陳鵬飛(中山大學數據科學與計算機學院副教授)

陳鵬飛，男，博士，中山大學數據科學與計算機學院副教授。2016年6月於西安交通大學計算機科學與技術系獲博士學位。2012年7月－2012年11月作為“明日之星”在微軟亞洲研究工作實習，2016年6月－2018年1月在IBM中國研究員雲計算部門擔任研究員，2017年2月－2017年4月作為訪問研究員在IBM T.J. Watson研究中心工作。近年來在國際會議和期刊共發表40餘篇論文，其中SCI論文6篇，中科院一區及CCF A類會議和期刊論文5篇，同時擔任多個國際期刊和會議的審稿人。

基本介紹

• 中文名：陳鵬飛
• 畢業院校：西安交通大學
• 學位/學歷：博士
• 專業方向：分散式、雲計算、大數據、智慧型運維、區塊鏈
• 任職院校：中山大學

研究領域

分散式、雲計算、大數據、智慧型運維、區塊鏈

人物經歷

教育背景

2009.9-2016.6，西安交通大學計算機科學與技術系，博士

2005.9-2009.6，西安交通大學計算機科學與技術系，本科

工作經歷

2018.1至今，中山大學數據科學與計算機學院，“百人計畫”副教授，博士生導師

2016.6-2018.1，IBM中國研究院，研究員

海外經歷

2017.2-2017.4，背戲民IBM T.J. Watson研究中心，訪問研究員

科研項目

1. “面向雲原生系統的性能異常檢測與定位方法研究"，廣東省自然科學基金-面上項求少體目（項目編號2019A1515012229），10萬，2019.10 ~ 2022.10， 主持。

2. “面向容器化微服務架構的軟體性能診斷研究"，國家自然基金青年項目（項目編號61802448），27萬，2019.01 ~ 2021.12， 主持。

3. “面向雲原生系統端到端性能問題定位與恢複方法研究"，廣州市基礎與套用基礎研究項目，20萬，2020.4 ~ 2022.3， 主持。

4. “基於大數據的地方金融安全智慧型預警與防控系統”，國家自然科學委陵閥判員會（NSFC）-廣東省人民政府大數據科學旋熱求研究中心項目，123萬，2019.01~2022.12， 課題骨幹。

5. “網路環境中軟體老化模式及再生技堡拔局滲術研究”，國家自然科學基金重點項目（項目編號60933003），300萬，2010.1至2013.12，項目骨幹。

6. “雲計算環境下數據中心的power capping關鍵問題研究”,國家自然基金面上項目(項目編號61272460),81萬，2013.1至2019.12，課題參與人。

7. “多套用負戶院載性能幹擾預測與隔離相關問題研究”，國家自然基金面上項目（項目編號61672421），63萬，2016.1至 2019.12，課題參與人。

8.“工商銀行PaaS雲支撐項目”，工商銀行與IBM簽訂的商業合作項目，2017.03至2018.01，560萬，子項目負責人。

學術兼職

審稿人：軟體付淋拔付學報、IEEE Transactions on Cybernetics, Information Science, Neurocomputing, Soft Computing, etc.

教授課程

並行與分散式計算 (本科)

分散式系統（本科）

代表論著

1.期刊論文：

• Pengfei Chen, Yong Qi, Xinyi Li, Di Hou Michael Lyu, ARF-Predictor: Effective Prediction of Aging-Related Failure Using Entropy[J]. IEEE Transactions on Dependable and Secure Computing (IEEE TDSC, CCF A, 中科院二區，SCI Index), pp:1-19, 2016 (published online, DOI: 10.1109/TDSC.2016.2604381).
  
• Pengfei Chen, Yong Qi, Di Hou, CauseInfer: Automated End-to-End Performance Diagnosis with Hierarchical Causality Graph in Cloud Environement[J]. IEEE Transactions on Service Computing (IEEE TSC, CCF B, 中科院一區，SCI index), pp:1-17, 2016 (published online, DOI: 10.1109/TSC.2016.2607739)
  
• Pengfei Chen, Yong Qi, Di Hou，InvarNet-X: A Black-box Invariant-based Approach to Diagnosing Big Data Systems[J]. IEEE Transactions on Emerging Topics in Computing (TETC), 5(4)，pp:450-465, 2017, DOI: 10.1109/TETC.2015.2497143.
  
• Pengfei Zheng, Yong Qi, Yangfan Zhou,Pengfei Chen, Jianfeng Zhan, Michael Rung-Tsong Lyu，An Automatic Publications Framework for Detecting and Characterizing Performance Degradation and Characterizing Performance Degradation of Software Systems, IEEE Transactions on Reliability(IEEE TR, SCI Index), 2014, 63(4): 927-943.
  
• Xinyi Li, Yong Qi,Pengfei Chen, et al. A cost-effective strategy for Cloud system maintenance[J]. Computers & Electronics Engineering (CCF B, SCI Index), vol. 58, pp:176-189, 2016.
  
• 陳鵬飛，李昕怡，齊勇*，張小輝，單步啟發式策略的備份虛擬機復用策略[J]. 西安交通大學學報，2016, 50(1):100-107, EI 索引，DOI: 10.7652/xjtuxb201601016.
  

2.會議論文

• Bin Yan (student),Pengfei Chen*，et,al.,Nebula: A Blockchain based Decentralized Sharing Computing Platform, IEEE BlockSys 2019, to appear.
  
• Guangba Yu (student),Pengfei Chen*, Zibin Zheng,Microscaler: Automatic Scaling for Microservices with an Online Learning Approach, IEEE ICWS 2019 (CCF B類會議).
  
• Weiming Liao (student),Pengfei Chen*,Characterization and Prediction of Deep Learning Workload on GPUs, HPC China 2019, Best Paper Candidate (最佳論文候選者).
  
• Jinjin Lin (student),Pengfei Chen*, Zibin Zheng, Microscope: Pinpoint the Abnormal Services with Causal Graphs in Micro-service Environments， IEEE ICSOC 2018 (CCF B類論文).
  
• Pengfei Chen, Yong Qi, Pengfei Zheng, Di Hou,CauseInfer: Automatic and distributed performance diagnosis with hierarchical causality graph in large distributed systems[C]. Proceedings of the 33rd Annual IEEE International Conference on Computer Communications (INFOCOM'14) (CCF A), April 27th，May 2nd, 2014, Toronto, Canada, 2014:1887-1895. (EI: 20143017978534).
  
• Pengfei Chen, Yong Qi*, Xinyi Li, Li Su, An ensemble MIC-based approach for performance diagnosis in big data platform[C]. Proceedings of the IEEE International Conference on Big Data (IEEE BigData), October 6-9, Santa Clara, USA, 2013:78-85. (EI: 20140717300259).
  
• Tong Jia,Pengfei Chen*, Lin Yang Ying Li,Fanjing Meng,Jingmin Xu. An Approach for Anomaly Diagnosis Based on Hybrid Graph Model with Logs for Distributed Services[C] IEEE International Conference on Web Services(IEEE ICWS CCF B). IEEE, 2017:25-32, Hawaii, USA.
  
• Tong Jia, Lin Yang*,Pengfei Chen, Ying Li, Fanjing Meng, Jingmin Xu. LogSed: Anomaly Diagnosis through Mining Time-Weighted Control Flow Graph in Logs[C]. IEEE, International Conference on Cloud Computing. (IEEE Cloud), 2017:447-455, Hawaii, USA.
  
• Hong Kou andPengfei Chen*, An Ensemble Signature-based Approach for Performance Diagnosis in Big Data Platform[C]. Proceedings of the International Symposium on Service-Oriented System Engineering (IEEE SOSE 2018), March 26 - 29, 2018. Bamberg, Germany, to appear（全文錄用）.
  
• Ping Wang, Jingmin Xu, Meng Ma,Pengfei Chenand Yuan Wang, et al. CloudRanger: Root Cause Identification for Cloud Native Systems[C]. Proceedings oftheInternational Symposium on Cluster, Cloud and Grid Computing(CCGRID 2018), May 1-4, 2018, to appear, Washington DC, USA. (核心貢獻作者)
  

教授課程

並行與分散式計算 (本科)

分散式系統（本科）

代表論著

1.期刊論文：

• Pengfei Chen, Yong Qi, Xinyi Li, Di Hou Michael Lyu, ARF-Predictor: Effective Prediction of Aging-Related Failure Using Entropy[J]. IEEE Transactions on Dependable and Secure Computing (IEEE TDSC, CCF A, 中科院二區，SCI Index), pp:1-19, 2016 (published online, DOI: 10.1109/TDSC.2016.2604381).
  
• Pengfei Chen, Yong Qi, Di Hou, CauseInfer: Automated End-to-End Performance Diagnosis with Hierarchical Causality Graph in Cloud Environement[J]. IEEE Transactions on Service Computing (IEEE TSC, CCF B, 中科院一區，SCI index), pp:1-17, 2016 (published online, DOI: 10.1109/TSC.2016.2607739)
  
• Pengfei Chen, Yong Qi, Di Hou，InvarNet-X: A Black-box Invariant-based Approach to Diagnosing Big Data Systems[J]. IEEE Transactions on Emerging Topics in Computing (TETC), 5(4)，pp:450-465, 2017, DOI: 10.1109/TETC.2015.2497143.
  
• Pengfei Zheng, Yong Qi, Yangfan Zhou,Pengfei Chen, Jianfeng Zhan, Michael Rung-Tsong Lyu，An Automatic Publications Framework for Detecting and Characterizing Performance Degradation and Characterizing Performance Degradation of Software Systems, IEEE Transactions on Reliability(IEEE TR, SCI Index), 2014, 63(4): 927-943.
  
• Xinyi Li, Yong Qi,Pengfei Chen, et al. A cost-effective strategy for Cloud system maintenance[J]. Computers & Electronics Engineering (CCF B, SCI Index), vol. 58, pp:176-189, 2016.
  
• 陳鵬飛，李昕怡，齊勇*，張小輝，單步啟發式策略的備份虛擬機復用策略[J]. 西安交通大學學報，2016, 50(1):100-107, EI 索引，DOI: 10.7652/xjtuxb201601016.
  

2.會議論文

• Bin Yan (student),Pengfei Chen*，et,al.,Nebula: A Blockchain based Decentralized Sharing Computing Platform, IEEE BlockSys 2019, to appear.
  
• Guangba Yu (student),Pengfei Chen*, Zibin Zheng,Microscaler: Automatic Scaling for Microservices with an Online Learning Approach, IEEE ICWS 2019 (CCF B類會議).
  
• Weiming Liao (student),Pengfei Chen*,Characterization and Prediction of Deep Learning Workload on GPUs, HPC China 2019, Best Paper Candidate (最佳論文候選者).
  
• Jinjin Lin (student),Pengfei Chen*, Zibin Zheng, Microscope: Pinpoint the Abnormal Services with Causal Graphs in Micro-service Environments， IEEE ICSOC 2018 (CCF B類論文).
  
• Pengfei Chen, Yong Qi, Pengfei Zheng, Di Hou,CauseInfer: Automatic and distributed performance diagnosis with hierarchical causality graph in large distributed systems[C]. Proceedings of the 33rd Annual IEEE International Conference on Computer Communications (INFOCOM'14) (CCF A), April 27th，May 2nd, 2014, Toronto, Canada, 2014:1887-1895. (EI: 20143017978534).
  
• Pengfei Chen, Yong Qi*, Xinyi Li, Li Su, An ensemble MIC-based approach for performance diagnosis in big data platform[C]. Proceedings of the IEEE International Conference on Big Data (IEEE BigData), October 6-9, Santa Clara, USA, 2013:78-85. (EI: 20140717300259).
  
• Tong Jia,Pengfei Chen*, Lin Yang Ying Li,Fanjing Meng,Jingmin Xu. An Approach for Anomaly Diagnosis Based on Hybrid Graph Model with Logs for Distributed Services[C] IEEE International Conference on Web Services(IEEE ICWS CCF B). IEEE, 2017:25-32, Hawaii, USA.
  
• Tong Jia, Lin Yang*,Pengfei Chen, Ying Li, Fanjing Meng, Jingmin Xu. LogSed: Anomaly Diagnosis through Mining Time-Weighted Control Flow Graph in Logs[C]. IEEE, International Conference on Cloud Computing. (IEEE Cloud), 2017:447-455, Hawaii, USA.
  
• Hong Kou andPengfei Chen*, An Ensemble Signature-based Approach for Performance Diagnosis in Big Data Platform[C]. Proceedings of the International Symposium on Service-Oriented System Engineering (IEEE SOSE 2018), March 26 - 29, 2018. Bamberg, Germany, to appear（全文錄用）.
  
• Ping Wang, Jingmin Xu, Meng Ma,Pengfei Chenand Yuan Wang, et al. CloudRanger: Root Cause Identification for Cloud Native Systems[C]. Proceedings oftheInternational Symposium on Cluster, Cloud and Grid Computing(CCGRID 2018), May 1-4, 2018, to appear, Washington DC, USA. (核心貢獻作者)