Zehua Guo
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Selected publications

2022

Journal Papers

  1. [TON] Zehua Guo, Songshi Dou, Sen Liu, Wendi Feng, Wenchao Jiang, Yang Xu, and Zhi-Li Zhang, ‘‘Maintaining Control Resiliency and Flow Programmability in Software-Defined WANs During Controller Failures’’, IEEEACM Transactions on Networking, 2022, DOI: 10.1109TNET.2021.3128771. (CCF A)

  2. [TMC] Zehua Guo, Jiayu Wang, Sen Liu, Jineng Ren, Yang Xu, and Yi Wang, ‘‘SpongeTraining: Achieving High Efficiency and Accuracy for Wireless Edge-assisted Online Distributed Learning’’, IEEE Transactions on Mobile Computing, 2022, DOI: 10.1109/TMC.2022.3154644. (CCF A)

  3. [TCC] Zehua Guo, Jiayu Wang, Sen Liu, Jineng Ren, Yang Xu, and Chao Yao, ‘‘Congestion-aware Critical Gradient Scheduling for Distributed Machine Learning in Data Center Networks’’, IEEE Transactions on Cloud Computing, 2022, Accepted. (JCR Q1)

  4. [NETWORK] Zehua Guo, Hao Wang, Yi Cai, and Zhi-Li Zhang, ‘‘Analysis and Management of Network Function States", IEEE Network Magazine, 2022, Accepted. (JCR Q1)

  5. [JNCA] Haoran Ni, Zehua Guo, Changlin Li, Songshi Dou, Chao Yao, and Thar Baker, ‘‘Network Coding-based Resilient Routing for Maintaining Data Security and Availability in Software-Defined Networks’’, Journal of Network and Computer Applications, 2022, DOI: 10.1016/j.jnca.2022.103372. (JCR Q1)

  6. [TNSM] Quan Ren, Zehua Guo, Jiangxing Wu, Tao Hu, Jie Lu, Yuxiang Hu, and Lei He, ‘‘SDN-ESRC: A Secure and Resilient Control Plane for Software-Defined Networks’’, IEEE Transactions on Network and Service Management, 2022, DOI: 10.1109/TNSM.2022.3163198. (JCR Q1)

  7. [TON] Penghao Sun, Zehua Guo, Junfei Li, Yang Xu, Julong Lan, and Yuxiang Hu, ‘‘Enabling Scalable Network Routing with Deep Reinforcement Learning on Critical Nodes’’, IEEE/ACM Transactions on Networking, 2022, vol.30, no.2, pp.629-640. (CCF A).

  8. [TON] Kuan-yin Chen, Sen Liu, Yang Xu, Ishant Kumar Siddhrau, Siyu Zhou, Zehua Guo, and H. Jonathan Chao, ‘‘SDNShield: NFV-Based Defense Framework Against DDoS Attacks on SDN Control Plane", IEEE/ACM Transactions on Networking, 2022, vol.30, no.1, pp.1-17. (CCF A)

Conference/Workshop Papers

  1. [INFOCOM] Jiaxin Tang, Sen Liu, Yang Xu, Zehua Guo, Junjie Zhang, Peixuan Gao, Yang Chen, Xin Wang, and H. Jonathan Chao, ‘‘ABS: Adaptive Buffer Sizing via Augmented Programmability with Machine Learning’’, IEEE International Conference on Computer Communications 2022. (CCF A)

  2. [ICDCS] Sen Liu, Furong Liang, Wei Yan, Zehua Guo, Xiang Lin, and Yang Xu ‘‘ERA: Meeting the Fairness between Sender-driven and Receiver-driven Transmission Protocols in Data Center Networks’’, IEEE International Conference on Distributed Computing Systems 2022. (CCF B)

  3. [IPDPS] Hongyi Huang, Wenfei Wu, Yongchao He, and Zehua Guo, ‘‘SFP: Service Function Chain Provision on Programmable Switches for Cloud Tenants’’, IEEE International Parallel & Distributed Processing Symposium 2022. (CCF B)

2021

Journal Papers

  1. [TON] Zehua Guo, Yang Xu, Ya-Feng Liu, Sen Liu, H. Jonathan Chao, Zhi-Li Zhang, and Yuanqing Xia, ‘‘AggreFlow: Achieving Power Efficiency, Load Balancing, and Quality of Service in Data Center Networks’’, IEEE/ACM Transactions on Networking, 2021, vol.29, no.1, pp.17-33. (CCF A)

  2. [TCOM] Zehua Guo, Songshi Dou, Yi Wang, Sen Liu, Yang Xu, and Wendi Feng,‘‘HybridFlow: Achieving Load Balancing in Software-Defined WANs with Scalable Routing’’, IEEE Transactions on Communications, 2021, vol.8, pp.5255-5268. (CCF B)

  3. [COMNET] Penghao Sun, Zehua Guo, Julong Lan, Junfei Li, Yuxiang Hu, and Thar Baker, ‘‘ScaleDRL: A Scalable Deep Reinforcement Learning Approach for Traffic Engineering based on Link Control’’, Elsevier Computer Networks, 2021, vol.190, 107891. (CCF B)

  4. [COMNET] Songshi Dou, Guochun Miao, Zehua Guo, Chao Yao, Weiran Wu, and Yuanqing Xia, ‘‘Matchmaker: Maintaining the Quality of Service for Software-Defined WANs under Multiple Controller Failures’’, Elsevier Computer Networks, vol.192, 2021, 108045. (CCF B)

  5. [JCS] Jineng Ren, Jarvis Haupt, and Zehua Guo, ‘‘Communication-Efficient Hierarchical Distributed Optimization for Multi-Agent Policy Evaluation’’, Elsevier Journal of Computational Science, 2021, vol.25, 101280.

  6. [CL] Penghao Sun, Julong Lan, Junfei Li, Zehua Guo, and Yuxiang Hu, ‘‘Combining Deep Reinforcement Learning With Graph Neural Networks in VNF Placement’’, IEEE Communications Letters, 2021, vol.25, no.1, pp.176-180.

  7. [CL] Penghao Sun, Julong Lan, Junfei Li, Jianpeng Zhang, Yuxiang Hu, and Zehua Guo, ‘‘A Scalable Deep Reinforcement Learning Approach for Traffic Engineering based on Link Control", IEEE Communications Letters, 2021, vol.25, no.1, pp.1089-7798.

  8. [CJE] Lingshu Li, Jiangxing Wu, Hongchao Hu, Wenyan Liu, and Zehua Guo, ‘‘Secure Cloud Architecture for 5G Core Network’’, Chinese Journal of Electronics, 2021, vol.30, no.3, pp.516-522.

Conference/Workshop Papers

  1. [ICDCS] Songshi Dou, Zehua Guo, and Yuanqing Xia, ‘‘ProgrammabilityMedic: Predictable Path Programmability Recovery under Multiple Controller Failures in SD-WANs’’, IEEE International Conference on Distributed Computing Systems 2021. (CCF B)

  2. [IWQoS] Minghao Ye, Junjie Zhang, Zehua Guo, and H. Jonathan Chao, ‘‘DATE: Disturbance-Aware Traffic Engineering with Reinforcement Learning in Software-Defined Networks’’, IEEE/ACM International Symposium on Quality of Service 2021. (CCF B)

  3. [ICNP] Minghao Ye, Junjie Zhang, Zehua Guo, and H. Jonathan Chao, ‘‘Federated Traffic Engineering with Supervised Learning in Multi-region Networks’’, IEEE International Conference on Network Protocols 2021. (CCF B)

  4. [ICWS] Yijun Sun, Zehua Guo, Songshi Dou, and Yuanqing Xia, ‘‘Video Quality and Popularity-aware Video Caching in Content Delivery Networks’’, IEEE International Conference on Web Services 2021. (CCF B)

  5. [ICPP] Sen Liu, Xiang Lin, Zehua Guo, Yi Wang, Mohamed Adel Serhani, and Yang Xu,‘‘Optimizing Flow Completion Time via Traffic Pattern-aware Buffer Management in Data Center Networks’’, ACM International Conference on Parallel Processing 2021, to appaer. (CCF B)

2020

Journal Papers

  1. [JSAC] Junjie Zhang, Minghao Ye, Zehua Guo, Chen-Yu Yen, and H. Jonathan Chao, ‘‘CFR-RL: Traffic Engineering with Reinforcement Learning in SDN’’, IEEE Journal on Selected Areas in Communications, 2020, vol.38, no.10, pp.2249-2259. (CCF A)

  2. [COMNET] Penghao Sun, Zehua Guo, Sen Liu, Julong Lan, Junchao Wang, and Yuxiang Hu, ‘‘SmartFCT: Improving Power-Efficiency for Data Center Networks with Deep Reinforcement Learning’’, Elsevier Computer Networks, 2020, vol.179, 107255. (CCF B)

  3. [COMNET] Penghao Sun, Zehua Guo, Gang Wang, Julong Lan, and Yuxiang Hu, ‘‘MARVEL: Enabling Controller Load Balancing in Software-Defined Networks with Multi-Agent Reinforcement Learning’’. Elsevier Computer Networks, 2020, vol.177, 107230. (CCF B)

  4. [COMNET] Penghao Sun, Julong Lan, Junfei Li, Zehua Guo, Yuxiang Hu, and Tao Hu, ‘‘Efficient Flow Migration for NFV with Graph-aware Deep Reinforcement Learning’’, Elsevier Computer Networks, 2020, vol.183, 107575. (CCF B)

  5. [JPDC] Mohammed Al-khafajiy, Thar Baker, Muhammad Asim, Zehua Guo, Rajiv Ranjan, Antonella Longo, Deepak Puthal, and Mark Tylor, ‘‘COMITMENT: a Fog Computing Trust Management Approach’’, Elsevier Journal of Parallel and Distributed Computing, 2020, vol. 137, pp.1-16. (CCF B)

  6. [FGCS] Wendi Feng, Chuanchang Liu, Zehua Guo, Thar Baker, Gang Wang, Meng Wang, Bo Cheng, and Junliang Chen, ‘‘MobiGyges: Data Loss Prevention, Storage Utilization Improvement, and User-friendly Mobile Hidden Volume’’, Elsevier Future Generation Computer Systems, 2020, vol.109, pp.158-171. (JCR Q1)

  7. [FGCS] Yawen Wang, Yunfei Guo, Zehua Guo, Thar Baker, and Wenyan Liu, ‘‘CLOSURE: Protecting scientific workflow in clouds with the attack-defense game model-based scheduling’’, Elsevier Future Generation Computer Systems, 2020, vol.111, pp.460-474. (JCR Q1)

  8. [FGCS] Jianjian Ai, Hongchang Chen, Zehua Guo, Guozhen Cheng, and Thar Baker, ‘‘Mitigating Malicious Packet Attacks via Vulnerability-aware Heterogeneous Network Devices Assignment’’, Elsevier Future Generation Computer Systems, 2020, vol.111, pp.841-852. (JCR Q1)

  9. [FGCS] Zehua Guo, Shaojun Zhang, Wendi Feng, Weichao Wu, and Julong Lan, ‘‘Exploring the Role of Paths for Dynamic Controller Assignment in Software-Defined Networks’’, Elsevier Future Generation Computer Systems, 2020, vol.107, pp.238-246. (JCR Q1)

  10. [IET-IFS] Yawen Wang, Yunfei Guo, Zehua Guo, Wenyan Liu, and Chao Yang, ‘‘Protecting Scientific Workflows in Clouds with an Intrusion Tolerant System’’, IET Information Security, 2020, vol.14, pp.157-165.

  11. [ISJ] Zehua Guo, Sen Liu, and Zhi-Li Zhang, ‘‘Traffic Control for RDMA-enabled Data Center Networks: A Survey’’, IEEE Systems Journal, 2020, vol.14, no.1, pp.677-688.

Conference/Workshop Papers

  1. [IJCAI] Penghao Sun, Zehua Guo, Junchao Wang, Junfei Li, Julong Lan, and Yuxiang Hu, ‘‘DeepWeave: Accelerating Job Completion Time with Deep Reinforcement Learning-based Inter-Coflow Scheduling’’, 29th International Joint Conference on Artificial Intelligence 2020. (CCF A)

  2. [IWQoS] Zehua Guo, Songshi Dou, and Wenchao Jiang, ‘‘Improving the Path Programmability for Software-Defined WANs under Multiple Controller Failures’’, IEEE/ACM International Symposium on Quality of Service 2020. (CCF B)

  3. [ICASSP] Penghao Sun, Zehua Guo, Sen Liu, Julong Lan, and Yuxiang Hu,‘‘QoS-aware Flow control for Power-efficient Data Center Networks with Deep Reinforcement Learning’’, IEEE International Conference on Acoustics, Speech, and Signal Processing 2020. (CCF B)

  4. [ICASSP] Penghao Sun, Julong Lan, Zehua Guo, Yang Xu, and Yuxiang Hu, ‘‘Improving the Scalability of Deep Reinforcement Learning-based Routing with Control on Partial Nodes’’, IEEE International Conference on Acoustics, Speech, and Signal Processing 2020. (CCF B)

  5. [ICC] Wendi Feng, Zehua Guo, Chuanchang Liu, Yueming Zheng, Meng Wang, Bo Cheng, and Junliang Chen, ‘‘BAGUETTE: Towards a Secure and Cost-effective Switch Upgrade in Hybrid SDN’’, IEEE International Conference on Communications 2020.

  6. [ICC] Penghao Sun, Julong Lan, Zehua Guo, Di Zhang, Xianfu Chen, Yuxiang Hu, and Zhi Liu, ‘‘DeepMigration: Flow Migration for NFV with Graph-based Deep Reinforcement Learning ’’, IEEE International Conference on Communications 2020.

  7. [NETAI] Junjie Zhang, Zehua Guo, Minghao Ye, and H. Jonathan Chao, ‘‘SmartEntry: Mitigating Routing Update Overhead with Reinforcement Learning for Traffic Engineering’’, ACM SIGCOMM 2020 Workshop on Network Meets AI & ML.

2019

Journal Papers

  1. [JSAC] Zehua Guo, Weikun Chen, Ya-Feng Liu, Yang Xu, and Zhi-Li Zhang, ‘‘Joint Switch Upgrade and Controller Deployment in Hybrid Software-Defined Networks’’, IEEE Journal on Selected Areas in Communications, 2019, vol.37, no. 5, pp.1012-1028. (CCF A)

  2. [JSAC] Yang Xu, Shikhar Shukla, Zehua Guo, Sen Liu, Adrian S.-W. Tam, Kang Xi, and H. Jonathan Chao, ‘‘RAPID: Avoiding TCP Incast Throughput Collapse in Public Clouds with Intelligent Packet Discarding’’. IEEE Journal on Selected Areas in Communications, 2019, vol.37, no. 8, pp.1911-1923. (CCF A)

  3. [FGCS] Tao Hu, Peng Yi, Zehua Guo, Yuxiang Hu, and Julong Lan, ‘‘Dynamic Slave Controller Assignment for the Fault-tolerant Control Plane in Large-scale Software-Defined Networks’’, Elsevier Future Generation Computer Systems, 2019, vol.95, pp.681-693. (JCR Q1)

  4. [CL] Jianjian Ai, Zehua Guo, Hongchang Chen, and Guozhen Cheng, ‘‘Improving the Routing Security in Software-Defined Networks’’, IEEE Communications Letters, 2019, vol.23, no.5, pp.838-841.

Conference/Workshop Papers

  1. [IWQoS] Zehua Guo, Wendi Feng, Sen Liu, Wenchao Jiang, Yang Xu, and Zhi-Li Zhang, ‘‘RetroFlow: Maintaining Control Resiliency and Flow Programmability for Software-Defined WANs’’, IEEE/ACM International Symposium on Quality of Service 2019. (CCF B)

  2. [IWQoS] Gengbiao Shen, Qing Li, Yong Jiang, Richard Sinnott, Dong Lin, Zehua Guo, and Yi Wang, ‘‘Chunk-Level Request-Grant-Transfer Mode for QoE-Sensitive Video Delivery in CDN’’, IEEE/ACM International Symposium on Quality of Service 2019. (CCF B)

  3. [ISCC] Jianjian Ai, Hongchang Chen, Zehua Guo, Guozhen Cheng, and Thar Baker, ‘‘Improving Network Resiliency of Software-Defined Networks with Network Coding-based Routing’’, IEEE Symposium on Computers and Communications 2019.

  4. [ISCC] Wendi Feng, Chuanchang Liu, Zehua Guo, Thar Baker, Bo Cheng, and Junliang Chen, ‘‘Data Loss Prevention and Storage Utilization Improvement of Hidden Volume on Mobile Devices’’. IEEE Symposium on Computers and Communications 2019.

2018

Journal Papers

  1. [COMNET] Xuya Jia, Yong Jiang, Zehua Guo, Lei Wang, and Gengbiao Shen, ‘‘Intelligent Path Control for Energy-saving in Hybrid SDN Networks’’, Elsevier Computer Networks, 2018, vol.131, pp.65-76. (CCF B)

  2. [FGCS] Zehua Guo, Yang Xu, Ruoyan Liu, Andrey Gushchin, Kuan-yin Chen, Anwar Walid, and H. Jonathan Chao, ‘‘Balancing Flow Table Occupancy and Link Utilization in Software-Defined Networks’’, Elsevier Future Generation Computer Systems, 2018, vol.89, pp.213-223. (JCR Q1)

  3. [TNSM] Tao Wang, Zehua Guo, Hongchang Chen, and Wei Liu, ‘‘BWManager: Mitigating Denial of Service Attacks in Software-Defined Networks through Bandwidth Prediction’’, IEEE Transactions on Network and Service Management, 2018, vol.15, no.4, pp.1235-1248.

  4. [CL] Jianjian Ai, Zehua Guo, and Hongchang Chen, ‘‘Thwarting Worm Spread in Heterogeneous Networks with Diverse Variants Placement’’, IEEE Communications Letters, 2018, vol.22, no.7, pp.1346-1349.

Conference/Workshop Papers

  1. [ICC] Tao Hu, Zehua Guo, Jianhui Zhang, and Julong Lan, ‘‘Adaptive Slave Controller Assignment for Fault-tolerant Control Plane in Software-Defined Networking’’, IEEE International Conference on Communications 2018.

Before 2018

Journal Papers

  1. [COMNET] Zehua Guo, Ruoyan Liu, Yang Xu, Andrey Gushchin, Anwar Walid, and H. Jonathan Chao, ‘‘STAR: Preventing Flow-table Overflow in Software-Defined Networks’’, Elsevier Computer Networks, 2017, vol.125, pp.15-25. (CCF B)

  2. [COMNET] Xuya Jia, Qing Li, Yong Jiang, Zehua Guo, and Jie Sun ‘‘A Low Overhead Flow-Holding Algorithm in Software-Defined Networks’’, Elsevier Computer Networks, 2017, vol.124, pp.170-180. (CCF B)

  3. [COMNET] Zehua Guo, Yang Xu, Marco Cello, Junjie Zhang, Zicheng Wang, Mingjian Liu, and H. Jonathan Chao, ‘‘JumpFlow: Reducing Flow Table Usage in Software-Defined Networks’’, Elsevier Computer Networks, 2015, vol.92, pp.300-315. (CCF B)

  4. [COMNET] Zehua Guo, Mu Su, Yang Xu, Zhemin Duan, Luo Wang, Shufeng Hui, and H. Jonathan Chao, ‘‘Improving the Performance of Load Balancing in Software-Defined Networks through Load Variance-based Synchronization’’, Elsevier Computer Networks, 2014, vol.68, pp.95-109. (CCF B)

  5. [COMCOM] Zehua Guo, Zhemin Duan, Yang Xu, and H. Jonathan Chao, ‘‘JET: Electricity Cost-aware Dynamic Workload Management in Geographically Distributed Datacenters’’, Elsevier Computer Communications, 2014, vol.50, pp.162-174.

  6. [CL] Zehua Guo, Zhemin Duan, Yang Xu, and H. Jonathan Chao, ‘‘Cutting the Electricity Cost for Distributed Data Centers through Smart Workload Dispatching’’, IEEE Communications Letters, 2013, vol.17, no.12, pp.2384-2387.

Conference/Workshop Papers

  1. [IWQoS] Zehua Guo, Shufeng Hui, Yang Xu, and H. Jonathan Chao, ‘‘Dynamic Flow Scheduling for Power-efficient Data Center Networks’’, IEEE/ACM International Symposium on Quality of Service 2016. (CCF B)

  2. [LCN] Xuya Jia, Yong Jiang, and Zehua Guo, ‘‘Incremental Switch Deployment for Hybrid Software-Defined Networks’’, IEEE Conference on Local Computer Networks 2016.

  3. [LCN] Xuya Jia, Yong Jiang, Zehua Guo, and Zhenwei Wu ‘‘Reducing and Balancing Flow Table Entries in Software-Defined Networks’’, IEEE Conference on Local Computer Networks 2016.