WO2023116258A1 - 网络遥测方法、装置、系统、设备、存储介质及程序产品 - Google Patents

网络遥测方法、装置、系统、设备、存储介质及程序产品 Download PDF

Info

Publication number
WO2023116258A1
WO2023116258A1 PCT/CN2022/131783 CN2022131783W WO2023116258A1 WO 2023116258 A1 WO2023116258 A1 WO 2023116258A1 CN 2022131783 W CN2022131783 W CN 2022131783W WO 2023116258 A1 WO2023116258 A1 WO 2023116258A1
Authority
WO
WIPO (PCT)
Prior art keywords
oam
information
oam information
classification
network
Prior art date
Application number
PCT/CN2022/131783
Other languages
English (en)
French (fr)
Inventor
黄灿灿
叶何亮
邹洁
肖慧
欧亮
Original Assignee
中国电信股份有限公司
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 中国电信股份有限公司 filed Critical 中国电信股份有限公司
Publication of WO2023116258A1 publication Critical patent/WO2023116258A1/zh

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • 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
    • H04L41/08—Configuration management of networks or network elements
    • H04L41/0803—Configuration setting
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/16—Threshold monitoring

Definitions

  • the present disclosure relates to the field of communication technology, and in particular to a network telemetry method, device, system, electronic equipment, storage medium and computer program product.
  • Telemetry can use user data packets to carry OAM (Operation Administration Maintenance) information of nodes and paths.
  • OAM Operaation Administration Maintenance
  • the OAM information carried includes information such as bit error rates, delay times, and service discards of nodes and paths.
  • a centralized controller sends OAM requirement information to data packets according to real-time network status, so that the device under test collects OAM information according to the OAM requirement information carried in the data packets.
  • This network telemetry method can collect real-time network status information and prevent congestion, but it has particularly high performance requirements for the centralized controller, especially when the network condition is good, a large number of data packets carry repeated and unnecessary OAM information, A large amount of link resources will be wasted.
  • the present disclosure provides a network telemetry method, device, system, electronic equipment, storage medium, and computer program product, which overcomes at least to a certain extent that the network telemetry solutions provided in related technologies will collect a large amount of repetitive and unnecessary OAM information, resulting in The problem of wasting a lot of link resources.
  • a network telemetry method includes: adding OAM classification information to OAM demand information, wherein the OAM classification information at least includes: the classification of the OAM information to be collected, different classification OAM The association relationship between information and the network performance parameter threshold corresponding to each type of OAM information; sending the OAM requirement information to the device under test, wherein the OAM requirement information is used for the device under test to selectively select various types of OAM information collection.
  • the sending the OAM requirement information to the device under test includes: adding the OAM requirement information into a data packet, and sending the data packet carrying the OAM requirement information to the device under test.
  • the sending the OAM requirement information to the device under test includes: adding the OAM requirement information to an OAM programming instruction, and sending the OAM programming instruction carrying the OAM requirement information to the device under test.
  • a network telemetry method including: obtaining OAM requirement information, wherein the OAM requirement information at least includes: the classification of OAM information to be collected, and the association between different types of OAM information Relationships and network performance parameter thresholds corresponding to each type of OAM information; according to the OAM demand information, selectively collect various types of OAM information.
  • the selectively collecting various types of OAM information according to the OAM requirement information includes: selecting various types of OAM information according to the OAM requirement information and network performance parameters for collecting various types of OAM information sexual collection.
  • the selective collection of various types of OAM information according to the OAM requirement information and the network performance parameters of the collection of various types of OAM information includes: when the network performance parameters of the first OAM information collected are less than or equal to the first A network performance parameter threshold corresponding to the OAM information, collecting the first OAM information; when collecting the network performance parameter of the first OAM information greater than the network performance parameter threshold corresponding to the first OAM information, collecting the first OAM information and the second OAM information, wherein, the second OAM information is the OAM information associated with the first OAM information in the OAM demand letter.
  • the first OAM information includes: one or more types of OAM information; the second OAM information includes: one or more types of OAM information associated with the first OAM information.
  • the first OAM information is obtained from OAM requirement information, or from second OAM information collected last time.
  • a network telemetry system including: a source device and a device under test; wherein, the source device is configured to add OAM classification information to OAM requirement information, and The OAM requirement information is sent to the device under test, wherein the OAM classification information includes at least: the classification of the OAM information to be collected, the association relationship between different classifications of OAM information, and the network performance parameter threshold corresponding to each type of OAM information; A testing device, configured to selectively collect various types of OAM information according to the OAM demand information.
  • a network telemetry device including: an OAM classification information configuration module configured to add the OAM classification information to the OAM requirement information, wherein the OAM classification information at least includes: to be collected The classification of OAM information, the association relationship between different classifications of OAM information, and the network performance parameter threshold corresponding to each type of OAM information; the OAM demand information sending module is configured to send the OAM demand information to the device under test, wherein the OAM The demand information is used for the device under test to selectively collect various types of OAM information.
  • a network telemetry device including: an OAM requirement information acquisition module configured to acquire OAM requirement information, wherein the OAM requirement information at least includes: the classification of the OAM information to be collected, The correlation between different types of OAM information and the network performance parameter threshold corresponding to each type of OAM information; the OAM information collection module is configured to selectively collect various types of OAM information according to the OAM demand information.
  • an electronic device which includes: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to execute the The above-mentioned executable instructions are used to execute the above-mentioned network telemetry method.
  • a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the above network telemetry method is implemented.
  • a computer program product including a computer program, when the computer program is executed by a processor, any one of the above network telemetry methods is implemented.
  • the network telemetry method, device, system, electronic equipment, storage medium, and computer program product provided by the embodiments of the present disclosure classify the classification of OAM information, the network performance threshold corresponding to each type of OAM information, and the association between different types of OAM information The relationship is added to the OAM requirement information and sent to the device under test, so that the device under test can selectively collect OAM information of each category according to the network performance parameter thresholds of various OAM information collected, and dynamically adjust the range of network telemetry.
  • FIG. 1 shows a flowchart of a network telemetry method in an embodiment of the present disclosure
  • FIG. 2 shows a schematic diagram of OAM information classification in an embodiment of the present disclosure
  • FIG. 3 shows a flowchart of another network telemetry method in an embodiment of the present disclosure
  • FIG. 4 shows a schematic diagram of a specific implementation scheme of a network telemetry method in the related art
  • FIG. 7 shows a schematic diagram of a network telemetry device in an embodiment of the present disclosure
  • FIG. 8 shows a schematic diagram of a network telemetry device in an embodiment of the present disclosure
  • FIG. 9 shows a structural block diagram of an electronic device in an embodiment of the present disclosure.
  • Fig. 10 shows a schematic diagram of a computer storage medium in an embodiment of the present disclosure.
  • Example embodiments will now be described more fully with reference to the accompanying drawings.
  • Example embodiments may, however, be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concept of example embodiments to those skilled in the art.
  • the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
  • Network telemetry is a technology that remotely collects data at high speed from physical or virtual devices.
  • Network devices periodically and proactively send information such as device interface traffic statistics, CPU or memory data to the collector through the push mode, which provides a more real-time and high-speed data collection function compared to the traditional pull mode of question-and-answer interaction.
  • OAM The full English name is Operation Administration and Maintenance, which translates as "Operation, Maintenance and Management”.
  • an embodiment of the present disclosure provides a network telemetry method, which can be executed by any electronic device with computing and processing capabilities, and the electronic device can be a source device in a network telemetry system, a centralized controller, or a dedicated Devices such as classifiers that configure OAM classification information.
  • Fig. 1 shows a flowchart of a network telemetry method in an embodiment of the present disclosure.
  • the network telemetry method provided in an embodiment of the present disclosure includes the following steps:
  • OAM classification information to the OAM requirement information, where the OAM classification information at least includes: the classification of the OAM information to be collected, the association relationship between different classifications of OAM information, and the network performance parameter threshold corresponding to each type of OAM information.
  • the OAM information to be collected is classified, and the association relationship between different types of OAM information and the corresponding OAM information of each type are configured.
  • Network performance parameter thresholds Adding these OAM classification information to the OAM requirement information sent to the device under test can enable the device under test to selectively collect various types of OAM information according to the real-time network status.
  • S104 Send the OAM requirement information to the device under test, wherein the OAM requirement information is used by the device under test to selectively collect various types of OAM information.
  • the device under test in the embodiment of the present disclosure may be any device under test on the network.
  • the OAM information to be collected is classified. And adding the OAM classification information to be collected to the OAM requirement information delivered to the device under test can enable the device under test to selectively collect various types of OAM information according to the real-time network status.
  • the above S104 can send the OAM requirement information to the device under test in the following two ways:
  • the specific data content of the OAM requirement information (the classification of OAM information, the association relationship between different types of OAM information, and the network performance parameter threshold corresponding to each type of OAM information, etc. ) is stored in the device under test.
  • the classification name of the OAM information to be collected is sent to the device under test, so that the device under test can query the corresponding OAM classification information according to the classification name of the OAM information to be collected. Selective collection of various OAM information.
  • the specific data content of the OAM requirement information (the classification of OAM information, the association relationship between different types of OAM information, and the network performance parameter threshold corresponding to each type of OAM information, etc. ) is stored in the device under test.
  • OAM requirement information the classification of OAM information, the association relationship between different types of OAM information, and the network performance parameter threshold corresponding to each type of OAM information, etc.
  • the device under test When collecting OAM information, only the category name of the OAM information to be collected, the name of the type of association relationship between different categories of OAM information, and the name of the network performance parameter threshold level corresponding to each type of OAM information are sent to the tested device.
  • the device under test so that the device under test can query the corresponding OAM classification information according to the classification name of the OAM information to be collected, the name of the association relationship type between different classifications of OAM information, and the name of the network performance parameter threshold level corresponding to each type of OAM information. Selective collection of various OAM information.
  • the methods of delivering OAM demand information to the device under test include but are not limited to the above three implementation methods. According to different actual situations, those skilled in the art can also adopt other implementation methods, such as , only part of the classification of OAM information is sent to the device under test, and some classifications with related relationships are pre-stored in the device under test.
  • the device under test collects a certain type of OAM information, it can trigger the collection of some OAM information of the association class specified in the information.
  • all OAM classification information such as the classification of OAM information, the association relationship between different classifications of OAM information, and the network performance parameter thresholds corresponding to each type of OAM information can be written into the data message, so that the device under test according to
  • the OAM classification information carried in the data message directly collects various types of OAM information; it can also collect OAM classification information such as the classification of OAM information, the relationship between different types of OAM information, and the network performance parameter thresholds corresponding to each type of OAM information.
  • Pre-stored in the device under test only need to write the OAM classification name into the data message, and then the device under test can query the corresponding classification information according to the OAM classification name carried in the data message, and collect various OAM information. The latter only needs to occupy a small storage space of the device under test for storage, thereby reducing the amount of information carried in the OAM programming instructions.
  • the OAM requirement information may be added to the OAM programming instruction, and the OAM programming instruction carrying the OAM requirement information may be sent to the device under test.
  • the OAM programming instruction may be added to the data packet.
  • OAM classification information such as the classification of OAM information, the association relationship between different classifications of OAM information, and the network performance parameter thresholds corresponding to each type of OAM information can be written into the OAM programming instructions, so that the device under test according to OAM programming instructions directly collect various types of OAM information;
  • OAM classification information such as the classification of OAM information, the relationship between different types of OAM information, and the network performance parameter thresholds corresponding to each type of OAM information can also be stored in the device under test in advance.
  • OAM classification information such as the classification of OAM information, the relationship between different types of OAM information, and the network performance parameter thresholds corresponding to each type of OAM information can also be stored in the device under test in advance.
  • OAM classification information such as the classification of OAM information, the relationship between different types of OAM information, and the network performance parameter thresholds corresponding to each type of OAM information can also be stored in the device under test in advance.
  • this method only need to write the OAM classification name into the OAM programming instruction to allow the device
  • the above-mentioned network telemetry method provided in the embodiments of the present disclosure may further include the following steps: classify the OAM information according to a preset classification method; set the association relationship between different types of OAM information and the Network performance parameter threshold.
  • classifying the OAM information according to the preset classification method one or more classes can be designated as the initial class, that is, after the OAM demand information is sent to the device under test, the OAM information firstly collected by the device under test is classified.
  • the initial class can be specified through an OAM programming command or a data message.
  • the OAM information can be divided into IP-type OAM information, transmission-type OAM information, and application-type OAM information according to the open system interconnection OSI reference model; in other embodiments, the network virtualization model can also be used,
  • the OAM information is divided into OAM information of a virtualized network function (VNF) and OAM information of a virtualized network function instance (VNFI).
  • VNF virtualized network function
  • VNFI virtualized network function instance
  • FIG. 2 shows a schematic diagram of OAM information classification in an embodiment of the present disclosure. As shown in FIG. 2 , OAM information classifications in the same model are linked from top to bottom, and OAM information classifications in different models are linked horizontally.
  • an embodiment of the present disclosure also provides a network telemetry method, which can also be executed by any electronic device with computing and processing capabilities, and the electronic device can be a device under test in a network telemetry system.
  • FIG. 3 shows a flow chart of another network telemetry method in an embodiment of the present disclosure. As shown in FIG. 3, the method includes the following steps:
  • OAM requirement information wherein the OAM requirement information at least includes: categories of OAM information to be collected, correlations between different categories of OAM information, and network performance parameter thresholds corresponding to each type of OAM information.
  • OAM requirement information may be issued by a source device or a centralized controller in the network telemetry system, or a device such as a classifier specially used to configure OAM classification information; in some embodiments, it may be
  • the OAM requirement information is obtained by parsing data packets from these devices; in other embodiments, the OAM requirement information may also be obtained by parsing OAM programming instructions from the devices.
  • S304 Selectively collect various types of OAM information according to the OAM requirement information.
  • the device under test may selectively collect various types of OAM information in the OAM demand information according to the real-time network status.
  • selectively collecting various types of OAM information includes: when the network performance parameters for collecting the first OAM information are less than or equal to the first OAM information The network performance parameter threshold of the first OAM information is collected; when the network performance parameter of the first OAM information collected is greater than the network performance parameter threshold corresponding to the first OAM information, the first OAM information and the second OAM information are collected, wherein the second The OAM information is the OAM information associated with the first OAM information in the OAM demand letter.
  • the first OAM information includes: one or more types of OAM information currently collected; the second OAM information includes: one or more types of OAM information associated with the first OAM information.
  • the first OAM information may be obtained from OAM requirement information, or may be obtained from the second OAM information collected last time.
  • the first OAM information may be obtained according to the OAM classification sequence or priority specified in the OAM requirement information, and the first OAM information may also be obtained according to a predetermined OAM classification sequence or priority.
  • the classification and association relationship of the OAM information to be collected obtained from the classification information is as follows: eight types of OAM information of A, B, C, D, E, F, G, and H are collected, where B, D, and E are the association types of A, C is the association class of B, F is the association class of D, G is the association class of E, and H is the association class of G.
  • the first OAM information obtained from the data message or OAM programming instruction is A class
  • B Class, D, and E are used as the second OAM information. If the network performance parameter of the collected OAM information of Class A is greater than the corresponding network performance parameter threshold of Class A, the collection of OAM information of Class B, D, and E is triggered; at this time Types B, D, and E are used as the first OAM information, and Types C, F, and G are used as the second OAM information.
  • Class F When the performance parameter is greater than the corresponding network performance parameter threshold of Class F, only Class F OAM information is collected; when the network performance parameter of Class G OAM information collected is greater than the network performance parameter threshold corresponding to Class G, the collection of Class H OAM information is triggered. When class H is used as the first OAM information.
  • the classification of the OAM information to be collected may be obtained from data packets or OAM programming instructions: collecting three types of OAM information of A, B, and C, wherein, B is the associated class of A, and C is the associated class of B.
  • D and E are also obtained from the pre-stored OAM classification information in the device under test.
  • the first OAM information obtained from the data message or OAM programming instruction is Class A, it can trigger the collection of OAM information of Class B, Class D, and Class E.
  • Class B, Class D, and Class E are used as the first OAM information, when the network performance parameter of collected Class B OAM information is greater than the corresponding network performance parameter threshold of Class B, trigger the collection of Class C OAM information; when the network performance parameter of collected Class D OAM information is greater than the corresponding network performance parameter threshold of Class D , triggering the collection of Class F OAM information; when the network performance parameter of Class E OAM information collected is greater than the corresponding network performance parameter threshold of Class E, triggering the collection of Class G OAM information; at this time, Class C, Class F, and Class G are the first For the OAM information, the H type is used as the second OAM information, other situations are similar, and will not be repeated here.
  • the OAM information classification triggered by the association in the embodiment of the present disclosure can be a classification within the OAM requirement information, or a classification other than the OAM requirement information. In this way, more association types can be collected according to the network status. OAM information.
  • the network telemetry method obtaineds the classification of the OAM information to be collected, the network performance threshold corresponding to each type of OAM information, and the association relationship between different types of OAM information from the OAM demand information. According to the real-time network status, the OAM information of each category is selectively collected to realize the dynamic adjustment of the range of network telemetry. When the network performance parameters of a certain type of OAM information are greater than the corresponding network performance parameter threshold of this type of OAM information, the associated type of information will be collected.
  • OAM information when the network performance parameter collected for a certain type of OAM information is less than the threshold value of the network performance parameter corresponding to this type of OAM information, the collection of OAM information of the associated type is no longer triggered, and only the OAM information of this type is collected.
  • the network telemetry method further includes the following steps: when the network performance parameter collected from the first OAM information is greater than the network performance parameter threshold corresponding to the first OAM information, The collected first OAM information and the second OAM information are stored in the network telemetry OAM information storage module, so that the device under test extracts the collected first OAM information and the second OAM information from the network telemetry OAM information storage module, and the collected first OAM information The first OAM information and the second OAM information are encapsulated into the data packet.
  • the network telemetry method provided in the embodiments of the present disclosure further includes the following steps: when the network performance parameter of the collected first OAM information is less than or equal to the network performance parameter threshold corresponding to the first OAM information, the collected first OAM information
  • the first OAM information is stored in the network telemetry OAM information storage module, so that the device under test extracts the collected first OAM information from the network telemetry OAM information storage module, and encapsulates the collected first OAM information into a data packet.
  • the network telemetry OAM information storage module is used to store the collected OAM information, so that asynchronous processing of OAM information collection and encapsulation can be realized.
  • FIG 4 shows a schematic diagram of a specific implementation scheme of a network telemetry method in the related art.
  • the network telemetry solution provided in the related art reads the OAM requirement information carried in the user data Whether the performance is good or poor, all OAM information will be collected. When the network condition is good, the message will carry repeated and unnecessary OAM information, resulting in a waste of a lot of link resources. Since Telemetry is sub-second For the OAM information collection method, it is almost impossible for the centralized controller to calculate the network performance and send OAM commands with different requirements to massive packets.
  • Fig. 5 shows a schematic diagram of an implementation scheme of a network telemetry method in an embodiment of the present disclosure.
  • the Telemetry OAM information requirement reading module is used to read the Telemetry OAM information carried in the header of the user data message (including but not limited to Not limited to the classified information of the OAM information to be collected); the Telemetry OAM information collection module is used to selectively collect various types of Telemetry OAM information; the Telemetry OAM information storage module is used to store the collected Telemetry OAM information.
  • the Telemetry OAM information collection module includes an OAM information module (1st to nth OAM information modules shown in Figure 4) and an OAM association relationship module. Each type of OAM information module contains the corresponding type of OAM information, and the network performance parameter threshold corresponding to this type of OAM information is pre-configured; the OAM type association relationship module is used to store the OAM information trigger relationship between various types.
  • the OAM information to be collected includes categories 1 to n, the initial category collected first is pre-configured as category 1, and the latter category is an associated category of the former category (for example, category 2 is an associated category of category 1, The third category is the associated category of the second category, and so on), then according to the network telemetry method provided in the embodiment of the present disclosure, the OAM information can be collected through the following process:
  • the Telemetry OAM information requirement reading module obtains the OAM information that the data message needs to collect. First read the OAM information of the initial class (that is, the first type of OAM information), and judge whether the network performance parameter of the collected first type of OAM information is greater than the corresponding network performance parameter threshold of this class (that is, threshold 1); if the collected first type of OAM information If the network performance parameter of the information is greater than the threshold 1, the collection of the second type of OAM information will be triggered; if the network performance parameter of the collection of the first type of OAM information is less than the threshold 1, the first type of OAM information will be sent to the telemetry OAM information storage module, and the collection will stop OAM information of types 2 to n.
  • the Telemetry OAM information storage module re-encapsulates the stored OAM information into the user data message.
  • the network performance parameter when the network performance parameter is equal to the threshold value of the network performance parameter of the corresponding class, it can be selected to be less than the threshold value, and the OAM information of the associated class is not collected.
  • the network telemetry solution provided in the related art collects all OAM information when the network performance is good, and most of the OAM information has no amount of information; when the network performance is poor, all OAM information is collected , can provide a large amount of information; the OAM information collection scheme provided in the embodiment of the present disclosure, when the network performance is good, only collects the first type of OAM information, and no invalid information; when the network performance is poor, it can be based on the network performance status , Dynamically collect multiple types of OAM information, no invalid information. It can be seen that the network telemetry method provided in the embodiments of the present disclosure can dynamically adjust the collection range of OAM information locally on the device according to the network status, so as to prevent the collection of invalid and repeated OAM information.
  • embodiments of the present disclosure also provide a network telemetry system, as described in the following embodiments. Since the problem-solving principle of the system embodiment is similar to that of the above-mentioned method embodiment, the implementation of the system embodiment can refer to the implementation of the above-mentioned method embodiment, and repeated descriptions will not be repeated.
  • FIG. 6 shows a schematic diagram of a network telemetry system in an embodiment of the present disclosure. As shown in FIG. 6, the system includes: a source device 61 and a device under test 62;
  • the source device 61 is used to add the OAM classification information to the OAM requirement information, and send the OAM requirement information to the device under test 62, wherein the OAM classification information at least includes: the classification of the OAM information to be collected, different classification OAM
  • the device under test 62 is used to selectively collect various types of OAM information according to the OAM demand information.
  • the source device 61 adds the OAM classification information to the OAM requirement information, and sends the OAM requirement information to the device under test 62, so that the device under test 62 Dynamically adjust the network telemetry range according to the real-time network performance parameters.
  • the associated OAM information When the network performance parameters of a certain type of OAM information to be collected are greater than the threshold of network performance parameters corresponding to this type of OAM information, the associated OAM information will be collected; When the network performance parameter of the collected OAM information is less than the network performance parameter threshold corresponding to this type of OAM information, the collection of OAM information of the associated class is no longer triggered, and only the OAM information of this type is collected.
  • the network telemetry device provided in the embodiments of the present disclosure, it is possible to avoid collecting a large amount of repetitive and unnecessary OAM information, greatly saving link resources, and at the same time, it can also offload the workload of the centralized controller, greatly saving the centralized Computing resources for the controller.
  • an embodiment of the present disclosure also provides a network telemetry device, as described in the following embodiments. Since the problem-solving principle of this device embodiment is similar to that of the above-mentioned method embodiment, the implementation of this device embodiment can refer to the implementation of the above-mentioned method embodiment, and repeated descriptions will not be repeated.
  • FIG. 7 shows a schematic diagram of a network telemetry device in an embodiment of the present disclosure.
  • the device includes: an OAM classification information configuration module 71 and an OAM demand information delivery module 72 .
  • the OAM classification information configuration module 71 is used to add the OAM classification information to the OAM demand information, wherein the OAM classification information at least includes: the classification of the OAM information to be collected, the association relationship between different classifications of OAM information, and each type of OAM information Corresponding network performance parameter threshold; OAM requirement information delivery module 72, configured to send OAM requirement information to the device under test, wherein the OAM requirement information is used for the device under test to selectively collect various types of OAM information.
  • OAM classification information configuration module 71 and OAM demand information delivery module 72 correspond to S102-S104 in the method embodiment. It is limited to the content disclosed in the above method embodiments. It should be noted that, as a part of the apparatus, the above-mentioned modules can be executed in a computer system such as a set of computer-executable instructions.
  • the above-mentioned network telemetry device classifies OAM information through the OAM classification information configuration module 71, and configures the network performance threshold corresponding to each type of OAM information and the association between different types of OAM information relationship and other OAM classification information, and add these OAM classification information to the OAM demand information, and send it to the device under test through the OAM demand information delivery module 72, so that the device under test dynamically adjusts the network telemetry range according to the real-time network performance parameters.
  • the OAM information of the associated class When the network performance parameter of a certain type of OAM information to be collected is greater than the threshold value of the network performance parameter corresponding to this type of OAM information, the OAM information of the associated class will be collected; when the network performance parameter of a certain type of OAM information to be collected is smaller than the corresponding OAM information When the corresponding network performance parameter threshold is reached, the collection of OAM information of the associated class is no longer triggered, and only the OAM information of this class is collected.
  • the network telemetry device provided in the embodiments of the present disclosure, it is possible to avoid collecting a large amount of repetitive and unnecessary OAM information, greatly saving link resources, and at the same time, it can also offload the workload of the centralized controller, greatly saving the centralized Computing resources for the controller.
  • the OAM requirement information delivery module 72 is further configured to: add the OAM requirement information to the data packet, and send the data packet carrying the OAM requirement information to the device under test.
  • the OAM requirement information delivery module 72 is further configured to: add the OAM requirement information to the OAM programming instruction, and send the OAM programming instruction carrying the OAM requirement information to the device under test.
  • an embodiment of the present disclosure also provides a network telemetry device, as described in the following embodiments. Since the problem-solving principle of this device embodiment is similar to that of the above-mentioned method embodiment, the implementation of this device embodiment can refer to the implementation of the above-mentioned method embodiment, and repeated descriptions will not be repeated.
  • FIG. 8 shows a schematic diagram of a network telemetry device in an embodiment of the present disclosure.
  • the device includes: an OAM requirement information acquisition module 81 and an OAM information acquisition module 82 .
  • the OAM demand information acquisition module 81 is used to acquire OAM demand information, wherein the OAM demand information at least includes: the classification of OAM information to be collected, the association relationship between different types of OAM information, and the network performance corresponding to each type of OAM information Parameter threshold; OAM information collection module 82, configured to selectively collect various types of OAM information according to OAM demand information.
  • the above-mentioned network telemetry device obtaineds OAM requirements including OAM categories, network performance thresholds corresponding to each type of OAM information, and associations between different categories of OAM information through the OAM demand information acquisition module 81. After classifying the OAM demand information of the information, the various OAM information in the OAM demand information is selectively collected according to the real-time network status to realize the dynamic adjustment of the network telemetry range.
  • the OAM information of the associated class When the network performance parameters of a certain type of OAM information are greater than the When the corresponding network performance parameter threshold is reached, the OAM information of the associated class will be collected; when the network performance parameter of a certain type of OAM information collected is less than the network performance parameter threshold corresponding to this type of OAM information, the collection of OAM information of the associated class will not be triggered again. Only OAM information of this type is collected.
  • the OAM information collection module 82 is further configured to selectively collect various types of OAM information according to OAM requirement information and network performance parameters for collecting various types of OAM information.
  • the OAM information collection module 82 is also used to: selectively collect various types of OAM information according to OAM demand information and network performance parameters collected from various types of OAM information, including: when collecting the network performance parameters of the first OAM information The parameter is less than or equal to the network performance parameter threshold corresponding to the first OAM information, and the first OAM information is collected; when the network performance parameter of the first OAM information collected is greater than the network performance parameter threshold corresponding to the first OAM information, the first OAM information and the network performance parameter threshold corresponding to the first OAM information are collected.
  • the second OAM information wherein the second OAM information is the OAM information associated with the first OAM information in the OAM demand letter.
  • FIG. 9 An electronic device 900 according to this embodiment of the present disclosure is described below with reference to FIG. 9 .
  • the electronic device 900 shown in FIG. 9 is only an example, and should not limit the functions and scope of use of the embodiments of the present disclosure.
  • electronic device 900 takes the form of a general-purpose computing device.
  • Components of the electronic device 900 may include but not limited to: at least one processing unit 910 , at least one storage unit 920 , and a bus 930 connecting different system components (including the storage unit 920 and the processing unit 910 ).
  • the storage unit stores program codes, and the program codes can be executed by the processing unit 910, so that the processing unit 910 executes various exemplary methods according to the present disclosure described in the “Exemplary Methods” section of this specification. Implementation steps.
  • the processing unit 910 may perform the following steps in the above method embodiment: adding the OAM classification information to the OAM requirement information, wherein,
  • the OAM classification information at least includes: the classification of OAM information to be collected, the association relationship between different classifications of OAM information, and the network performance parameter threshold corresponding to each type of OAM information; the OAM requirement information is sent to the device under test, wherein the OAM requirement information is used Selectively collect various types of OAM information on the device under test.
  • the processing unit 910 may also perform the following steps in the above method embodiment: adding the OAM requirement information to the data packet, and sending the data packet carrying the OAM requirement information to the device under test.
  • the processing unit 910 may also perform the following steps in the above method embodiment: adding the OAM requirement information to the OAM programming instruction, and sending the OAM programming instruction carrying the OAM requirement information to the device under test.
  • the processing unit 910 can perform the following steps in the above method embodiment: obtain OAM requirement information, wherein the OAM requirement information at least includes: the classification of the OAM information to be collected, different Classify the relationship between OAM information and the network performance parameter threshold corresponding to each type of OAM information; according to the OAM demand information, selectively collect various types of OAM information.
  • the processing unit 910 may also perform the following steps in the foregoing method embodiments: selectively collect various types of OAM information according to OAM requirement information and network performance parameters for collecting various types of OAM information.
  • the processing unit 910 may also perform the following steps in the foregoing method embodiments: when the network performance parameter of the collected first OAM information is less than or equal to the network performance parameter threshold corresponding to the first OAM information, collect the first OAM information; When the network performance parameter of the collected first OAM information is greater than the network performance parameter threshold corresponding to the first OAM information, collect the first OAM information and the second OAM information, wherein the second OAM information is the OAM demand letter and the first OAM information OAM information with an association relationship.
  • the storage unit 920 may include a readable medium in the form of a volatile storage unit, such as a random access storage unit (RAM) 9201 and/or a cache storage unit 9202 , and may further include a read-only storage unit (ROM) 9203 .
  • RAM random access storage unit
  • ROM read-only storage unit
  • the storage unit 920 may also include a program/utility 9204 having a set (at least one) of program modules 9205, such program modules 9205 including but not limited to: an operating system, one or more application programs, other program modules, and program data, Implementations of networked environments may be included in each or some combination of these examples.
  • Bus 930 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local area using any of a variety of bus structures. bus.
  • the electronic device 900 can also communicate with one or more external devices 940 (such as keyboards, pointing devices, Bluetooth devices, etc.), and can also communicate with one or more devices that enable the user to interact with the electronic device 900, and/or communicate with Any device (eg, router, modem, etc.) that enables the electronic device 900 to communicate with one or more other computing devices. Such communication may occur through input/output (I/O) interface 950 .
  • the electronic device 900 can also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN) and/or a public network such as the Internet) through the network adapter 960 .
  • networks such as a local area network (LAN), a wide area network (WAN) and/or a public network such as the Internet
  • the network adapter 960 communicates with other modules of the electronic device 900 through the bus 930 .
  • other hardware and/or software modules may be used in conjunction with electronic device 900, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives And data backup storage system, etc.
  • the example implementations described here can be implemented by software, or by combining software with necessary hardware. Therefore, the technical solutions according to the embodiments of the present disclosure can be embodied in the form of software products, and the software products can be stored in a non-volatile storage medium (which can be CD-ROM, U disk, mobile hard disk, etc.) or on the network , including several instructions to make a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) execute the method according to the embodiments of the present disclosure.
  • a computing device which may be a personal computer, a server, a terminal device, or a network device, etc.
  • the process described above with reference to the flowchart can be implemented as a computer program product, and the computer program product includes: a computer program, when the computer program is executed by a processor, any of the above-mentioned steps can be implemented.
  • Network telemetry methods
  • Computer-readable storage media in this disclosure may include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), Erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above.
  • RAM random access memory
  • ROM read only memory
  • EPROM or flash memory Erasable programmable read-only memory
  • CD-ROM portable compact disk read-only memory
  • magnetic storage device or any suitable combination of the above.
  • a computer-readable storage medium may include a data signal carrying readable program code in baseband or as part of a carrier wave traveling as a data signal. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing.
  • a readable signal medium may also be any readable medium other than a readable storage medium that can transmit, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device.
  • steps of the methods of the present disclosure are depicted in the drawings in a particular order, there is no requirement or implication that the steps must be performed in that particular order, or that all illustrated steps must be performed to achieve the desired result. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step for execution, and/or one step may be decomposed into multiple steps for execution, etc.
  • the example embodiments described here can be implemented by software, or by combining software with necessary hardware. Therefore, the technical solutions according to the embodiments of the present disclosure can be embodied in the form of software products, and the software products can be stored in a non-volatile storage medium (which can be CD-ROM, U disk, mobile hard disk, etc.) or on the network , including several instructions to make a computing device (which may be a personal computer, a server, a mobile terminal, or a network device, etc.) execute the method according to the embodiments of the present disclosure.
  • a non-volatile storage medium which can be CD-ROM, U disk, mobile hard disk, etc.
  • a computing device which may be a personal computer, a server, a mobile terminal, or a network device, etc.

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Environmental & Geological Engineering (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

本公开提供了一种网络遥测方法、装置、系统、电子设备、存储介质及计算机程序产品，涉及通信技术领域。该方法包括：将OAM分类信息添加到OAM需求信息中，其中，OAM分类信息至少包含：待采集OAM信息的分类、不同分类OAM信息之间的关联关系以及每类OAM信息对应的网络性能参数阈值；将OAM需求信息发送给被测设备，其中，OAM需求信息用于被测设备对各类OAM信息进行选择性采集。本公开能够避免采集到大量重复且不必要的OAM信息，节省链路资源。

Description

网络遥测方法、装置、系统、设备、存储介质及程序产品
相关申请的交叉引用
本公开要求于2021年12月24日提交的申请号为202111601524.2、名称为“网络遥测方法、装置、系统、电子设备及存储介质”的中国专利申请的优先权，该中国专利申请的全部内容通过引用全部并入本文。
技术领域
本公开涉及通信技术领域，尤其涉及一种网络遥测方法、装置、系统、电子设备、存储介质及计算机程序产品。
背景技术
Telemetry(网络遥测)可以使用用户数据报文携带节点和路径的OAM(Operation Administration Maintenance，操作管理维护)信息，携带的OAM信息包括节点和路径的误码率、延迟时间、业务丢弃等信息。
相关技术中提供的网络遥测方法是通过集中式控制器根据实时网络状态给数据报文下发OAM需求信息，以便被测设备根据数据报文中携带的OAM需求信息采集OAM信息。这种网络遥测方法可以采集到实时的网络状态信息，预防拥塞，但对集中式控制器的性能要求特别高，尤其在网络状况较好时，大量数据报文携带重复且不必要的OAM信息，会造成大量链路资源的浪费。
需要说明的是，在上述背景技术部分公开的信息仅用于加强对本公开的背景的理解，因此可以包括不构成对本领域普通技术人员已知的现有技术的信息。
发明内容
本公开提供一种网络遥测方法、装置、系统、电子设备、存储介质及计算机程序产品，至少在一定程度上克服相关技术中提供的网络遥测方案会采集到大量重复且不必要的OAM信息，造成大量链路资源浪费的问题。
本公开的其他特性和优点将通过下面的详细描述变得显然，或部分地通过本公开的实践而习得。
根据本公开的一个方面，提供了一种网络遥测方法，该方法包括：将OAM分类信息添加到OAM需求信息中，其中，所述OAM分类信息至少包含：待采集OAM信息的分类、不同分类OAM信息之间的关联关系以及每类OAM信息对应的网络性能参数阈值；将OAM需求信息发送给被测设备，其中，所述OAM需求信息用于所述被测设备对各类OAM信息进行选择性采集。
在一些实施例中，所述将OAM需求信息发送给被测设备包括：将所述OAM需求信息添加到数据报文中，将携带所述OAM需求信息的数据报文发送给被测设备。
在一些实施例中，所述将OAM需求信息发送给被测设备包括：将所述OAM需求信息添加到OAM编程指令中，将携带所述OAM需求信息的OAM编程指令发送给被测设备。
根据本公开的另一个方面，还提供了一种网络遥测方法，包括：获取OAM需求信息，其中，所述OAM需求信息中至少包含：待采集OAM信息的分类、不同分类OAM信息之间的关联关系以及每类OAM信息对应的网络性能参数阈值；根据所述OAM需求信息，对各类OAM信息进行选择性采集。
在一些实施例中，所述根据所述OAM需求信息，对各类OAM信息进行选择性采集包括：根据所述OAM需求信息和采集各类OAM信息的网络性能参数，对各类OAM信息进行选择性采集。
在一些实施例中，所述根据所述OAM需求信息和采集各类OAM信息的网络性能参数，对各类OAM信息进行选择性采集包括：当采集第一OAM信息的网络性能参数小于或等于第一OAM信息对应的网络性能参数阈值，采集第一OAM信息；当采集第一OAM信息的网络性能参数大于第一OAM信息对应的网络性能参数阈值时，采集第一OAM信息和第二OAM信息，其中，所述第二OAM信息为所述OAM需求信中与第一OAM信息具有关联关系的OAM信息。
在一些实施例中，所述第一OAM信息包括：一类或多类OAM信息；所述第二OAM信息包括：与第一OAM信息具有关联关系的一类或多类OAM信息。
在一些实施例中，所述第一OAM信息从OAM需求信息中获取，或从上一次采集的第二OAM信息中获取。
根据本公开的另一个方面，还提供了一种网络遥测系统，包括：源端设备和被测设备；其中，所述源端设备，用于将OAM分类信息添加到OAM需求信息中，并将OAM需求信息发送给被测设备，其中，所述OAM分类信息至少包含：待采集OAM信息的分类、不同分类OAM信息之间的关联关系以及每类OAM信息对应的网络性能参数阈值；所述被测设备，用于根据所述OAM需求信息对各类OAM信息进行选择性采集。
根据本公开的另一个方面，还提供了一种网络遥测装置，包括：OAM分类信息配置模块，设置为将OAM分类信息添加到OAM需求信息中，其中，所述OAM分类信息至少包含：待采集OAM信息的分类、不同分类OAM信息之间的关联关系以及每类OAM信息对应的网络性能参数阈值；OAM需求信息下发模块，设置为将OAM需求信息发送给被测设备，其中，所述OAM需求信息用于所述被测设备对各类OAM信息进行选择性采集。
根据本公开的另一个方面，还提供了一种网络遥测装置，包括：OAM需求信息获取模块，设置为获取OAM需求信息，其中，所述OAM需求信息中至少包含：待采集OAM 信息的分类、不同分类OAM信息之间的关联关系以及每类OAM信息对应的网络性能参数阈值；OAM信息采集模块，设置为根据所述OAM需求信息，对各类OAM信息进行选择性采集。
根据本公开的另一个方面，还提供了一种电子设备，该电子设备包括：处理器；以及存储器，用于存储所述处理器的可执行指令；其中，所述处理器配置为经由执行所述可执行指令来执行上述的网络遥测方法。
根据本公开的另一个方面，还提供了一种计算机可读存储介质，其上存储有计算机程序，该计算机程序被处理器执行时实现上述的网络遥测方法。
根据本公开的另一个方面，还提供了一种计算机程序产品，包括计算机程序，所述计算机程序被处理器执行时实现上述任意一项的网络遥测方法。
本公开的实施例所提供的网络遥测方法、装置、系统、电子设备、存储介质及计算机程序产品，将OAM信息的分类、每类OAM信息对应的网络性能阈值以及不同分类OAM信息之间的关联关系添加到OAM需求信息中，下发给被测设备，使得被测设备能够根据采集各类OAM信息的网络性能参数阈值对各分类OAM信息进行选择性采集，实现动态调整网络遥测范围，当采集某类OAM信息的网络性能参数大于该类OAM信息对应的网络性能参数阈值时，才会采集关联类的OAM信息；当采集某类OAM信息的网络性能参数小于该类OAM信息对应的网络性能参数阈值时，不再触发采集关联类的OAM信息，仅采集该类的OAM信息。
通过本公开实施例中，能够避免采集大量重复且不必要的OAM信息，极大节省链路资源，同时，也可以分流集中式控制器的工作量，极大节省集中控制器的计算资源。
应当理解的是，以上的一般描述和后文的细节描述仅是示例性和解释性的，并不能限制本公开。
附图说明
此处的附图被并入说明书中并构成本说明书的一部分，示出了符合本公开的实施例，并与说明书一起用于解释本公开的原理。显而易见地，下面描述中的附图仅仅是本公开的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1示出本公开实施例中一种网络遥测方法流程图；
图2示出本公开实施例中一种OAM信息分类示意图；
图3示出本公开实施例中又一种网络遥测方法流程图；
图4示出相关技术中一种网络遥测方法的具体实现方案示意图；
图5示出本公开实施例中一种网络遥测方法的实现方案示意图；
图6示出本公开实施例中一种网络遥测系统示意图；
图7示出本公开实施例中一种网络遥测装置示意图；
图8示出本公开实施例中一种网络遥测装置示意图；
图9示出本公开实施例中一种电子设备的结构框图；
图10示出本公开实施例中一种计算机存储介质示意图。
具体实施方式
现在将参考附图更全面地描述示例实施方式。然而，示例实施方式能够以多种形式实施，且不应被理解为限于在此阐述的范例；相反，提供这些实施方式使得本公开将更加全面和完整，并将示例实施方式的构思全面地传达给本领域的技术人员。所描述的特征、结构或特性可以以任何合适的方式结合在一个或更多实施方式中。
此外，附图仅为本公开的示意性图解，并非一定是按比例绘制。图中相同的附图标记表示相同或类似的部分，因而将省略对它们的重复描述。附图中所示的一些方框图是功能实体，不一定必须与物理或逻辑上独立的实体相对应。可以采用软件形式来实现这些功能实体，或在一个或多个硬件模块或集成电路中实现这些功能实体，或在不同网络和/或处理器装置和/或微控制器装置中实现这些功能实体。
为便于理解，在介绍本公开实施例之前，首先对本公开实施例中涉及到的几个名词进行解释如下：
Telemetry：即网络遥测，是一项远程地从物理设备或虚拟设备上高速采集数据的技术。网络设备通过推模式周期性的主动向采集器上送设备的接口流量统计、CPU或内存数据等信息，相对传统拉模式的一问一答式交互，提供了更实时更高速的数据采集功能。
OAM：英文全称为Operation Administration and Maintenance，译为“操作维护管理”。
下面结合附图及实施例对本示例实施方式进行详细说明。
首先，本公开实施例中提供了一种网络遥测方法，该方法可以由任意具备计算处理能力的电子设备执行，该电子设备可以是网络遥测系统中的源端设备、集中控制器或专门用于对OAM分类信息进行配置的分类器等设备。
图1示出本公开实施例中一种网络遥测方法流程图，如图1所示，本公开实施例中提供的网络遥测方法包括如下步骤：
S102，将OAM分类信息添加到OAM需求信息中，其中，OAM分类信息至少包含：待采集OAM信息的分类、不同分类OAM信息之间的关联关系以及每类OAM信息对应的网络性能参数阈值。
需要说明的是，本公开实施例中，为了避免采集到大量重复且不必要的OAM信息，对待采集的OAM信息进行分类，并配置不同分类OAM信息之间的关联关系以及每类OAM信息对应的网络性能参数阈值，将这些OAM分类信息添加到下发给被测设备的OAM需求信息中，能够使得被测设备根据实时网络状态对各类OAM信息 进行选择性采集。
S104，将OAM需求信息发送给被测设备，其中，OAM需求信息用于被测设备对各类OAM信息进行选择性采集。
需要说明的是，本公开实施例中被测设备可以是网络上任一个被测的设备，在进行网络遥测时，为了避免采集到大量重复且不必要的OAM信息，对待采集的OAM信息进行分类，并将待采集的OAM分类信息添加到下发给被测设备的OAM需求信息中，能够使得被测设备根据实时网络状态对各类OAM信息选择性采集。
在具体实施时，上述S104可以通过如下两种方式将OAM需求信息发送给被测设备：
在本公开的一种实施方式中，可将OAM需求信息的具体数据内容(OAM信息的分类、不同分类OAM信息之间的关联关系以及每类OAM信息对应的网络性能参数阈值等OAM分类信息)发送给被测设备，使得被测设备根据接收到的OAM需求信息中包含的OAM分类信息，对各类OAM信息进行选择性采集。
在本公开的另一种实施方式中，可预先OAM需求信息的具体数据内容(OAM信息的分类、不同分类OAM信息之间的关联关系以及每类OAM信息对应的网络性能参数阈值等OAM分类信息)存储于被测设备，在采集OAM信息时，仅将待采集OAM信息的分类名称发送给被测设备，以便被测设备根据待采集OAM信息的分类名称，查询出相应的OAM分类信息，对各类OAM信息进行选择性采集。
在本公开的另一种实施方式中，可预先OAM需求信息的具体数据内容(OAM信息的分类、不同分类OAM信息之间的关联关系以及每类OAM信息对应的网络性能参数阈值等OAM分类信息)存储于被测设备，在采集OAM信息时，仅将待采集OAM信息的分类名称、不同分类OAM信息之间的关联关系类型名称以及每类OAM信息对应的网络性能参数阈值等级名称发送给被测设备，以便被测设备根据待采集OAM信息的分类名称、不同分类OAM信息之间的关联关系类型名称以及每类OAM信息对应的网络性能参数阈值等级名称，查询出相应的OAM分类信息，对各类OAM信息进行选择性采集。
需要注意的是，本公开实施例中向被测设备下发OAM需求信息的方式包括但不限于上述三种实施方式，根据实际情况的不同，本领域技术人员还可采用其他的实施方式，例如，仅将部分OAM信息的分类下发给被测设备，将具有关联关系的一些分类预先存储于被测设备，当被测设备对某类OAM信息进行采集时，可触发采集一些未在OAM需求信息中指定的关联类的OAM信息。
由上可知，本公开的实施例中提供的网络遥测方法，将待采集OAM信息的分类、每类OAM信息对应的网络性能阈值以及不同分类OAM信息之间的关联关系添加到OAM需求信息中，下发给被测设备，使得被测设备能够根据采集各类OAM信息的网络性能参数阈值对各分类OAM信息进行选择性采集，实现动态调整网络遥测范围， 当采集某类OAM信息的网络性能参数大于该类OAM信息对应的网络性能参数阈值时，才会采集关联类的OAM信息；当采集某类OAM信息的网络性能参数小于该类OAM信息对应的网络性能参数阈值时，不再触发采集关联类的OAM信息，仅采集该类的OAM信息。
通过本公开实施例中提供的网络遥测方法，能够避免采集大量重复且不必要的OAM信息，极大节省链路资源，同时，也可以分流集中式控制器的工作量，极大节省集中控制器的计算资源。
在一些实施例中，上述S104中，可以将OAM需求信息添加到数据报文中，将携带OAM需求信息的数据报文发送给被测设备。
在具体实施时，可以将OAM信息的分类、不同分类OAM信息之间的关联关系以及每类OAM信息对应的网络性能参数阈值等OAM分类信息全部写入到数据报文中，使得被测设备根据数据报文中携带的OAM分类信息直接对各类OAM信息进行采集；也可以将OAM信息的分类、不同分类OAM信息之间的关联关系以及每类OAM信息对应的网络性能参数阈值等OAM分类信息预先存放于被测设备中，只需要将OAM分类名称写入数据报文即可让被测设备根据数据报文中携带OAM分类名称查询相应的分类信息，对各类OAM信息进行采集。后者，仅需要占用被测设备很少的存储空间来存储即可，从而减少OAM编程指令中携带的信息量。
在一些实施例中，上述S104中，可以将OAM需求信息添加到OAM编程指令中，将携带OAM需求信息的OAM编程指令发送给被测设备。在本公开的一个实施例中，OAM编程指令可以是添加到数据报文中的。
在具体实施时，可以将OAM信息的分类、不同分类OAM信息之间的关联关系以及每类OAM信息对应的网络性能参数阈值等OAM分类信息全部写入到OAM编程指令中，使得被测设备根据OAM编程指令直接对各类OAM信息进行采集；也可以将OAM信息的分类、不同分类OAM信息之间的关联关系以及每类OAM信息对应的网络性能参数阈值等OAM分类信息预先存放于被测设备中，只需要将OAM分类名称写入OAM编程指令即可让被测设备根据OAM编程指令中携带OAM分类名称查询相应的分类信息，对各类OAM信息进行采集。后者，仅需要占用被测设备很少的存储空间来存储即可，从而减少OAM编程指令中携带的信息量。
需要说明是的，上述数据报文是指网络上传输的用户数据报文，使用数据报文携带网络内各节点和路径的OAM信息，能够在不对网络造成影响的情况下，根据数据报文携带的OAM信息实时获取网络状态。根据网络状态不同，通常需要数据报文采集不同的OAM信息，上述OAM需求信息是指数据报文所需采集的OAM信息。
在一些实施例中，本公开实施例中提供的上述网络遥测方法还可包括如下步骤：按照预设分类方法对OAM信息进行分类；设置不同分类OAM信息之间的关联关系以及每类OAM信息的网络性能参数阈值。在按照预设分类方法对OAM信息进行分 类后，可指定其中一类或多类为初始类，也即OAM需求信息下发给被测设备后，由被测设备首先采集的OAM信息分类。在本公开的一个实施例中，可通过OAM编程指令或数据报文指定初始类。
需要说明的是，采用的分类方法不同，OAM信息的分类结果也不同，本公开实施例对具体采用的分类方法不作限定。在一些实施例中，可以按照开放式系统互连OSI参考模型将OAM信息划分为IP类OAM信息、传输类OAM信息和应用类OAM信息；在另外一些实施例中，还可以网络虚拟化模型，将OAM信息划分为虚拟化网络功能VNF类OAM信息和虚拟化网络功能实例VNFI类OAM信息。
进一步地，在一些实施例中，还可以结合多种分类方法对OAM信息进行分类，使得分类后的OAM信息之间的关联关系，不仅包括同一分类模型内纵向联动关系，还包括不同分类模型之间的横向联动关系。
图2示出本公开实施例中一种OAM信息分类示意图，如图2所示，处于同一模型内的OAM信息分类自上而下联动，处于不同模型内的OAM信息分类横向联动。
其次，本公开实施例中还提供了一种网络遥测方法，该方法也可以由任意具备计算处理能力的电子设备执行，该电子设备可以是网络遥测系统中的被测设备。
图3示出本公开实施例中又一种网络遥测方法流程图，如图3所示，该方法包括如下步骤：
S302，获取OAM需求信息，其中，OAM需求信息中至少包含：待采集OAM信息的分类、不同分类OAM信息之间的关联关系以及每类OAM信息对应的网络性能参数阈值。
需要说明的是，上述OAM需求信息可以由网络遥测系统中的源端设备或集中控制器或专门用于对OAM分类信息进行配置的分类器等设备下发的；在一些实施例中，可以是通过解析来自这些设备的数据报文获取到OAM需求信息的；在另一些实施例中，还可以是通过解析来自设备的OAM编程指令获取到OAM需求信息的。
S304，根据OAM需求信息，对各类OAM信息进行选择性采集。
在具体实施时，上述S304中，被测设备可根据实时网络状态，对OAM需求信息中的各类OAM信息进行选择性采集。
因而，在一些实施例中，上述S304可通过如下步骤来实现：根据OAM需求信息和采集各类OAM信息的网络性能参数，对各类OAM信息进行选择性采集。
在一些实施例中，根据OAM需求信息和采集各类OAM信息的网络性能参数，对各类OAM信息进行选择性采集包括：当采集第一OAM信息的网络性能参数小于或等于第一OAM信息对应的网络性能参数阈值，采集第一OAM信息；当采集第一OAM信息的网络性能参数大于第一OAM信息对应的网络性能参数阈值时，采集第一OAM信息和第二OAM信息，其中，第二OAM信息为OAM需求信中与第一OAM信息具有关联关系的OAM信息。
需要说明的是，上述第一OAM信息包括：当前采集的一类或多类OAM信息；上述第二OAM信息包括：与第一OAM信息具有关联关系的一类或多类OAM信息。在本公开的一个实施例中，第一OAM信息可以是从OAM需求信息中获取的，也可以是从上一次采集的第二OAM信息中获取的。在本公开的一个实施例中，可以根据OAM需求信息中指定的OAM分类顺序或优先级获取第一OAM信息，还可以根据预定的OAM分类顺序或优先级获取第一OAM信息。对于第一OAM信息(当前采集的类)和第二OAM信息(当前采集类的关联类)均包含一类OAM信息的情况，从数据报文或OAM编程指令或被测设备中预先存储的OAM分类信息中获取到待采集OAM信息的分类及关联关系为：采集A、B、C三类OAM信息，其中，B为A的关联类，C为B的关联类，当从数据报文或OAM编程指令中获取到第一OAM信息为A类时，若采集A类OAM信息的网络性能参数大于A类对应的网络性能参数阈值，则触发采集B类OAM信息；此时，B类作为当前采集的第一OAM信息，当采集B类OAM信息的网络性能参数大于该类对应的网络性能参数阈值时，触发采集C类OAM信息；此时，C类作为当前采集的第一OAM信息，由于已经没有其他待采集的OAM信息，则无论采集C类OAM信息的网络性能参数大于C类对应的网络性能参数阈值，还是小于C类对应的网络性能参数阈值，仅采集C类OAM信息即可。
对于第一OAM信息(当前采集的类)和第二OAM信息(当前采集类的关联类)均包含多类OAM信息的情况，从数据报文或OAM编程指令或被测设备中预先存储的OAM分类信息中获取到待采集OAM信息的分类及关联关系为：采集A、B、C、D、E、F、G、H八类OAM信息，其中，B、D、E为A的关联类，C为B的关联类，F为D的关联类，G为E的关联类，H为G的关联类，当从数据报文或OAM编程指令中获取到第一OAM信息为A类时，B类、D类、E类作为第二OAM信息，若采集A类OAM信息的网络性能参数大于A类对应的网络性能参数阈值，则触发采集B类、D类、E类的OAM信息；此时B类、D类、E类作为第一OAM信息，C类、F类、G类作为第二OAM信息，当采集B类OAM信息的网络性能参数大于B类对应的网络性能参数阈值时，触发采集C类OAM信息；当采集D类OAM信息的网络性能参数大于D类对应的网络性能参数阈值时，触发采集F类OAM信息；当采集E类OAM信息的网络性能参数大于E类对应的网络性能参数阈值时，触发采集G类OAM信息；此时，F类、G类作为第一OAM信息，H类作为第二OAM信息，由于F类没有关联类，则无论采集F类OAM信息的网络性能参数是否大于F类对应的网络性能参数阈值时，仅采集F类OAM信息；当采集G类OAM信息的网络性能参数大于G类对应的网络性能参数阈值时，触发采集H类OAM信息，此时H类作为第一OAM信息。
在另外一些实施例中，可能从数据报文或OAM编程指令获取到待采集OAM信息的分类为：采集A、B、C三类OAM信息，其中，B为A的关联类，C为B的关 联类，但从被测设备中预先存储的OAM分类信息中还获取到D、E为A的关联类，F为D的关联类，G为E的关联类，H为G的关联类，当从数据报文或OAM编程指令中获取到第一OAM信息为A类时，可触发采集B类、D类、E类的OAM信息，此时，B类、D类、E类作为第一OAM信息，当采集B类OAM信息的网络性能参数大于B类对应的网络性能参数阈值时，触发采集C类OAM信息；当采集D类OAM信息的网络性能参数大于D类对应的网络性能参数阈值时，触发采集F类OAM信息；当采集E类OAM信息的网络性能参数大于E类对应的网络性能参数阈值时，触发采集G类OAM信息；此时，C类、F类、G类作为第一OAM信息，H类作为第二OAM信息，其他情况类似，此处不再赘述。
可以看出，本公开实施例中关联触发的OAM信息分类可以是OAM需求信息内的分类，也可以是OAM需求信息以外的分类，通过这种方式，可根据网络状态，采集到更多关联类的OAM信息。
由上可知，本公开的实施例中提供的网络遥测方法，从OAM需求信息中获取待采集OAM信息的分类、每类OAM信息对应的网络性能阈值以及不同分类OAM信息之间的关联关系，能够根据实时网络状态对各分类OAM信息进行选择性采集，实现动态调整网络遥测范围，当采集某类OAM信息的网络性能参数大于该类OAM信息对应的网络性能参数阈值时，才会采集关联类的OAM信息；当采集某类OAM信息的网络性能参数小于该类OAM信息对应的网络性能参数阈值时，不再触发采集关联类的OAM信息，仅采集该类的OAM信息。
通过本公开实施例中提供的网络遥测方法，能够避免采集大量重复且不必要的OAM信息，极大节省链路资源，同时，也可以分流集中式控制器的工作量，极大节省集中控制器的计算资源。
在一些实施例中，在执行上述S304之后，本公开实施例中提供的网络遥测方法还包括如下步骤：当采集第一OAM信息的网络性能参数大于第一OAM信息对应的网络性能参数阈值时，将采集的第一OAM信息和第二OAM信息存储到网络遥测OAM信息存储模块，以便被测设备从网络遥测OAM信息存储模块中提取采集的第一OAM信息和第二OAM信息，将采集的第一OAM信息和第二OAM信息封装到数据报文中。
在一些实施例中，本公开实施例中提供的网络遥测方法还包括如下步骤：当采集第一OAM信息的网络性能参数小于或等于第一OAM信息对应的网络性能参数阈值时，将采集的第一OAM信息存储到网络遥测OAM信息存储模块，以便被测设备从网络遥测OAM信息存储模块中提取采集的第一OAM信息，并将采集的第一OAM信息封装到数据报文中。
本公开实施例中，利用网络遥测OAM信息存储模块存储采集的OAM信息，能够实现OAM信息采集与封装的异步处理。
图4示出相关技术中一种网络遥测方法的具体实现方案示意图，如图4所示，相关技术中提供的网络遥测方案，在读取用户数据报文中携带的OAM需求信息后，无论网络性能是好还是差，都将采集所有的OAM信息，而在网络状况较好时，报文会携带重复的且不必要的OAM信息，造成大量链路资源的浪费，鉴于Telemetry是亚秒级的OAM信息收集方式，对于集中式控制器来说要计算网络性能并给海量的报文下发不同需求的OAM指令的携带需求，是现阶段几乎不可能完成的任务。
图5示出本公开实施例中一种网络遥测方法的实现方案示意图，如图5所示，Telemetry OAM信息需求读取模块用于读取用户数据报文头中携带的Telemetry OAM信息(包括但不限于待采集OAM信息的分类信息)；Telemetry OAM信息采集模块用于对各类Telemetry OAM信息进行选择性采集；Telemetry OAM信息存储模块用于存储采集上来的Telemetry OAM信息。其中，Telemetry OAM信息采集模块包括OAM信息类模块(图4所示的第1～n类OAM信息模块)和OAM类关联关系模块。每类OAM信息模块包含了相应类的OAM信息，预先配置了该类OAM信息对应的网络性能参数阈值；OAM类关联关系模块用于存储各类之间的OAM信息触发关系。
假设待采集OAM信息包括第1～n类，预先配置最先采集的初始类为第1类，且后一类为前一类的关联类(例如，第2类是第1类的关联类，第3类为第2类的关联类，以此类推)，则根据本公开实施例中提供的网络遥测方法，可通过如下流程来对OAM信息进行采集：
当用户数据报文到达网络遥测系统，由Telemetry OAM信息需求读取模块获取该数据报文所需要采集的OAM类信息。首先读取初始类的OAM信息(即第1类OAM信息)，判断采集第1类OAM信息的网络性能参数是否大于该类对应的网络性能参数阈值(即阈值1)；若采集第1类OAM信息的网络性能参数大于阈值1，则触发采集第2类OAM信息；若采集第1类OAM信息的网络性能参数小于阈值1，则将第1类OAM信息发送给telemetry OAM信息存储模块，停止采集第2～n类的OAM信息。
当采集第2类OAM信息时，判断采集第2类OAM信息的网络性能参数是否大于该类对应的网络性能参数阈值(即阈值2)；若采集第2类OAM信息的网络性能参数大于阈值2，则触发采集第3类OAM信息；若采集第2类OAM信息的网络性能参数小于阈值2，则将第2类OAM信息发送给telemetry OAM信息存储模块，停止采集第3～n类的OAM信息；
当采集前面n-1类OAM信息的网络性能参数都大于对应类的网络性能参数阈值(即阈值n-1)时，触发采集第n类OAM信息；由于第n类已经为待采集OAM信息的最后一类，则不管采集该类OAM信息的网络性能参数是否大于该类的网络性能参数阈值，将只将其OAM信息上传给Telemetry OAM信息存储模块。最后，Telemetry OAM信息存储模块将存储的OAM信息重新封装在用户数据报文中。
需要说明的是，对于每类OAM信息，当网络性能参数等于相应类的网络性能参 数阈值，可选择按照小于阈值的方式进行，不采集关联类的OAM信息。
对比图4和图5可以看出，相关技术中提供的网络遥测方案，在网络性能良好时，收集所有OAM信息，绝大部分OAM信息无信息量；在网络性能较差时，收集所有OAM信息，可提供较大信息量；本公开实施例中提供的OAM信息采集方案，在网络性能良好时，只收集第1类OAM信息，无无效信息；在网络性能较差时，可依据网络性能状态，动态收集多类OAM信息，无无效信息。可见，本公开实施例中提供的网络遥测方法，可根据网络状态，在设备本地动态调整OAM信息的收集范围，杜绝收集无效重复的OAM信息。
基于同一发明构思，本公开实施例中还提供了一种网络遥测系统，如下面的实施例所述。由于该系统实施例解决问题的原理与上述方法实施例相似，因此该系统实施例的实施可以参见上述方法实施例的实施，重复之处不再赘述。
图6示出本公开实施例中一种网络遥测系统示意图，如图6所示，该系统包括：源端设备61和被测设备62；
其中，源端设备61，用于将OAM分类信息添加到OAM需求信息中，并将OAM需求信息发送给被测设备62，其中，OAM分类信息至少包含：待采集OAM信息的分类、不同分类OAM信息之间的关联关系以及每类OAM信息对应的网络性能参数阈值；被测设备62，用于根据OAM需求信息对各类OAM信息进行选择性采集。
由上可知，本公开的实施例中提供的上述网络遥测系统，由源端设备61将OAM分类信息添加到OAM需求信息中，并将OAM需求信息发送给被测设备62，使得被测设备62根据实时网络性能参数动态调整网络遥测范围，当采集某类待采集OAM信息的网络性能参数大于该类OAM信息对应的网络性能参数阈值时，才会采集关联类的OAM信息；当采集某类待采集OAM信息的网络性能参数小于该类OAM信息对应的网络性能参数阈值时，不再触发采集关联类的OAM信息，仅采集该类的OAM信息。
通过本公开的实施例中提供的上述网络遥测装置，能够避免采集大量重复且不必要的OAM信息，极大节省链路资源，同时，也可以分流集中式控制器的工作量，极大节省集中控制器的计算资源。
基于同一发明构思，本公开实施例中还提供了一种网络遥测装置，如下面的实施例所述。由于该装置实施例解决问题的原理与上述方法实施例相似，因此该装置实施例的实施可以参见上述方法实施例的实施，重复之处不再赘述。
图7示出本公开实施例中一种网络遥测装置示意图，如图7所示，该装置包括：OAM分类信息配置模块71和OAM需求信息下发模块72。
其中，OAM分类信息配置模块71，用将OAM分类信息添加到OAM需求信息中，其中，OAM分类信息至少包含：待采集OAM信息的分类、不同分类OAM信息之间的关联关系以及每类OAM信息对应的网络性能参数阈值；OAM需求信息下发模块 72，用于将OAM需求信息发送给被测设备，其中，OAM需求信息用于被测设备对各类OAM信息进行选择性采集。
此处需要说明的是，上述OAM分类信息配置模块71和OAM需求信息下发模块72对应于方法实施例中的S102～S104，上述模块与对应的步骤所实现的示例和应用场景相同，但不限于上述方法实施例所公开的内容。需要说明的是，上述模块作为装置的一部分可以在诸如一组计算机可执行指令的计算机系统中执行。
由上可知，本公开的实施例中提供的上述网络遥测装置，通过OAM分类信息配置模块71对OAM信息进行分类，并配置每类OAM信息对应的网络性能阈值以及不同分类OAM信息之间的关联关系等OAM分类信息，并将这些OAM分类信息添加到OAM需求信息中，通过OAM需求信息下发模块72下发给被测设备，使得被测设备根据实时网络性能参数动态调整网络遥测范围，当采集某类待采集OAM信息的网络性能参数大于该类OAM信息对应的网络性能参数阈值时，才会采集关联类的OAM信息；当采集某类待采集OAM信息的网络性能参数小于该类OAM信息对应的网络性能参数阈值时，不再触发采集关联类的OAM信息，仅采集该类的OAM信息。
通过本公开的实施例中提供的上述网络遥测装置，能够避免采集大量重复且不必要的OAM信息，极大节省链路资源，同时，也可以分流集中式控制器的工作量，极大节省集中控制器的计算资源。
在一些实施例中，上述OAM需求信息下发模块72还用于：将OAM需求信息添加到数据报文中，将携带OAM需求信息的数据报文发送给被测设备。
在一些实施例中，上述OAM需求信息下发模块72还用于：将OAM需求信息添加到OAM编程指令中，将携带OAM需求信息的OAM编程指令发送给被测设备。
基于同一发明构思，本公开实施例中还提供了一种网络遥测装置，如下面的实施例所述。由于该装置实施例解决问题的原理与上述方法实施例相似，因此该装置实施例的实施可以参见上述方法实施例的实施，重复之处不再赘述。
图8示出本公开实施例中一种网络遥测装置示意图，如图8所示，该装置包括：OAM需求信息获取模块81和OAM信息采集模块82。
其中，OAM需求信息获取模块81，用于获取OAM需求信息，其中，OAM需求信息中至少包含：待采集OAM信息的分类、不同分类OAM信息之间的关联关系以及每类OAM信息对应的网络性能参数阈值；OAM信息采集模块82，用于根据OAM需求信息，对各类OAM信息进行选择性采集。
此处需要说明的是，上述OAM需求信息获取模块81和OAM信息采集模块82对应于方法实施例中的S302～S304，上述模块与对应的步骤所实现的示例和应用场景相同，但不限于上述方法实施例所公开的内容。需要说明的是，上述模块作为装置的一部分可以在诸如一组计算机可执行指令的计算机系统中执行。
由上可知，本公开实施例中提供的上述网络遥测装置，通过OAM需求信息获取 模块81获取到包含OAM分类、每类OAM信息对应的网络性能阈值以及不同分类OAM信息之间的关联关系等OAM分类信息的OAM需求信息后，根据实时网络状态状态对OAM需求信息中的各类OAM信息进行选择性采集，实现动态调整网络遥测范围，当采集某类OAM信息的网络性能参数大于该类OAM信息对应的网络性能参数阈值时，才会采集关联类的OAM信息；当采集某类OAM信息的网络性能参数小于该类OAM信息对应的网络性能参数阈值时，不再触发采集关联类的OAM信息，仅采集该类的OAM信息。
通过本公开实施例中提供的上述网络遥测装置，能够避免采集大量重复且不必要的OAM信息，极大节省链路资源，同时，也可以分流集中式控制器的工作量，极大节省集中控制器的计算资源。
在一些实施例中，OAM信息采集模块82还用于：根据OAM需求信息和采集各类OAM信息的网络性能参数，对各类OAM信息进行选择性采集。
在一些实施例中，OAM信息采集模块82还用于：根据OAM需求信息和采集各类OAM信息的网络性能参数，对各类OAM信息进行选择性采集包括：当采集第一OAM信息的网络性能参数小于或等于第一OAM信息对应的网络性能参数阈值，采集第一OAM信息；当采集第一OAM信息的网络性能参数大于第一OAM信息对应的网络性能参数阈值时，采集第一OAM信息和第二OAM信息，其中，第二OAM信息为OAM需求信中与第一OAM信息具有关联关系的OAM信息。
所属技术领域的技术人员能够理解，本公开的各个方面可以实现为系统、方法或程序产品。因此，本公开的各个方面可以具体实现为以下形式，即：完全的硬件实施方式、完全的软件实施方式(包括固件、微代码等)，或硬件和软件方面结合的实施方式，这里可以统称为“电路”、“模块”或“系统”。
下面参照图9来描述根据本公开的这种实施方式的电子设备900。图9显示的电子设备900仅仅是一个示例，不应对本公开实施例的功能和使用范围带来任何限制。
如图9所示，电子设备900以通用计算设备的形式表现。电子设备900的组件可以包括但不限于：上述至少一个处理单元910、上述至少一个存储单元920、连接不同系统组件(包括存储单元920和处理单元910)的总线930。
其中，所述存储单元存储有程序代码，所述程序代码可以被所述处理单元910执行，使得所述处理单元910执行本说明书上述“示例性方法”部分中描述的根据本公开各种示例性实施方式的步骤。
当电子设备900为网络遥测系统中的源端设备或集中控制器或分类器等设备时，处理单元910可以执行上述方法实施例的如下步骤：将OAM分类信息添加到OAM需求信息中，其中，OAM分类信息至少包含：待采集OAM信息的分类、不同分类OAM信息之间的关联关系以及每类OAM信息对应的网络性能参数阈值；将OAM需求信息发送给被测设备，其中，OAM需求信息用于被测设备对各类OAM信息进行选 择性采集。
在一些实施例中，处理单元910还可以执行上述方法实施例的如下步骤：将OAM需求信息添加到数据报文中，将携带OAM需求信息的数据报文发送给被测设备。
在一些实施例中，处理单元910还可以执行上述方法实施例的如下步骤：将OAM需求信息添加到OAM编程指令中，将携带OAM需求信息的OAM编程指令发送给被测设备。
当电子设备900为网络遥测系统中的被测设备时，处理单元910可以执行上述方法实施例的如下步骤：获取OAM需求信息，其中，OAM需求信息中至少包含：待采集OAM信息的分类、不同分类OAM信息之间的关联关系以及每类OAM信息对应的网络性能参数阈值；根据OAM需求信息，对各类OAM信息进行选择性采集。
在一些实施例中，处理单元910还可以执行上述方法实施例的如下步骤：根据OAM需求信息和采集各类OAM信息的网络性能参数，对各类OAM信息进行选择性采集。
在一些实施例中，处理单元910还可以执行上述方法实施例的如下步骤：当采集第一OAM信息的网络性能参数小于或等于第一OAM信息对应的网络性能参数阈值，采集第一OAM信息；当采集第一OAM信息的网络性能参数大于第一OAM信息对应的网络性能参数阈值时，采集第一OAM信息和第二OAM信息，其中，第二OAM信息为OAM需求信中与第一OAM信息具有关联关系的OAM信息。
存储单元920可以包括易失性存储单元形式的可读介质，例如随机存取存储单元(RAM)9201和/或高速缓存存储单元9202，还可以进一步包括只读存储单元(ROM)9203。
存储单元920还可以包括具有一组(至少一个)程序模块9205的程序/实用工具9204，这样的程序模块9205包括但不限于：操作系统、一个或者多个应用程序、其它程序模块以及程序数据，这些示例中的每一个或某种组合中可能包括网络环境的实现。
总线930可以为表示几类总线结构中的一种或多种，包括存储单元总线或者存储单元控制器、外围总线、图形加速端口、处理单元或者使用多种总线结构中的任意总线结构的局域总线。
电子设备900也可以与一个或多个外部设备940(例如键盘、指向设备、蓝牙设备等)通信，还可与一个或者多个使得用户能与该电子设备900交互的设备通信，和/或与使得该电子设备900能与一个或多个其它计算设备进行通信的任何设备(例如路由器、调制解调器等等)通信。这种通信可以通过输入/输出(I/O)接口950进行。并且，电子设备900还可以通过网络适配器960与一个或者多个网络(例如局域网(LAN)，广域网(WAN)和/或公共网络，例如因特网)通信。如图所示，网络适配器960通过总线930与电子设备900的其它模块通信。应当明白，尽管图中未示出， 可以结合电子设备900使用其它硬件和/或软件模块，包括但不限于：微代码、设备驱动器、冗余处理单元、外部磁盘驱动阵列、RAID系统、磁带驱动器以及数据备份存储系统等。
通过以上的实施方式的描述，本领域的技术人员易于理解，这里描述的示例实施方式可以通过软件实现，也可以通过软件结合必要的硬件的方式来实现。因此，根据本公开实施方式的技术方案可以以软件产品的形式体现出来，该软件产品可以存储在一个非易失性存储介质(可以是CD-ROM，U盘，移动硬盘等)中或网络上，包括若干指令以使得一台计算设备(可以是个人计算机、服务器、终端装置、或者网络设备等)执行根据本公开实施方式的方法。
特别地，根据本公开的实施例，上文参考流程图描述的过程可以被实现为计算机程序产品，该计算机程序产品包括：计算机程序，所述计算机程序被处理器执行时实现上述任一项的网络遥测方法。
在本公开的示例性实施例中，还提供了一种计算机可读存储介质，该计算机可读存储介质可以是可读信号介质或者可读存储介质。图10示出本公开实施例中一种计算机存储介质示意图，如图10所示，该计算机存储介质100上存储有能够实现本公开上述方法的程序产品。在一些可能的实施方式中，本公开的各个方面还可以实现为一种程序产品的形式，其包括程序代码，当所述程序产品在终端设备上运行时，所述程序代码用于使所述终端设备执行本说明书上述“示例性方法”部分中描述的根据本公开各种示例性实施方式的步骤。
本公开中的计算机可读存储介质的更具体的例子可以包括但不限于：具有一个或多个导线的电连接、便携式计算机磁盘、硬盘、随机访问存储器(RAM)、只读存储器(ROM)、可擦式可编程只读存储器(EPROM或闪存)、光纤、便携式紧凑磁盘只读存储器(CD-ROM)、光存储器件、磁存储器件、或者上述的任意合适的组合。
在本公开中，计算机可读存储介质可以包括在基带中或者作为载波一部分传播的数据信号，其中承载了可读程序代码。这种传播的数据信号可以采用多种形式，包括但不限于电磁信号、光信号或上述的任意合适的组合。可读信号介质还可以是可读存储介质以外的任何可读介质，该可读介质可以发送、传播或者传输用于由指令执行系统、装置或者器件使用或者与其结合使用的程序。
在本公开的一个实施例中，计算机可读存储介质上包含的程序代码可以用任何适当的介质传输，包括但不限于无线、有线、光缆、RF等等，或者上述的任意合适的组合。
在具体实施时，可以以一种或多种程序设计语言的任意组合来编写用于执行本公开操作的程序代码，所述程序设计语言包括面向对象的程序设计语言—诸如Java、C++等，还包括常规的过程式程序设计语言—诸如“C”语言或类似的程序设计语言。程序代码可以完全地在用户计算设备上执行、部分地在用户设备上执行、作为一个独立的 软件包执行、部分在用户计算设备上部分在远程计算设备上执行、或者完全在远程计算设备或服务器上执行。在涉及远程计算设备的情形中，远程计算设备可以通过任意种类的网络，包括局域网(LAN)或广域网(WAN)，连接到用户计算设备，或者，可以连接到外部计算设备(例如利用因特网服务提供商来通过因特网连接)。
应当注意，尽管在上文详细描述中提及了用于动作执行的设备的若干模块或者单元，但是这种划分并非强制性的。实际上，根据本公开的实施方式，上文描述的两个或更多模块或者单元的特征和功能可以在一个模块或者单元中具体化。反之，上文描述的一个模块或者单元的特征和功能可以进一步划分为由多个模块或者单元来具体化。
此外，尽管在附图中以特定顺序描述了本公开中方法的各个步骤，但是，这并非要求或者暗示必须按照该特定顺序来执行这些步骤，或是必须执行全部所示的步骤才能实现期望的结果。附加的或备选的，可以省略某些步骤，将多个步骤合并为一个步骤执行，以及/或者将一个步骤分解为多个步骤执行等。
通过以上实施方式的描述，本领域的技术人员易于理解，这里描述的示例实施方式可以通过软件实现，也可以通过软件结合必要的硬件的方式来实现。因此，根据本公开实施方式的技术方案可以以软件产品的形式体现出来，该软件产品可以存储在一个非易失性存储介质(可以是CD-ROM，U盘，移动硬盘等)中或网络上，包括若干指令以使得一台计算设备(可以是个人计算机、服务器、移动终端、或者网络设备等)执行根据本公开实施方式的方法。
本领域技术人员在考虑说明书及实践这里公开的发明后，将容易想到本公开的其它实施方案。本公开旨在涵盖本公开的任何变型、用途或者适应性变化，这些变型、用途或者适应性变化遵循本公开的一般性原理并包括本公开未公开的本技术领域中的公知常识或惯用技术手段。说明书和实施例仅被视为示例性的，本公开的真正范围和精神由所附的权利要求指出。

Claims (14)

  1. 一种网络遥测方法，包括：
    将OAM分类信息添加到OAM需求信息中，其中，所述OAM分类信息至少包含：待采集OAM信息的分类、不同分类OAM信息之间的关联关系以及每类OAM信息对应的网络性能参数阈值；
    将OAM需求信息发送给被测设备，其中，所述OAM需求信息用于所述被测设备对各类OAM信息进行选择性采集。
  2. 根据权利要求1所述的网络遥测方法，其中，所述将OAM需求信息发送给被测设备包括：
    将所述OAM需求信息添加到数据报文中，将携带所述OAM需求信息的数据报文发送给被测设备。
  3. 根据权利要求1所述的网络遥测方法，其中，所述将OAM需求信息发送给被测设备包括：
    将所述OAM需求信息添加到OAM编程指令中，将携带所述OAM需求信息的OAM编程指令发送给被测设备。
  4. 一种网络遥测方法，包括：
    获取OAM需求信息，其中，所述OAM需求信息中至少包含：待采集OAM信息的分类、不同分类OAM信息之间的关联关系以及每类OAM信息对应的网络性能参数阈值；
    根据所述OAM需求信息，对各类OAM信息进行选择性采集。
  5. 根据权利要求4所述的网络遥测方法，其中，所述根据所述OAM需求信息，对各类OAM信息进行选择性采集包括：
    根据所述OAM需求信息和采集各类OAM信息的网络性能参数，对各类OAM信息进行选择性采集。
  6. 根据权利要求5所述的网络遥测方法，其中，所述根据所述OAM需求信息和采集各类OAM信息的网络性能参数，对各类OAM信息进行选择性采集包括：
    当采集第一OAM信息的网络性能参数小于或等于第一OAM信息对应的网络性能参数阈值，采集第一OAM信息；
    当采集第一OAM信息的网络性能参数大于第一OAM信息对应的网络性能参数阈值时，采集第一OAM信息和第二OAM信息，其中，所述第二OAM信息为所述OAM需求信中与第一OAM信息具有关联关系的OAM信息。
  7. 根据权利要求6所述的网络遥测方法，其中，所述第一OAM信息包括：一类或多类OAM信息；所述第二OAM信息包括：与第一OAM信息具有关联关系的一类或多类OAM信息。
  8. 根据权利要求6所述的网络遥测方法，其中，所述第一OAM信息从OAM需求信息中获取，或从上一次采集的第二OAM信息中获取。
  9. 一种网络遥测系统，包括：源端设备和被测设备；
    其中，所述源端设备，用于将OAM分类信息添加到OAM需求信息中，并将OAM需求信息发送给被测设备，其中，所述OAM分类信息至少包含：待采集OAM信息的分类、不同分类OAM信息之间的关联关系以及每类OAM信息对应的网络性能参数阈值；
    所述被测设备，用于根据所述OAM需求信息对各类OAM信息进行选择性采集。
  10. 一种网络遥测装置，包括：
    OAM分类信息配置模块，设置为将OAM分类信息添加到OAM需求信息中，其中，所述OAM分类信息至少包含：待采集OAM信息的分类、不同分类OAM信息之间的关联关系以及每类OAM信息对应的网络性能参数阈值；
    OAM需求信息下发模块，设置为将OAM需求信息发送给被测设备，其中，所述OAM需求信息用于所述被测设备对各类OAM信息进行选择性采集。
  11. 一种网络遥测装置，包括：
    OAM需求信息获取模块，设置为获取OAM需求信息，其中，所述OAM需求信息中至少包含：待采集OAM信息的分类、不同分类OAM信息之间的关联关系以及每类OAM信息对应的网络性能参数阈值；
    OAM信息采集模块，设置为根据所述OAM需求信息，对各类OAM信息进行选择性采集。
  12. 一种电子设备，包括：
    处理器；以及
    存储器，用于存储所述处理器的可执行指令；
    其中，所述处理器配置为经由执行所述可执行指令来执行权利要求1～8中任意一项所述网络遥测方法。
  13. 一种计算机可读存储介质，其上存储有计算机程序，所述计算机程序被处理器执行时实现权利要求1～8中任意一项所述的网络遥测方法。
  14. 一种计算机程序产品，包括计算机程序，所述计算机程序被处理器执行时实现权利要求1～8中任意一项所述的网络遥测方法。
PCT/CN2022/131783 2021-12-24 2022-11-14 网络遥测方法、装置、系统、设备、存储介质及程序产品 WO2023116258A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202111601524.2 2021-12-24
CN202111601524.2A CN116346654A (zh) 2021-12-24 2021-12-24 网络遥测方法、装置、系统、电子设备及存储介质

Publications (1)

Publication Number Publication Date
WO2023116258A1 true WO2023116258A1 (zh) 2023-06-29

Family

ID=86879430

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2022/131783 WO2023116258A1 (zh) 2021-12-24 2022-11-14 网络遥测方法、装置、系统、设备、存储介质及程序产品

Country Status (2)

Country Link
CN (1) CN116346654A (zh)
WO (1) WO2023116258A1 (zh)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102075351A (zh) * 2010-12-22 2011-05-25 瑞斯康达科技发展股份有限公司 一种网管远程控制方法及系统
CN105530115A (zh) * 2014-10-23 2016-04-27 华为技术有限公司 一种实现操作管理维护功能的方法及装置
CN108124273A (zh) * 2017-11-17 2018-06-05 上海连尚网络科技有限公司 一种信息获取的方法、设备及介质
JP2019103117A (ja) * 2017-11-30 2019-06-24 日本電気株式会社 ネットワーク管理装置、方法、及びプログラム
CN112511328A (zh) * 2020-04-04 2021-03-16 中兴通讯股份有限公司 发送和处理信息的方法、以太网设备、计算机可读介质
CN112887353A (zh) * 2019-11-29 2021-06-01 中国移动通信有限公司研究院 一种信息处理方法、装置、终端及存储介质

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102075351A (zh) * 2010-12-22 2011-05-25 瑞斯康达科技发展股份有限公司 一种网管远程控制方法及系统
CN105530115A (zh) * 2014-10-23 2016-04-27 华为技术有限公司 一种实现操作管理维护功能的方法及装置
CN108124273A (zh) * 2017-11-17 2018-06-05 上海连尚网络科技有限公司 一种信息获取的方法、设备及介质
JP2019103117A (ja) * 2017-11-30 2019-06-24 日本電気株式会社 ネットワーク管理装置、方法、及びプログラム
CN112887353A (zh) * 2019-11-29 2021-06-01 中国移动通信有限公司研究院 一种信息处理方法、装置、终端及存储介质
CN112511328A (zh) * 2020-04-04 2021-03-16 中兴通讯股份有限公司 发送和处理信息的方法、以太网设备、计算机可读介质

Also Published As

Publication number Publication date
CN116346654A (zh) 2023-06-27

Similar Documents

Publication Publication Date Title
US8233399B2 (en) Generic packet generator and method
US10965546B2 (en) Control of network nodes in computer network systems
US8121148B2 (en) Protocol stack using shared memory
WO2021259013A1 (zh) 数据处理方法、装置、电子设备及计算机可读介质
US20240061663A1 (en) Compiling system and compiling method for programmable network element
US11671368B2 (en) Congestion control method, apparatus, and system, and computer storage medium
WO2022032984A1 (zh) 一种mqtt协议仿真方法及仿真设备
CN109408424B (zh) 一种基于PCIe接口的SpaceFibre总线数据采集方法
CN111726414A (zh) 一种车辆上报数据的处理方法和车辆数据上报系统
CN114371912A (zh) 数据中心的虚拟网络管理方法及数据中心系统
Nishiguchi et al. IoT fault management platform with device virtualization
WO2023116258A1 (zh) 网络遥测方法、装置、系统、设备、存储介质及程序产品
CN113542148A (zh) 一种报文聚合方法、装置、网络网卡及可读存储介质
CN112615789A (zh) 带外流量控制方法及设备
CN111314495A (zh) 基于物联网LoRaWAN的通信方法、装置、设备、存储介质和系统
CN115277450A (zh) 基于opnet的虚实结合异构通信网络融合系统及应用
US6496863B1 (en) Method and system for communication in a heterogeneous network
WO2021109851A1 (zh) 一种网络通信方法、装置、设备和存储介质
CN112019491B (zh) 一种报文处理方法及系统
Luangsomboon et al. On the Burstiness of Distributed Machine Learning Traffic
CN115348070B (zh) 数据包处理方法、装置、电子设备及存储介质
CN110912919B (zh) 用于网络健康状况建模分析的网络数据采集方法
WO2024040884A1 (zh) 业务处理方法、装置及系统
WO2023213086A1 (zh) 数据处理方法、装置、计算机可读介质及电子设备
Lecuivre et al. A framework for validating distributed real time applications by performance evaluation of communication profiles

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: 22909575

Country of ref document: EP

Kind code of ref document: A1