CN117835297A - Slice service quality detection method and device, router and storage medium - Google Patents

Slice service quality detection method and device, router and storage medium Download PDF

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Publication number
CN117835297A
CN117835297A CN202211191838.4A CN202211191838A CN117835297A CN 117835297 A CN117835297 A CN 117835297A CN 202211191838 A CN202211191838 A CN 202211191838A CN 117835297 A CN117835297 A CN 117835297A
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China
Prior art keywords
slice
service
detection
message
quality
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CN202211191838.4A
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Inventor
蓝双凤
谭振林
黄卓君
马培勇
卢泉
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China Telecom Corp Ltd
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China Telecom Corp Ltd
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Priority to CN202211191838.4A priority Critical patent/CN117835297A/en
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Abstract

The present disclosure relates to a slice quality of service detection method and apparatus, a router, and a storage medium. The slice service quality detection method comprises the following steps: generating a slice segment mapping table according to the slice identification and the slice segment implementation mode; detecting a real slicing service message, generating a stream-following detection slicing service detection message, and forwarding the slicing service detection message; summarizing all slice quality data of the end-to-end slices and the slices; and reporting the slice quality data. The present disclosure may support direct measurement of quality data collection reporting of cut and full segments.

Description

Slice service quality detection method and device, router and storage medium
Technical Field
The present disclosure relates to the field of IP networks and data communications, and in particular, to a slice quality of service detection method and apparatus, a router, and a storage medium.
Background
With the increasing requirement of users on service indexes, the slicing service can well meet the requirement of users on high-quality SLA (Service Level Agreement ) of the service, and the IFIT (In-situ Flow Information Telemetry, flow-following detection) technology is to carry out service quality detection on real service flow encapsulation detection message headers, so that the network service performance indexes can be truly reflected, and therefore, compared with other performance detection tools, the accuracy has great advantages, but the current IFIT flow-following detection technology of the related technology can not well directly carry out quality detection on full-section slicing service, and the related technology only supports quality detection of two major classes of application level and tunnel level.
Disclosure of Invention
In view of at least one of the above technical problems, the present disclosure provides a slice quality of service detection method and apparatus, a router, and a storage medium, which can support direct measurement of quality data aggregate reporting of slices and full-segment slices.
According to one aspect of the present disclosure, there is provided a slice quality of service detection method, including:
generating a slice segment mapping table according to the slice identification and the slice segment implementation mode;
detecting a real slicing service message, generating a stream-following detection slicing service detection message, and forwarding the slicing service detection message;
summarizing all slice quality data of the end-to-end slices and the slices;
and reporting the slice quality data.
In some embodiments of the present disclosure, the slice quality of service detection method further includes:
starting a stream following detection function;
receiving an incoming slice identification value;
and starting slice service quality detection based on the stream following detection.
In some embodiments of the disclosure, the receiving the incoming slice identifier of the slice quality of service detection method includes:
a slice identifier is received that is incoming through a wireless network or a core network.
In some embodiments of the disclosure, the receiving the incoming slice identifier of the slice quality of service detection method includes:
The slice identifier is received at the router and is transmitted in a configuration command line manner.
In some embodiments of the disclosure, the receiving the incoming slice identifier of the slice quality of service detection method includes:
and receiving the slice identification transmitted by the controller or the operation management system.
In some embodiments of the present disclosure, the slice quality of service detection method further includes:
and expanding a first field and a second field by a stream instruction head part of the stream detection message head, wherein the first field is used for representing the mode of the incoming slice identifier, and the second field is used for representing the slice identifier.
In some embodiments of the present disclosure, the slice segment map is a global map of slice segments, end-to-end slice identifications, and all implementations.
In some embodiments of the present disclosure, the slice segment map includes slice identifications, slice segment or full segment implementation techniques, slice segment or full segment head-to-tail nodes, slice segment or full segment head-to-tail node ports.
In some embodiments of the present disclosure, detecting the real slice service message, generating the slice-along-flow detection service detection message, and forwarding the slice service detection message includes:
Identifying the slice service message through the global mapping table, selectively encapsulating the flow-following detection message header, and generating the flow-following detection slice service detection message;
and after receiving the slice stream detection message, the intermediate node forwards the message through the global mapping table obtained by notification.
In some embodiments of the present disclosure, after detecting the real slice service message and generating the slice-along-flow detection service detection message and forwarding the slice service detection message, the slice service quality detection method further includes:
judging whether the node receiving the slice detection message is a slice segment starting node or not;
under the condition that the node receiving the slice detection message is a slice segment starting node, splicing a slice mapping table of the slice segment on the basis of the previous slice segment mapping table, then detecting the real slice service message again, generating a stream-following detection slice service detection message, and forwarding the slice service detection message;
and forwarding the slice service detection message according to the slice mapping table under the condition that the node receiving the slice detection message is not the slice section starting node.
In some embodiments of the present disclosure, after detecting the real slice service message and generating the slice-along-flow detection service detection message and forwarding the slice service detection message, the slice service quality detection method further includes:
Judging whether the node receiving the slice detection message is a tail node of the whole slice or not;
forwarding the slice service detection message according to the slice mapping table under the condition that the node receiving the slice detection message is not the tail node of the whole slice;
and generating an end-to-end global slice mapping table under the condition that the node receiving the slice detection message is the tail node of the whole slice.
In some embodiments of the present disclosure, the reporting the slice quality data includes:
and reporting the slice quality data according to a file format of uploading the predetermined slice service quality data.
In some embodiments of the present disclosure, the slice quality data of the predetermined slice service quality data upload file format includes at least one of a time of acquisition, a slice identifier, a start node identifier of an end-to-end slice, an end node identifier of an end-to-end slice, quality data of an end-to-end slice, a number of each slice, a start node identifier of each slice, an end node identifier of each slice, a technology employed to implement each slice, a technology instance name to implement each slice, and quality data of each slice, where the quality data includes at least one of a delay, a jitter, and a packet loss rate.
According to another aspect of the present disclosure, there is provided a slice quality of service detection apparatus, including:
the mapping table generation module is configured to generate a slice segment mapping table according to the slice identification and the slice segment implementation mode;
the message generation module is configured to detect the real slicing service message, generate a stream-following detection slicing service detection message and forward the slicing service detection message;
the quality data summarizing module is configured to summarize end-to-end slices and all slice quality data of the slices;
and the quality data reporting module is configured to report the slice quality data.
In some embodiments of the present disclosure, the slice quality of service detection apparatus further comprises:
an enabling module configured to turn on a stream-following detection function;
a slice identifier receiving module configured to receive an incoming slice identifier;
and the detection starting module is configured to start slice service quality detection based on the follow-up detection.
In some embodiments of the present disclosure, a slice identifier receiving module configured to receive a slice identifier incoming through a wireless network or a core network; or receiving a slice identifier transmitted in a router in a configuration command line mode; or, receiving a slice identifier transmitted through the controller or the operation management system.
In some embodiments of the present disclosure, the slice quality of service detection apparatus further comprises:
and the field expansion module is configured to expand a first field and a second field through a flow instruction head part of the flow detection message head, wherein the first field is used for representing the mode of the incoming slice identifier, and the second field is used for representing the slice identifier.
In some embodiments of the present disclosure, the slice segment map is a global map of slice segments, end-to-end slice identifications, and all implementations.
In some embodiments of the present disclosure, the slice segment map includes slice identifications, slice segment or full segment implementation techniques, slice segment or full segment head-to-tail nodes, slice segment or full segment head-to-tail node ports.
In some embodiments of the present disclosure, a message generating module is configured to identify a slice service message through a global mapping table, selectively encapsulate a flow-following detection message header, and generate a flow-following detection slice service detection message; and after receiving the slice flow-following detection message, the intermediate node forwards the message through the global mapping table obtained by notification.
In some embodiments of the present disclosure, a message generating module is configured to, after detecting a real slice service message, generate a stream-following detection slice service detection message, and forward the slice service detection message, determine whether a node that receives the slice detection message is a slice segment start node; under the condition that the node receiving the slice detection message is a slice segment starting node, splicing a slice mapping table of the slice segment on the basis of the previous slice segment mapping table, then detecting the real slice service message again, generating a stream-following detection slice service detection message, and forwarding the operation of the slice service detection message; and forwarding the slice service detection message according to the slice mapping table under the condition that the node receiving the slice detection message is not the slice section starting node.
In some embodiments of the present disclosure, a message generating module is configured to, after detecting a real slice service message, generate a stream-following detection slice service detection message, and forward the slice service detection message, determine whether a node that receives the slice detection message is a tail node of an entire slice; forwarding the slice service detection message according to the slice mapping table under the condition that the node receiving the slice detection message is not the tail node of the whole slice; and generating an end-to-end global slice mapping table under the condition that the node receiving the slice detection message is the tail node of the whole slice.
In some embodiments of the present disclosure, the quality data reporting module is configured to report the slice quality data according to a predetermined slice quality of service data reporting file format.
In some embodiments of the present disclosure, the slice quality data of the predetermined slice service quality data upload file format includes at least one of a time of acquisition, a slice identifier, a start node identifier of an end-to-end slice, an end node identifier of an end-to-end slice, quality data of an end-to-end slice, a number of each slice, a start node identifier of each slice, an end node identifier of each slice, a technology employed to implement each slice, a technology instance name to implement each slice, and quality data of each slice, where the quality data includes at least one of a delay, a jitter, and a packet loss rate.
According to another aspect of the present disclosure, there is provided a slice quality of service detection apparatus, including:
a memory configured to store instructions;
a processor configured to execute the instructions to cause the sliced quality of service detection device to perform operations implementing the sliced quality of service detection method as described in any of the embodiments above.
According to another aspect of the present disclosure, there is provided a router including a slice quality of service detection apparatus as described in any one of the above embodiments.
According to another aspect of the present disclosure, there is provided a computer readable storage medium storing computer instructions which, when executed by a processor, implement a slice quality of service detection method as described in any of the above embodiments.
The present disclosure may support direct measurement of quality data collection reporting of cut and full segments.
Drawings
In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings may be obtained according to these drawings without inventive effort to a person of ordinary skill in the art.
Fig. 1 is a schematic diagram of some embodiments of a slice quality of service detection method of the present disclosure.
Fig. 2 is a schematic diagram of other embodiments of a slice quality of service detection method of the present disclosure.
Fig. 3 is a schematic diagram of an IFIT header extension in some embodiments of the present disclosure.
Fig. 4 is a schematic diagram of a slice service implementation in some embodiments of the present disclosure.
Fig. 5 is a schematic diagram of a slice quality of service upload file format in some embodiments of the present disclosure.
Fig. 6 is a schematic diagram of some embodiments of a slice quality of service detection apparatus of the present disclosure.
Fig. 7 is a schematic structural diagram of other embodiments of a slice service quality detection apparatus according to the present disclosure.
Detailed Description
The following description of the technical solutions in the embodiments of the present disclosure will be made clearly and completely with reference to the accompanying drawings in the embodiments of the present disclosure, and it is apparent that the described embodiments are only some embodiments of the present disclosure, not all embodiments. The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the disclosure, its application, or uses. Based on the embodiments in this disclosure, all other embodiments that a person of ordinary skill in the art would obtain without making any inventive effort are within the scope of protection of this disclosure.
The relative arrangement of the components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless it is specifically stated otherwise.
Meanwhile, it should be understood that the sizes of the respective parts shown in the drawings are not drawn in actual scale for convenience of description.
Techniques, methods, and apparatus known to one of ordinary skill in the relevant art may not be discussed in detail, but should be considered part of the specification where appropriate.
In all examples shown and discussed herein, any specific values should be construed as merely illustrative, and not a limitation. Thus, other examples of the exemplary embodiments may have different values.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further discussion thereof is necessary in subsequent figures.
The inventors found through research that: the related art IFIT with-flow detection technology cannot directly detect the quality of the full-segment slice service well, the related art only supports the quality detection of two major classes of application level and tunnel level at present, namely, indirection supports the quality detection of a single slice implementation technology or a single-segment slice, but in fact, the implementation mode of the slice service (VPN (Virtual Private Network virtual private network) +qos (Quality of Service ), flexE (Flexible Ethernet, flexible ethernet) and SRv (Segment Routing IPv6, segment routing based on an IPv6 forwarding plane) Policy and other technologies) has various forms, and the condition that the end-to-end full-segment slice is formed by splicing and combining a plurality of segments is also many, so that the related art IFIT with-flow detection technology can only indirectly complete the quality detection of the end-to-end slice service through multiple deployment detection tasks after multiple measurement, the mode is complex and complicated in operation, and meanwhile, the non-continuity measurement can cause low accuracy of a detection result (especially a delay index).
In view of at least one of the above technical problems, the present disclosure provides a slice service quality detection method and apparatus, a router, and a storage medium, and the present disclosure is described below by way of specific embodiments.
Fig. 1 is a schematic diagram of some embodiments of a slice quality of service detection method of the present disclosure. Preferably, the present embodiment may be executed by the slice service quality detection method apparatus of the present disclosure or the router of the present disclosure. The method comprises at least one step which may be from step 11 to step 14, wherein:
and step 11, generating a slice segment mapping table according to the slice identification and the slice segment implementation mode.
In some embodiments of the present disclosure, the slice segment map is a global map of slice segments, end-to-end slice identifications, and all implementations.
In some embodiments of the present disclosure, the slice segment map includes slice identifications, slice segment or full segment implementation techniques, slice segment or full segment head-to-tail nodes, slice segment or full segment head-to-tail node ports.
And step 12, detecting the real slicing service message, generating a stream-following detection slicing service detection message, and forwarding the slicing service detection message.
In some embodiments of the present disclosure, step 12 may include: identifying the slice service message through the global mapping table, selectively encapsulating the flow-following detection message header, and generating the flow-following detection slice service detection message; and after receiving the slice stream detection message, the intermediate node forwards the message through the global mapping table obtained by notification.
And step 13, summarizing end-to-end slices and all slice quality data of the slices so as to realize performance detection of the full-segment real slice service directly.
And step 14, reporting the slice quality data.
In some embodiments of the present disclosure, step 14 may include: and reporting the slice quality data according to a file format of uploading the predetermined slice service quality data.
In some embodiments of the present disclosure, the slice quality data of the predetermined slice service quality data upload file format includes at least one of a time of acquisition, a slice identifier, a start node identifier of an end-to-end slice, an end node identifier of an end-to-end slice, quality data of an end-to-end slice, a number of each slice, a start node identifier of each slice, an end node identifier of each slice, a technology employed to implement each slice, a technology instance name to implement each slice, and quality data of each slice, where the quality data includes at least one of a delay, a jitter, and a packet loss rate.
The related art only indirectly collects and reports the quality data of the cut segments laterally, and the above-described embodiments of the present disclosure support direct measurement and total-segment-slice quality data collection and reporting.
The embodiment of the disclosure can directly perform performance detection on the full-segment real slice service by one-key.
Fig. 2 is a schematic diagram of other embodiments of a slice quality of service detection method of the present disclosure. Preferably, the present embodiment may be executed by the slice service quality detection method apparatus of the present disclosure or the router of the present disclosure. The method comprises at least one step which may be step 21-step 32, wherein:
step 21, turning on the stream following detection function.
In some embodiments of the present disclosure, step 21 may include: the IFIT function is enabled on the router.
In some embodiments of the present disclosure, step 21 may include: the IFIT function is enabled at the head node.
Fig. 3 is a schematic diagram of an IFIT header extension in some embodiments of the present disclosure. As shown in fig. 3, taking the IFIT over SRv6 scenario as an example, the IFIT message header is encapsulated behind the IPv6 header, belongs to an Optional TLV (Type-Length-Value) field in the SRH (Segment Routing Header ) header, and mainly includes FII, FIH, FIEH three parts, where FII is (Flow Instruction Indicator) a flow instruction identifier, FIH is (Flow Instruction Header ), and FIEH is (Flow Instruction Extension Header, flow instruction extension header).
In some embodiments of the present disclosure, as shown in fig. 3, the slice service quality detection method may further include: expanding a first field M and a second field N by expanding a reserved field NextHeader (next header) of a stream instruction header (FIH) part of an associated stream detection (IFIT) message header, wherein the first field M is used for representing an incoming slice identifier, occupies 2bit, and 00 is represented as device incoming; 01 represents controller incoming; and 10 denotes other network ingress. The second field N is used to represent a Slice ID (Slice identification) value, occupying 5 bits.
Step 22, an incoming slice identification value is received.
In some embodiments of the present disclosure, as shown in fig. 2, step 22 may include at least one of steps 221-223, wherein:
step 221, receiving a slice identifier incoming through the wireless network or the core network.
In some embodiments of the present disclosure, step 221 may include: through other networks (e.g., 5G slice traffic, access points are accessed through base stations, and slice IDs may be entered through the wireless network or the core network).
Step 222, receiving a slice identifier transmitted by a configuration command line mode at the router.
Step 223, receiving the slice identifier transmitted by the controller or the operation management system, which is more efficient.
Step 23, the slice service quality detection based on the stream following detection is started.
In some embodiments of the present disclosure, step 3 may include: the router turns on the IFIT-based slice quality of service detection.
And step 24, generating a slice segment mapping table according to the slice identification and the slice segment implementation mode.
In some embodiments of the present disclosure, step 24 may include: the router generates a slice mapping table according to the slice ID and the slice implementation, for quickly identifying which one or more technology implementations the slice is implemented in.
In some embodiments of the present disclosure, the slice mapping table: the global mapping table for generating Slice/end-to-end Slice IDs and all implementations (content includes but is not limited to Slice IDs, slice/full-segment implementation techniques, slice/full-segment head-to-tail nodes, slice/full-segment head-to-tail node ports, etc.).
Fig. 4 is a schematic diagram of a slice service implementation in some embodiments of the present disclosure. There are various ways to implement slice services, as shown in fig. 4, they can be broadly classified into soft slices, hard slices, and soft+hard slices. In the embodiment shown in fig. 4, three slices are included, namely slice 1, slice 2 and slice 3, wherein slice 1 comprises 5 slices (from left to right, slices 1-1, 1-2, 1-3, 1-4 and 1-5 respectively), and as shown in fig. 4, the implementation of slices 1-1 and 1-5 in slice 1 is PW (Pseudo Wire) +mpls (Multi-Protocol Label Switching, multiprotocol label switching); the implementation mode of the cut segments 1-2 and the cut segments 1-4 in the slice 1 is FlexE+PW; the implementation of the segments 1-3 in the slice 1 is L3VPN (Layer 3Virtual Private Network, three-Layer virtual private network) +mpls. Slice 2 includes 3 slices (slices 2-1, 2-2, 2-3 from left to right, respectively), as shown in FIG. 4, the implementation of slices 2-1 and 2-3 in slice 2 is VPWS (Virtual Private Wire Service, virtual private line service) + SRv6; the implementation of slice segment 2-2 in slice 2 is L3EVPN (Layer 3Ethernet Virtual Private Network, three-Layer ethernet virtual private network) + SRv6 Policy. Slice 3 includes 1 slice segment implemented as L3evpn+ SRv6 policy+flexe.
And step 25, detecting the real slicing service message, generating a stream-following detection slicing service detection message, and forwarding the slicing service detection message.
Step 26, it is determined whether the node receiving the slice detection message is the slice start node (the last slice end node). Executing step 27 when the node receiving the slice detection message is the slice segment start node; otherwise, in the case that the node that receives the slice detection message is not the slice start node, step 28 is performed.
Step 27, splicing the slice mapping table of the slice segment on the basis of the previous slice segment mapping table, and then executing step 25 again, namely, detecting the real slice service message, generating a stream-following detection slice service detection message, and forwarding the slice service detection message;
and step 28, forwarding the slice service detection message according to the slice mapping table.
Step 29, judging whether the node receiving the slice detection message is the tail node of the whole slice; step 28 is performed if the node receiving the slice detection message is not the end node of the whole slice, otherwise step 30 is performed if the node receiving the slice detection message is the end node of the whole slice.
And 30, generating an end-to-end global slice mapping table.
And step 31, summarizing the quality data of the end-to-end slices and the slice segments.
In some embodiments of the present disclosure, step 31 may include: all slice quality data of the end-to-end and spliced segments are summarized, including quality data of all slice implementations involved.
And step 32, reporting the slice quality data according to a predetermined slice service quality data uploading file format.
In some embodiments of the present disclosure, step 32 may include: and reporting the slice service quality data to a controller or an operation management system through a newly defined reporting format of the telemet slice service file. Telemetry is a new generation of network monitoring technology for remotely and rapidly acquiring data from equipment, and the equipment periodically and actively transmits equipment information to an acquisition device through a Push Mode, so that a more real-time, higher-speed and more accurate network monitoring function is provided.
Fig. 5 is a schematic diagram of a slice quality of service upload file format in some embodiments of the present disclosure. As shown in fig. 5, the slice quality of service upload file format of the present disclosure may include:
time: the time of acquisition is represented, precisely to the order of seconds.
slice id: ID number of slice.
node_id_s: the ID of the starting node of the end-to-end slice.
node_id_d: the ID of the terminating node of the end-to-end slice.
content: the quality data of the end-to-end slice includes slice quality data not limited to time delay, jitter, packet loss rate and the like.
slice part [ n ] _num: number of cut segment n.
node_part [ n ] _id_s: the start node ID of the nth segment.
node_part [ n ] _id_d: the terminating node ID of the nth segment.
way [ n ]: techniques employed to implement the nth slice segment, such as PW, VPN, SRv Policy, etc.
name [ n ]: technology instance name for implementing the nth fragment.
content_p [ n ]: quality data for the nth fragment.
.. A file format that is represented as smooth compatible with existing file formats, can preserve existing public data capabilities as needed; another type of representation quality data has the ability to add up-feed index items on demand.
Aiming at the technical problem that the related technology IFIT with-flow detection technology can not directly detect the quality of the full-section slice service, the present disclosure provides a method for detecting the quality of the service based on the IFIT slice, and three modes are supported to be transmitted into the slice ID by adding a field to the FIH in the IFIT protocol, so that the IFIT message header carries the slice ID value; meanwhile, a calculation module (namely the slicing service quality detection device) is additionally arranged on the router, so that the router is provided with the functions of generating a slicing mapping table, rapidly identifying slicing service, forwarding slicing service detection messages and collecting slicing service quality data, and the direct measurement of full-section slicing service quality data is realized; finally, the present disclosure realizes that the slice service quality data is uploaded to the controller by adding the slice service quality data reporting file format of the Telemetry protocol.
Fig. 6 is a schematic diagram of some embodiments of a slice quality of service detection apparatus of the present disclosure. The slice service quality detection apparatus of the present disclosure may include a mapping table generating module 61, a message generating module 62, a quality data summarizing module 63, and a quality data reporting module 64, where:
the mapping table generating module 61 is configured to generate a slice segment mapping table according to the slice identity and the slice segment implementation.
In some embodiments of the present disclosure, the slice segment map may be a global map of slice segment, end-to-end slice identity, and all implementations.
In some embodiments of the present disclosure, the slice segment map may include slice identification, slice segment or full segment implementation techniques, slice segment or full segment head-to-tail nodes, slice segment or full segment head-to-tail node ports, and the like.
The message generating module 62 is configured to detect the real slice service message, generate a stream-following detection slice service detection message, and forward the slice service detection message.
In some embodiments of the present disclosure, the packet generation module 62 may be configured to identify slice service packets through the global mapping table, selectively encapsulate the flow-following detection packet header, and generate the flow-following detection slice service detection packet; and after receiving the slice flow-following detection message, the intermediate node forwards the message through the global mapping table obtained by notification.
In some embodiments of the present disclosure, the packet generation module 62 may be configured to determine, after detecting the real slice service packet, to generate a slice-along-flow detection slice service detection packet and forwarding the slice service detection packet, whether a node that receives the slice detection packet is a slice segment start node; under the condition that the node receiving the slice detection message is a slice segment starting node, splicing a slice mapping table of the slice segment on the basis of the previous slice segment mapping table, then detecting the real slice service message again, generating a stream-following detection slice service detection message, and forwarding the operation of the slice service detection message; and forwarding the slice service detection message according to the slice mapping table under the condition that the node receiving the slice detection message is not the slice section starting node.
In some embodiments of the present disclosure, the packet generation module 62 may be configured to determine, after detecting the real slice service packet, to generate a slice-along-flow detection slice service detection packet and forwarding the slice service detection packet, whether a node that receives the slice detection packet is a tail node of the entire slice; forwarding the slice service detection message according to the slice mapping table under the condition that the node receiving the slice detection message is not the tail node of the whole slice; and generating an end-to-end global slice mapping table under the condition that the node receiving the slice detection message is the tail node of the whole slice.
The quality data summarizing module 63 is configured to summarize all slice quality data of the end-to-end slices and the slices, so as to realize performance detection on the full-segment real slice service directly.
A quality data reporting module 64 configured to report the slice quality data.
In some embodiments of the present disclosure, the quality data reporting module 64 may be configured to report the slice quality data in a predetermined slice quality of service data upload file format.
In some embodiments of the present disclosure, the slice quality data of the predetermined slice service quality data upload file format may include at least one of a time of acquisition, a slice identifier, a start node identifier of an end-to-end slice, an end node identifier of an end-to-end slice, quality data of an end-to-end slice, a number of each slice, a start node identifier of each slice, an end node identifier of each slice, a technology employed to implement each slice, a technology instance name to implement each slice, and quality data of each slice, wherein the quality data includes at least one of a delay, a jitter, and a packet loss rate.
In some embodiments of the present disclosure, as shown in fig. 6, the slice service quality detection apparatus further includes an enabling module 65, a slice identifier receiving module 66, and a detection starting module 67, where:
An enabling module 65 configured to turn on the stream-following detection function.
The slice identifier receiving module 66 is configured to receive the incoming slice identifiers.
In some embodiments of the present disclosure, the slice identity receiving module 66 may be configured to receive slice identities incoming through a wireless network or a core network; or receiving a slice identifier transmitted in a router in a configuration command line mode; or, receiving a slice identifier transmitted through the controller or the operation management system.
The detection opening module 67 is configured to open slice quality of service detection based on-stream detection.
In some embodiments of the present disclosure, as shown in fig. 6, the slice quality of service detection apparatus further includes a field extension module 68, wherein:
the field extension module 68 is configured to extend a first field for representing the manner in which the slice identity is entered and a second field for representing the slice identity by detecting the flow instruction header portion of the header with the flow.
The above embodiments of the present disclosure support three ways to enter slice ID values and encapsulate them in an IFIT header, and existing IFIT techniques do not have such capability.
The IFIT protocol of the related art cannot directly detect full-segment slicing service well, the related art only supports indirect measurement of full-segment slicing service, only adopts one implementation technology to perform end-to-end configuration, and does not support configuration of full-segment slicing service by multiple implementation technologies, while the above embodiment of the disclosure supports configuration of one-key direct measurement end-to-end configuration by multiple implementation technologies.
The related art only indirectly collects and reports the quality data of the cut segments laterally, and the above-described embodiments of the present disclosure support direct measurement and total-segment-slice quality data collection and reporting.
The embodiment of the disclosure can directly perform performance detection on the full-segment real slice service by one-key.
Fig. 7 is a schematic structural diagram of other embodiments of a slice service quality detection apparatus according to the present disclosure. As shown in fig. 7, the slice quality of service detection apparatus of the present disclosure may include a memory 71 and a processor 72.
The memory 71 is for storing instructions and the processor 72 is coupled to the memory 71, the processor 72 being configured to implement a slice quality of service detection method as described in any of the embodiments above (e.g. the embodiment of fig. 1 or 2) based on the instructions stored by the memory.
As shown in fig. 7, the session management function network element further includes a communication interface 73 for information interaction with other devices. Meanwhile, the session management function network element further comprises a bus 74, and the processor 72, the communication interface 73 and the memory 71 perform communication with each other through the bus 74.
The Memory 71 may include a high-speed RAM Memory or may further include a Non-volatile Memory (Non-volatile Memory), such as at least one magnetic disk Memory. The memory 71 may also be a memory array. The memory 71 may also be partitioned and the blocks may be combined into virtual volumes according to certain rules.
Further, the processor 72 may be a central processing unit CPU, or may be an application specific integrated circuit ASIC, or one or more integrated circuits configured to implement embodiments of the present disclosure.
According to the embodiment of the disclosure, the FIH field in the IFIT protocol is expanded, so that the IFIT detection technology supports three modes of transmitting slice ID values and packaging the slice ID values in the IFIT message header, and the IFIT protocol has slice service quality detection capability.
According to the embodiment of the disclosure, the slice service quality data is uploaded to the controller through the newly added file format for reporting the slice service quality data of the Telemetry protocol.
The above embodiments of the present disclosure establish a set of flow mechanisms for directly detecting full-segment or segmented slice service quality based on the IFIT protocol.
According to another aspect of the present disclosure, there is provided a router including a slice quality of service detection apparatus as described in any of the above embodiments (e.g. the embodiment of fig. 6 or fig. 7).
The router of the above embodiment of the present disclosure adds a slice service quality detection device, so that the router has the capabilities of slice mapping table generation, fast identification of slice service, forwarding of slice service detection messages and total data collection of slice service quality.
According to another aspect of the disclosure, there is provided a computer readable storage medium storing computer instructions that when executed by a processor implement a slice quality of service detection method as described in any of the embodiments above (e.g., the embodiment of fig. 1 or 2).
In some embodiments of the present disclosure, the computer-readable storage medium may be a non-transitory computer-readable storage medium.
The above embodiments of the present disclosure provide an IFIT slice-based service quality detection method, which can detect full-segment slice service quality and faults implemented in various manners by one key.
According to the embodiment of the disclosure, through adding the functions of the IFIT and the telemet protocol, the method is used for directly detecting the performance of the real slice service flow in the IP network, and sending the slice service performance data to the controller system through the telemet, so that the real-time monitoring and fault positioning of the slice service quality can be realized.
The above embodiments of the present disclosure can implement multi-segment slice quality of service measurements by extending the IFIT-based protocol field and adding router functionality.
The embodiment of the disclosure can be used for detecting whether the quality data such as time delay, packet loss, jitter and the like of the full-segment or segmented slice service in the IP network accords with the expectations or not when the slice service is deployed.
When the embodiment of the disclosure is used for ordering slicing service products by users, the quality data such as time delay, packet loss, jitter and the like of full-segment or segmented slicing service in an IP network can be directly measured, the current slicing service quality state is presented for clients in real time, and meanwhile, the index degradation position can be positioned.
The embodiment of the disclosure can enrich the function of the IFIT stream-following detection technology, so that the IFIT stream-following detection technology has the capability of detecting the quality of the real message of the cut-off service.
The router of the above embodiment of the present disclosure adds a slice service quality detection device, so that the detection message can be quickly forwarded on the slice segment node according to the slice mapping table.
The embodiment of the disclosure adds the file format for reporting the slice service quality data of the Telemetry protocol, so that the file format has the reporting of the full-segment slice service and the segment slice service quality data.
The embodiment of the disclosure provides a slice service quality detection method based on an IFIT protocol, which can efficiently and accurately directly measure the quality data of real slice service in a one-key manner and has good commercial value.
It will be apparent to those skilled in the art that embodiments of the present disclosure may be provided as a method, apparatus, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable non-transitory storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The slice quality of service detection apparatus, mapping table generation module, message generation module, quality data summary module, quality data reporting module, enabling module, slice identification reception module, detection start module, and field extension module described above may be implemented as general purpose processors, programmable Logic Controllers (PLCs), digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or any suitable combination thereof for performing the functions described herein.
Thus far, the present disclosure has been described in detail. In order to avoid obscuring the concepts of the present disclosure, some details known in the art are not described. How to implement the solutions disclosed herein will be fully apparent to those skilled in the art from the above description.
Those of ordinary skill in the art will appreciate that all or a portion of the steps implementing the above embodiments may be implemented by hardware, or may be implemented by a program indicating that the relevant hardware is implemented, where the program may be stored on a non-transitory computer readable storage medium, where the storage medium may be a read-only memory, a magnetic disk or optical disk, etc.
The description of the present disclosure has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the disclosure in the form disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiments were chosen and described in order to best explain the principles of the disclosure and the practical application, and to enable others of ordinary skill in the art to understand the disclosure for various embodiments with various modifications as are suited to the particular use contemplated.

Claims (23)

1. A method for slice quality of service detection, comprising:
generating a slice segment mapping table according to the slice identification and the slice segment implementation mode;
detecting a real slicing service message, generating a stream-following detection slicing service detection message, and forwarding the slicing service detection message;
summarizing all slice quality data of the end-to-end slices and the slices;
And reporting the slice quality data.
2. The slice quality of service detection method of claim 1, further comprising:
starting a stream following detection function;
receiving an incoming slice identification value;
and starting slice service quality detection based on the stream following detection.
3. The slice quality of service detection method of claim 2, wherein the receiving an incoming slice identity comprises:
receiving a slice identifier transmitted through a wireless network or a core network;
or alternatively, the first and second heat exchangers may be,
receiving a slice identifier transmitted in a router in a configuration command line mode;
or alternatively, the first and second heat exchangers may be,
and receiving the slice identification transmitted by the controller or the operation management system.
4. The slice quality of service detection method according to any one of claims 1-3, further comprising:
and expanding a first field and a second field by a stream instruction head part of the stream detection message head, wherein the first field is used for representing the mode of the incoming slice identifier, and the second field is used for representing the slice identifier.
5. A slice quality of service detection method according to any one of claims 1-3, wherein:
the slice segment mapping table is a global mapping table of slice segments, end-to-end slice identifiers and all implementation modes;
The slice segment mapping table comprises slice identification, slice segment or full segment implementation technology, slice segment or full segment head and tail nodes and slice segment or full segment head and tail node ports.
6. The slice service quality detection method according to any one of claims 1 to 3, wherein the detecting the real slice service message, generating a slice-along-flow detection service detection message, and forwarding the slice service detection message includes:
identifying the slice service message through the global mapping table, selectively encapsulating the flow-following detection message header, and generating the flow-following detection slice service detection message;
and after receiving the slice stream detection message, the intermediate node forwards the message through the global mapping table obtained by notification.
7. The slice service quality detection method according to any one of claims 1 to 3, wherein after detecting the real slice service message, generating a stream-following detection slice service detection message and forwarding the slice service detection message, further comprising:
judging whether the node receiving the slice detection message is a slice segment starting node or not;
under the condition that the node receiving the slice detection message is a slice segment starting node, splicing a slice mapping table of the slice segment on the basis of the previous slice segment mapping table, then detecting the real slice service message again, generating a stream-following detection slice service detection message, and forwarding the slice service detection message;
And forwarding the slice service detection message according to the slice mapping table under the condition that the node receiving the slice detection message is not the slice section starting node.
8. The slice service quality detection method according to any one of claims 1 to 3, wherein after detecting the real slice service message, generating a stream-following detection slice service detection message and forwarding the slice service detection message, further comprising:
judging whether the node receiving the slice detection message is a tail node of the whole slice or not;
forwarding the slice service detection message according to the slice mapping table under the condition that the node receiving the slice detection message is not the tail node of the whole slice;
and generating an end-to-end global slice mapping table under the condition that the node receiving the slice detection message is the tail node of the whole slice.
9. The slice quality of service detection method according to any one of claims 1-3, wherein said reporting the slice quality data comprises:
and reporting the slice quality data according to a file format of uploading the predetermined slice service quality data.
10. The slice quality of service detection method of claim 9, wherein:
the slice quality data of the file format sent on the predetermined slice service quality data comprises at least one of acquisition time, slice identification, start node identification of an end-to-end slice, end node identification of an end-to-end slice, quality data of an end-to-end slice, serial number of each slice, start node identification of each slice, end node identification of each slice, technology adopted for realizing each slice, technology instance name for realizing each slice and quality data of each slice, wherein the quality data comprises at least one of time delay, jitter and packet loss rate.
11. A slice quality of service detection apparatus, comprising:
the mapping table generation module is configured to generate a slice segment mapping table according to the slice identification and the slice segment implementation mode;
the message generation module is configured to detect the real slicing service message, generate a stream-following detection slicing service detection message and forward the slicing service detection message;
the quality data summarizing module is configured to summarize end-to-end slices and all slice quality data of the slices;
and the quality data reporting module is configured to report the slice quality data.
12. The slice quality of service detection apparatus of claim 11, further comprising:
an enabling module configured to turn on a stream-following detection function;
a slice identifier receiving module configured to receive an incoming slice identifier;
and the detection starting module is configured to start slice service quality detection based on the follow-up detection.
13. The slice quality of service detection apparatus of claim 12, wherein:
the slice identification receiving module is configured to receive slice identifications transmitted through a wireless network or a core network; or receiving a slice identifier transmitted in a router in a configuration command line mode; or, receiving a slice identifier transmitted through the controller or the operation management system.
14. The slice quality of service detection apparatus according to any one of claims 11-13, further comprising:
and the field expansion module is configured to expand a first field and a second field through a flow instruction head part of the flow detection message head, wherein the first field is used for representing the mode of the incoming slice identifier, and the second field is used for representing the slice identifier.
15. The slice quality of service detection apparatus according to any one of claims 11-13, wherein:
the slice segment mapping table is a global mapping table of slice segments, end-to-end slice identifiers and all implementation modes;
the slice segment mapping table comprises slice identification, slice segment or full segment implementation technology, slice segment or full segment head and tail nodes and slice segment or full segment head and tail node ports.
16. The slice quality of service detection apparatus according to any one of claims 11-13, wherein:
the message generation module is configured to identify the slice service message through the global mapping table, selectively package the flow-following detection message header and generate the flow-following detection slice service detection message; and after receiving the slice flow-following detection message, the intermediate node forwards the message through the global mapping table obtained by notification.
17. The slice quality of service detection apparatus according to any one of claims 11-13, wherein:
the message generation module is configured to detect the real slice service message, generate a stream-following detection slice service detection message, and after forwarding the slice service detection message, judge whether the node receiving the slice detection message is a slice segment starting node; under the condition that the node receiving the slice detection message is a slice segment starting node, splicing a slice mapping table of the slice segment on the basis of the previous slice segment mapping table, then detecting the real slice service message again, generating a stream-following detection slice service detection message, and forwarding the operation of the slice service detection message; and forwarding the slice service detection message according to the slice mapping table under the condition that the node receiving the slice detection message is not the slice section starting node.
18. The slice quality of service detection apparatus according to any one of claims 11-13, wherein:
the message generation module is configured to detect the real slice service message, generate a stream-following detection slice service detection message, and after forwarding the slice service detection message, judge whether the node receiving the slice detection message is the tail node of the whole slice; forwarding the slice service detection message according to the slice mapping table under the condition that the node receiving the slice detection message is not the tail node of the whole slice; and generating an end-to-end global slice mapping table under the condition that the node receiving the slice detection message is the tail node of the whole slice.
19. The slice quality of service detection apparatus according to any one of claims 11-13, wherein:
and the quality data reporting module is configured to report the slice quality data according to a preset slice service quality data reporting file format.
20. The slice quality of service detection apparatus of claim 9, wherein:
the slice quality data of the file format sent on the predetermined slice service quality data comprises at least one of acquisition time, slice identification, start node identification of an end-to-end slice, end node identification of an end-to-end slice, quality data of an end-to-end slice, serial number of each slice, start node identification of each slice, end node identification of each slice, technology adopted for realizing each slice, technology instance name for realizing each slice and quality data of each slice, wherein the quality data comprises at least one of time delay, jitter and packet loss rate.
21. A slice quality of service detection apparatus, comprising:
a memory configured to store instructions;
a processor configured to execute the instructions such that the sliced quality of service detection means performs operations implementing the sliced quality of service detection method in accordance with any one of claims 1-10.
22. A router comprising a slice quality of service detection apparatus according to any one of claims 11-21.
23. A computer readable storage medium storing computer instructions which, when executed by a processor, implement the slice quality of service detection method of any one of claims 1-9.
CN202211191838.4A 2022-09-28 2022-09-28 Slice service quality detection method and device, router and storage medium Pending CN117835297A (en)

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