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Deep learning for load balancing of SDN‐based data center networks
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4757-3264-1openalex-snapshot
The Nature of Statistical Learning Theory
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Energy Saving and Load Balancing for SDN Based on Multi-objective Particle Swarm Optimization
inferredcites →https://doi.org/10.1016/b978-0-12-816514-0.00014-xopenalex-snapshot
Probabilistic neural networks
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Mininet: an instant virtual network on your computer
inferredcites →https://doi.org/10.1016/j.comnet.2016.06.010openalex-snapshot
5G roadmap: 10 key enabling technologies
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Load-balancing algorithms in cloud computing: A survey
inferredcites →https://doi.org/10.1109/access.2018.2805842openalex-snapshot
Load Balancing Mechanisms in the Software Defined Networks: A Systematic and Comprehensive Review of the Literature
inferredcites →https://doi.org/10.1109/access.2018.2807385openalex-snapshot
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
inferredcites →https://doi.org/10.1109/access.2019.2929651openalex-snapshot
On Load Balancing via Switch Migration in Software-Defined Networking
inferredcites →https://doi.org/10.1109/access.2020.3009733openalex-snapshot
An Evolutionary SVM Model for DDOS Attack Detection in Software Defined Networks
inferredcites →https://doi.org/10.1109/ccbd.2016.050openalex-snapshot
An ACO-based Link Load-Balancing Algorithm in SDN
inferredcites →https://doi.org/10.1109/cce.2012.6315905openalex-snapshot
Enabling experiments for energy-efficient data center networks on OpenFlow-based platform
inferredcites →https://doi.org/10.1109/comst.2017.2707140openalex-snapshot
State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systems
inferredcites →https://doi.org/10.1109/comst.2018.2816042openalex-snapshot
Load Balancing in Data Center Networks: A Survey
inferredcites →https://doi.org/10.1109/comst.2018.2846401openalex-snapshot
Deep Learning for Intelligent Wireless Networks: A Comprehensive Survey
inferredcites →https://doi.org/10.1109/comst.2019.2904897openalex-snapshot
Deep Learning in Mobile and Wireless Networking: A Survey
inferredcites →https://doi.org/10.1109/glocomw.2010.5700387openalex-snapshot
In-packet Bloom filter based data center networking with distributed OpenFlow controllers
inferredcites →https://doi.org/10.1109/honet.2017.8102206openalex-snapshot
Benefits of SDN for Big data applications
inferredcites →https://doi.org/10.1109/ismsit.2018.8567070openalex-snapshot
Load Balancing on Software Defined Networks
inferredcites →https://doi.org/10.1109/jsyst.2019.2894689openalex-snapshot
Hierarchical Edge-Cloud SDN Controller System With Optimal Adaptive Resource Allocation for Load-Balancing
inferredcites →https://doi.org/10.1109/lnet.2020.3005902openalex-snapshot
DCLab: A Reconfigurable SDN Testbed for Datacenter Networks
inferredcites →https://doi.org/10.1109/mercon.2018.8421895openalex-snapshot
Q-learning Approach for Load-balancing in Software Defined Networks
inferredcites →https://doi.org/10.1109/nigercon.2017.8281872openalex-snapshot
A performance analysis of logistic regression and support vector machine classifiers for spoof fingerprint detection
inferredcites →https://doi.org/10.1109/siu.2015.7130128openalex-snapshot
Exploring the effects of monitoring and flow-rule timeout durations on load balancing in software defined networks
inferredcites →https://doi.org/10.1109/tmag.2013.2254703openalex-snapshot
A Loss-Free Multipathing Solution for Data Center Network Using Software-Defined Networking Approach
inferredcites →https://doi.org/10.1109/tnnls.2018.2790388openalex-snapshot
Applications of Deep Learning and Reinforcement Learning to Biological Data
inferredcites →https://doi.org/10.1109/tnnls.2020.2979670openalex-snapshot
A Survey of the Usages of Deep Learning for Natural Language Processing
inferredcites →https://doi.org/10.1109/tnsm.2018.2872054openalex-snapshot
An Efficient Route Management Framework for Load Balance and Overhead Reduction in SDN-Based Data Center Networks
inferredcites →https://doi.org/10.1109/tnsm.2019.2953621openalex-snapshot
Improving End-Users Utility in Software-Defined Wide Area Network Systems
inferredcites →https://doi.org/10.3390/s19020311openalex-snapshot
Dynamic Load Balancing of Software-Defined Networking Based on Genetic-Ant Colony Optimization
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/dac.5077openalex-snapshot
An enhanced HFPA‐IHS‐ORP‐based optimization mechanism for efficient bandwidth allocation in software‐defined networks
inferred← citeshttps://doi.org/10.1007/s11227-022-04348-zopenalex-snapshot
Intelligent routing using convolutional neural network in software-defined data center network
inferred← citeshttps://doi.org/10.1007/s13198-023-02217-3openalex-snapshot
A systematic literature review on soft computing techniques in cloud load balancing network
inferred← citeshttps://doi.org/10.1016/j.comcom.2025.108222openalex-snapshot
AIRSDN: AI based routing in software-defined networks for multimedia traffic transmission
inferred← citeshttps://doi.org/10.1016/j.comnet.2025.111412openalex-snapshot
A systematic and comprehensive survey of load balancing techniques in Software Defined Network based Internet of Things
inferred← citeshttps://doi.org/10.1016/j.cosrev.2025.100749openalex-snapshot
Traffic load balancing in data center networks: A comprehensive survey
inferred← citeshttps://doi.org/10.1016/j.iot.2023.100814openalex-snapshot
Artificial intelligence based load balancing in SDN: A comprehensive survey
inferred← citeshttps://doi.org/10.1016/j.jnca.2022.103481openalex-snapshot
Modeling and optimization of the data plane in the SDN-based DCN by queuing theory
inferred← citeshttps://doi.org/10.1016/j.jnca.2023.103639openalex-snapshot
RSCAT: Towards zero touch congestion control based on actor–critic reinforcement learning and software-defined networking
inferred← citeshttps://doi.org/10.1080/03772063.2025.2472227openalex-snapshot
Energy-Aware Elastic Multi Controller Based SDN Control Plane for Efficient Load Balancing
inferred← citeshttps://doi.org/10.1109/access.2021.3099092openalex-snapshot
A Survey on Machine Learning Techniques for Routing Optimization in SDN
inferred← citeshttps://doi.org/10.1109/access.2025.3593523openalex-snapshot
Optimization and Management of Data Center Networks: A Scoping Review on Key Themes, Challenges, and Artificial Intelligence and Machine Learning Approaches
inferred← citeshttps://doi.org/10.1109/aimla63829.2025.11040408openalex-snapshot
Optimization, and Future Prospects of Live Virtual Machine Migration in Cloud Computing: A Comprehensive Survey on Techniques, Challenges, and Emerging Directions
inferred← citeshttps://doi.org/10.1109/icdcs60910.2024.00096openalex-snapshot
BCLB: A Scalable and Cooperative Layer-4 Load Balancer for Data Centers
inferred← citeshttps://doi.org/10.1109/iconnic59854.2023.10467319openalex-snapshot
Towards Optimal Efficiencies in Software Defined Network SDN-Edge Cloud: Performance Evaluation of Load Balancing Algorithms
inferred← citeshttps://doi.org/10.1109/icseti67678.2026.11637083openalex-snapshot
DynamiQoS: Software Designed Networking with ML Based Load Balancer
inferred← citeshttps://doi.org/10.1109/tnsm.2024.3486379openalex-snapshot
Predictive Control Plane Balancing in SD-IoT Networks Based on Elitism Genetic Algorithm and Non-Cooperative Game Theory
inferred← citeshttps://doi.org/10.1109/weconf61770.2024.10564664openalex-snapshot
Research and Development of Algorithms for Improving Fault Tolerance in SDN Networks Based on Artificial Intelligence
inferred← citeshttps://doi.org/10.31854/1813-324x-2022-8-1-73-83openalex-snapshot
Comparative Analysis of Network Resource Management Methods in SDN
inferred← citeshttps://doi.org/10.32441/kjps.10.01.p12openalex-snapshot
Comprehensive Review of Software-Defined Networking and Application of Machine Learning in Load Balancing
inferred← citeshttps://doi.org/10.3390/drones8100528openalex-snapshot
Enhanced Link Prediction and Traffic Load Balancing in Unmanned Aerial Vehicle-Based Cloud-Edge-Local Networks
inferred← citeshttps://doi.org/10.35377/saucis...1599100openalex-snapshot
Load Balancing and Quality of Experience in Software-Defined Networks
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