WO2022247462A1 - 数字孪生网络的流量模拟方法及数字孪生网络 - Google Patents

数字孪生网络的流量模拟方法及数字孪生网络 Download PDF

Info

Publication number
WO2022247462A1
WO2022247462A1 PCT/CN2022/084875 CN2022084875W WO2022247462A1 WO 2022247462 A1 WO2022247462 A1 WO 2022247462A1 CN 2022084875 W CN2022084875 W CN 2022084875W WO 2022247462 A1 WO2022247462 A1 WO 2022247462A1
Authority
WO
WIPO (PCT)
Prior art keywords
twin
network element
physical network
traffic
management unit
Prior art date
Application number
PCT/CN2022/084875
Other languages
English (en)
French (fr)
Inventor
杨红伟
Original Assignee
中国移动通信有限公司研究院
中国移动通信集团有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 中国移动通信有限公司研究院, 中国移动通信集团有限公司 filed Critical 中国移动通信有限公司研究院
Publication of WO2022247462A1 publication Critical patent/WO2022247462A1/zh

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14—Network analysis or design
    • H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/54—Interprogram communication
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14—Network analysis or design
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H04L67/1095—Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]

Definitions

  • the present application relates to the field of communication technology, in particular to a traffic simulation method of a digital twin network and a digital twin network.
  • the definition of digital twin network is: a network system with physical network entities and virtual twins, and the two can be interactively mapped in real time.
  • various network management and applications can efficiently analyze, diagnose, simulate and control the physical network using the digital twin network.
  • the digital twin network includes: physical network layer and twin network layer.
  • the twin network layer completes the virtual mapping of the physical network layer, that is, each physical network element in the physical network layer has a corresponding twin network element in the twin network layer.
  • Information such as network element connection relationships, traffic data, and network element status data in the physical network layer will have a virtual mapping on the twin network layer.
  • the physical network and the twin network are mapped to each other, and data is exchanged in real time. Among them, the topology of the physical network and the twin network are the same, and the number of network elements is the same.
  • the digital twin network can be used for network new technology innovation verification, network precise planning, network intelligent operation and maintenance, network life cycle management and other functions, and is an important technical direction of the future network.
  • Important application scenarios of the digital twin network such as network new technology innovation verification, network low-cost trial and error, network intelligent operation and maintenance, etc., all require twin networks to accurately simulate physical network traffic and generate twin traffic.
  • research on digital twin networks is still in its infancy, and there is no solution for how twin networks can simulate traffic on physical networks.
  • the purpose of the present application is to provide a traffic simulation method of a digital twin network and a digital twin network, so as to solve the problem in the prior art that the twin network cannot realize the traffic simulation of a physical network.
  • this application provides a traffic simulation method for a digital twin network, which is applied to a digital twin network.
  • the digital twin network includes: a physical network and a twin network, and each physical network element of the physical network is in the twin The network is provided with a corresponding twin network element; the twin network also includes a twin data management unit, and the method includes:
  • the twin data management unit collects a data set of a physical network element, and the data set includes: first traffic information, a physical network element identifier and a traffic sampling rate; wherein, the time between the twin data management unit and the physical network element is Latency deterministic network;
  • the twin data management unit sends the data set to the twin network element corresponding to the physical network element identifier according to the reference transmission time;
  • the twin network element generates twin traffic according to the data set.
  • the method also includes:
  • the twin data management unit determines the transmission time of the traffic information of each physical network element to the twin data management unit
  • the twin data management unit selects the maximum transmission time as the reference transmission time.
  • the twin data management unit sends the data set to the twin network element corresponding to the physical network element identifier according to the reference transmission time, including:
  • the twin data management unit receives the data set and waits for a second time to transfer the data
  • the set is sent to the twin network element corresponding to the physical network element identifier; wherein, the second time is equal to the difference between the reference transmission time and the first transmission time;
  • the twin data management unit When the first transmission time from the data set of the physical network element to the twin data management unit is equal to the reference transmission time, the twin data management unit sends the data set to the twin data management unit after receiving the data set The twin network element corresponding to the above physical network element identifier.
  • the data set also includes at least one of the following:
  • the physical network element identifier is the MAC address of the physical network element
  • the identifier of the twin network element corresponding to the identifier of the physical network element includes: the MAC address of the physical network element and the identifier of the twin network element.
  • twin data management unit collects data sets of physical network elements, including:
  • the twin data management unit collects the actual traffic of the physical network element by packet-by-packet or sampling to obtain the first traffic information
  • the twin data management unit generates a data set including the first traffic information, the physical network element identifier and the traffic sampling rate.
  • twin network element when the twin data management unit obtains the first traffic information by sampling, the twin network element generates twin traffic according to the data set, including:
  • the twin network element calculates the actual traffic rate and packet loss rate of the physical network element according to the traffic sampling rate in the data set;
  • the embodiment of the present application also provides a digital twin network, the digital twin network includes: a physical network and a twin network, each physical network element of the physical network is provided with a corresponding twin network element in the twin network; the The twin network also includes a twin data management unit, the twin data management unit includes a processor and a transceiver, the transceiver receives and sends data under the control of the processor, and the processor is used to perform the following operations:
  • Collecting a data set of a physical network element including: first flow information, physical network element identification and flow sampling rate; wherein, a time-delay deterministic network is used between the twin data management unit and the physical network element ;
  • the twin network element further includes a processor, configured to perform the following operation: generate twin traffic according to the data set.
  • processor is also configured to perform the following operations:
  • the maximum transmission time is selected as the reference transmission time.
  • processor is also configured to perform the following operations:
  • the twin data management unit When the first transmission time from the data set of the physical network element to the twin data management unit is less than the reference transmission time, after receiving the data set and waiting for a second time, send the data set to the physical network element A twin network element corresponding to the network element identifier; wherein, the second time is equal to the difference between the reference transmission time and the first transmission time;
  • the twin data management unit After receiving the data set, send the data set to the physical network element identifier corresponding twin network element.
  • the data set also includes at least one of the following:
  • the physical network element identifier is the MAC address of the physical network element
  • the identifier of the twin network element corresponding to the identifier of the physical network element includes: the MAC address of the physical network element and the identifier of the twin network element.
  • processor is also configured to perform the following operations:
  • the actual flow of the physical network element is collected packet by packet or sampled to obtain the first flow information
  • processor of the twin network element is also configured to perform the following operations:
  • twin data management unit obtains the first flow information by sampling, calculate the actual flow rate and packet loss rate of the physical network element according to the flow sampling rate in the data set;
  • the embodiment of the present application also provides a digital twin network, including a memory, a processor, and a program stored on the memory and operable on the processor.
  • a digital twin network including a memory, a processor, and a program stored on the memory and operable on the processor.
  • the processor executes the program, the above-mentioned A Traffic Simulation Approach for Digital Twin Networks.
  • the embodiment of the present application also provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps in the traffic simulation method for a digital twin network as described above are implemented.
  • the twin data management unit collects a data set including traffic information, physical network element identification and traffic sampling rate, and sends the data set to the The physical network element identifies the corresponding twin network element, and the twin network element generates twin traffic that is delayed by the reference transmission time relative to the actual traffic as a whole according to the data set, so as to realize the actual traffic of the physical network element and the twin traffic of the twin network element accurate simulation.
  • Figure 1 shows a schematic diagram of the structure of the digital twin network
  • Fig. 2 represents the flow chart of the steps of the traffic simulation method of the digital twin network provided by the embodiment of the present application;
  • FIG. 3 shows a schematic diagram of the principle of the digital twin network corresponding to the traffic simulation method provided in the embodiment of the present application
  • Fig. 4 represents the example diagram of the traffic simulation method of the digital twin network provided by the embodiment of the present application.
  • Fig. 5 shows a schematic structural diagram of the digital twin network provided by the embodiment of the present application.
  • the traffic forwarding status is consistent, that is, the two have the same forwarding delay, packet loss, jitter, etc.;
  • the traffic characteristics are consistent, that is, the two data packets have the same traffic rate, quintuple, packet length, priority, etc.
  • the twin network element does not require the traffic forwarding function, but can be a virtual network element that only supports the storage function. Therefore, the twin network element only stores the current traffic state in the twin network element, and does not require the forwarding behavior.
  • the embodiment of the present application provides a traffic simulation method for a digital twin network, which is applied to a digital twin network.
  • the digital twin network includes: a physical network and a twin network, and each physical network element of the physical network is in The twin network is provided with a corresponding twin network element; the twin network also includes a twin data management unit, and the method includes:
  • Step 201 the twin data management unit collects a data set of a physical network element, the data set includes: first traffic information, a physical network element identifier and a traffic sampling rate; wherein, the twin data management unit and the physical network element Time delay deterministic network is adopted;
  • Step 202 the twin data management unit sends the data set to the twin network element corresponding to the physical network element identifier according to the reference transmission time;
  • Step 203 the twin network element generates twin traffic according to the data set.
  • the twin data management unit and the twin network element are in the same local area network or the same physical entity (such as a server), so the transmission delay between the twin data management unit and the twin network element can be ignored.
  • the physical network elements of the physical network and the twin network elements of the twin network have unique identifiers in the entire network, so as to realize the mutual correspondence between the physical network elements and the twin network elements, and the traffic of the physical network passes through those physical network elements and is twinned on the twin network The traffic also passes through the same twin network element, so that the forwarding path is consistent;
  • the traffic data of the physical network is uniformly collected and managed by the twin data management unit, and then distributed to each twin network element.
  • the embodiment of this application proposes to delay the twin traffic for a fixed time (that is, the benchmark transmission time) to simulate real traffic.
  • the data set collected by the twin data management unit should include the key information of the real traffic of the physical network, so that the twin traffic of the twin network is consistent with the real traffic characteristics.
  • the physical network element identification is the MAC address of the physical network element; the identification of the twin network element corresponding to the physical network element identification includes: the MAC address of the physical network element and the identification of the twin network element.
  • each physical network element is preset with a system MAC address when the device leaves the factory, because the MAC address is unique on the entire network and can be used as an identification of the physical network element.
  • the twin network element is based on the MAC address of the physical network element system and expands some fields as its unique identifier.
  • One implementation scheme is:
  • twin network element identification the total length is 56 bits, of which the first 48 bits are the MAC address of the corresponding physical network element system, and the latter 8 bits can be customized by users, for example, to identify the type of equipment; the twin network element is identified based on the physical network element MAC address, It not only realizes the one-to-one correspondence between the physical network element and the twin network element, but also realizes the uniqueness of the twin network element identification in the whole network.
  • the data transmission channel between the physical network element and the twin data management unit uses a time-deterministic network, such as TSN (Time Sensitive Network, time-sensitive network), DIP (Deterministic Internet Network, deterministic network), etc. Due to the different data transmission paths from different physical network elements to the twin data management unit, the number of passing network elements is also different, so the delay is also different. Because the delay deterministic network is used, as shown in Figure 3, T1 ⁇ Tn are fixed and can be precomputed.
  • the method also includes:
  • the twin data management unit determines the transmission time of the traffic information of each physical network element to the twin data management unit
  • the twin data management unit selects the maximum transmission time as the reference transmission time.
  • the twin data management unit selects the maximum value Tmax of all time delays as the reference time after calculating the values of T1 to Tn.
  • step 202 includes:
  • the twin data management unit receives the data set and waits for a second time to transfer the data
  • the set is sent to the twin network element corresponding to the physical network element identifier; wherein, the second time is equal to the difference between the reference transmission time and the first transmission time;
  • the twin data management unit When the first transmission time from the data set of the physical network element to the twin data management unit is equal to the reference transmission time, the twin data management unit sends the data set to the twin data management unit after receiving the data set The twin network element corresponding to the above physical network element identifier.
  • twin data management unit waits for (Tmax-Tn) time and then transmits the data to the twin
  • the data set collected by the twin data management unit should include key information of real traffic, such as physical network element identification and traffic sampling rate. According to application requirements, the data set also includes at least one of the following:
  • step 201 includes:
  • the twin data management unit collects the actual traffic of the physical network element by packet-by-packet or sampling to obtain the first traffic information
  • the twin data management unit generates a data set including the first traffic information, the physical network element identifier and the traffic sampling rate.
  • the twin data management unit has two methods for collecting physical network traffic:
  • Packet-by-packet collection The twin traffic of the twin network and the actual traffic of the physical network have the same traffic rate and packet loss rate.
  • Sampling collection Collection is based on a certain sampling rate, and twin traffic is calculated to estimate the rate and packet loss rate of real traffic. For example, the actual traffic is 100Mbps, and the traffic sampling rate is 1%, then the twin traffic only needs to collect 1Mbps, and then multiply by 100 to get the real traffic rate and packet loss rate.
  • step 203 includes:
  • the twin network element calculates the actual traffic rate and packet loss rate of the physical network element according to the traffic sampling rate in the data set;
  • the high-precision simulation of the real traffic of the physical network element and the twin traffic of twin network elements is realized, and the real traffic and the twin traffic satisfy the following three conditions at the same time:
  • the traffic forwarding path is consistent and passes through the same network element node
  • the traffic forwarding status is consistent, with the same traffic rate, forwarding delay, packet loss, jitter, etc.;
  • the traffic characteristics are the same, with the same quintuple, packet length, priority, etc.
  • Step 1 Build a digital twin network.
  • the physical network element and the twin network element are in one-to-one correspondence through the unique identifier of the entire network.
  • the number of network elements is consistent with the topology connection;
  • Step 2 the physical network element forms a data set of key traffic information, such as ⁇ physical network element identification, sampling rate, source MAC, destination MAC, protocol type, source IP address, destination IP address ⁇ ;
  • Step 3 the twin data management unit collects the data sets of the traffic information of each physical network element, and calculates the maximum time delay Tmax of the data transmission channel;
  • Step 4 after the twin data management unit collects the data set, it sends the data set to the corresponding twin network element according to the physical network element identifier;
  • Step 5 the twin network element generates twin traffic according to the sampling rate and traffic information of the data set, because the information transmission time between the physical network element and the twin data management unit is fixed at Tmax, and the twin data management unit and the twin network element are in the same In a server or LAN, the transmission delay is negligible, so the traffic of the twin network is equivalent to the mirrored traffic whose actual traffic is delayed by Tmax as a whole.
  • the twin data management unit collects a data set including traffic information, physical network element identification and traffic sampling rate, and sends the data set to the twin network element corresponding to the physical network element identification according to the reference transmission time , the twin network element generates twin traffic whose overall delay of the reference transmission time is relative to the actual traffic according to the data set, so as to realize accurate simulation of the actual traffic of the physical network element and the twin traffic of the twin network element.
  • the embodiment of the present application also provides a digital twin network
  • the digital twin network includes: a physical network and a twin network, and each physical network element of the physical network is provided with a corresponding twin network element;
  • the twin network also includes a twin data management unit, the twin data management unit includes a processor 500 and a transceiver 510, the transceiver 510 receives and sends data under the control of the processor 500, the processing
  • the device 500 is used to perform the following operations:
  • Collecting a data set of a physical network element including: first flow information, physical network element identification and flow sampling rate; wherein, a time-delay deterministic network is used between the twin data management unit and the physical network element ;
  • the twin network element further includes a processor, configured to perform the following operation: generate twin traffic according to the data set.
  • the processor is further configured to perform the following operations:
  • the maximum transmission time is selected as the reference transmission time.
  • the processor is further configured to perform the following operations:
  • the twin data management unit When the first transmission time from the data set of the physical network element to the twin data management unit is less than the reference transmission time, after receiving the data set and waiting for a second time, send the data set to the physical network element A twin network element corresponding to the network element identifier; wherein, the second time is equal to the difference between the reference transmission time and the first transmission time;
  • the twin data management unit After receiving the data set, send the data set to the physical network element identifier corresponding twin network element.
  • the data set also includes at least one of the following:
  • the physical network element identifier is the MAC address of the physical network element
  • the identifier of the twin network element corresponding to the identifier of the physical network element includes: the MAC address of the physical network element and the identifier of the twin network element.
  • the processor is further configured to perform the following operations:
  • the actual flow of the physical network element is collected packet by packet or sampled to obtain the first flow information
  • processor of the twin network element is further configured to perform the following operations:
  • twin data management unit obtains the first flow information by sampling, calculate the actual flow rate and packet loss rate of the physical network element according to the flow sampling rate in the data set;
  • the twin data management unit collects a data set including traffic information, physical network element identifier, and traffic sampling rate, and sends the data set to the twin network element corresponding to the physical network element identifier according to the reference transmission time.
  • the twin network element According to the data set, the twin network element generates the twin traffic whose overall delay of the reference transmission time is relative to the actual traffic, so as to realize the accurate simulation of the actual traffic of the physical network element and the twin traffic of the twin network element.
  • the digital twin network provided by the embodiment of the present application is a digital twin network capable of performing the above traffic simulation method, and all embodiments of the above traffic module method are applicable to the digital twin network, and can achieve the same or similar beneficial effect.
  • the embodiment of the present application also provides a digital twin network, including a memory, a processor, and a computer program stored on the memory and operable on the processor.
  • a digital twin network including a memory, a processor, and a computer program stored on the memory and operable on the processor.
  • the embodiment of the present application also provides a computer-readable storage medium, on which a computer program is stored.
  • a computer program is stored.
  • the program is executed by a processor, each process in the above-mentioned embodiment of the traffic simulation method for a digital twin network is realized, and can achieve The same technical effects are not repeated here to avoid repetition.
  • the computer-readable storage medium is, for example, a read-only memory (Read-Only Memory, ROM for short), a random access memory (Random Access Memory, RAM for short), a magnetic disk or an optical disk, and the like.
  • the embodiments of the present application may be provided as methods, systems or computer program products. Accordingly, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-readable storage media (including but not limited to disk storage, optical storage, etc.) having computer-usable program code embodied therein.
  • These computer program instructions may also be stored in a computer-readable storage medium capable of directing a computer or other programmable data processing apparatus to operate in a specific manner, such that the instructions stored in the computer-readable storage medium produce a paper product comprising instruction means,
  • the instruction means implements the functions specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Software Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

本申请提供一种数字孪生网络的流量模拟方法及数字孪生网络，所述数字孪生网络包括：物理网络和孪生网络，所述物理网络的各个物理网元在所述孪生网络均设置有对应的孪生网元；所述孪生网络还包括孪生数据管理单元，该方法包括：孪生数据管理单元采集物理网元的数据集，所述数据集包括：第一流量信息，物理网元标识和流量采样率；其中，所述孪生数据管理单元与所述物理网元之间采用时延确定性网络；所述孪生数据管理单元根据基准传输时间，将所述数据集发送至所述物理网元标识对应的孪生网元；所述孪生网元根据所述数据集生成孪生流量，能够实现物理网元的实际流量和孪生网元的孪生流量的精确模拟。

Description

数字孪生网络的流量模拟方法及数字孪生网络
相关申请的交叉引用
本申请基于申请号为202110589918.4、申请日为2021年05月28日的中国专利申请提出，并要求该中国专利申请的优先权，该中国专利申请的全部内容在此引入本申请作为参考。
技术领域
本申请涉及通信技术领域，尤其是指一种数字孪生网络的流量模拟方法及数字孪生网络。
背景技术
如图1所示，数字孪生网络的定义为：一个具有物理网络实体及虚拟孪生体，且二者可进行实时交互映射的网络系统。在此系统中，各种网络管理和应用可利用数字孪生网络对物理网络进行高效的分析、诊断、仿真和控制。其中，数字孪生网络包括：物理网络层和孪生网络层。孪生网络层完成了物理网络层的虚拟映射，即物理网络层每一个物理网元在孪生网络层都有对应的孪生网元。物理网络层中的网元连接关系、流量数据、网元状态数据等信息都会在孪生网络层有虚拟映射，物理网络和孪生网络互相映射，数据实时交互。其中，物理网络和孪生网络拓扑一致、网元数量一致。
数字孪生网络可用于网络新技术创新验证、网络精确规划、网络智能运维、网络全生命周期管理等功能，是未来网络的重要技术方向。数字孪生网络重要应用场景，例如网络新技术创新验证、网络低成本试错、网络智能运维等，都需要孪生网络对物理网络流量的精确模拟，生成孪生流量。目前对数字孪生网络的研究仍处于初级阶段，孪生网络如何实现对物理网络的流量模拟尚无解决方案。
发明内容
本申请的目的在于提供一种数字孪生网络的流量模拟方法及数字孪生网络，以解决现有技术中孪生网络无法实现对物理网络的流量模拟的问题。
为了解决上述问题，本申请提供一种数字孪生网络的流量模拟方法，应用于数字孪生网络，所述数字孪生网络包括：物理网络和孪生网络，所述物理网络的各个物理网元在所述孪生网络均设置有对应的孪生网元；所述孪生网络还包括孪生数据管理单元，所述方法包括：
孪生数据管理单元采集物理网元的数据集，所述数据集包括：第一流量信息，物理网元标识和流量采样率；其中，所述孪生数据管理单元与所述物理网元之间采用时延确定性网络；
所述孪生数据管理单元根据基准传输时间，将所述数据集发送至所述物理网元标识对应的孪生网元；
所述孪生网元根据所述数据集生成孪生流量。
其中，所述方法还包括：
所述孪生数据管理单元确定各个物理网元的流量信息到所述孪生数据管理单元的传输时间；
所述孪生数据管理单元选取最大的传输时间作为所述基准传输时间。
其中，所述孪生数据管理单元根据基准传输时间，将所述数据集发送至所述物理网元标识对应的孪生网元，包括：
在物理网元的数据集到所述孪生数据管理单元的第一传输时间小于所述基准传输时间的情况下，所述孪生数据管理单元接收到所述数据集等待第二时间后将所述数据集发送至所述物理网元标识对应的孪生网元；其中，所述第二时间等于所述基准传输时间与所述第一传输时间之差；
或者，
在物理网元的数据集到所述孪生数据管理单元的第一传输时间等于所述基准传输时间的情况下，所述孪生数据管理单元接收到所述数据集后将所述数据集发送至所述物理网元标识对应的孪生网元。
其中，所述数据集还包括下述至少一项：
源MAC地址；目的MAC地址；协议类型；源IP地址；目的IP地址；协议号；源端口号；目的端口号；报文优先级；报文长度；报文转发时延。
其中，所述物理网元标识为所述物理网元的MAC地址；
与所述物理网元标识对应的孪生网元的标识包括：物理网元的MAC地址和孪生网元的标识。
其中，所述孪生数据管理单元采集物理网元的数据集，包括：
所述孪生数据管理单元对物理网元的实际流量采用逐包采集或抽样采集的方式，得到第一流量信息；
所述孪生数据管理单元生成包括所述第一流量信息，所述物理网元标识和所述流量采样率的数据集。
其中，在所述孪生数据管理单元采用抽样采集的方式得到第一流量信息的情况下，所述孪生网元根据所述数据集生成孪生流量，包括：
所述孪生网元根据所述数据集中的流量采样率，计算物理网元的实际流量的速率和丢包率；
根据物理网元的实际流量的速率和丢包率，生成孪生流量。
本申请实施例还提供一种数字孪生网络，所述数字孪生网络包括：物理网络和孪生网络，所述物理网络的各个物理网元在所述孪生网络均设置有对应的孪生网元；所述孪生网络还包括孪生数据管理单元，所述孪生数据管理单元包括处理器和收发器，所述收发器在处理器的控制下接收和发送数据，所述处理器用于执行以下操作：
采集物理网元的数据集，所述数据集包括：第一流量信息，物理网元标识和流量采样率；其中，所述孪生数据管理单元与所述物理网元之间采用时延确定性网络；
根据基准传输时间，将所述数据集发送至所述物理网元标识对应的孪生网元；
所述孪生网元还包括处理器，所述处理器用于执行以下操作：根据所述数据集生成孪生流量。
其中，所述处理器还用于执行以下操作：
确定各个物理网元的流量信息到所述孪生数据管理单元的传输时间；
选取最大的传输时间作为所述基准传输时间。
其中，所述处理器还用于执行以下操作：
在物理网元的数据集到所述孪生数据管理单元的第一传输时间小于所述基准传输时间的情况下，接收到所述数据集等待第二时间后将所述数据集发送至所述物理网元标识对应的孪生网元；其中，所述第二时间等于所述基准传输时间与所述第一传输时间之差；
或者，
在物理网元的数据集到所述孪生数据管理单元的第一传输时间等于所述基准传输时间的情况下，接收到所述数据集后将所述数据集发送至所述物理网元标识对应的孪生网元。
其中，所述数据集还包括下述至少一项：
源MAC地址；目的MAC地址；协议类型；源IP地址；目的IP地址；协议号；源端口号；目的端口号；报文优先级；报文长度；报文转发时延。
其中，所述物理网元标识为所述物理网元的MAC地址；
与所述物理网元标识对应的孪生网元的标识包括：物理网元的MAC地址和孪生网元的标识。
其中，所述处理器还用于执行以下操作：
对物理网元的实际流量采用逐包采集或抽样采集的方式，得到第一流量信息；
生成包括所述第一流量信息，所述物理网元标识和所述流量采样率的数据集。
其中，所述孪生网元的处理器还用于执行以下操作：
在所述孪生数据管理单元采用抽样采集的方式得到第一流量信息的情况下，根据所述数据集中的流量采样率，计算物理网元的实际流量的速率和丢包率；
根据物理网元的实际流量的速率和丢包率，生成孪生流量。
本申请实施例还提供一种数字孪生网络，包括存储器、处理器及存储在所述存储器上并可在所述处理器上运行的程序，所述处理器执行所述程序时实现如上所述的数字孪生网络的流量模拟方法。
本申请实施例还提供一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现如上所述的数字孪生网络的流量模拟方法中的步骤。
本申请的上述技术方案至少具有如下有益效果：
本申请实施例的数字孪生网络的流量模拟方法及数字孪生网络中，孪生数据管理单元采集包含流量信息、物理网元标识和流量采样率的数据集，根据基准传输时间将数据集发送至所述物理网元标识对应的孪生网元，所述孪生网元根据所述数据集生成相对于实际流量整体延迟了基准传输时间的孪生流量，从而实现物理网元的实际流量和孪生网元的孪生流量的精确模拟。
附图说明
图1表示数字孪生网络的结构示意图；
图2表示本申请实施例提供的数字孪生网络的流量模拟方法的步骤流程图；
图3表示本申请实施例提供的流量模拟方法对应的数字孪生网络的原理示意图；
图4表示本申请实施例提供的数字孪生网络的流量模拟方法的示例图；
图5表示本申请实施例提供的数字孪生网络的结构示意图。
具体实施方式
为使本申请要解决的技术问题、技术方案和优点更加清楚，下面将结合附图及具体实施例进行详细描述。
如果要实现孪生流量和实际流量(也可称为真实流量)的精确模拟，必须同时满足下面三个特征：
1)流量转发路径一致，即两者经过的节点数量一致，链路一致；
2)流量转发状态一致，即两者具有相同的转发时延、丢包、抖动等；
3)流量特征一致，即两者数据包具备相同的流量速率、五元组、包长、优先级等。
需要说明的是，孪生网元并不要求具备流量转发功能，可以是仅支持存储功能的虚拟网元，所以孪生流量在孪生网元中仅存储当前流量状态，并不要求实现转发行为。
如图2所示，本申请实施例提供一种数字孪生网络的流量模拟方法，应用于数字孪生网络，所述数字孪生网络包括：物理网络和孪生网络，所述物理网络的各个物理网元在所述孪生网络均设置有对应的孪生网元；所述孪生网络还包括孪生数据管理单元，所述方法包括：
步骤201，孪生数据管理单元采集物理网元的数据集，所述数据集包括：第一流量信息，物理网元标识和流量采样率；其中，所述孪生数据管理单元与所述物理网元之间采用时延确定性网络；
步骤202，所述孪生数据管理单元根据基准传输时间，将所述数据集发送至所述物理网元标识对应的孪生网元；
步骤203，所述孪生网元根据所述数据集生成孪生流量。
本申请实施例中，孪生数据管理单元和孪生网元在同一个局域网或同一个物理实体(例如服务器)中，所以孪生数据管理单元和孪生网元之间的传输时延可以忽略不计。
为了满足上述三个特征，本申请实施例需要解决3个问题：
1)物理网络的物理网元和孪生网络的孪生网元具有全网唯一的标识，从而实现物理网元和孪生网元的相互对应，物理网络的流量经过那些物理网元，在孪生网络上孪生流量也经过同样的孪生网元，从而实现转发路径一致；
2)物理网络的流量数据由孪生数据管理单元统一采集和管理，再分发给各个孪生网元。如图3所示，因为数据采集需要时间，为保证孪生流量和物理网络真实流量具有相同的转发时延、丢包、抖动等，本申请实施例提出让孪生流量延后一个固定时间(即基准传输时间)来模拟真实流量。
3)孪生数据管理单元采集的数据集要包括物理网络真实流量的关键信息，从而使得孪生网络的孪生流量和真实流量特征一致。
针对问题1)，本申请实施例提供下述技术方案：
所述物理网元标识为所述物理网元的MAC地址；与所述物理网元标识 对应的孪生网元的标识包括：物理网元的MAC地址和孪生网元的标识。
需要说明的是，每个物理网元在设备出厂时都会预设置一个系统MAC地址，因为MAC地址全网唯一，可作为物理网元的标识。孪生网元基于物理网元系统MAC地址并扩充一些字段作为其唯一标识，一种实现方案为：
孪生网元的标识定义：总长度56bit，其中前48bit是对应的物理网元系统MAC地址，后面8bit用户可自定义，例如用来标识设备类型等；基于物理网元MAC地址标识孪生网元，既实现了物理网元和孪生网元的一一对应，又能实现孪生网元标识的全网唯一性。
针对问题2)，本申请实施例提供下述技术方案：
物理网元和孪生数据管理单元之间的数据传输通道使用时延确定性网络，例如TSN(Time Sensitive Network，时间敏感型网络)、DIP(Deterministic Internet Network，确定性网络)等。由于不同物理网元到孪生数据管理单元的数据传输路径不同，经过的网元数量也不同，所以时延也不同，因为使用时延确定性网络，所以如图3所示，T1～Tn是固定且可预先计算的。
作为一个可选实施例，所述方法还包括：
所述孪生数据管理单元确定各个物理网元的流量信息到所述孪生数据管理单元的传输时间；
所述孪生数据管理单元选取最大的传输时间作为所述基准传输时间。
如图3所示，孪生数据管理单元计算T1～Tn数值后，选取所有时延的最大值Tmax作为基准时间。
作为另一个可选实施例，步骤202包括：
在物理网元的数据集到所述孪生数据管理单元的第一传输时间小于所述基准传输时间的情况下，所述孪生数据管理单元接收到所述数据集等待第二时间后将所述数据集发送至所述物理网元标识对应的孪生网元；其中，所述第二时间等于所述基准传输时间与所述第一传输时间之差；
或者，
在物理网元的数据集到所述孪生数据管理单元的第一传输时间等于所述基准传输时间的情况下，所述孪生数据管理单元接收到所述数据集后将所述数据集发送至所述物理网元标识对应的孪生网元。
如图3所示，假设物理网元的数据到达孪生数据管理单元的时间为t1～tn，当数据传输时间Tn<Tmax，则孪生数据管理单元等待(Tmax-Tn)时间后将数据传给孪生网元，如果Tn＝Tmax，则Tmax-Tn＝0，孪生数据管理单元立即将数据传给孪生网元。至此，孪生流量比真实流量延后了固定时间Tmax，但两者在每个网元的转发时延、抖动等指标是一致的。
针对问题3)，本申请实施例提供下述技术方案：
孪生数据管理单元采集的数据集要包括真实流量的关键信息，如物理网元标识和流量采样率。根据应用需求，数据集中还包括下述至少一项：
源MAC地址；目的MAC地址；协议类型；源IP地址；目的IP地址；协议号；源端口号；目的端口号；报文优先级；报文长度；报文转发时延。
在本申请的至少一个实施例中，步骤201包括：
所述孪生数据管理单元对物理网元的实际流量采用逐包采集或抽样采集的方式，得到第一流量信息；
所述孪生数据管理单元生成包括所述第一流量信息，所述物理网元标识和所述流量采样率的数据集。
本申请实施例中，孪生数据管理单元对于物理网络流量的采集方式有两种方式：
逐包采集：孪生网络的孪生流量和物理网络的实际流量具有相同的流量速率、丢包率。
抽样采集：按照一定的采样率采集，孪生流量通过计算估算真实流量的速率、丢包率。例如实际流量是100Mbps，流量采样率为1％，则孪生流量只需采集1Mbps，再乘以100即可得到真实流量的速率和丢包率。
作为一个可选实施例，在所述孪生数据管理单元采用抽样采集的方式得到第一流量信息的情况下，步骤203包括：
所述孪生网元根据所述数据集中的流量采样率，计算物理网元的实际流量的速率和丢包率；
根据物理网元的实际流量的速率和丢包率，生成孪生流量。
综上，基于本申请实施例提供的流量模拟方法实现了物理网元真实流量和孪生网元孪生流量的高精度模拟，真实流量和孪生流量同时满足下面3 个条件：
流量转发路径一致，经过相同的网元节点；
流量转发状态一致，具有相同的流量速率、转发时延、丢包、抖动等；
流量特征一致，具备相同的五元组、包长、优先级等。
如图4所示为利用本申请实施例提供的流量模拟方法生成孪生网络的孪生流量的实现步骤：
步骤1，构建数字孪生网络，物理网元和孪生网元通过全网唯一的标识一一对应，网元数量和拓扑连接一致；
步骤2，物理网元将流量关键信息组成一个数据集，例如{物理网元标识、采样率、源MAC、目的MAC、协议类型、源IP地址、目的IP地址}；
步骤3，孪生数据管理单元采集各个物理网元的流量信息的数据集，计算数据传输通道最大时延Tmax；
步骤4，孪生数据管理单元收集到数据集后，根据物理网元标识将数据集发到对应的孪生网元；
步骤5，孪生网元根据数据集的采样率和流量信息，生成孪生流量，因为物理网元和孪生数据管理单元之间的信息传输时间固定为Tmax，孪生数据管理单元和孪生网元在同一个服务器或者局域网中，传输时延可忽略不计，所以孪生网络的流量相当于是实际流量整体延迟了Tmax时间的镜像流量。
综上，本申请实施例中，孪生数据管理单元采集包含流量信息、物理网元标识和流量采样率的数据集，根据基准传输时间将数据集发送至所述物理网元标识对应的孪生网元，所述孪生网元根据所述数据集生成相对于实际流量整体延迟了基准传输时间的孪生流量，从而实现物理网元的实际流量和孪生网元的孪生流量的精确模拟。
如图5所示，本申请实施例还提供一种数字孪生网络，所述数字孪生网络包括：物理网络和孪生网络，所述物理网络的各个物理网元在所述孪生网络均设置有对应的孪生网元；所述孪生网络还包括孪生数据管理单元，所述孪生数据管理单元包括处理器500和收发器510，所述收发器510在处理器500的控制下接收和发送数据，所述处理器500用于执行以下操作：
采集物理网元的数据集，所述数据集包括：第一流量信息，物理网元标识和流量采样率；其中，所述孪生数据管理单元与所述物理网元之间采用时延确定性网络；
根据基准传输时间，将所述数据集发送至所述物理网元标识对应的孪生网元；
所述孪生网元还包括处理器，所述处理器用于执行以下操作：根据所述数据集生成孪生流量。
作为一个可选实施例，所述处理器还用于执行以下操作：
确定各个物理网元的流量信息到所述孪生数据管理单元的传输时间；
选取最大的传输时间作为所述基准传输时间。
作为一个可选实施例，所述处理器还用于执行以下操作：
在物理网元的数据集到所述孪生数据管理单元的第一传输时间小于所述基准传输时间的情况下，接收到所述数据集等待第二时间后将所述数据集发送至所述物理网元标识对应的孪生网元；其中，所述第二时间等于所述基准传输时间与所述第一传输时间之差；
或者，
在物理网元的数据集到所述孪生数据管理单元的第一传输时间等于所述基准传输时间的情况下，接收到所述数据集后将所述数据集发送至所述物理网元标识对应的孪生网元。
作为一个可选实施例，所述数据集还包括下述至少一项：
源MAC地址；目的MAC地址；协议类型；源IP地址；目的IP地址；协议号；源端口号；目的端口号；报文优先级；报文长度；报文转发时延。
作为一个可选实施例，所述物理网元标识为所述物理网元的MAC地址；
与所述物理网元标识对应的孪生网元的标识包括：物理网元的MAC地址和孪生网元的标识。
作为一个可选实施例，所述处理器还用于执行以下操作：
对物理网元的实际流量采用逐包采集或抽样采集的方式，得到第一流量信息；
生成包括所述第一流量信息，所述物理网元标识和所述流量采样率的数据集。
作为一个可选实施例，所述孪生网元的处理器还用于执行以下操作：
在所述孪生数据管理单元采用抽样采集的方式得到第一流量信息的情况下，根据所述数据集中的流量采样率，计算物理网元的实际流量的速率和丢包率；
根据物理网元的实际流量的速率和丢包率，生成孪生流量。
本申请实施例中，孪生数据管理单元采集包含流量信息、物理网元标识和流量采样率的数据集，根据基准传输时间将数据集发送至所述物理网元标识对应的孪生网元，所述孪生网元根据所述数据集生成相对于实际流量整体延迟了基准传输时间的孪生流量，从而实现物理网元的实际流量和孪生网元的孪生流量的精确模拟。
需要说明的是，本申请实施例提供的数字孪生网络是能够执行上述流量模拟方法的数字孪生网络，则上述流量模块方法的所有实施例均适用于该数字孪生网络，且均能达到相同或相似的有益效果。
本申请实施例还提供一种数字孪生网络，包括存储器、处理器及存储在所述存储器上并可在所述处理器上运行的计算机程序，所述处理器执行所述程序时实现如上所述的数字孪生网络的流量模拟方法实施例中的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
本申请实施例还提供一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现如上所述的数字孪生网络的流量模拟方法实施例中的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。其中，所述的计算机可读存储介质，如只读存储器(Read-Only Memory，简称ROM)、随机存取存储器(Random Access Memory，简称RAM)、磁碟或者光盘等。
本领域内的技术人员应明白，本申请的实施例可提供为方法、系统或计算机程序产品。因此，本申请可采用完全硬件实施例、完全软件实施例或结合软件和硬件方面的实施例的形式。而且，本申请可采用在一个或多个其中包含有计算机可用程序代码的计算机可读存储介质(包括但不限于 磁盘存储器和光学存储器等)上实施的计算机程序产品的形式。
本申请是参照根据本申请实施例的方法、设备(系统)和计算机程序产品的流程图和/或方框图来描述的。应理解可由计算机程序指令实现流程图和/或方框图中的每一流程和/或方框、以及流程图和/或方框图中的流程和/或方框的结合。可提供这些计算机程序指令到通用计算机、专用计算机、嵌入式处理机或其它可编程数据处理设备的处理器以产生一个机器，使得通过计算机或其它可编程数据处理设备的处理器执行的指令产生用于实现在流程图一个流程或多个流程和/或一个方框或多个方框中指定的功能的装置。
这些计算机程序指令也可存储在能引导计算机或其它可编程数据处理设备以特定方式工作的计算机可读存储介质中，使得存储在该计算机可读存储介质中的指令产生包括指令装置的纸制品，该指令装置实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能。
这些计算机程序指令也可装载到计算机或其它可编程数据处理设备上，使得计算机或其他可编程设备上执行一系列操作步骤以产生计算机实现的处理，从而在计算机或其他科编程设备上执行的指令提供用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的步骤。
以上所述是本申请的优选实施方式，应当指出，对于本技术领域的普通技术人员来说，在不脱离本申请所述原理的前提下，还可以做出若干改进和润饰，这些改进和润饰也应视为本申请的保护范围。

Claims (16)

  1. 一种数字孪生网络的流量模拟方法，应用于数字孪生网络，所述数字孪生网络包括：物理网络和孪生网络，所述物理网络的各个物理网元在所述孪生网络均设置有对应的孪生网元；所述孪生网络还包括孪生数据管理单元，所述方法包括：
    孪生数据管理单元采集物理网元的数据集，所述数据集包括：第一流量信息，物理网元标识和流量采样率；其中，所述孪生数据管理单元与所述物理网元之间采用时延确定性网络；
    所述孪生数据管理单元根据基准传输时间，将所述数据集发送至所述物理网元标识对应的孪生网元；
    所述孪生网元根据所述数据集生成孪生流量。
  2. 根据权利要求1所述的方法，其中，所述方法还包括：
    所述孪生数据管理单元确定各个物理网元的流量信息到所述孪生数据管理单元的传输时间；
    所述孪生数据管理单元选取最大的传输时间作为所述基准传输时间。
  3. 根据权利要求1所述的方法，其中，所述孪生数据管理单元根据基准传输时间，将所述数据集发送至所述物理网元标识对应的孪生网元，包括：
    在物理网元的数据集到所述孪生数据管理单元的第一传输时间小于所述基准传输时间的情况下，所述孪生数据管理单元接收到所述数据集等待第二时间后将所述数据集发送至所述物理网元标识对应的孪生网元；其中，所述第二时间等于所述基准传输时间与所述第一传输时间之差；
    或者，
    在物理网元的数据集到所述孪生数据管理单元的第一传输时间等于所述基准传输时间的情况下，所述孪生数据管理单元接收到所述数据集后将所述数据集发送至所述物理网元标识对应的孪生网元。
  4. 根据权利要求1所述的方法，其中，所述数据集还包括下述至少一项：
    源MAC地址；目的MAC地址；协议类型；源IP地址；目的IP地址；协议号；源端口号；目的端口号；报文优先级；报文长度；报文转发时延。
  5. 根据权利要求1所述的方法，其中，所述物理网元标识为所述物理网元的MAC地址；
    与所述物理网元标识对应的孪生网元的标识包括：物理网元的MAC地址和孪生网元的标识。
  6. 根据权利要求1所述的方法，其中，所述孪生数据管理单元采集物理网元的数据集，包括：
    所述孪生数据管理单元对物理网元的实际流量采用逐包采集或抽样采集的方式，得到第一流量信息；
    所述孪生数据管理单元生成包括所述第一流量信息，所述物理网元标识和所述流量采样率的数据集。
  7. 根据权利要求6所述的方法，其中，在所述孪生数据管理单元采用抽样采集的方式得到第一流量信息的情况下，所述孪生网元根据所述数据集生成孪生流量，包括：
    所述孪生网元根据所述数据集中的流量采样率，计算物理网元的实际流量的速率和丢包率；
    根据物理网元的实际流量的速率和丢包率，生成孪生流量。
  8. 一种数字孪生网络，所述数字孪生网络包括：物理网络和孪生网络，所述物理网络的各个物理网元在所述孪生网络均设置有对应的孪生网元；所述孪生网络还包括孪生数据管理单元，所述孪生数据管理单元包括处理器和收发器，所述收发器在处理器的控制下接收和发送数据，所述处理器用于执行以下操作：
    采集物理网元的数据集，所述数据集包括：第一流量信息，物理网元标识和流量采样率；其中，所述孪生数据管理单元与所述物理网元之间采用时延确定性网络；
    根据基准传输时间，将所述数据集发送至所述物理网元标识对应的孪生网元；
    所述孪生网元还包括处理器，所述处理器用于执行以下操作：根据所 述数据集生成孪生流量。
  9. 根据权利要求8所述的数字孪生网络，其中，所述处理器还用于执行以下操作：
    确定各个物理网元的流量信息到所述孪生数据管理单元的传输时间；
    选取最大的传输时间作为所述基准传输时间。
  10. 根据权利要求8所述的数字孪生网络，其中，所述处理器还用于执行以下操作：
    在物理网元的数据集到所述孪生数据管理单元的第一传输时间小于所述基准传输时间的情况下，接收到所述数据集等待第二时间后将所述数据集发送至所述物理网元标识对应的孪生网元；其中，所述第二时间等于所述基准传输时间与所述第一传输时间之差；
    或者，
    在物理网元的数据集到所述孪生数据管理单元的第一传输时间等于所述基准传输时间的情况下，接收到所述数据集后将所述数据集发送至所述物理网元标识对应的孪生网元。
  11. 根据权利要求8所述的数字孪生网络，其中，所述数据集还包括下述至少一项：
    源MAC地址；目的MAC地址；协议类型；源IP地址；目的IP地址；协议号；源端口号；目的端口号；报文优先级；报文长度；报文转发时延。
  12. 根据权利要求8所述的数字孪生网络，其中，所述物理网元标识为所述物理网元的MAC地址；
    与所述物理网元标识对应的孪生网元的标识包括：物理网元的MAC地址和孪生网元的标识。
  13. 根据权利要求8所述的数字孪生网络，其中，所述处理器还用于执行以下操作：
    对物理网元的实际流量采用逐包采集或抽样采集的方式，得到第一流量信息；
    生成包括所述第一流量信息，所述物理网元标识和所述流量采样率的数据集。
  14. 根据权利要求13所述的数字孪生网络，其中，所述孪生网元的处理器还用于执行以下操作：
    在所述孪生数据管理单元采用抽样采集的方式得到第一流量信息的情况下，根据所述数据集中的流量采样率，计算物理网元的实际流量的速率和丢包率；
    根据物理网元的实际流量的速率和丢包率，生成孪生流量。
  15. 一种数字孪生网络，包括存储器、处理器及存储在所述存储器上并可在所述处理器上运行的程序；所述处理器执行所述程序时实现如权利要求1-7任一项所述的数字孪生网络的流量模拟方法。
  16. 一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现如权利要求1-7任一项所述的数字孪生网络的流量模拟方法中的步骤。
PCT/CN2022/084875 2021-05-28 2022-04-01 数字孪生网络的流量模拟方法及数字孪生网络 WO2022247462A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202110589918.4A CN115484173A (zh) 2021-05-28 2021-05-28 数字孪生网络的流量模拟方法及数字孪生网络
CN202110589918.4 2021-05-28

Publications (1)

Publication Number Publication Date
WO2022247462A1 true WO2022247462A1 (zh) 2022-12-01

Family

ID=84229492

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2022/084875 WO2022247462A1 (zh) 2021-05-28 2022-04-01 数字孪生网络的流量模拟方法及数字孪生网络

Country Status (2)

Country Link
CN (1) CN115484173A (zh)
WO (1) WO2022247462A1 (zh)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116821403B (zh) * 2023-08-31 2023-12-05 超网实业(成都)股份有限公司 一种厂区设备的智能运维方法及系统

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111857065A (zh) * 2020-06-08 2020-10-30 北京邮电大学 基于边缘计算和数字孪生的智能生产系统和方法
US20200394351A1 (en) * 2018-02-07 2020-12-17 Incucomm, Inc. Operations and maintenance systems and methods employing sensor-less digital twins
WO2021001007A1 (en) * 2019-07-01 2021-01-07 Nokia Solutions And Networks Oy Mismatch detection in digital twin data by comparing to thresholds the reliability and latency constraint communication related values received from sources with geolocation information
CN112382064A (zh) * 2020-11-12 2021-02-19 广东电网有限责任公司 一种基于数字孪生技术的电力物联网故障预警方法及系统
CN112731887A (zh) * 2020-12-31 2021-04-30 南京理工大学 石化无人值守装卸线数字孪生智能监控系统及方法

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111405590B (zh) * 2019-01-02 2023-01-13 中国移动通信有限公司研究院 一种虚拟化网元数据流量导出方法、装置和存储介质
CN110247827B (zh) * 2019-07-25 2020-02-11 浙江鹏信信息科技股份有限公司 基于数字孪生技术的nfv网元全包围测试方法及装置
US11119882B2 (en) * 2019-10-09 2021-09-14 International Business Machines Corporation Digital twin workflow simulation
CN112733303B (zh) * 2019-10-11 2024-03-12 中国科学院沈阳自动化研究所 基于确定性网络演算的多策略工业tsn整形器建模方法
CN111835565B (zh) * 2020-07-06 2023-06-20 重庆金美通信有限责任公司 一种基于数字孪生的通信网络优化方法、装置和系统

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20200394351A1 (en) * 2018-02-07 2020-12-17 Incucomm, Inc. Operations and maintenance systems and methods employing sensor-less digital twins
WO2021001007A1 (en) * 2019-07-01 2021-01-07 Nokia Solutions And Networks Oy Mismatch detection in digital twin data by comparing to thresholds the reliability and latency constraint communication related values received from sources with geolocation information
CN111857065A (zh) * 2020-06-08 2020-10-30 北京邮电大学 基于边缘计算和数字孪生的智能生产系统和方法
CN112382064A (zh) * 2020-11-12 2021-02-19 广东电网有限责任公司 一种基于数字孪生技术的电力物联网故障预警方法及系统
CN112731887A (zh) * 2020-12-31 2021-04-30 南京理工大学 石化无人值守装卸线数字孪生智能监控系统及方法

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
RASHEED ADIL; SAN OMER; KVAMSDAL TROND: "Digital Twin: Values, Challenges and Enablers From a Modeling Perspective", IEEE ACCESS, vol. 8, 27 January 2020 (2020-01-27), USA , pages 21980 - 22012, XP011770524, DOI: 10.1109/ACCESS.2020.2970143 *
SUN TAO, ZHOU CHENG;DUAN XIAO-DONG;LU LU;CHEN DAN-YANG;YANG HONG-WEI;ZHU YAN-HONG;LIU CHAO;LI QIN;WANG XIAO;SHEN ZHEN;QU FENG-ZHO: "Digital Twin Network(DTN): Concepts, Architecture, and Key Technologies", ACTA AUTOMATICA SINICA, vol. 47, no. 3, 15 March 2021 (2021-03-15), CN , pages 569 - 582, XP093007804, ISSN: 0254-4156, DOI: 10.16383/j.aas.c210097 *

Also Published As

Publication number Publication date
CN115484173A (zh) 2022-12-16

Similar Documents

Publication Publication Date Title
Khalili et al. MPTCP is not Pareto-optimal: Performance issues and a possible solution
Li et al. LLMP: exploiting LLDP for latency measurement in software-defined data center networks
US7830809B2 (en) Methods and apparatus for characterizing a route in a fibre channel fabric
WO2015165212A1 (zh) 一种报文处理方法、装置及计算机存储介质
US20200296624A1 (en) Frame aggregation method, network setting frame sending method, and device
US20070097865A1 (en) Method for measuring end-to-end delay in asynchronous packet transfer network, and asynchronous packet transmitter and receiver
WO2007118396A1 (fr) Procédé et système de mesure de performances réseau
WO2022078293A1 (zh) 组播业务流的检测方法及相关装置
JP2024521725A (ja) パケット伝送方法及びパケット伝送装置
JP4823156B2 (ja) リモートトラフィック監視方法
Aida et al. A scalable and lightweight QoS monitoring technique combining passive and active approaches
Huang et al. Cycle-based time-sensitive and deterministic networks: Architecture, challenges, and open issues
Yang et al. A systematic network traffic emulation framework for digital twin network
WO2013066410A2 (en) Method, system, network nodes, routers and program for bandwidth estimation in multi-hop networks
EP2681871A1 (en) In-service throughput testing in distributed router/switch architectures
WO2022247462A1 (zh) 数字孪生网络的流量模拟方法及数字孪生网络
CN105119911A (zh) 一种基于sdn流的安全认证方法及系统
CN110290020B (zh) 一种以太网测试仪表高精度流量百分比产生方法和装置
WO2019085809A1 (zh) 获得目标传输路径的方法、相关设备及系统
CN105681223A (zh) 一种sdn的数据包转发方法及装置
JP2004201304A (ja) 高速パケット網のためのパケットスケジューリングシステム及び方法
KR20220029142A (ko) Sdn 컨트롤러 서버 및 이의 sdn 기반 네트워크 트래픽 사용량 분석 방법
CN114884811B (zh) 一种时间敏感网络集中用户配置实现方法
WO2022052800A1 (zh) 一种通信系统、数据处理方法以及相关设备
JP5923914B2 (ja) 網状態推定装置及び網状態推定プログラム

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 22810195

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE