Eunil Seo
Orcid: 0000-0003-2514-3043
According to our database1,
Eunil Seo
authored at least 16 papers
between 2017 and 2025.
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Bibliography
2025
LA-IMR: Latency-Aware, Predictive In-Memory Routing and Proactive Autoscaling for Tail-Latency-Sensitive Cloud Robotics.
CoRR, May, 2025
Pioneering Eco-Efficiency in Cloud Computing: The Carbon-Conscious Federated Reinforcement Learning (CCFRL) Approach.
IEEE Internet Things J., April, 2025
tinyKube: A Middleware for Dynamic Resource Management in Cloud-Edge Platforms for Large-Scale Cloud Robotics.
Proceedings of the NOMS 2025 IEEE Network Operations and Management Symposium, 2025
2023
An ICN-Based Data Marketplace Model Based on a Game Theoretic Approach Using Quality-Data Discovery and Profit Optimization.
IEEE Trans. Cloud Comput., 2023
IEEE Access, 2023
Proceedings of the International Conference on Information Networking, 2023
2022
Resource-Efficient Federated Learning With Non-IID Data: An Auction Theoretic Approach.
IEEE Internet Things J., 2022
2021
Auction-based Federated Learning using Software-defined Networking for resource efficiency.
Proceedings of the 17th International Conference on Network and Service Management, 2021
2020
J. Commun., 2020
2019
Mathematical Modeling of the Scalable LISP-deployed Software-Defined Wireless Network.
J. Commun., 2019
Profiling-Based Classification Algorithms for Security Applications in Internet of Things.
Proceedings of the 2019 IEEE International Congress on Internet of Things, 2019
Proceedings of the Future Data and Security Engineering - 6th International Conference, 2019
2018
The Scalable LISP-Deployed Software-Defined Wireless Network (LISP-SDWN) for a Next Generation Wireless Network.
IEEE Access, 2018
2017
Leveraging Software-Defined Wireless Network (SDWN) by Locator/Identifier Split Scheme for Mobility Management.
J. Commun., 2017
Design of the Central LISP Management System for the Software-Defined Wireless Network (SDWN).
Proceedings of the 15th ACM International Symposium on Mobility Management and Wireless Access, 2017
ProFiOt: Abnormal Behavior Profiling (ABP) of IoT devices based on a machine learning approach.
Proceedings of the 27th International Telecommunication Networks and Applications Conference, 2017