, Chengdu, China
- Sichuan University, College of Computer Science, Machine Intelligence Laboratory, Chengdu, China (PhD 2017)
According to our database1,
Peng Chen
authored at least 63 papers
between 2006 and 2024.
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Bibliography
2024
Efficiently localizing system anomalies for cloud infrastructures: a novel Dynamic Graph Transformer based Parallel Framework.
J. Cloud Comput., December, 2024
MTG_CD: Multi-scale learnable transformation graph for fault classification and diagnosis in microservices.
J. Cloud Comput., December, 2024
An effective parallel convolutional anomaly multi-classification model for fault diagnosis in microservice system.
Softw. Qual. J., September, 2024
An efficient GAN-based predictive framework for multivariate time series anomaly prediction in cloud data centers.
J. Supercomput., January, 2024
A fine-grained robust performance diagnosis framework for run-time cloud applications.
Future Gener. Comput. Syst., 2024
Autonomous selection of the fault classification models for diagnosing microservice applications.
Future Gener. Comput. Syst., 2024
Multi-task federated learning-based system anomaly detection and multi-classification for microservices architecture.
Future Gener. Comput. Syst., 2024
A Novel Redundant Service Caching and Task Offloading Method in Mobile Edge Computing.
Proceedings of the Web Services - ICWS 2024, 2024
Delay-Aware Service Caching in Edge Cloud: An Adversarial Semi-Bandits Learning-Based Approach.
Proceedings of the 17th IEEE International Conference on Cloud Computing, 2024
2023
Robust-PAC time-critical workflow offloading in edge-to-cloud continuum among heterogeneous resources.
J. Cloud Comput., December, 2023
An Efficient GAN-Based Multi-classification Approach for Financial Time Series Volatility Trend Prediction.
Int. J. Comput. Intell. Syst., December, 2023
CausalRCA: Causal inference based precise fine-grained root cause localization for microservice applications.
J. Syst. Softw., September, 2023
Identifying performance anomalies in fluctuating cloud environments: A robust correlative-GNN-based explainable approach.
Future Gener. Comput. Syst., August, 2023
Robust and accurate performance anomaly detection and prediction for cloud applications: a novel ensemble learning-based framework.
J. Cloud Comput., 2023
Robustness challenges in Reinforcement Learning based time-critical cloud resource scheduling: A Meta-Learning based solution.
Future Gener. Comput. Syst., 2023
An Effective Dynamic Cost-Sensitive Weighting Based Anomaly Multi-classification Model for Imbalanced Multivariate Time Series.
Proceedings of the Web Information Systems Engineering - WISE 2023, 2023
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
Proceedings of the IEEE INFOCOM 2023, 2023
A Multi-Armed Bandits Learning-Based Approach to Service Caching in Edge Computing Environment.
Proceedings of the Web Services - ICWS 2023, 2023
A Novel Semi-supervised IoT Time Series Anomaly Detection Model Using Graph Structure Learning.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2023
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2023
DGFormer: An Effective Dynamic Graph Transformer Based Anomaly Detection Model for IoT Time Series.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2023
Efficiently Detecting Anomalies in IoT: A Novel Multi-Task Federated Learning Method.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2023
M-MNFT: A Novel Modified (m, n)-Fault Tolerance Approach for Service Migration in Vehicular Edge Computing.
Proceedings of the IEEE International Conference on Software Services Engineering, 2023
2022
Task offloading in hybrid-decision-based multi-cloud computing network: a cooperative multi-agent deep reinforcement learning.
J. Cloud Comput., 2022
An efficient isomorphic CNN-based prediction and decision framework for financial time series.
Intell. Data Anal., 2022
An improved quantile-point-based evolutionary segmentation representation method of financial time series.
Int. Arab J. Inf. Technol., 2022
CoRR, 2022
Effectively Detecting Operational Anomalies In Large-Scale IoT Data Infrastructures By Using A GAN-Based Predictive Model.
Comput. J., 2022
Proceedings of the 15th IEEE/ACM International Conference on Utility and Cloud Computing, 2022
A Novel BNN-based Probabilistic Prediction Model for Non-linear and Non-stationary Time Series.
Proceedings of the 4th International Conference on Robotics, 2022
Towards an Improved Bi-GAN-Based End-to-End One-Class Classifier for Anomaly Detection in Cloud Data-Centers.
Proceedings of the Web Services - ICWS 2022, 2022
Proceedings of the Web Services - ICWS 2022, 2022
A Decentralized Service Control Framework for Decentralized Applications in Cloud Environments.
Proceedings of the Service-Oriented and Cloud Computing, 2022
A Novel Unsupervised Anomaly Detection Approach Using Neural Transformation in Cloud Environment.
Proceedings of the Cloud Computing - CLOUD 2022, 2022
MRoCO: A Novel Approach to Structured Application Scheduling with a Hybrid Vehicular Cloud-Edge Environment.
Proceedings of the IEEE International Conference on Services Computing, 2022
Proceedings of the IEEE 15th International Conference on Cloud Computing, 2022
2021
A Novel Reinforcement-Learning-Based Approach to Workflow Scheduling Upon Infrastructure-as-a-Service Clouds.
Int. J. Web Serv. Res., 2021
A Novel Approach to Applications Deployment with Multiple Interdenpendent Tasks in a Hybrid Three-Layer Vehicular Computing Environment.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
A Novel Predictive Approach to Trajectory-aware Online Service Allocation in Mobile Edge Environment.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Proceedings of the Web Services - ICWS 2021, 2021
A Novel Fault-Tolerant Approach to Web Service Composition upon the Edge Computing Environment.
Proceedings of the Web Services - ICWS 2021, 2021
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2021
Towards A Robust Meta-Reinforcement Learning-Based Scheduling Framework for Time Critical Tasks in Cloud Environments.
Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021
2020
A Novel Coevolutionary Approach to Reliability Guaranteed Multi-Workflow Scheduling upon Edge Computing Infrastructures.
Secur. Commun. Networks, 2020
A Novel Approach to Scheduling Workflows Upon Cloud Resources with Fluctuating Performance.
Mob. Networks Appl., 2020
A Stochastic-Performance-Distribution-Based Approach to Cloud Workflow Scheduling with Fluctuating Performance.
Proceedings of the Web Services - ICWS 2020, 2020
Scheduling Multi-workflows over Edge Computing Resources with Time-Varying Performance, A Novel Probability-Mass Function and DQN-Based Approach.
Proceedings of the Web Services - ICWS 2020, 2020
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020
2019
A Novel Dynamic Network Pruning via Smooth Initialization and its Potential Applications in Machine Learning Based Security Solutions.
IEEE Access, 2019
Multi-Objective Workflow Scheduling With Deep-Q-Network-Based Multi-Agent Reinforcement Learning.
IEEE Access, 2019
An Improved Minor Component Analysis Algorithm Based on Convergence Analysis of 5G Multi-Dimensional Signals.
IEEE Access, 2019
Mobility-Aware and Migration-Enabled Online Edge User Allocation in Mobile Edge Computing.
Proceedings of the 2019 IEEE International Conference on Web Services, 2019
A Novel Approach to Cost-Efficient Scheduling of Multi-workflows in the Edge Computing Environment with the Proximity Constraint.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2019
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2019
2017
IEEE Trans. Neural Networks Learn. Syst., 2017
IEEE Access, 2017
Percentile performance analysis of infrastructure-as-a-service clouds with task retrials.
Proceedings of the 14th IEEE International Conference on Networking, Sensing and Control, 2017
2015
Concurr. Comput. Pract. Exp., 2015
2008
Proceedings of the Fourth International Conference on Natural Computation, 2008
2007
J. Univers. Comput. Sci., 2007
Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007
2006
An Efficient Algorithm for Distributed Incremental Updating of Frequent Item-Sets on Massive Database.
Proceedings of the Web Information Systems - WISE 2006 Workshops, 2006