Long Luo

Orcid: 0000-0003-1028-8178

According to our database1, Long Luo authored at least 64 papers between 2011 and 2024.

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

Timeline

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Bibliography

2024
Energy-Efficient Hierarchical Collaborative Learning Over LEO Satellite Constellations.
IEEE J. Sel. Areas Commun., December, 2024

Accelerating Geo-Distributed Machine Learning With Network-Aware Adaptive Tree and Auxiliary Route.
IEEE/ACM Trans. Netw., October, 2024

Short-Term Probabilistic Load Forecasting Using Quantile Regression Neural Network With Accumulated Hidden Layer Connection Structure.
IEEE Trans. Ind. Informatics, April, 2024

Joint Demand Forecasting and Network Slice Pricing for Profit Maximization in Network Slicing.
IEEE Trans. Netw. Sci. Eng., 2024

A Survey of Network Protocol Fuzzing: Model, Techniques and Directions.
CoRR, 2024

Poster: A Hybrid Virtual-Real Emulation Platform for Computer Network Education.
Proceedings of the ACM SIGCOMM 2024 Conference: Posters and Demos, 2024

Demo: Klonet-sat: A Comprehensive Platform for Satellite Network Education.
Proceedings of the ACM SIGCOMM 2024 Conference: Posters and Demos, 2024

Klonet: an Easy-to-Use and Scalable Platform for Computer Networks Education.
Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

Approximation Algorithms for Minimizing Congestion in Demand-Aware Networks.
Proceedings of the IEEE INFOCOM 2024, 2024

Analysis and Optimization for Passive One-way Delay Measurement Tax in Container Networks.
Proceedings of the 17th IEEE International Conference on Cloud Computing, 2024

2023
NBSync: Parallelism of Local Computing and Global Synchronization for Fast Distributed Machine Learning in WANs.
IEEE Trans. Serv. Comput., 2023

Cost-Efficient Scheduling of Multicast Transfers With Deadline Guarantees Across Edge Datacenters.
IEEE Trans. Serv. Comput., 2023

A Parallel Short-Term Power Load Forecasting Method Considering High-Level Elastic Loads.
IEEE Trans. Instrum. Meas., 2023

HFedMS: Heterogeneous Federated Learning With Memorable Data Semantics in Industrial Metaverse.
IEEE Trans. Cloud Comput., 2023

FedGSync: Jointly Optimized Weak Synchronization and Gradient Transmission for Fast Distributed Machine Learning in Heterogeneous WAN.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Performance Analysis of Non-ideal Wireless PBFT Networks with mmWave and Terahertz Signals.
Proceedings of the IEEE International Conference on Metaverse Computing, 2023

High Throughput Routing Path Selection for Payment Channel Network.
Proceedings of the IEEE Symposium on Computers and Communications, 2023

Maximizing Aggregation Throughput for Distributed Training with Constrained In-Network Computing.
Proceedings of the IEEE International Conference on Communications, 2023

2022
PSACCF: Prioritized Online Slice Admission Control Considering Fairness in 5G/B5G Networks.
IEEE Trans. Netw. Sci. Eng., 2022

Game Theoretic Approach for Multipriority Data Transmission in 5G Vehicular Networks.
IEEE Trans. Intell. Transp. Syst., 2022

Intersection-Based V2X Routing via Reinforcement Learning in Vehicular Ad Hoc Networks.
IEEE Trans. Intell. Transp. Syst., 2022

Deadline-Aware Fast One-to-Many Bulk Transfers over Inter-Datacenter Networks.
IEEE Trans. Cloud Comput., 2022

Optimizing multicast flows in high-bandwidth reconfigurable datacenter networks.
J. Netw. Comput. Appl., 2022

Blockchain-Enabled Two-Way Auction Mechanism for Electricity Trading in Internet of Electric Vehicles.
IEEE Internet Things J., 2022

Joint Client Selection and Resource Allocation for Federated Learning in Mobile Edge Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Flexible and Efficient Multicast Transfers in Inter-Datacenter Networks.
Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022

Eliminating Communication Bottlenecks in Cross-Device Federated Learning with In-Network Processing at the Edge.
Proceedings of the IEEE International Conference on Communications, 2022

Fast Parameter Synchronization for Distributed Learning with Selective Multicast.
Proceedings of the IEEE International Conference on Communications, 2022

vNetRadar: Lightweight and Network-Wide Traffic Measurement in Virtual Networks.
Proceedings of the IEEE Global Communications Conference, 2022

MMOS: Multi-Staged Mutation Operator Scheduling for Deep Learning Library Testing.
Proceedings of the IEEE Global Communications Conference, 2022

DeepCov: Coverage Guided Deep Learning Framework Fuzzing.
Proceedings of the 7th IEEE International Conference on Data Science in Cyberspace, 2022

2021
TSEngine: Enable Efficient Communication Overlay in Distributed Machine Learning in WANs.
IEEE Trans. Netw. Serv. Manag., 2021

Parallel spiral search algorithm applied to integer motion estimation.
Signal Process. Image Commun., 2021

Image Recognition Technology with Its Application in Defect Detection and Diagnosis Analysis of Substation Equipment.
Sci. Program., 2021

Toward Improving QoS and Energy Efficiency in Wireless Body Area Networks.
IEEE Syst. J., 2021

Byzantine Resistant Secure Blockchained Federated Learning at the Edge.
IEEE Netw., 2021

Latency performance modeling and analysis for hyperledger fabric blockchain network.
Inf. Process. Manag., 2021

DGT: A contribution-aware differential gradient transmission mechanism for distributed machine learning.
Future Gener. Comput. Syst., 2021

Security-SLA-guaranteed service function chain deployment in cloud-fog computing networks.
Clust. Comput., 2021

Correlation between Leakage Current and Humidity Degree of Insulator Contamination.
Proceedings of the ICITEE 2021: The 4th International Conference on Information Technologies and Electrical Engineering, Changde, Hunan, China, October 29, 2021

Fast Synchronization of Model Updates for Collaborative Learning in Micro-Clouds.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

2020
Inter-Datacenter Bulk Transfers: Trends and Challenges.
IEEE Netw., 2020

Deadline-Aware Multicast Transfers in Software-Defined Optical Wide-Area Networks.
IEEE J. Sel. Areas Commun., 2020

Job scheduling for distributed machine learning in optical WAN.
Future Gener. Comput. Syst., 2020

Towards Yo-Yo attack mitigation in cloud auto-scaling mechanism.
Digit. Commun. Networks, 2020

OptFlow: A Flow-based Abstraction for Programmable Topologies.
Proceedings of the SOSR '20: Symposium on SDN Research, San Jose, CA, USA, March 3, 2020, 2020

SplitCast: Optimizing Multicast Flows in Reconfigurable Datacenter Networks.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Virtualized Network Function Provisioning in Stochastic Cloud Environment.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Migration Aware Virtual Network Function Placing and Routing in Uncertain Environment.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Scalable explicit path control in software-defined networks.
J. Netw. Comput. Appl., 2019

Customizable network update planning in SDN.
J. Netw. Comput. Appl., 2019

Low Complexity Hierarchical Scheduling for Diverse Datacenter Jobs.
IEEE Commun. Lett., 2019

Flow-aware explicit congestion notification for datacenter networks.
Clust. Comput., 2019

Simplifying Flow Updates in Software-Defined Networks Using Atoman.
IEEE Access, 2019

DaRTree: deadline-aware multicast transfers in reconfigurable wide-area networks.
Proceedings of the International Symposium on Quality of Service, 2019

2018
Online Deadline-Aware Bulk Transfer Over Inter-Datacenter WANs.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Deadline-Guaranteed Point-to-Multipoint Bulk Transfers in Inter-Datacenter Networks.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

A Multi-model Fusion Framework based on Deep Learning for Sentiment Classification.
Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018

2017
Scalable path provision in software defined networks.
Proceedings of the 2017 IEEE Conference on Computer Communications Workshops, 2017

2016
Scalable Fine-grained Path Control in Software Defined Networks.
CoRR, 2016

Arrange your network updates as you wish.
Proceedings of the 2016 IFIP Networking Conference, 2016

Achieving Fast and Lightweight SDN Updates with Segment Routing.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

2015
Fast lossless traffic migration for SDN updates.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

2011
Predicting wastewater sludge recycle performance based on fuzzy neural network.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2011


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