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What are the Types of network traffic? 


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Different types of network traffic include encrypted and non-encrypted traffic, as well as traffic related to specific applications. Traffic can be classified based on characteristics such as burstiness, correlation, and average data rate, with some sources better represented by self-similar traffic models. Additionally, network operators need to be aware of various connected device types in the network, including IoT devices, mobile phones, and PCs, for better network design and management. The proposed methods for classifying device types in the network involve analyzing traffic behavior using machine learning and deep learning techniques, without accessing traffic contents, to classify devices into general types and specific IoT device types. This comprehensive understanding of network traffic types is crucial for effective network management, service delivery, and traffic routing.

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Types of network traffic include IoT devices, mobile phones, and PCs. The paper proposes a method to classify device types based on traffic behavior for improved network design and management.
Types of network traffic in the Network Type Intersection Traffic System include staggered arch bridges and unidirectional arch bridges, enabling smooth vehicle flow without traffic lights, allowing straight, left, right, and U-turns.
Book ChapterDOI
01 Jan 2015
2 Citations
Types of network traffic include voice traffic modeled by on-off source or MMPP, VBR video and Ethernet traffic modeled by self-similar models, characterized by burstiness, correlation, and long-range dependence.
Patent
Zhang Xiaohua, Zhang Yidong, Zhang Yuwen 
03 May 2017
5 Citations
Types of network traffic in the traffic network system include main conveyor system, transfer system, and discrepancy system, each operating in closed annular perpetual motion for efficient transportation.
Types of network traffic include encrypted and non-encrypted traffic, as well as classification based on target applications. The study focuses on classifying encrypted traffic using boosting learning algorithms.

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