CN114978927B - Edge computing node communication resource modeling method, equipment and medium - Google Patents
Edge computing node communication resource modeling method, equipment and medium Download PDFInfo
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Abstract
The application belongs to the technical field of industrial communication, and particularly relates to a method, equipment and medium for modeling communication resources of an edge computing node, wherein the method comprises the following steps: acquiring application data to be transmitted in an edge computing node, and determining data characteristics of the application data according to communication requirements of the application data; determining a data flow type and a network transmission priority when the application data is transmitted in the TSN network based on the data characteristics; and packaging the application data into corresponding TSN network data streams according to the data stream types, establishing corresponding network connection based on the network transmission priority and transmitting the TSN network data streams. The communication resource modeling method can provide a unified modeling representation method of data transmission quality requirements and network transmission capacity for the edge computing nodes positioned in the industrial field, thereby providing high-reliability and low-delay communication service guarantee for the edge computing nodes.
Description
Technical Field
The application belongs to the technical field of industrial communication, and particularly relates to a communication resource modeling method of an edge computing node.
Background
Edge computing refers to providing near-end services by adopting an open platform with integrated network, computing, storage and application core capabilities on the side close to the object or data source. For example, each sensing node of the Internet of things initiates an application program at the edge side, generates faster network service response, and meets the basic requirements of the industry in the aspects of real-time service, application intelligence, security, privacy protection and the like.
The industrial heterogeneous network is limited in the industrial Ethernet comprising the TSN technology, and because the industrial communication scene is complex and various and different requirements are provided for performance indexes such as time delay, jitter and the like, the phenomenon that various industrial Ethernet protocols are simultaneously used in industrial sites occurs, which causes difficulties for transverse communication among heterogeneous protocol edge computing nodes and longitudinal integration of site data. How to provide high-quality and low-delay service for users through reasonable communication resource modeling becomes a technical problem to be solved.
Disclosure of Invention
First, the technical problem to be solved
In view of the foregoing drawbacks and deficiencies of the prior art, the present application provides a method, apparatus and medium for modeling communication resources of an edge computing node.
(II) technical scheme
In order to achieve the above purpose, the application adopts the following technical scheme:
in a first aspect, an embodiment of the present application provides a method for modeling communication resources of an edge computing node, where the method includes:
acquiring application data to be transmitted in an edge computing node, and determining data characteristics of the application data according to communication requirements of the application data;
determining a data flow type and a network transmission priority when the application data is transmitted in the TSN network based on the data characteristics;
and packaging the application data into corresponding TSN network data streams according to the data stream types, establishing corresponding network connection based on the network transmission priority and transmitting the TSN network data streams.
Optionally, the data features include a period feature, a clock synchronization feature, a delay feature.
Optionally, determining a data flow type of the application data when transmitted in the TSN network based on the data characteristics includes:
determining a data type of the application data based on the data characteristics, the data type including isochronous, periodic asynchronous, alarm and event, configuration and diagnostics, network configuration, best effort;
and determining the data stream type of the application data when the application data is transmitted in the TSN network based on the data type, wherein the data stream type comprises time sensitive data stream, normal data stream, transmission channel configurable non-stream data and normal non-stream data.
Optionally, determining a data flow type of the application data when transmitted in the TSN network based on the data type includes:
when the data type is isochronous or periodic, the data stream type of the application data when transmitted in the TSN network is time sensitive data stream;
when the data type is periodically asynchronous, the data stream type of the application data transmitted in the TSN network is a common data stream;
when the data type is one of alarm and event, configuration and diagnosis and network configuration, the data flow type when the application data is transmitted in the TSN network is transmission channel configurable non-flow data;
when the data type is best effort, the data stream type of the application data when transmitted in the TSN network is normal non-stream data.
Optionally, determining the network transmission priority of the application data when transmitted in the TSN network based on the data characteristics includes:
determining a data type of the application data based on the data characteristics;
when the data types are respectively isochronous, periodic asynchronous, alarm and event, configuration and diagnosis, network configuration, best effort, the network transmission priorities are respectively one, two, three, four, five, six, seven.
Optionally, the data stream includes data stream information, data link configuration information, data link diagnostic information.
Optionally, the network connection is also established based on a maximum network communication latency expected by the sender.
In a second aspect, an embodiment of the present application provides an electronic device, including: a memory, a processor and a computer program stored on the memory and executable on the processor, which when executed by the processor performs the steps of the edge computing node communication resource modeling method of any of the first aspects above.
In a third aspect, embodiments of the present application provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the edge computing node communication resource modeling method of any of the first aspects above.
(III) beneficial effects
The beneficial effects of the application are as follows: the application provides a method, equipment and medium for modeling communication resources of an edge computing node, wherein the method comprises the following steps: acquiring application data to be transmitted in an edge computing node, and determining data characteristics of the application data according to communication requirements of the application data; determining a data flow type and a network transmission priority when the application data is transmitted in the TSN network based on the data characteristics; and packaging the application data into corresponding TSN network data streams according to the data stream types, establishing corresponding network connection based on the network transmission priority and transmitting the TSN network data streams. The communication resource modeling method can provide a unified modeling representation method of data transmission quality requirements and network transmission capacity for the edge computing nodes positioned in the industrial field, thereby providing high-reliability and low-delay communication service guarantee for the edge computing nodes.
Drawings
The application is described with the aid of the following figures:
FIG. 1 is a flow chart of a method for modeling communication resources of an edge computing node according to an embodiment of the present application;
FIG. 2 is a diagram of a basic network information model in one embodiment of the application;
fig. 3 is a schematic diagram of an architecture of an electronic device according to another embodiment of the application.
Detailed Description
The application will be better explained by the following detailed description of the embodiments with reference to the drawings. It is to be understood that the specific embodiments described below are merely illustrative of the related application, and not restrictive of the application. In addition, it should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments may be combined with each other; for convenience of description, only parts related to the application are shown in the drawings.
Example 1
The implementation subject of this embodiment may be an edge computing node located at an industrial site that communicates based on a Time sensitive network (Time-Sensitive Network, TSN), such as an industrial terminal device. The industrial terminal equipment firstly receives equipment data collected by a sensor through various industrial buses, wherein the industrial buses comprise a CAN (Controller Area Network ) Bus, a Profibus (processFieldbus) Bus and the like; and then carrying out edge calculation on the equipment data to obtain edge calculation data. The edge calculation is a calculation mode for deploying the workload at the edge node, and comprises data format conversion, data cleaning, effective information extraction, fault analysis, data statistics, real-time or off-line data analysis with small calculation amount, other data calculation and the like.
Fig. 1 is a flow chart of a method for modeling communication resources of an edge computing node according to an embodiment of the present application, as shown in fig. 1, where the method for modeling communication resources of an edge computing node according to the embodiment includes:
s10, acquiring application data to be transmitted in an edge computing node, and determining data characteristics of the application data according to communication requirements of the application data;
s20, determining the data flow type and the network transmission priority when the application data are transmitted in the TSN network based on the data characteristics;
s30, packaging the application data into corresponding TSN network data streams according to the data stream types, establishing corresponding network connection based on the network transmission priority and transmitting the TSN network data streams.
The communication resource modeling method of the embodiment can provide a unified modeling representation method of data transmission quality requirements and network transmission capacity for the edge computing nodes positioned in the industrial field, thereby providing high-reliability and low-delay communication service guarantee for the edge computing nodes.
In order to better understand the present application, each step in this embodiment is explained below.
In this embodiment S10, the data features include a period feature, a clock synchronization feature, and a delay feature, where the delay feature is specifically a data delivery requirement.
Different industrial application scenes determine the characteristics of data to be transmitted by the industrial terminal equipment and the difference of requirements of different data streams on network transmission quality guarantee. Considering different industrial application scenarios comprehensively and combining with the transmission capability of the TSN network, this embodiment defines 3 basic features for distinguishing data flows of different industrial terminal devices, and table 1 is a data feature table, where each feature includes 3 selectable items, as shown in table 1:
TABLE 1
In this embodiment S20, the data stream types during transmission in the TSN network include time sensitive data stream, normal data stream, transmission channel configurable non-streaming data, normal non-streaming data.
In this embodiment S20, the network transmission priority is a plurality of levels defined in advance from high to low, and each level corresponds to a corresponding priority level.
In this embodiment S30, the application data is encapsulated into a corresponding TSN network data stream according to the data stream type, and a corresponding network connection is established and the TSN network data stream is transmitted based on the network transmission priority.
In this embodiment, a basic network resource model based on TSN is defined, and is applied to description of network resources by industrial terminal equipment, and fig. 2 is a basic network information model diagram in an embodiment of the present application, and as shown in fig. 2, the basic network resource model has the following hierarchical structure:
server-industrial terminal equipment;
resources-various input/output interfaces provided with industrial terminal equipment;
communication-a network resource possessed by industrial terminal equipment;
streams—data stream on industrial terminal equipment;
network interfaces-network interfaces on industrial terminal equipment.
The industrial terminal equipment can contain one or more streamers, and a certain Stream can call a certain specific network interface to form a session TsnTalker to complete data receiving and transmitting.
The embodiment realizes the transmission and communication of the data stream QoS of the industrial terminal equipment through the association between the data Streams (Streams) and the network connection (Connections).
Example two
The present embodiment describes the basic network resource model and the steps of the first embodiment in detail on the basis of the first embodiment.
Through communication connections between industrial end nodes established by TSNs, multiple network connections can be created by users under the data Streams (Streams) according to actual needs. The TSN network may configure different transmission quality guarantees for the transmission and reception links of data, and one industrial terminal may be a data transmitting end (Talker) or a data receiving end (Listener) in a certain communication connection, but all the TSN networks should conform to the tsnstream type definition and include the following three attribute information:
(1) TSNStream itself has the attribute:
StreamName: data stream name
StreamId: data stream ID
State: data stream status
accumulatedLatency: cumulative time delay
SrClassId: source class ID
(2) Data link configuration information trafficSpecification
MaxIntervalFrames: period data frame maximum time interval
MaxFrameSize: maximum data frame length
TimeAware: time sensitive priority
Interval: communication cycle
(3) Data link diagnostic information status stream
FailureCode: data link failure coding (compliant with the ieee802.1q specification).
The industrial terminal equipment needs to model a network interface contained by the industrial terminal equipment, is convenient for an application to select different network interfaces to establish network connection, and the network interface needs to conform to the definition of an InterfaceConfigurationType and contains the following three parts of attribute information:
(1) InterfaceConfiguration itself has properties
MacAddress: self MAC address
InterfaceName: interface name
TimeAwareOffset: maximum network communication latency expected by sender
(2)macAddress
DestinationnAddrress: destination MAC address
(3)vlanTag
Vlan id: VLAN identification number in VLAN tag, 12bit, 0-4095
PrioritityCodePoint: priority coding in VLAN tag, 3bit, 0-7
In this embodiment, determining a data flow type when application data is transmitted in the TSN network based on the data characteristics includes:
s21, determining the data type of application data based on the data characteristics, wherein the data type comprises isochronous, periodic synchronous, periodic asynchronous, alarm and event, configuration and diagnosis, network configuration and best effort;
s22, determining the data stream type of the application data when the application data is transmitted in the TSN based on the data type, wherein the data stream type comprises time sensitive data stream, normal data stream, transmission channel configurable non-stream data and normal non-stream data.
Different application data transmitted by industrial terminal equipment can be combined based on different options of three characteristics of period, clock synchronous transmission and data delivery requirement.
Based on the above combination of different features, 7 typical industrial data types (messagetypes) of industrial terminal devices and 4 data stream types (streamtypes) after mapping to the TSN network are defined, and table 2 is a data feature, data type, and data stream type correspondence table.
TABLE 2
As shown in table 2, when the data type is isochronous or periodic, the data stream type when the application data is transmitted in the TSN network is a time sensitive data stream;
when the data type is periodic asynchronous, the data stream type when the application data is transmitted in the TSN network is a common data stream;
when the data type is one of alarm and event, configuration and diagnosis and network configuration, the data flow type when the application data is transmitted in the TSN network is the transmission channel configurable non-flow data;
when the data type is best effort, the data stream type when the application data is transmitted in the TSN network is normal non-streaming data.
In this embodiment, determining a network transmission priority when application data is transmitted in the TSN network based on the data characteristics includes:
determining a data type of the application data based on the data characteristics;
when the data types are respectively isochronous, periodic asynchronous, alarm and event, configuration and diagnosis, network configuration and best effort, the network transmission priorities are respectively one-level, two-level, three-level, four-level, five-level, six-level and seven-level.
Table 3 is a priority encoding table for data types, and the mapping of 7 typical industrial data types to InterfaceConfigurationType- > vlan tag- > PriorityCodePoint in the network interface model is shown in Table 3.
TABLE 3 Table 3
According to the edge computing node communication resource modeling method, data with different industrial Ethernet protocols in different formats in a transmission layer and a network layer are mapped to a link layer and transmitted in a network in a data frame mode, a unified information model is built for key connection parameters such as connection parameters of the link layer and data transmission quality, unified configuration of network connection parameters is supported, communication among heterogeneous protocols is achieved, and reliable end-to-end transmission of different types of industrial data is guaranteed.
Example III
A third aspect of the present application provides, in a fourth embodiment, an electronic device, including: a memory, a processor and a computer program stored on the memory and executable on the processor, the computer program when executed by the processor performing the steps of the method of modeling communication resources of an edge computing node as described in any of the above embodiments.
Fig. 3 is a schematic diagram of an architecture of an electronic device according to another embodiment of the application.
The electronic device shown in fig. 3 may include: at least one processor 101, at least one memory 102, at least one network interface 104, and other user interfaces 103. The various components in the electronic device are coupled together by a bus system 105. It is understood that the bus system 105 is used to enable connected communications between these components. The bus system 105 includes a power bus, a control bus, and a status signal bus in addition to a data bus. But for clarity of illustration the various buses are labeled as bus system 105 in fig. 3.
The user interface 103 may include, among other things, a display, a keyboard, or a pointing device (e.g., a mouse, a trackball (trackball), or a touch pad, etc.).
It will be appreciated that the memory 102 in this embodiment may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The nonvolatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable EPROM (EEPROM), or a flash Memory. The volatile memory may be random access memory (Random Access Memory, RAM) which acts as an external cache. By way of example, and not limitation, many forms of RAM are available, such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (Double Data Rate SDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), and Direct memory bus RAM (DRRAM). The memory 62 described herein is intended to comprise, without being limited to, these and any other suitable types of memory.
In some implementations, the memory 102 stores the following elements, executable units or data structures, or a subset thereof, or an extended set thereof: an operating system 1021, and application programs 1022.
The operating system 1021 includes various system programs, such as a framework layer, a core library layer, a driver layer, and the like, for implementing various basic services and processing hardware-based tasks. Applications 1022 include various applications for implementing various application services. A program for implementing the method of the embodiment of the present application may be included in the application program 1022.
In an embodiment of the present application, the processor 101 is configured to execute the method steps provided in the first aspect by calling a program or an instruction stored in the memory 102, specifically, a program or an instruction stored in the application 1022.
The method disclosed in the above embodiment of the present application may be applied to the processor 101 or implemented by the processor 101. The processor 101 may be an integrated circuit chip with signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in the processor 101 or instructions in the form of software. The processor 101 described above may be a general purpose processor, a digital signal processor, an application specific integrated circuit, an off-the-shelf programmable gate array or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component. The disclosed methods, steps, and logic blocks in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be embodied directly in the execution of a hardware decoding processor, or in the execution of a combination of hardware and software elements in a decoding processor. The software elements may be located in a random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in the memory 102, and the processor 101 reads information in the memory 102, and in combination with its hardware, performs the steps of the method described above.
In addition, in combination with the edge computing node communication resource modeling method in the above embodiment, the embodiment of the present application may provide a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements any one of the edge computing node communication resource modeling methods in the above method embodiments.
It should be noted that in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The application may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. The use of the terms first, second, third, etc. are for convenience of description only and do not denote any order. These terms may be understood as part of the component name.
Furthermore, it should be noted that in the description of the present specification, the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to a specific feature, structure, material, or characteristic described in connection with the embodiment or example being included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art upon learning the basic inventive concepts. Therefore, the appended claims should be construed to include preferred embodiments and all such variations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, the present application should also include such modifications and variations provided that they come within the scope of the following claims and their equivalents.
Claims (7)
1. A method for modeling communication resources of an edge computing node, the method comprising:
acquiring application data to be transmitted in an edge computing node, and determining data characteristics of the application data according to communication requirements of the application data;
determining a data flow type and a network transmission priority when the application data is transmitted in the TSN network based on the data characteristics;
determining a data flow type of the application data when transmitted in the TSN network based on the data characteristics comprises: determining a data type of the application data based on the data characteristics, the data type including isochronous, periodic asynchronous, alarm and event, configuration and diagnostics, network configuration, best effort; determining a data flow type of the application data when the application data is transmitted in the TSN network based on the data type;
determining a network transmission priority of the application data when transmitted in the TSN network based on the data characteristics, comprising: determining a data type of the application data based on the data characteristics; when the data types are respectively isochronous, periodic asynchronous, alarm and event, configuration and diagnosis, network configuration and best effort, the network transmission priorities are respectively one-level, two-level, three-level, four-level, five-level, six-level and seven-level;
encapsulating the application data into corresponding TSN network data streams according to the data stream types, establishing corresponding network connection based on the network transmission priority and transmitting the TSN network data streams;
wherein the data features include a period feature, a clock synchronization feature, and a delay feature.
2. The method of modeling communication resources of an edge computing node of claim 1, wherein the data stream type comprises time sensitive data stream, normal data stream, transmission channel configurable non-streaming data, normal non-streaming data.
3. The edge computing node communication resource modeling method of claim 1, wherein determining a data flow type of the application data as transmitted in the TSN network based on the data type comprises:
when the data type is isochronous or periodic, the data stream type of the application data when transmitted in the TSN network is time sensitive data stream;
when the data type is periodically asynchronous, the data stream type of the application data transmitted in the TSN network is a common data stream;
when the data type is one of alarm and event, configuration and diagnosis and network configuration, the data flow type when the application data is transmitted in the TSN network is transmission channel configurable non-flow data;
when the data type is best effort, the data stream type of the application data when transmitted in the TSN network is normal non-stream data.
4. The edge computing node communication resource modeling method of claim 1, wherein the data flow comprises data flow information, data link configuration information, data link diagnostic information.
5. The edge computing node communication resource modeling method of claim 1, wherein the network connection is further established based on a maximum network communication latency expected by the sender.
6. An electronic device, comprising: memory, a processor and a computer program stored on the memory and executable on the processor, which when executed by the processor performs the steps of the edge computing node communication resource modeling method of any of the preceding claims 1 to 5.
7. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the edge computing node communication resource modeling method of any of the preceding claims 1 to 5.
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| 时间敏感网络技术在工业互联网领域应用必要性分析;朱瑾瑜;段世惠;张恒升;于学涛;;电信科学(第05期);全文 * |
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