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A Survey on Software Defined Network-Enabled Edge Cloud Networks: Challenges and Future Research Directions
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Outgoing claims: the papers this work cites, builds on, or argues with.
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P4-to-blockchain: A secure blockchain-enabled packet parser for software defined networking
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Deep reinforcement learning based controller placement and optimal edge selection in SDN-based multi-access edge computing environments
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End-Edge-Cloud Collaborative Computing for Deep Learning: A Comprehensive Survey
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Reinforcement Learning for Task Placement in Collaborative Cloud- Edge Computing
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Towards Optimal Efficiencies in Software Defined Network SDN-Edge Cloud: Performance Evaluation of Load Balancing Algorithms
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HomeCloud: An edge cloud framework and testbed for new application delivery
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Future Edge Cloud and Edge Computing for Internet of Things Applications
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Multiuser Computation Offloading and Resource Allocation for Cloud–Edge Heterogeneous Network
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Hierarchical Edge-Cloud SDN Controller System With Optimal Adaptive Resource Allocation for Load-Balancing
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Real-Time Video Analytics: The Killer App for Edge Computing
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Convergence of Networking and Cloud/Edge Computing: Status, Challenges, and Opportunities
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Machine Learning for Survival Analysis
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P3GNN: A Privacy-Preserving Provenance Graph-Based Model for Autonomous APT Detection in Software Defined Networking
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Deep Reinforcement Learning techniques for dynamic task offloading in the 5G edge-cloud continuum
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(How Much) Can Edge Computing Change Network Latency?
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Low Rate DDoS Detection Using Weighted Federated Learning in SDN Control Plane in IoT Network
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Role of the Internet of Things (IoT) Applications in Business and Marketing
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Mobile edge cloud architecture for future low-latency applications
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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New productivity enhancement mechanism of digital twin platform for rural industrial clusters empowered by 6G edge computing
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inferred← citeshttps://doi.org/10.1109/icoeca68095.2026.11485580openalex-snapshot
Dynamic Resource Allocation for Software-Defined Networks using Predictive Analytics in Multi-Cloud Deployments
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inferred← citeshttps://doi.org/10.1109/jiot.2026.3654565openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tqcebt67648.2026.11681459openalex-snapshot
Optimization and Network Efficiency Framework for Intelligent Workload Partitioning in Edge Computing – Cloud Computing Ecosystems
inferred← citeshttps://doi.org/10.1145/3801359.3801395openalex-snapshot
Load Balancing for Distributed Software-Defined Networking for Internet of Things Based on Dynamic Binary Consistent Hash Algorithm
inferred← citeshttps://doi.org/10.1186/s13677-026-00870-0openalex-snapshot
Large model–driven edge-cloud collaboration for next-gen animation systems
inferred← citeshttps://doi.org/10.3390/app152312703openalex-snapshot
Automatic Hidden Elastic Optical Bypasses in Multi-Layer Networks
inferred← citeshttps://doi.org/10.3390/electronics14153044openalex-snapshot
Network-Aware Gaussian Mixture Models for Multi-Objective SD-WAN Controller Placement
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Toward Secure SDN Infrastructure in Smart Cities: Kafka-Enabled Machine Learning Framework for Anomaly Detection
inferred← citeshttps://doi.org/10.3390/network6030062openalex-snapshot
Lightweight Rescaled Range R/S-Based Real-Time DDoS Detection for Software-Defined Networks
inferred← citeshttps://doi.org/10.3390/s26030799openalex-snapshot
A Survey on the Computing Continuum and Meta-Operating Systems: Perspectives, Architectures, Outcomes, and Open Challenges
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