한국인터넷정보학회 논문지
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| 한글제목(Korean Title) |
Efficient Resource Slicing Scheme for Optimizing Federated Learning Communications in Software-Defined IoT Networks |
| 영문제목(English Title) |
Efficient Resource Slicing Scheme for Optimizing Federated Learning Communications in Software-Defined IoT Networks |
| 저자(Author) |
담프로힘
맛사
김석훈
Prohim Tam
Sa Math
Seokhoon Kim
|
| 원문수록처(Citation) |
VOL 22 NO. 05 PP. 0028 ~ 0033 (2021. 10) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
With the broad adoption of the Internet of Things (IoT) in a variety of scenarios and application services, management and orchestration entities require upgrading the traditional architecture and develop intelligent models with ultra-reliable methods. In a heterogeneous network environment, mission-critical IoT applications are significant to consider. With erroneous priorities and high failure rates, catastrophic losses in terms of human lives, great business assets, and privacy leakage will occur in emergent scenarios. In this paper, an efficient resource slicing scheme for optimizing federated learning in software-defined IoT (SDIoT) is proposed. The decentralized support vector regression (SVR) based controllers predict the IoT slices via packet inspection data during peak hour central congestion to achieve a time-sensitive condition. In off-peak hour intervals, a centralized deep neural networks (DNN) model is used within computation-intensive aspects on fine-grained slicing and remodified decentralized controller outputs. With known slice and prioritization, federated learning communications iteratively process through the adjusted resources by virtual network functions forwarding graph (VNFFG) descriptor set up in software-defined networking (SDN) and network functions virtualization (NFV) enabled architecture. To demonstrate the theoretical approach, Mininet emulator was conducted to evaluate between reference and proposed schemes by capturing the key Quality of Service (QoS) performance metrics. |
| 키워드(Keyword) |
Deep Learning
Federated Learning
Internet of Things
Network Functions Virtualization
Software-Defined Networking
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| 파일첨부 |
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