Zehua Guo

Orcid: 0000-0001-7314-410X

Affiliations:

Beijing Institute of Technology, China
University of Minnesota, Minneapolis, MN, USA (former)
ChinaCache, Beijing, China (former)
Northwestern Polytechnical University, Xi'an, China (PhD 2014)

According to our database¹, Zehua Guo authored at least 109 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Path Programmability Recovery under Controller Failures for SD-WANs: Recent Advances and Future Research Challenges.

[BibT_eX]

[DOI]

Songshi Dou

Zehua Guo

IEEE Commun. Mag., November, 2024

When In-Network Computing Meets Distributed Machine Learning.

[BibT_eX]

[DOI]

IEEE Netw., September, 2024

Maintaining Control Resiliency for Traffic Engineering in SD-WANs.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., August, 2024

Realizing the Carbon-Aware Service Provision in ICT System.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Serv. Manag., August, 2024

Maintaining the Network Performance of Software-Defined WANs With Efficient Critical Routing.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Serv. Manag., April, 2024

Building Scalable and Flexible Virtual Networks on Programmable Data Plane.

[BibT_eX]

[DOI]

IEEE Netw., March, 2024

Prophet: Traffic Engineering-Centric Traffic Matrix Prediction.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., February, 2024

Toward Improved Path Programmability Recovery for Software-Defined WANs Under Multiple Controller Failures.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., February, 2024

Mitigating the impact of controller failures on QoS robustness for software-defined wide area networks.

[BibT_eX]

[DOI]

Songshi Dou

Li Qi

Zehua Guo

Comput. Networks, January, 2024

Byzantine-robust Federated Learning via Cosine Similarity Aggregation.

[BibT_eX]

[DOI]

Comput. Networks, 2024

ARES: Predictable Traffic Engineering under Controller Failures in SD-WANs.

[BibT_eX]

[DOI]

Songshi Dou

Li Qi

Zehua Guo

Proceedings of the ACM on Web Conference 2024, 2024

Toward Determined Service for Distributed Machine Learning.

[BibT_eX]

[DOI]

Haowen Zhu

Minghao Ye

Zehua Guo

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

Hierarchical Sketch: An Efficient, Scalable and Latency-aware Content Caching Design for Content Delivery Networks.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

An ML-Accelerated Framework for Large-Scale Constrained Traffic Engineering.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

Halflife: An Adaptive Flowlet-based Load Balancer with Fading Timeout in Data Center Networks.

[BibT_eX]

[DOI]

Proceedings of the Nineteenth European Conference on Computer Systems, 2024

Exploring the Impact of Traffic Scheduling on Network Soft Slicing.

[BibT_eX]

[DOI]

Xiaoyang Fu

Zehua Guo

Proceedings of the 8th Asia-Pacific Workshop on Networking, 2024

2023

Exploring the Impact of Critical Programmability on Controller Placement for Software-Defined Wide Area Networks.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., December, 2023

Toward Flexible and Predictable Path Programmability Recovery Under Multiple Controller Failures in Software-Defined WANs.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., October, 2023

A Collaborative Superpixelwise Autoencoder for Unsupervised Dimension Reduction in Hyperspectral Images.

[BibT_eX]

[DOI]

Remote. Sens., September, 2023

FlexDATE: Flexible and Disturbance-Aware Traffic Engineering With Reinforcement Learning in Software-Defined Networks.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., August, 2023

SpongeTraining: Achieving High Efficiency and Accuracy for Wireless Edge-Assisted Online Distributed Learning.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., August, 2023

SMAF: a secure and makespan-aware framework for executing serverless workflows.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., March, 2023

Congestion-Aware Critical Gradient Scheduling for Distributed Machine Learning in Data Center Networks.

[BibT_eX]

[DOI]

IEEE Trans. Cloud Comput., 2023

Analysis and Management of Network Function States.

[BibT_eX]

[DOI]

IEEE Netw., 2023

Adaptive Resource Allocation for Workflow Containerization on Kubernetes.

[BibT_eX]

[DOI]

CoRR, 2023

Reinforcement Learning-based Traffic Engineering for QoS Provisioning and Load Balancing.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

RateSheriff: Multipath Flow-aware and Resource Efficient Rate Limiter Placement for Data Center Networks.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

LARRI: Learning-based Adaptive Range Routing for Highly Dynamic Traffic in WANs.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2023, 2023

Roracle: Enabling Lookahead Routing for Scalable Traffic Engineering with Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Conference on Network Protocols, 2023

Efficient and Structural Gradient Compression with Principal Component Analysis for Distributed Training.

[BibT_eX]

[DOI]

Jiaxin Tan

Chao Yao

Zehua Guo

Proceedings of the 7th Asia-Pacific Workshop on Networking, 2023

Maintaining QoS-aware and Resilient Path Programmability for Metaverse in SD-WANs.

[BibT_eX]

[DOI]

Songshi Dou

Li Qi

Zehua Guo

Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023

2022

Bringing Machine Learning to Software-Defined Networks

[BibT_eX]

[DOI]

Zehua Guo

Springer Briefs in Computer Science, Springer, ISBN: 978-981-19-4873-2, 2022

Enabling Scalable Routing in Software-Defined Networks With Deep Reinforcement Learning on Critical Nodes.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2022

Maintaining Control Resiliency and Flow Programmability in Software-Defined WANs During Controller Failures.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2022

SDNShield: NFV-Based Defense Framework Against DDoS Attacks on SDN Control Plane.

[BibT_eX]

[DOI]

Kuan-yin Chen

Sen Liu

Yang Xu

Ishant Kumar Siddhrau

Siyu Zhou

Zehua Guo

H. Jonathan Chao

IEEE/ACM Trans. Netw., 2022

SDN-ESRC: A Secure and Resilient Control Plane for Software-Defined Networks.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Serv. Manag., 2022

A Brief Survey on Recent Advances in Cloud Control Systems.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. II Express Briefs, 2022

Mitigating Routing Update Overhead for Traffic Engineering by Combining Destination-Based Routing With Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2022

Network Coding-based Resilient Routing for Maintaining Data Security and Availability in Software-Defined Networks.

[BibT_eX]

[DOI]

J. Netw. Comput. Appl., 2022

TSBS: A Two-Stage Backpressure Scheduling scheme over multihop wireless networks.

[BibT_eX]

[DOI]

Ad Hoc Networks, 2022

SFP: Service Function Chain Provision on Programmable Switches for Cloud Tenants.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

ABS: Adaptive Buffer Sizing via Augmented Programmability with Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2022, 2022

Low Control Latency SD-WANs for Metaverse.

[BibT_eX]

[DOI]

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

ERA: Meeting the Fairness between Sender-driven and Receiver-driven Transmission Protocols in Data Center Networks.

[BibT_eX]

[DOI]

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

2021

AggreFlow: Achieving Power Efficiency, Load Balancing, and Quality of Service in Data Center Networks.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2021

HybridFlow: Achieving Load Balancing in Software-Defined WANs With Scalable Routing.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2021

Enabling Technologies for Energy Cloud.

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., 2021

Communication-efficient hierarchical distributed optimization for multi-agent policy evaluation.

[BibT_eX]

[DOI]

Jineng Ren

Jarvis D. Haupt

Zehua Guo

J. Comput. Sci., 2021

A Scalable Deep Reinforcement Learning Approach for Traffic Engineering Based on Link Control.

[BibT_eX]

[DOI]

IEEE Commun. Lett., 2021

Combining Deep Reinforcement Learning With Graph Neural Networks for Optimal VNF Placement.

[BibT_eX]

[DOI]

IEEE Commun. Lett., 2021

An adaptive defense mechanism to prevent advanced persistent threats.

[BibT_eX]

[DOI]

Connect. Sci., 2021

ScaleDRL: A Scalable Deep Reinforcement Learning Approach for Traffic Engineering in SDN with Pinning Control.

[BibT_eX]

[DOI]

Comput. Networks, 2021

Matchmaker: Maintaining network programmability for Software-Defined WANs under multiple controller failures.

[BibT_eX]

[DOI]

Comput. Networks, 2021

DATE: Disturbance-Aware Traffic Engineering with Reinforcement Learning in Software-Defined Networks.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

Video Quality and Popularity-aware Video Caching in Content Delivery Networks.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Web Services, 2021

Optimizing Flow Completion Time via Adaptive Buffer Management in Data Center Networks.

[BibT_eX]

[DOI]

Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

Federated Traffic Engineering with Supervised Learning in Multi-region Networks.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Conference on Network Protocols, 2021

Poster: Enabling Fast Forwarding in Hybrid Software-Defined Networks.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Conference on Network Protocols, 2021

ProgrammabilityMedic: Predictable Path Programmability Recovery under Multiple Controller Failures in SD-WANs.

[BibT_eX]

[DOI]

Songshi Dou

Zehua Guo

Yuanqing Xia

Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

Exploring the Impact of Attacks on Ring AllReduce.

[BibT_eX]

[DOI]

Proceedings of the APNet 2021: 5th Asia-Pacific Workshop on Networking, Shenzhen, China, June 24, 2021

2020

Traffic Control for RDMA-Enabled Data Center Networks: A Survey.

[BibT_eX]

[DOI]

Zehua Guo

Sen Liu

Zhi-Li Zhang

IEEE Syst. J., 2020

CFR-RL: Traffic Engineering With Reinforcement Learning in SDN.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2020

COMITMENT: A Fog Computing Trust Management Approach.

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., 2020

Protecting scientific workflows in clouds with an intrusion tolerant system.

[BibT_eX]

[DOI]

IET Inf. Secur., 2020

CLOSURE: A cloud scientific workflow scheduling algorithm based on attack-defense game model.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2020

Exploring the role of paths for dynamic switch assignment in software-defined networks.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2020

MobiGyges: A mobile hidden volume for preventing data loss, improving storage utilization, and avoiding device reboot.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2020

Mitigating malicious packets attack via vulnerability-aware heterogeneous network devices assignment.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2020

A BBR-based congestion control for delay-sensitive real-time applications.

[BibT_eX]

[DOI]

Computing, 2020

Efficient flow migration for NFV with Graph-aware deep reinforcement learning.

[BibT_eX]

[DOI]

Comput. Networks, 2020

MARVEL: Enabling controller load balancing in software-defined networks with multi-agent reinforcement learning.

[BibT_eX]

[DOI]

Comput. Networks, 2020

SmartFCT: Improving power-efficiency for data center networks with deep reinforcement learning.

[BibT_eX]

[DOI]

Comput. Networks, 2020

SmartEntry: Mitigating Routing Update Overhead with Reinforcement Learning for Traffic Engineering.

[BibT_eX]

[DOI]

Proceedings of the 2020 Workshop on Network Meets AI & ML, 2020

Improving the Path Programmability for Software-Defined WANs under Multiple Controller Failures.

[BibT_eX]

[DOI]

Zehua Guo

Songshi Dou

Wenchao Jiang

Proceedings of the 28th IEEE/ACM International Symposium on Quality of Service, 2020

DeepWeave: Accelerating Job Completion Time with Deep Reinforcement Learning-based Coflow Scheduling.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Poster: Maintaining Training Efficiency and Accuracy for Edge-assisted Online Federated Learning with ABS.

[BibT_eX]

[DOI]

Proceedings of the 28th IEEE International Conference on Network Protocols, 2020

DeepMigration: Flow Migration for NFV with Graph-based Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Communications, 2020

BAGUETTE: Towards a Secure and Cost-effective Switch Upgrade in Hybrid Software-Defined Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Improving the Scalability of Deep Reinforcement Learning-Based Routing with Control on Partial Nodes.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

QOS-Aware Flow Control for Power-Efficient Data Center Networks with Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

RAPID: Avoiding TCP Incast Throughput Collapse in Public Clouds With Intelligent Packet Discarding.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2019

Joint Switch Upgrade and Controller Deployment in Hybrid Software-Defined Networks.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2019

Improving the Routing Security in Software-Defined Networks.

[BibT_eX]

[DOI]

IEEE Commun. Lett., 2019

Dynamic slave controller assignment for enhancing control plane robustness in software-defined networks.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2019

An Adaptive and Lightweight Update Mechanism for SDN.

[BibT_eX]

[DOI]

IEEE Access, 2019

Securing the Intermediate Data of Scientific Workflows in Clouds With ACISO.

[BibT_eX]

[DOI]

IEEE Access, 2019

SINET: Enabling Scalable Network Routing with Deep Reinforcement Learning on Partial Nodes.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGCOMM 2019 Conference Posters and Demos, 2019

Chunk-level request-grant-transfer mode for QoE-sensitive video delivery in CDN.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Quality of Service, 2019

RetroFlow: maintaining control resiliency and flow programmability for software-defined WANs.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Quality of Service, 2019

Data Loss Prevention and Storage Utilization Improvement of the Hidden Volume on Mobile Devices.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019

Improving Resiliency of Software-Defined Networks with Network Coding-based Multipath Routing.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019

2018

BWManager: Mitigating Denial of Service Attacks in Software-Defined Networks Through Bandwidth Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Serv. Manag., 2018

Thwarting Worm Spread in Heterogeneous Networks With Diverse Variant Placement.

[BibT_eX]

[DOI]

Jianjian Ai

Zehua Guo

Hongchang Chen

IEEE Commun. Lett., 2018

Balancing flow table occupancy and link utilization in software-defined networks.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2018

Intelligent path control for energy-saving in hybrid SDN networks.

[BibT_eX]

[DOI]

Comput. Networks, 2018

DROM: Optimizing the Routing in Software-Defined Networks With Deep Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Access, 2018

Bidirectional Matching Strategy for Multi-Controller Deployment in Distributed Software Defined Networking.

[BibT_eX]

[DOI]

IEEE Access, 2018

Multi-controller Based Software-Defined Networking: A Survey.

[BibT_eX]

[DOI]

IEEE Access, 2018

Adaptive Slave Controller Assignment for Fault-Tolerant Control Plane in Software-Defined Networking.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Communications, 2018

2017

A low overhead flow-holding algorithm in software-defined networks.

[BibT_eX]

[DOI]

Comput. Networks, 2017

STAR: Preventing flow-table overflow in software-defined networks.

[BibT_eX]

[DOI]

Comput. Networks, 2017

2016

Reducing and Balancing Flow Table Entries in Software-Defined Networks.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE Conference on Local Computer Networks, 2016

Incremental Switch Deployment for Hybrid Software-Defined Networks.

[BibT_eX]

[DOI]

Xuya Jia

Yong Jiang

Zehua Guo

Proceedings of the 41st IEEE Conference on Local Computer Networks, 2016

Dynamic flow scheduling for Power-efficient Data Center Networks.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE/ACM International Symposium on Quality of Service, 2016

Secure virtual network embedding to mitigate the risk of covert channel attacks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Communications Workshops, 2016

2015

JumpFlow: Reducing flow table usage in software-defined networks.

[BibT_eX]

[DOI]

Comput. Networks, 2015

2014

JET: Electricity cost-aware dynamic workload management in geographically distributed datacenters.

[BibT_eX]

[DOI]

Comput. Commun., 2014

Improving the performance of load balancing in software-defined networks through load variance-based synchronization.

[BibT_eX]

[DOI]

Comput. Networks, 2014

2013

Cutting the Electricity Cost of Distributed Datacenters Through Smart Workload Dispatching.

[BibT_eX]

[DOI]

IEEE Commun. Lett., 2013

Zehua Guo

Timeline

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