Early Flow Table Eviction Impact on Delay and Throughput in Software-Defined Networks-Reference-Cited by-同舟云学术

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Early Flow Table Eviction Impact on Delay and Throughput in Software-Defined Networks

Published:2021-08-27 Issue: Volume: Page:
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Container-title:2021 11th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)
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Author:

Humayun Usman,Hamdan Mosab,Marsono M. N.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9530732/9530743/09530933.pdf?arnumber=9530933

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Flow-based Service Time optimization in software-defined networks using Deep Reinforcement Learning;Computer Communications;2024-02

2. A novel eviction policy based on shortest remaining time for software defined networking flow tables;International Journal of Network Management;2023-12-21

3. Performance Evaluation of Flowtable Eviction Mechanisms for Software Defined Networks considering Traffic Flows variabilities;2022 IEEE 12th Symposium on Computer Applications & Industrial Electronics (ISCAIE);2022-05-21

4. Dynamic Routing and Failure Recovery Approaches for Efficient Resource Utilization in OpenFlow-SDN: A Survey;IEEE Access;2022

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