基於數位分身實現網路頻寬管理的效能分析;Performance Analysis of Network Bandwidth Management Based on Digital Twin Implementation

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題名:	基於數位分身實現網路頻寬管理的效能分析;Performance Analysis of Network Bandwidth Management Based on Digital Twin Implementation
作者:	吳岱安;Wu, Tai-An
貢獻者:	通訊工程學系
關鍵詞:	數位分身;網路頻寬管理;實時網路網路監控;Digital Twin;Network Bandwidth Management;Real-Time Network Monitoring
日期:	2025-07-01
上傳時間:	2025-10-17 12:19:48 (UTC+8)
出版者:	國立中央大學
摘要:	數位分身(DT, Digital Twin)作為新興的模擬技術，可以藉由創建物理實體的數位分身，讓使用者可以在不影響物理實體的情況下，實時的在虛擬環境中進行多樣化的模擬以及分析。此技術可以降低實驗成本，更能透過視覺化介面去達到系統的監控以及管理。近年來漸漸地出現在大眾的視野中，除了常見的工業及醫療外，也可以在電信服務以及自駕車等領域利用數位分身技術來提升操作效率並保障安全性。網路頻寬管理技術包含像是根據流量類型、QoS(Quality of Service)甚至是應用服務需求進行佈署與管理，電信業者可以針對不同應用服務提供使用者專屬的網路頻寬通道，可以有效地隔離來自不同應用的流量，也能夠提升用戶使用的網路效能，並保障高優先的流量不受影響。透過有效的頻寬管理，讓不同服務流量不受干擾。本論文中，研究數位分身技術以及網路頻寬管理技術在虛擬網路拓樸上進行實驗以及模擬，透過實體的網路流量同步至一台用於做數位分身的虛擬機(Virtual Machine, VM)並在虛擬機中生成網路流量，再藉由網路頻寬的配置來模擬分析其網路傳輸狀態。物理實體網路傳輸流量至虛擬機的Mininet Host中，並在虛擬機主機上的Open vSwitch上使用Scapy工具捕捉ICMP(Internet Control Message Protocol)的流量並過濾來源和目的地地址，將上述之數據轉換成JSON(JavaScript Object Notation)格式，透過Socket技術將數據傳輸至數位分身的VM中。當數位分身的VM接收到數據後會在其虛擬拓樸上同步這些流量，在數位分身的環境中不僅可以同步物理實體網路流量，同時也能夠增加Host以及配置異常流量的封包大小以及封包數，以進行更複雜的網路流量模擬。同步開始前先選擇網路切片的配置方式，並在同步過程中在監控台監控實體網路流量以及數位分身中不同網路切片配置下網路傳輸的效能數據。使用者可以將實體的網路傳輸流量在虛擬環境中同步，並且根據自身的模擬情境需求生成流量以及配置不同的頻寬管理策略，在模擬過程中比對在不同切片策略下網路效能的差異。利用物理實體傳輸流量進行網路模擬分析，不僅更貼近於現實的傳輸狀態並應用於生活中，也可以有效地管理網路的狀態，針對模擬的情境制定出因應措施，不僅對於物理實體網路的影響大幅減少，更能夠根據模擬結果選擇對整體網路效能最好的配置方案，提升用戶的體驗。 ;Digital Twin (DT) technology, as an emerging simulation technique, enables users to create a digital replica of a physical entity, allowing for diverse simulations and analyses in a virtual environment without impacting the physical system. This technology can reduce experimental costs and provides a visualized interface for real-time system monitoring and management. In recent years, it has gradually gained public attention—not only in common applications such as industry and healthcare, but also in fields like telecommunications and autonomous vehicles, where it enhances operational efficiency and ensures safety. Network bandwidth management techniques include deployment and control based on traffic types, Quality of Service (QoS), and application-specific demands. Telecom providers can allocate dedicated network bandwidth channels for different applications, effectively isolating traffic from various sources, enhancing overall network performance, and ensuring that high-priority traffic remains unaffected. With effective bandwidth management, different service flows can operate without interference. In this thesis, Digital Twin technology and network bandwidth management techniques are studied and experimented within a virtual network topology. Real-world network traffic is synchronized to a virtual machine (VM) acting as the Digital Twin, where the traffic is replicated. Bandwidth configurations are then applied to simulate and analyze network transmission conditions. The physical network traffic is transmitted to a Mininet host on the VM, where the Scapy tool on the VM′s Open vSwitch captures Internet Control Message Protocol(ICMP) traffic, filters by source and destination addresses, and converts the data into JavaScript Object (JSON ) format. This data is then transmitted via Socket technology to the Digital Twin VM. Once the Digital Twin VM receives the data, it synchronizes this traffic onto its virtual topology. In this environment, not only can real-world network traffic be mirrored, but hosts and abnormal traffic—such as modified packet sizes and packet counts—can also be added for more complex traffic simulation. Before synchronization, a network slicing configuration method is selected. During the synchronization process, both the physical network traffic and the performance metrics under different slicing strategies are monitored in real time. Users can synchronize physical network traffic into a virtual environment and, based on specific simulation scenarios, generate traffic and apply various bandwidth management strategies. By comparing network performance under different slicing strategies, the simulation provides insights closely aligned with real-world conditions. This approach not only minimizes the impact on physical networks but also enables the selection of optimal configurations based on simulation results, thereby improving overall network performance and enhancing user experience.
顯示於類別:	[通訊工程研究所] 博碩士論文

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