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 97 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Prophet: Traffic Engineering-Centric Traffic Matrix Prediction.
IEEE/ACM Trans. Netw., February, 2024

Toward Improved Path Programmability Recovery for Software-Defined WANs Under Multiple Controller Failures.
IEEE/ACM Trans. Netw., February, 2024

Mitigating the impact of controller failures on QoS robustness for software-defined wide area networks.
Comput. Networks, January, 2024

Halflife: An Adaptive Flowlet-based Load Balancer with Fading Timeout in Data Center Networks.
Proceedings of the Nineteenth European Conference on Computer Systems, 2024

2023
Exploring the Impact of Critical Programmability on Controller Placement for Software-Defined Wide Area Networks.
IEEE/ACM Trans. Netw., December, 2023

Toward Flexible and Predictable Path Programmability Recovery Under Multiple Controller Failures in Software-Defined WANs.
IEEE/ACM Trans. Netw., October, 2023

A Collaborative Superpixelwise Autoencoder for Unsupervised Dimension Reduction in Hyperspectral Images.
Remote. Sens., September, 2023

FlexDATE: Flexible and Disturbance-Aware Traffic Engineering With Reinforcement Learning in Software-Defined Networks.
IEEE/ACM Trans. Netw., August, 2023

SpongeTraining: Achieving High Efficiency and Accuracy for Wireless Edge-Assisted Online Distributed Learning.
IEEE Trans. Mob. Comput., August, 2023

SMAF: a secure and makespan-aware framework for executing serverless workflows.
Sci. China Inf. Sci., March, 2023

Congestion-Aware Critical Gradient Scheduling for Distributed Machine Learning in Data Center Networks.
IEEE Trans. Cloud Comput., 2023

Analysis and Management of Network Function States.
IEEE Netw., 2023

Adaptive Resource Allocation for Workflow Containerization on Kubernetes.
CoRR, 2023

Reinforcement Learning-based Traffic Engineering for QoS Provisioning and Load Balancing.
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.
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.
Proceedings of the IEEE INFOCOM 2023, 2023

Roracle: Enabling Lookahead Routing for Scalable Traffic Engineering with Supervised Learning.
Proceedings of the 31st IEEE International Conference on Network Protocols, 2023

Efficient and Structural Gradient Compression with Principal Component Analysis for Distributed Training.
Proceedings of the 7th Asia-Pacific Workshop on Networking, 2023

Maintaining QoS-aware and Resilient Path Programmability for Metaverse in SD-WANs.
Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023

2022
Bringing Machine Learning to Software-Defined Networks
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.
IEEE/ACM Trans. Netw., 2022

Maintaining Control Resiliency and Flow Programmability in Software-Defined WANs During Controller Failures.
IEEE/ACM Trans. Netw., 2022

SDNShield: NFV-Based Defense Framework Against DDoS Attacks on SDN Control Plane.
IEEE/ACM Trans. Netw., 2022

SDN-ESRC: A Secure and Resilient Control Plane for Software-Defined Networks.
IEEE Trans. Netw. Serv. Manag., 2022

A Brief Survey on Recent Advances in Cloud Control Systems.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Mitigating Routing Update Overhead for Traffic Engineering by Combining Destination-Based Routing With Reinforcement Learning.
IEEE J. Sel. Areas Commun., 2022

Network Coding-based Resilient Routing for Maintaining Data Security and Availability in Software-Defined Networks.
J. Netw. Comput. Appl., 2022

TSBS: A Two-Stage Backpressure Scheduling scheme over multihop wireless networks.
Ad Hoc Networks, 2022

SFP: Service Function Chain Provision on Programmable Switches for Cloud Tenants.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

ABS: Adaptive Buffer Sizing via Augmented Programmability with Machine Learning.
Proceedings of the IEEE INFOCOM 2022, 2022

Low Control Latency SD-WANs for Metaverse.
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.
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.
IEEE/ACM Trans. Netw., 2021

HybridFlow: Achieving Load Balancing in Software-Defined WANs With Scalable Routing.
IEEE Trans. Commun., 2021

Enabling Technologies for Energy Cloud.
J. Parallel Distributed Comput., 2021

Communication-efficient hierarchical distributed optimization for multi-agent policy evaluation.
J. Comput. Sci., 2021

A Scalable Deep Reinforcement Learning Approach for Traffic Engineering Based on Link Control.
IEEE Commun. Lett., 2021

Combining Deep Reinforcement Learning With Graph Neural Networks for Optimal VNF Placement.
IEEE Commun. Lett., 2021

An adaptive defense mechanism to prevent advanced persistent threats.
Connect. Sci., 2021

ScaleDRL: A Scalable Deep Reinforcement Learning Approach for Traffic Engineering in SDN with Pinning Control.
Comput. Networks, 2021

Matchmaker: Maintaining network programmability for Software-Defined WANs under multiple controller failures.
Comput. Networks, 2021

DATE: Disturbance-Aware Traffic Engineering with Reinforcement Learning in Software-Defined Networks.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

Video Quality and Popularity-aware Video Caching in Content Delivery Networks.
Proceedings of the 2021 IEEE International Conference on Web Services, 2021

Optimizing Flow Completion Time via Adaptive Buffer Management in Data Center Networks.
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.
Proceedings of the 29th IEEE International Conference on Network Protocols, 2021

Poster: Enabling Fast Forwarding in Hybrid Software-Defined Networks.
Proceedings of the 29th IEEE International Conference on Network Protocols, 2021

ProgrammabilityMedic: Predictable Path Programmability Recovery under Multiple Controller Failures in SD-WANs.
Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

Exploring the Impact of Attacks on Ring AllReduce.
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.
IEEE Syst. J., 2020

CFR-RL: Traffic Engineering With Reinforcement Learning in SDN.
IEEE J. Sel. Areas Commun., 2020

COMITMENT: A Fog Computing Trust Management Approach.
J. Parallel Distributed Comput., 2020

Protecting scientific workflows in clouds with an intrusion tolerant system.
IET Inf. Secur., 2020

CLOSURE: A cloud scientific workflow scheduling algorithm based on attack-defense game model.
Future Gener. Comput. Syst., 2020

Exploring the role of paths for dynamic switch assignment in software-defined networks.
Future Gener. Comput. Syst., 2020

MobiGyges: A mobile hidden volume for preventing data loss, improving storage utilization, and avoiding device reboot.
Future Gener. Comput. Syst., 2020

Mitigating malicious packets attack via vulnerability-aware heterogeneous network devices assignment.
Future Gener. Comput. Syst., 2020

A BBR-based congestion control for delay-sensitive real-time applications.
Computing, 2020

Efficient flow migration for NFV with Graph-aware deep reinforcement learning.
Comput. Networks, 2020

MARVEL: Enabling controller load balancing in software-defined networks with multi-agent reinforcement learning.
Comput. Networks, 2020

SmartFCT: Improving power-efficiency for data center networks with deep reinforcement learning.
Comput. Networks, 2020

SmartEntry: Mitigating Routing Update Overhead with Reinforcement Learning for Traffic Engineering.
Proceedings of the 2020 Workshop on Network Meets AI & ML, 2020

Improving the Path Programmability for Software-Defined WANs under Multiple Controller Failures.
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.
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.
Proceedings of the 28th IEEE International Conference on Network Protocols, 2020

DeepMigration: Flow Migration for NFV with Graph-based Deep Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

BAGUETTE: Towards a Secure and Cost-effective Switch Upgrade in Hybrid Software-Defined Networks.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Improving the Scalability of Deep Reinforcement Learning-Based Routing with Control on Partial Nodes.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

QOS-Aware Flow Control for Power-Efficient Data Center Networks with Deep Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
RAPID: Avoiding TCP Incast Throughput Collapse in Public Clouds With Intelligent Packet Discarding.
IEEE J. Sel. Areas Commun., 2019

Joint Switch Upgrade and Controller Deployment in Hybrid Software-Defined Networks.
IEEE J. Sel. Areas Commun., 2019

Improving the Routing Security in Software-Defined Networks.
IEEE Commun. Lett., 2019

Dynamic slave controller assignment for enhancing control plane robustness in software-defined networks.
Future Gener. Comput. Syst., 2019

An Adaptive and Lightweight Update Mechanism for SDN.
IEEE Access, 2019

Securing the Intermediate Data of Scientific Workflows in Clouds With ACISO.
IEEE Access, 2019

SINET: Enabling Scalable Network Routing with Deep Reinforcement Learning on Partial Nodes.
Proceedings of the ACM SIGCOMM 2019 Conference Posters and Demos, 2019

Chunk-level request-grant-transfer mode for QoE-sensitive video delivery in CDN.
Proceedings of the International Symposium on Quality of Service, 2019

RetroFlow: maintaining control resiliency and flow programmability for software-defined WANs.
Proceedings of the International Symposium on Quality of Service, 2019

Data Loss Prevention and Storage Utilization Improvement of the Hidden Volume on Mobile Devices.
Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019

Improving Resiliency of Software-Defined Networks with Network Coding-based Multipath Routing.
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.
IEEE Trans. Netw. Serv. Manag., 2018

Thwarting Worm Spread in Heterogeneous Networks With Diverse Variant Placement.
IEEE Commun. Lett., 2018

Balancing flow table occupancy and link utilization in software-defined networks.
Future Gener. Comput. Syst., 2018

Intelligent path control for energy-saving in hybrid SDN networks.
Comput. Networks, 2018

DROM: Optimizing the Routing in Software-Defined Networks With Deep Reinforcement Learning.
IEEE Access, 2018

Bidirectional Matching Strategy for Multi-Controller Deployment in Distributed Software Defined Networking.
IEEE Access, 2018

Multi-controller Based Software-Defined Networking: A Survey.
IEEE Access, 2018

Adaptive Slave Controller Assignment for Fault-Tolerant Control Plane in Software-Defined Networking.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

2017
A low overhead flow-holding algorithm in software-defined networks.
Comput. Networks, 2017

STAR: Preventing flow-table overflow in software-defined networks.
Comput. Networks, 2017

2016
Reducing and Balancing Flow Table Entries in Software-Defined Networks.
Proceedings of the 41st IEEE Conference on Local Computer Networks, 2016

Incremental Switch Deployment for Hybrid Software-Defined Networks.
Proceedings of the 41st IEEE Conference on Local Computer Networks, 2016

Dynamic flow scheduling for Power-efficient Data Center Networks.
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.
Proceedings of the IEEE Conference on Computer Communications Workshops, 2016

2015
JumpFlow: Reducing flow table usage in software-defined networks.
Comput. Networks, 2015

2014
JET: Electricity cost-aware dynamic workload management in geographically distributed datacenters.
Comput. Commun., 2014

Improving the performance of load balancing in software-defined networks through load variance-based synchronization.
Comput. Networks, 2014

2013
Cutting the Electricity Cost of Distributed Datacenters Through Smart Workload Dispatching.
IEEE Commun. Lett., 2013


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