Titlebook: Emerging Networking Architecture and Technologies; First International Wei Quan Conference proceedings 2023 The Editor(s) (if applicable)

burgeon

书目名称Emerging Networking Architecture and Technologies影响因子(影响力)




书目名称Emerging Networking Architecture and Technologies影响因子(影响力)学科排名




书目名称Emerging Networking Architecture and Technologies网络公开度




书目名称Emerging Networking Architecture and Technologies网络公开度学科排名




书目名称Emerging Networking Architecture and Technologies被引频次




书目名称Emerging Networking Architecture and Technologies被引频次学科排名




书目名称Emerging Networking Architecture and Technologies年度引用




书目名称Emerging Networking Architecture and Technologies年度引用学科排名




书目名称Emerging Networking Architecture and Technologies读者反馈




书目名称Emerging Networking Architecture and Technologies读者反馈学科排名

murmur

债务

Domain-Specific Programming Router Modelhe advantages of simple structure implementation, high performance switching chip, data processor domain language programming, software defined control and so on. It can simplify the development of network services by operators and lay the foundation for the integration of traditional router and swi

强化

SBR-based User Intent Extraction Mechanism for Intent-Based Networkchoose the most suitable network configuration scheme. In this way, the proposed model can ensure the integrity and reliability of user intent extraction. Finally, some commonly used SBR models are evaluated on the Diginetica dataset. The results show that these SBR models have good capabilities in

值得

逃避责任

Detection of SDN Flow Rule Conflicts Based on Knowledge Graphding flow rules, then set up production rules according to the definition of flow rule conflicts with conflicts in one table and conflicts among multiple tables. The production rules are easy to read and modify. The result shows that the conflicts can be detected correctly with a clear reasoning pro

逃避责任

Network Traffic Identification Method Based on Temporal and Multi-scale Spatial Fusionto extract network traffic features with problems such as a single feature scale and insufficient information extraction. This paper presents a method based on spatiotemporal fusion about network traffic identification. The model uses ResNet to obtain the spatial features of original traffic at firs

interpose

Multi-agent Deep Reinforcement Learning-Based Content Caching in Cache-Enabled Networksions have demonstrated the superior performance of the proposed algorithm in reducing the content transmission cost compared to existing caching algorithms, as well as its compatibility with variable and dynamic network environments.

Biomarker

Performance Evaluation of Transmission Protocols Based on Satellite Networks Therefore, the transmission protocol needs to be improved and optimized for the satellite network environment to make full use of the link. This paper first introduces the different variants of the TCP protocol, and then introduces the current new network protocol QUIC, finally uses NS-3 network em

消瘦

Optimizing Communication Topology for Collaborative Learning Across Datacenterser performance, it jointly optimizes the parameter assignment among aggregators and the construction of aggregation trees. We formulate this optimization problem as a mixed-integer nonlinear programming model and develop efficient algorithms to find satisfactory communication topologies in reasonabl