Qun Huang

Orcid: 0000-0002-2387-6131

Affiliations:
  • Peking University, Department of Computer Science and Technology, Beijing, China
  • Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China (2017 - 2020)
  • Chinese University of Hong Kong, Hong Kong (PhD 2015)


According to our database1, Qun Huang authored at least 79 papers between 2013 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Toward Resource-Efficient and High- Performance Program Deployment in Programmable Networks.
IEEE/ACM Trans. Netw., October, 2024

Resource-Efficient and Timely Packet Header Vector (PHV) Encoding on Programmable Switches.
IEEE/ACM Trans. Netw., October, 2024

Toward Full-Coverage and Low-Overhead Profiling of Network-Stack Latency.
IEEE/ACM Trans. Netw., October, 2024

Hermes: Low-Overhead Inter-Switch Coordination in Network-Wide Data Plane Program Deployment.
IEEE/ACM Trans. Netw., August, 2024

Distributed Network Telemetry With Resource Efficiency and Full Accuracy.
IEEE/ACM Trans. Netw., June, 2024

Coordination of networking and computing: toward new information infrastructure and new services mode.
Frontiers Inf. Technol. Electron. Eng., May, 2024

Toward Scalable and Low-Cost Traffic Testing for Evaluating DDoS Defense Solutions.
IEEE/ACM Trans. Netw., February, 2024

Terra: Low-latency and reliable event collection in network measurement.
J. Netw. Comput. Appl., 2024

RD-Probe: Scalable Monitoring With Sufficient Coverage In Complex Datacenter Networks.
Proceedings of the ACM SIGCOMM 2024 Conference, 2024

Eagle: Toward Scalable and Near-Optimal Network-Wide Sketch Deployment in Network Measurement.
Proceedings of the ACM SIGCOMM 2024 Conference, 2024

AutoSketch: Automatic Sketch-Oriented Compiler for Query-driven Network Telemetry.
Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

Accelerating Sketch-based End-Host Traffic Measurement with Automatic DPU Offloading.
Proceedings of the IEEE INFOCOM 2024, 2024

RB<sup>2</sup>: Narrow the Gap between RDMA Abstraction and Performance via a Middle Layer.
Proceedings of the IEEE INFOCOM 2024, 2024

PP-Stream: Toward High-Performance Privacy-Preserving Neural Network Inference via Distributed Stream Processing.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
MVPipe: Enabling Lightweight Updates and Fast Convergence in Hierarchical Heavy Hitter Detection.
IEEE/ACM Trans. Netw., December, 2023

Noah: Reinforcement-Learning-Based Rate Limiter for Microservices in Large-Scale E-Commerce Services.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Eliminating Control Plane Overload via Measurement Task Placement.
IEEE/ACM Trans. Netw., August, 2023

Toward Low-Latency and Accurate State Synchronization for Programmable Networks.
IEEE/ACM Trans. Netw., June, 2023

A High-Performance Invertible Sketch for Network-Wide Superspreader Detection.
IEEE/ACM Trans. Netw., April, 2023

A general delta-based in-band network telemetry framework with extremely low bandwidth overhead.
Comput. Networks, March, 2023

Stalker Attacks: Imperceptibly Dropping Sketch Measurement Accuracy on Programmable Switches.
IEEE Trans. Inf. Forensics Secur., 2023

Automatic Performance-Optimal Offloading of Network Functions on Programmable Switches.
IEEE Trans. Cloud Comput., 2023

Empowering DDoS Attack Mitigation with Programmable Switches.
IEEE Netw., 2023

Empowering Network Security With Programmable Switches: A Comprehensive Survey.
IEEE Commun. Surv. Tutorials, 2023

FarReach: Write-back Caching in Programmable Switches.
Proceedings of the 2023 USENIX Annual Technical Conference, 2023

OmniWindow: A General and Efficient Window Mechanism Framework for Network Telemetry.
Proceedings of the ACM SIGCOMM 2023 Conference, 2023

BitSense: Universal and Nearly Zero-Error Optimization for Sketch Counters with Compressive Sensing.
Proceedings of the ACM SIGCOMM 2023 Conference, 2023

Vulnerabilities and Attacks of Inter-device Coordination in Programmable Networks.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

Melody: Toward Resource-Efficient Packet Header Vector Encoding on Programmable Switches.
Proceedings of the IEEE INFOCOM 2023, 2023

Excalibur: A Scalable and Low-Cost Traffic Testing Framework for Evaluating DDoS Defense Solutions.
Proceedings of the IEEE INFOCOM 2023, 2023

HistSketch: A Compact Data Structure for Accurate Per-Key Distribution Monitoring.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

SK-Gradient: Efficient Communication for Distributed Machine Learning with Data Sketch.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Rethinking Fine-Grained Measurement From Software-Defined Perspective: A Survey.
IEEE Trans. Serv. Comput., 2022

NfvInsight: A Framework for Automatically Deploying and Benchmarking VNF Chains.
J. Comput. Sci. Technol., 2022

QStack: Re-architecting User-space Network Stack to Optimize CPU Efficiency and Service Quality.
CoRR, 2022

Escala: Timely Elastic Scaling of Control Channels in Network Measurement.
Proceedings of the IEEE INFOCOM 2022, 2022

Torp: Full-Coverage and Low-Overhead Profiling of Host-Side Latency.
Proceedings of the IEEE INFOCOM 2022, 2022

SketchGuide: Reconfiguring Sketch-based Measurement on Programmable Switches.
Proceedings of the 30th IEEE International Conference on Network Protocols, 2022

Toward Low-Overhead Inter-Switch Coordination in Network-Wide Data Plane Program Deployment.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

2021
Repair Pipelining for Erasure-coded Storage: Algorithms and Evaluation.
ACM Trans. Storage, 2021

PR-Sketch: Monitoring Per-key Aggregation of Streaming Data with Nearly Full Accuracy.
Proc. VLDB Endow., 2021

Enabling Low-Redundancy Proactive Fault Tolerance for Stream Machine Learning via Erasure Coding.
Proceedings of the 40th International Symposium on Reliable Distributed Systems, 2021

Toward Nearly-Zero-Error Sketching via Compressive Sensing.
Proceedings of the 18th USENIX Symposium on Networked Systems Design and Implementation, 2021

LightNF: Simplifying Network Function Offloading in Programmable Networks.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

MTP: Avoiding Control Plane Overload with Measurement Task Placement.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

DeltaINT: Toward General In-band Network Telemetry with Extremely Low Bandwidth Overhead.
Proceedings of the 29th IEEE International Conference on Network Protocols, 2021

EPA-Route: Routing Payment Channel Network with High Success Rate and Low Payment Fees.
Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

A Sketch Algorithm to Monitor High Packet Delay in Network Traffic.
Proceedings of the APNet 2021: 5th Asia-Pacific Workshop on Networking, Shenzhen, China, June 24, 2021

2020
A Fast and Compact Invertible Sketch for Network-Wide Heavy Flow Detection.
IEEE/ACM Trans. Netw., 2020

OmniMon: Re-architecting Network Telemetry with Resource Efficiency and Full Accuracy.
Proceedings of the SIGCOMM '20: Proceedings of the 2020 Annual conference of the ACM Special Interest Group on Data Communication on the applications, 2020

SpreadSketch: Toward Invertible and Network-Wide Detection of Superspreaders.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

FastScale: Fast Scaling Out of Network Functions.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Martini: Bridging the Gap between Network Measurement and Control Using Switching ASICs.
Proceedings of the 28th IEEE International Conference on Network Protocols, 2020

SPEED: Resource-Efficient and High-Performance Deployment for Data Plane Programs.
Proceedings of the 28th IEEE International Conference on Network Protocols, 2020

ApproSync: Approximate State Synchronization for Programmable Networks.
Proceedings of the 28th IEEE International Conference on Network Protocols, 2020

T<sup>2</sup>DNS: A Third-Party DNS Service with Privacy Preservation and Trustworthiness.
Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

HybridSketch: A Memory-centric Precise Approach for Flow Measurement.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

SmartChain: Enabling High-Performance Service Chain Partition between SmartNIC and CPU.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Optimized HybridSketch: More Efficient with Analysis and Algorithm.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

SRA: Switch Resource Aggregation for Application Offloading in Programmable Networks.
Proceedings of the IEEE Global Communications Conference, 2020

Marabunta: Continuous Distributed Processing of Skewed Streams.
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

2019
On the performance and convergence of distributed stream processing via approximate fault tolerance.
VLDB J., 2019

Adaptive Measurements Using One Elastic Sketch.
IEEE/ACM Trans. Netw., 2019

Dynamic Packet Forwarding Verification in SDN.
IEEE Trans. Dependable Secur. Comput., 2019

Metaflow: A DAG-Based Network Abstraction for Distributed Applications.
CoRR, 2019

P4SC: A High Performance and Flexible Framework for Service Function Chain.
IEEE Access, 2019

MV-Sketch: A Fast and Compact Invertible Sketch for Heavy Flow Detection in Network Data Streams.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Metaflow: A Better Traffic Abstraction for Distributed Applications.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2018
Sketchlearn: relieving user burdens in approximate measurement with automated statistical inference.
Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication, 2018

Empowering Sketches with Machine Learning for Network Measurements.
Proceedings of the 2018 Workshop on Network Meets AI & ML, 2018

Elastic sketch: adaptive and fast network-wide measurements.
Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication, 2018

2017
Repair Pipelining for Erasure-Coded Storage.
Proceedings of the 2017 USENIX Annual Technical Conference, 2017

SketchVisor: Robust Network Measurement for Software Packet Processing.
Proceedings of the Conference of the ACM Special Interest Group on Data Communication, 2017

2016
Toward High-Performance Distributed Stream Processing via Approximate Fault Tolerance.
Proc. VLDB Endow., 2016

2015
A hybrid local and distributed sketching design for accurate and scalable heavy key detection in network data streams.
Comput. Networks, 2015

Exploiting intra-packet dependency for fine-grained protocol format inference.
Proceedings of the 14th IFIP Networking Conference, 2015

Fine-grained dissection of WeChat in cellular networks.
Proceedings of the 23rd IEEE International Symposium on Quality of Service, 2015

2014
LD-Sketch: A distributed sketching design for accurate and scalable anomaly detection in network data streams.
Proceedings of the 2014 IEEE Conference on Computer Communications, 2014

2013
An experimental study of cascading performance interference in a virtualized environment.
SIGMETRICS Perform. Evaluation Rev., 2013


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