CN113472591B - Method and device for determining service performance - Google Patents
Method and device for determining service performance Download PDFInfo
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- CN113472591B CN113472591B CN202110802232.9A CN202110802232A CN113472591B CN 113472591 B CN113472591 B CN 113472591B CN 202110802232 A CN202110802232 A CN 202110802232A CN 113472591 B CN113472591 B CN 113472591B
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- 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
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/142—Network analysis or design using statistical or mathematical methods
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- 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
- H04L43/0852—Delays
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- 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
- H04L43/0876—Network utilisation, e.g. volume of load or congestion level
- H04L43/0888—Throughput
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The embodiment of the invention provides a method and a device for determining service performance, relates to the technical field of communication, and can reasonably and accurately determine the performance state (including resource state and communication state) of a service in a network and improve the effectiveness of service deployment and use. The method comprises the following steps: acquiring performance indexes of a plurality of effective nodes corresponding to a target service and network performance parameters of the target service; respectively determining a resource layer evaluation result corresponding to the target service and a service layer evaluation result corresponding to the target service according to the performance indexes of the plurality of effective nodes and the network performance parameter of the target service; and determining the minimum value of the resource layer evaluation result and the service layer evaluation result as a target result, wherein the target result is used for representing the service performance of the target service.
Description
Technical Field
The embodiment of the invention relates to the technical field of communication, in particular to a method and a device for determining service performance.
Background
Currently, service performance of a service can be evaluated based on network performance parameters (such as bandwidth, delay, and the like) of the service. Specifically, for a certain service, the lower the delay of the service is, the better the service performance of the service is, that is, the service can be well completed in the network.
However, the above method for evaluating service performance only depending on a certain network performance parameter (i.e. latency) may only be applicable to a service (e.g. an unmanned service) with a high demand for latency, and when the service also has a high demand for other performance (e.g. bandwidth), the evaluation criterion may not be met, that is, the state of the service in the network cannot be accurately and effectively determined, which affects the deployment and use of the service.
Disclosure of Invention
The embodiment of the invention provides a method and a device for determining service performance, which can reasonably and accurately determine the performance state (including a resource state and a communication state) of a service in a network and improve the effectiveness of service deployment and use.
In a first aspect, an embodiment of the present invention provides a method for determining service performance, including: acquiring performance indexes of a plurality of effective nodes corresponding to a target service and a network performance parameter of the target service, wherein the performance index of one effective node comprises at least one of computing capacity, storage capacity, routing connection number and node stability, and the network performance parameter comprises at least one of service stability, service connection capacity, throughput and time delay; respectively determining a resource layer evaluation result corresponding to the target service and a service layer evaluation result corresponding to the target service according to the performance indexes of the effective nodes and the network performance parameter of the target service, wherein the resource layer evaluation result is used for representing the resource capability of the target service in the network, and the service layer evaluation result is used for representing the transmission capability of the target service in the network; and determining the minimum value of the resource layer evaluation result and the service layer evaluation result as a target result, wherein the target result is used for representing the service performance of the target service.
In a second aspect, an embodiment of the present invention provides an apparatus for determining service performance, including: the device comprises an acquisition module and a determination module; the acquisition module is used for acquiring performance indexes of a plurality of effective nodes corresponding to a target service and network performance parameters of the target service, wherein the performance index of one effective node comprises at least one of computing capacity, storage capacity, routing connection number and node stability, and the network performance parameters comprise at least one of service stability, service connection capacity, throughput and time delay; the determining module is configured to determine, according to the performance indexes of the plurality of effective nodes and the network performance parameter of the target service, a resource layer evaluation result corresponding to the target service and a service layer evaluation result corresponding to the target service, where the resource layer evaluation result is used to represent a resource capability of the target service in a network, and the service layer evaluation result is used to represent a transmission capability of the target service in the network; the determining module is further configured to determine a minimum value of the resource layer evaluation result and the service layer evaluation result as a target result, where the target result is used to characterize service performance of the target service.
In a third aspect, an embodiment of the present invention provides a server, including: a processor, a memory, a bus, and a communication interface; the memory is used for storing computer-executable instructions, the processor is connected with the memory through the bus, and when the server runs, the processor executes the computer-executable instructions stored in the memory, so that the server device executes the service performance determination method provided by the first aspect.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, which includes a computer program and when the computer program runs on a server, causes the server to execute the method for determining service performance provided in the first aspect.
In a fifth aspect, an embodiment of the present invention provides a computer program product containing instructions, which, when run on a server, causes the server to execute the method for determining service performance of the first aspect and any implementation manner thereof.
According to the method and the device for determining the service performance, provided by the embodiment of the invention, the server can obtain the performance indexes of a plurality of effective nodes corresponding to the target service and the network performance parameters of the target service; and the server respectively determines a resource layer evaluation result corresponding to the target service and a service layer evaluation result corresponding to the target service according to the performance indexes of the effective nodes and the network performance parameters, and determines the minimum value of the resource layer evaluation result and the service layer evaluation result as a target result for representing the service performance of the target service. In the embodiment of the present invention, the resource layer evaluation result may represent the resource capability of the target service in the network (specifically, the resource state of the target service in the plurality of effective nodes), and the service layer evaluation result is used to represent the transmission capability of the target service in the network (specifically, the communication state of the target service in the network).
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below.
Fig. 1 is a schematic network architecture of a wireless communication system according to an embodiment of the present invention;
fig. 2 is a hardware schematic diagram of a server according to an embodiment of the present invention;
fig. 3 is a schematic flowchart of a method for determining service performance according to an embodiment of the present invention;
fig. 4 is a schematic flowchart of another method for determining service performance according to an embodiment of the present invention;
fig. 5 is a schematic flowchart of another method for determining service performance according to an embodiment of the present invention;
fig. 6 is a schematic flowchart of another method for determining service performance according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of a service performance determining apparatus according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of another apparatus for determining service performance according to an embodiment of the present invention.
Detailed Description
The following describes a method and an apparatus for determining service performance according to an embodiment of the present invention in detail with reference to the accompanying drawings.
The terms "first" and "second", etc. in the description and drawings of the present application are used to distinguish different objects, and are not used to describe a particular order of the objects.
Furthermore, the terms "including" and "having," and any variations thereof, as referred to in the description of the present application, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that, in the embodiments of the present invention, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "exemplary" or "such as" in an embodiment of the present invention is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present relevant concepts in a concrete fashion.
The term "and/or" as used herein includes the use of either or both of the two methods.
In the description of the present application, the meaning of "a plurality" means two or more unless otherwise specified.
Based on the problems existing in the background art, embodiments of the present invention provide a method and an apparatus for determining service performance, where a server may obtain performance indexes of a plurality of effective nodes corresponding to a target service and a network performance parameter of the target service; and the server respectively determines a resource layer evaluation result corresponding to the target service and a service layer evaluation result corresponding to the target service according to the performance indexes of the effective nodes and the network performance parameters, and determines the minimum value of the resource layer evaluation result and the service layer evaluation result as a target result for representing the service performance of the target service. In the embodiment of the present invention, the resource layer evaluation result may represent the resource capability of the target service in the network (specifically, the resource state of the target service in the plurality of effective nodes), and the service layer evaluation result is used to represent the transmission capability of the target service in the network (specifically, the communication state of the target service in the network).
The method and the device for determining service performance provided by the embodiment of the present invention may be applied to a wireless communication system, as shown in fig. 1, the wireless communication system includes an access network area 10, a backbone network area 20, a cloud data center network area 30, a management and control system 40, and a server 50. Specifically, the access network area 10 includes a Software Defined Network (SDN) controller 101, an ingress node 102, a routing node 103, and an egress node 104, the backbone network area 20 includes an SDN controller 201, an ingress node 202, a routing node 203, and an egress node 204, the cloud data center network area 30 includes an SDN controller 301, an ingress node 302, a routing node 303, and an egress node 304, and the management and control system 40 includes a service orchestration device 401. In general, in practical applications, the connections between the above-mentioned devices or service functions may be wireless connections, and fig. 1 illustrates the connections between the devices by solid lines for convenience of intuitively representing the connections between the devices.
Among other things, the SDN controller 101 may obtain performance indicators of the nodes (i.e., the ingress node 102, the routing node 103, and the egress node 104) included in the access network area 10, and send the performance indicators to the service orchestration device 401. Furthermore, the SDN controller 101 may further obtain the network performance parameter of the target service in the access network area 10, and send the network performance parameter of the target service in the access network area 10 to the service orchestration device. Similarly, the role of the SDN controller 201 in the backbone network area 20 and the role of the SDN controller 301 in the cloud data center network area 30 are the same as the role of the SDN controller 101 in the access network area 10, and are not described herein again.
The service orchestration device 401 is configured to obtain, from SDN controllers (i.e., the SDN controller 101, the SDN controller 201, and the SDN controller 301) of respective network areas (e.g., the access network area 10, the backbone network area 20, and the cloud data center network area 30 in fig. 1) in fig. 1, performance indexes of a plurality of nodes included in each network area and network performance of the target service. In this embodiment of the present invention, the service orchestration device 401 is further configured to determine a plurality of valid nodes corresponding to the target service, where the plurality of valid nodes are nodes corresponding to or related to the target service in the plurality of nodes.
The server 50 is configured to obtain, from the service orchestration device 401, performance indexes of a plurality of valid nodes corresponding to the target service and a network performance parameter of the target service. Optionally, server 50 may also establish communication connections (not shown in the figure) with SDN controller 101, SDN controller 201, and SDN controller 301, respectively. Specifically, the server 50 may obtain, from the SDN controller 101, the SDN controller 201, and the SDN controller 301, performance indexes of a plurality of nodes included in each network area and network performance of the target service in each network area, so that the server 50 may obtain the performance indexes of a plurality of valid nodes corresponding to the target service and the network performance parameters of the target service.
It should be noted that, adjacent nodes included in the same network area (e.g., the access network area 10) shown in fig. 1 may have a connection relationship, for example, a connection relationship (not shown) exists between the ingress node 102 and the routing node 103, and nodes included in adjacent network areas may also have a connection relationship, for example, a connection relationship (not shown) exists between the egress node 104 and the ingress node 202. In an implementation manner of the embodiment of the present invention, user Equipment (UE) may obtain service data through nodes included in the multiple network areas.
Optionally, each of the network areas (for example, the access network area 10) may include a plurality of nodes, and the inclusion of 3 nodes in the access network area 10 shown in fig. 1 is only one example in the embodiment of the present invention. The number of nodes included in each of the plurality of network areas is not specifically limited in the embodiments of the present invention.
For example, a device for determining service performance provided by the embodiment of the present invention may be a server, and fig. 2 is a schematic diagram of a hardware structure of the server that executes the method for determining service performance provided by the embodiment of the present invention. As shown in fig. 2, the server 60 includes a processor 601, a memory 602, a network interface 603, and the like.
The processor 601 is a core component of the server 60, and the processor 601 is configured to run an operating system of the server 60 and application programs (including a system application program and a third-party application program) on the server 60, so as to implement the method for determining the service performance of the server 60.
In this embodiment, the processor 601 may be a Central Processing Unit (CPU), a microprocessor, a Digital Signal Processor (DSP), an application-specific integrated circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof, which is capable of implementing or executing the various exemplary logic blocks, modules, and circuits described in connection with the disclosure of the embodiment of the present invention; a processor may also be a combination of computing functions, e.g., comprising one or more microprocessors, a DSP and a microprocessor, or the like.
Optionally, the processor 601 of the server 60 includes one or more CPUs, which are single-core CPUs (single-CPUs) or multi-core CPUs (multi-CPUs).
The memory 602 includes, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical memory, or the like. The memory 602 holds the code for the operating system.
Optionally, the processor 601 reads the instruction stored in the memory 602 to implement the method for determining service performance in the embodiment of the present invention, or the processor 601 implements the method for determining service performance provided in the embodiment of the present invention by using an instruction stored inside. In the case that the processor 601 implements the method for determining service performance provided by the embodiment of the present invention by reading the execution saved in the memory, the memory stores instructions for implementing the method for determining service performance provided by the embodiment of the present invention.
The network interface 603 is a wired interface, such as a Fiber Distributed Data Interface (FDDI) interface or a Gigabit Ethernet (GE) interface. Alternatively, the network interface 603 is a wireless interface. The network interface 603 is used for the server 60 to communicate with other devices.
The memory 602 is configured to store performance indicators of a plurality of active nodes corresponding to a target service and a network performance parameter of the target service. The at least one processor 601 further executes the method described in the embodiment of the present invention according to the performance indicators of the plurality of active nodes corresponding to the target service and the network performance parameter of the target service, which are stored in the memory 602. For more details of the processor 601 to implement the above functions, reference is made to the following description of various method embodiments.
Optionally, the server 60 further includes a bus, and the processor 601 and the memory 602 are connected to each other through the bus 604 or in other manners.
Optionally, the server 60 further includes an input/output interface 605, where the input/output interface 605 is used to connect with an input device, and receive a service performance determination request input by a user through the input device. Input devices include, but are not limited to, a keyboard, a touch screen, a microphone, and the like. The input/output interface 605 is also used for connecting with an output device, and outputting the service performance determination result (i.e., the target result) of the processor 601. Output devices include, but are not limited to, a display, a printer, and the like.
As shown in fig. 3, the method for determining service performance according to the embodiment of the present invention may include S101 to S103.
S101, the server obtains performance indexes of a plurality of effective nodes corresponding to the target service and network performance parameters of the target service.
The performance index of an effective node comprises at least one of computing capacity, storage capacity, routing connection number and node stability, and the network performance parameter comprises at least one of service stability, service connection capacity, throughput and time delay.
In conjunction with the above description of the embodiments, it should be understood that the server may obtain the performance indicators and the network performance parameters directly from the service orchestration device. The server may also obtain performance indexes of a plurality of nodes included in each network area and network performance of the target service in each network area from SDN controllers corresponding to the plurality of network areas, so that the server may obtain performance indexes of a plurality of effective nodes corresponding to the target service and network performance parameters of the target service.
It should be understood that the plurality of active nodes are nodes related to or corresponding to a target service among a plurality of nodes included in the network (specifically, in a plurality of network areas), and the target service requires a related implementation or forwarding process of the service via the plurality of active nodes.
The indicators or parameters included in the performance indicators and network performance parameters are described in detail below.
Specifically, for a certain node, the computing power of the node may also be understood as the floating point computing power (or computing power) of the node, and the unit is floating point operations per second (pop/S). The storage capacity of the node is used to characterize the capacity of the node to hold the resources of the information in bytes (bytes). The number of routing connections for the node is used to characterize how many nodes or devices the node can connect to at most. The node stability of the node may be a non-failure rate of the node. It should be appreciated that the node may have an initial non-failure rate at the time of factory shipment (i.e., the non-failure rate of the node at the initial stage), which may change during the use of the node.
In an implementation manner of the embodiment of the present invention, a non-failure rate of a node satisfies the following formula:
P＝S/S′×P′
S＝S′+S”
wherein P represents a non-failure rate of the node, S represents a time during which the node normally operates, S 'represents a total time during which the node operates, P' represents an initial non-failure rate of the node, and S ″ represents a failure operation time of the node (i.e., a time during which the node stops operating normally due to a failure).
For a certain service (e.g., a target service), the service stability of the target service may be described based on the non-packet loss rate of the target service. For example, the sending end device sends 10 data packets based on the target service, and the receiving end device receives 9 data packets of the 10 data packets, so that it may be determined that the service stability (i.e., the non-packet loss rate) of the target service is 90%. The service connection capability of the target service can be understood as the maximum concurrent number of the target service, that is, the maximum number of requests sent to the target terminal at the same time, and when the sizes of the data packets are the same, the service connection capability of the target service can be understood as the number of data packets sent per second. The throughput of the target service can be understood as the maximum transmissible flow of the target service, i.e. the maximum bandwidth corresponding to the target service. The time delay of the target service is the time difference between the receiving end receiving the data of the target service and the sending end sending the data of the target service.
S102, the server respectively determines a resource layer evaluation result corresponding to the target service and a service layer evaluation result corresponding to the target service according to the performance indexes of the effective nodes and the network performance parameters of the target service.
The resource layer evaluation result is used for representing the resource capacity of the target service in the network, and the service layer evaluation result is used for representing the transmission capacity of the target service in the network.
It should be understood that the resource capability of the target service in the network is the resource state of the target service in the plurality of active nodes, and when the resource state of the target service in the plurality of active nodes is better (for example, the calculation capability, the storage capability, the number of routing connections, and the node stability are better), it indicates that the resource capability of the target service in the network is better. The transmission capability of the target service in the network is the communication state of the target service in the network. When the communication state of the target service in the network is better (for example, the service stability, the service connection capability, the throughput and the time delay are all better), it indicates that the transmission capability of the target service in the network is better.
With reference to fig. 3, as shown in fig. 4, before the step S102, the method for determining service performance according to the embodiment of the present invention further includes a step S104.
S104, the server determines the network areas corresponding to the effective nodes.
The network area comprises an access network area, a backbone network area and a cloud data center network area.
In conjunction with the description of the foregoing embodiment, it should be understood that the network may include the 3 network regions, each network region may include a plurality of nodes, and the plurality of valid nodes are nodes corresponding to the target service in all nodes included in each network region.
It is to be understood that the above access network region may be understood as a region composed of nodes in the vicinity of the UE access location (specifically, between the base station and the core network). The backbone network area is an area formed by nodes included in a backbone network (i.e., a network of an operator). The cloud data center network region may be understood as a region composed of nodes included in an external data network.
Continuing with fig. 4, in an implementation manner of the embodiment of the present invention, the determining, by the server, the resource layer evaluation result corresponding to the target service according to the performance indicators of the multiple effective nodes may specifically include S1021-S1022.
And S1021, the server respectively determines an evaluation result corresponding to the access network area, an evaluation result corresponding to the backbone network area and an evaluation result corresponding to the cloud data center network area according to the performance index of the effective node included in the access network area, the performance index of the effective node included in the backbone network area and the performance index of the effective node included in the data center network area.
It should be understood that the evaluation result corresponding to the access network area is used to characterize the resource capability of the target service in the access network area, the evaluation result corresponding to the backbone network area is used to characterize the resource capability of the target service in the backbone network area, and the evaluation result corresponding to the cloud data center network area is used to characterize the resource capability of the target service in the cloud data center network area.
In an implementation manner of the embodiment of the present invention, the access network area includes n valid nodes, where n is greater than or equal to 1. Determining an evaluation result corresponding to the access network area according to the performance index of the effective node included in the access network area, which may specifically include steps a-B.
Step A, the server determines that the evaluation result of the ith effective node included in the access network area meets the following formula:
wherein, g i Represents the evaluation result of the i-th valid node, w i Represents the computing power of the ith valid node, w max Represents the maximum value of the computing power in the n active nodes, c i Indicating the storage capacity of the i-th valid node, c max Represents the maximum value of the storage capacity in the n valid nodes, r i Indicates the number of routing connections of the i-th valid node, r max Represents the maximum value of the number of routing connections in the n effective nodes, p i Represents the node stability, p, of the ith valid node max Represents the maximum value of node stability in the n effective nodes, a 1 A weight coefficient representing the computing power, a 2 A weight coefficient representing the storage capacity, a 3 A weight coefficient representing the number of the route connections, a 4 Weight coefficient representing the stability of the node, a 1 +a 2 +a 3 +a 4 ＝1。
And step B, the server determines the average value of the evaluation results of the n effective nodes as the evaluation result corresponding to the access network area.
Specifically, the evaluation result corresponding to the access network area may satisfy the following formula:
wherein g represents the evaluation result corresponding to the access network area, g i And representing the evaluation result of the ith valid node included in the access network area, wherein the access network area includes n valid nodes.
In another implementation manner of the embodiment of the present invention, the backbone network area includes m effective nodes, where m is greater than or equal to 1. Determining an evaluation result corresponding to the backbone network area according to the performance index of the effective node included in the backbone network area, which may specifically include steps C to D.
Step C, the server determines that the evaluation result of the jth effective node included in the backbone network area meets the following formula:
wherein q is j Represents the evaluation result of the j effective node, w j Represents the computing power, w ', of the jth active node' max Represents the maximum value of the computing power in the m active nodes, c j Represents the storage capability, c 'of the jth active node' max Represents the maximum value of the storage capacity in the m valid nodes, r j Indicates the number of route connections, r ', of the jth active node' max Represents the maximum value, p, of the number of routing connections in the m active nodes j Denotes the node stability, p 'of the jth valid node' max Maximum value representing node stability in the m valid nodes, b 1 A weight coefficient representing the calculation ability, b 2 A weight coefficient representing the storage capacity, b 3 A weight coefficient representing the number of the route connections, b 4 Weight coefficient representing the stability of the node, b 1 +b 2 +b 3 +b 4 ＝1。
And D, the server determines the average value of the evaluation results of the m effective nodes as the evaluation result corresponding to the backbone network area.
Specifically, the evaluation result corresponding to the backbone network area may satisfy the following formula:
wherein q represents an evaluation result corresponding to the backbone network area, q j And representing the evaluation result of the jth effective node included in the backbone network area, wherein the backbone network area includes m effective nodes.
In one implementation mode, the cloud data center network area comprises y effective nodes, and y is greater than or equal to 1. Determining an evaluation result corresponding to the cloud data center network area according to the performance index of the effective node included in the cloud data center network area, which may specifically include steps E to F.
Step E, the server determines that the evaluation result of the tth effective node included in the cloud data center network area meets the following formula:
wherein z is t Represents the evaluation result of the t-th valid node, w t Indicates the computing power, w ″, of the t-th valid node max Represents the maximum value of the computing power in the y valid nodes, c t Indicates the storage capacity, c ″, of the t-th valid node max Represents the maximum value of the storage capacity in the y valid nodes, r t Indicates the number of route connections, r ″, of the t-th valid node max Represents the maximum value of the number of routing connections, p, in the y valid nodes t Indicates the node stability, p ″, of the t-th valid node max Maximum value representing node stability in the y valid nodes, d 1 A weight coefficient representing the computing power, d 2 A weight coefficient representing the storage capacity, d 3 A weight coefficient representing the number of connections of the route, d 4 Weight coefficient representing the stability of the node, d 1 +d 2 +d 3 +d 4 ＝1。
And F, the server determines the average value of the evaluation results of the y effective nodes as the evaluation result corresponding to the cloud data center network area.
Specifically, the evaluation result corresponding to the cloud data center network area may satisfy the following formula:
whereinZ represents an evaluation result corresponding to the cloud data center network area, and z t And representing the evaluation result of the t-th effective node included in the cloud data center network area, wherein the cloud data center network area includes y effective nodes.
And S1022, the server determines an average value of the evaluation result corresponding to the access network area, the evaluation result corresponding to the backbone network area and the evaluation result corresponding to the cloud data center network area as a resource layer evaluation result corresponding to the target service.
In an implementation manner of the embodiment of the present invention, the server may directly determine an average value of the 3 evaluation results (that is, the evaluation result corresponding to the access network area, the evaluation result corresponding to the backbone network area, and the evaluation result corresponding to the cloud data center network area) as the resource layer evaluation result.
In another implementation manner, the server may further assign weight values to the 3 evaluation results, and then determine the resource layer evaluation result based on the 3 evaluation results and the weight values corresponding to the 3 evaluation results.
Specifically, the resource layer evaluation result corresponding to the target service satisfies the following formula:
wherein F represents the resource layer evaluation result, g represents the evaluation result corresponding to the access network area, q represents the evaluation result corresponding to the backbone network area, z represents the evaluation result corresponding to the cloud data center network area, e 1 A weight value representing an evaluation result corresponding to the access network area, e 2 Weight value e indicating evaluation result corresponding to the backbone network area 3 A weight value representing an evaluation result corresponding to the cloud data center network area, e 1 +e 2 +e 3 ＝1。
With reference to fig. 3 and as shown in fig. 5, in an implementation manner of the embodiment of the present invention, the determining, by the server, the service layer evaluation result corresponding to the target service according to the network performance parameter of the target service may specifically include S1023 to S1026.
S1023, the server determines the service type corresponding to the target service.
The service types include a macro connection service, a large flow service and a low delay service.
It should be understood that the macro connection service is a service applied in an mtc scenario, that is, a large-scale internet of things (or mass machine communication) scenario, and has a high requirement on service connection capability. The high traffic is a traffic applied in an eMBB (mobile bandwidth enhancement) scenario, and has a high requirement on throughput (or bandwidth). The low-delay service is a service applied in a urrllc (ultra-high reliable low-delay communication) scenario, and has a high requirement on delay.
S1024, the server determines a weight sorting result corresponding to the network performance parameter of the target service according to the service type corresponding to the target service.
And the weight sorting result is used for representing the weight coefficients of each parameter included in the network performance parameters, and the weight coefficients are in the order from small to small.
In an implementation manner of the embodiment of the present invention, when the service type corresponding to the target service is a macro connection service, the server may determine that the weight sorting result is a first sorting result, where the first sorting result is used to represent that a weight coefficient of service connection capability > a weight coefficient of service stability > a weight coefficient of throughput > a weight coefficient of latency, and where the weight coefficient of service connection capability > the weight coefficient of service stability indicates that the weight coefficient of service connection capability is greater than the weight coefficient of service stability.
With reference to the description of the foregoing embodiment, when the service type corresponding to the target service is the macro connection service, it indicates that the target service has a higher requirement on the service connection capability, that is, the server may allocate a larger weight coefficient to the service connection capability.
In another implementation manner of the embodiment of the present invention, when the service type corresponding to the target service is a large-traffic service, the server may determine that the weight ranking result is a second ranking result, where the second ranking result is used to represent a weight coefficient of throughput > a weight coefficient of service stability > a weight coefficient of service connection capability > a weight coefficient of delay.
With reference to the description of the foregoing embodiment, when the service type corresponding to the target service is a large-traffic service, it indicates that the target service has a higher requirement for throughput, that is, the server may allocate a larger weight coefficient to the throughput.
In the embodiment of the present invention, when the service type corresponding to the target service is a low-latency service, the server may determine that the weight ranking result is a third ranking result, where the third ranking result is used to represent a weight coefficient of latency > a weight coefficient of service stability > a weight coefficient of throughput > a weight coefficient of service connection capability.
With reference to the description of the foregoing embodiment, when the service type corresponding to the target service is a low latency service, it indicates that the target service has a higher requirement for latency, that is, the server may allocate a larger weight coefficient to the latency.
S1025, the server distributes a weight coefficient to each parameter based on a weight sorting result corresponding to the network performance parameter of the target service to obtain the respective weight coefficient of each parameter.
Optionally, the server may assign a weight coefficient to each parameter based on the relevant charging of the target service and the user type corresponding to the target service. It should be understood that the respective weighting coefficients for each of the parameters should satisfy the weight ordering result.
For example, assuming that the service type corresponding to the target service is a low-latency service, and the weight coefficient allocated by the server for latency is 0.5, the weight coefficient allocated by the server for service stability, throughput, and service connection capability should be less than 0.5.
S1026, the server determines a service layer evaluation result corresponding to the target service based on each parameter and the respective weight coefficient of each parameter.
Specifically, for a parameter included in the network performance parameter, the server may assign an evaluation value to the parameter based on a value corresponding to the parameter, where the evaluation value is used to characterize the satisfaction degree of the parameter.
For example, assuming that the minimum delay requirement corresponding to the target service is 100ms (milliseconds), if the delay included in the network performance parameter (that is, the delay of the target service acquired by the server) is 50ms, the evaluation value allocated to the delay by the server may be 1; if the time delay included in the network performance parameter is 100ms, the evaluation value allocated to the time delay by the server may be 0.5; if the delay included in the network performance parameter is 200ms, the server may assign an evaluation value of 0 to the delay. It is to be understood that the satisfaction at an evaluation value of 1 > the satisfaction at an evaluation value of 0.5 > the satisfaction at an evaluation value of 0.
In an implementation manner of the embodiment of the present invention, the step S1026 may specifically include a step G.
G, the server determines that the service layer evaluation result corresponding to the target service meets the following formula:
wherein V represents the service layer evaluation result, V a Indicates the service stability of the target service, v b Representing the service connection capability of the target service, v c Represents the throughput, v, of the target service d Representing the time delay, k, of the target service 1 Weight coefficient, k, representing the stability of the traffic 2 Weight coefficient, k, representing the capacity of the service connection 3 A weight coefficient, k, representing the throughput 4 A weight coefficient, k, representing the time delay 1 、k 2 、k 3 And k 4 Are both greater than 0.
S103, the server determines the minimum value of the resource layer evaluation result corresponding to the target service and the service layer evaluation result corresponding to the target service as a target result.
And the target result is used for representing the service performance of the target service.
In conjunction with the description of the foregoing embodiments, it should be understood that the resource layer evaluation result is used to characterize the resource capability of the target service in the network, and the service layer evaluation result is used to characterize the transmission capability of the target service in the network. In the embodiment of the present disclosure, the minimum value may represent the maximum risk of the target service in the network, that is, when the resource layer evaluation result is smaller than the service layer evaluation result, it indicates that the risk of the resource layer (specifically, the resource capability) to the target service is greater, and the server may determine the resource layer evaluation result as the target result. When the service layer evaluation result is smaller than the resource layer evaluation result, it indicates that the service layer (specifically, the transmission capability) has a higher risk for the target service, and the server may determine the service layer evaluation result as the target result.
In the method for determining service performance provided by the embodiment of the present invention, a server may obtain performance indexes of a plurality of effective nodes corresponding to a target service and a network performance parameter of the target service; and the server respectively determines a resource layer evaluation result corresponding to the target service and a service layer evaluation result corresponding to the target service according to the performance indexes of the effective nodes and the network performance parameters, and determines the minimum value of the resource layer evaluation result and the service layer evaluation result as a target result for representing the service performance of the target service. In the embodiment of the present invention, the resource layer evaluation result may represent the resource capability of the target service in the network (specifically, the resource state of the target service in the plurality of effective nodes), and the service layer evaluation result is used to represent the transmission capability of the target service in the network (specifically, the communication state of the target service in the network).
With reference to fig. 3, as shown in fig. 6, in an implementation manner of the embodiment of the present invention, the S103 may specifically include S1031 to S1032.
And S1031, the server determines a target numerical range corresponding to the minimum value.
It should be understood that a plurality of value ranges may be stored in the server, and when the server determines the minimum value, the target value range may be determined based on the minimum value, which is a value included in the target value range.
S1032, the server determines the evaluation level corresponding to the target numerical value range in the preset corresponding relation as a target result.
The preset corresponding relation comprises a relation between a numerical range and an evaluation grade.
It is understood that the preset correspondence includes a relationship between a plurality of numerical value ranges and evaluation levels respectively corresponding to the plurality of numerical value ranges. After determining the target value range, the server may determine an evaluation level corresponding to the target value range from a plurality of evaluation levels based on the target value range.
Illustratively, the following table 1 is an example of the preset correspondence, and as shown in table 1, the preset correspondence includes 5 value ranges and evaluation levels corresponding to the 5 value ranges respectively.
TABLE 1
| Numerical range | Rating of evaluation |
| [0,0.2) | Grade five |
| [0.2,0.4) | Grade four |
| [0.4,0.6) | Grade three |
| [0.6,0.8) | Grade two |
| [0.8,1) | Grade one |
For example, assuming that the minimum value of the resource layer evaluation result and the service layer evaluation result is 0.3, the server may determine that the target value range is [0.2,0.4 ], and determine that the evaluation level corresponding to the target value range is level four.
It should be noted that, in the embodiment of the present invention, it may be defined that a lower value of the evaluation level indicates better service performance, and for example, if the values of the evaluation levels are 5 (corresponding to level five), 4 (corresponding to level four), 3 (corresponding to level three), 2 (corresponding to level two), and 1 (corresponding to level one), the values indicate better service performance (i.e., better target result).
In one implementation of the present invention, when the evaluation level corresponding to the target service is greater than a certain level threshold (for example, level three), a relevant optimization policy may be implemented for the target service or the network.
In the embodiment of the present invention, the server and the like may be divided into functional modules according to the above method example, for example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. It should be noted that, the division of the modules in the embodiment of the present invention is schematic, and is only one logic function division, and another division manner may be available in actual implementation.
In the case of dividing each functional module according to each function, fig. 7 shows a schematic diagram of a possible structure of the service performance determining apparatus in the foregoing embodiment, and as shown in fig. 7, the service performance determining apparatus 70 may include: an acquisition module 701 and a determination module 702.
An obtaining module 701, configured to obtain performance indexes of multiple effective nodes corresponding to a target service and a network performance parameter of the target service, where a performance index of an effective node includes at least one of computing capability, storage capability, number of route connections, and node stability, and the network performance parameter includes at least one of service stability, service connection capability, throughput, and latency.
A determining module 702, configured to determine, according to the performance indexes of the multiple effective nodes and the network performance parameter of the target service, a resource layer evaluation result corresponding to the target service and a service layer evaluation result corresponding to the target service, where the resource layer evaluation result is used to represent a resource capability of the target service in the network, and the service layer evaluation result is used to represent a transmission capability of the target service in the network.
The determining module 702 is further configured to determine a minimum value of the resource layer evaluation result and the service layer evaluation result as a target result, where the target result is used to represent the service performance of the target service.
Optionally, the determining module 702 is further configured to determine a network area corresponding to each of the plurality of valid nodes, where the network area includes an access network area, a backbone network area, and a cloud data center network area.
The determining module 702 is specifically configured to determine, according to the performance index of the effective node included in the access network area, the performance index of the effective node included in the backbone network area, and the performance index of the effective node included in the cloud data center network area, an evaluation result corresponding to the access network area, an evaluation result corresponding to the backbone network area, and an evaluation result corresponding to the cloud data center network area, respectively.
The determining module 702 is further configured to determine an average value of the evaluation result corresponding to the access network area, the evaluation result corresponding to the backbone network area, and the evaluation result corresponding to the cloud data center network area as the resource layer evaluation result.
Optionally, the determining module 702 is specifically configured to determine a service type corresponding to the target service, where the service type includes a macro connection service, a large flow service, and a low latency service.
The determining module 702 is further configured to determine, according to the service type corresponding to the target service, a weight ranking result corresponding to the network performance parameter, where the weight ranking result is used to represent a sequence of the weight coefficients of each parameter included in the network performance parameter from large to small.
The determining module 702 is further specifically configured to assign a weight coefficient to each parameter based on the weight sorting result, so as to obtain a respective weight coefficient of each parameter.
The determining module 702 is further configured to determine the service layer evaluation result based on each of the parameters and the respective weight coefficient of each of the parameters.
Optionally, the determining module 702 is further specifically configured to determine that an evaluation result of the ith valid node included in the access network area satisfies the following formula:
wherein, g i Represents the evaluation result of the i-th valid node, w i Represents the computing power of the ith valid node, w max Represents the maximum value of the computing power in the n active nodes, c i Indicating the storage capacity of the i-th valid node, c max Represents the maximum value of the storage capacity in the n valid nodes, r i Indicates the number of routing connections of the i-th valid node, r max Representing the maximum number of routing connections, p, in the n active nodes i Represents the node stability, p, of the ith valid node max Represents the maximum value of node stability in the n effective nodes, a 1 A weight coefficient representing the computing power, a 2 A weight coefficient indicating the storage capacity, a 3 A weight coefficient representing the number of the route connections, a 4 Weight coefficient representing the stability of the node, a 1 +a 2 +a 3 +a 4 ＝1。
The determining module 702 is further specifically configured to determine an average value of the evaluation results of the n valid nodes as the evaluation result corresponding to the access network area.
Optionally, the determining module 702 is specifically further configured to determine that the service layer evaluation result satisfies the following formula:
wherein V represents the business layer evaluation result, V a Represents the service stability, v, of the target service b Representing the service connection capability of the target service, v c Represents the throughput, v, of the target service d Representing the time delay, k, of the target service 1 Weight coefficient, k, representing the stability of the traffic 2 Weight coefficient, k, representing the capacity of the service connection 3 A weight coefficient, k, representing the throughput 4 A weight coefficient, k, representing the time delay 1 、k 2 、k 3 And k 4 Are both greater than 0.
Optionally, the determining module 702 is specifically configured to determine a target value range corresponding to the minimum value.
The determining module 702 is further configured to determine, as the target result, an evaluation level corresponding to the target numerical range in a preset corresponding relationship, where the preset corresponding relationship includes a relationship between the numerical range and the evaluation level.
In the case of an integrated unit, fig. 8 shows a possible structural diagram of the service performance determining apparatus involved in the above embodiment. As shown in fig. 8, the service performance determining device 80 may include: a processing module 801 and a communication module 802. The processing module 801 may be used to control and manage the actions of the service performance determination device 80. The communication module 802 may be used to support the communication of the service performance determination apparatus 80 with other entities. Optionally, as shown in fig. 8, the service performance determining apparatus 80 may further include a storage module 803 for storing program codes and data of the service performance determining apparatus 80.
The processing module 801 may be a processor or a controller (e.g., the processor 601 shown in fig. 2). The communication module 802 may be a transceiver, a transceiver circuit, or a communication interface, etc. (e.g., may be the network interface 603 described above in fig. 2). The storage module 803 may be a memory (e.g., may be the memory 602 shown in fig. 2 and described above).
When the processing module 801 is a processor, the communication module 802 is a transceiver, and the storage module 803 is a memory, the processor, the transceiver, and the memory may be connected via a bus. The bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc.
It should be understood that, in various embodiments of the present invention, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In the above embodiments, all or part of the implementation may be realized by software, hardware, firmware, or any combination thereof. When implemented using a software program, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions described in accordance with the embodiments of the invention are all or partially effected when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optics, digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or can comprise one or more data storage devices, such as a server, a data center, etc., that can be integrated with the medium. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid State Disk (SSD)), among others.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think of the changes or substitutions within the technical scope of the present invention, and shall cover the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (8)
1. A method for determining service performance is characterized by comprising the following steps:
acquiring performance indexes of a plurality of effective nodes corresponding to a target service and network performance parameters of the target service, wherein the performance index of one effective node comprises at least one of computing capacity, storage capacity, routing connection number and node stability, and the network performance parameters comprise at least one of service stability, service connection capacity, throughput and time delay;
determining network areas corresponding to the effective nodes respectively, wherein the network areas comprise an access network area, a backbone network area and a cloud data center network area, the access network area comprises n effective nodes, and n is more than or equal to 1;
respectively determining a resource layer evaluation result corresponding to the target service and a service layer evaluation result corresponding to the target service according to the performance indexes of the plurality of effective nodes and the network performance parameter of the target service, wherein the resource layer evaluation result is used for representing the resource capability of the target service in the network, and the service layer evaluation result is used for representing the transmission capability of the target service in the network;
determining a resource layer evaluation result corresponding to the target service according to the performance indexes of the effective nodes, wherein the resource layer evaluation result comprises the following steps:
according to the performance indexes of the effective nodes included in the access network area, the performance indexes of the effective nodes included in the backbone network area and the performance indexes of the effective nodes included in the cloud data center network area, respectively determining an evaluation result corresponding to the access network area, an evaluation result corresponding to the backbone network area and an evaluation result corresponding to the cloud data center network area;
determining an average value of the evaluation result corresponding to the access network area, the evaluation result corresponding to the backbone network area and the evaluation result corresponding to the cloud data center network area as the resource layer evaluation result;
determining an evaluation result corresponding to the access network area according to the performance index of the effective node included in the access network area, including:
determining that the evaluation result of the ith valid node included in the access network area satisfies the following formula:
wherein, g i Represents the evaluation result of the ith valid node, w i Representing the computing power of the ith active node, w max Representing the maximum value of the computing power in said n active nodes, c i Representing the storage capacity of the i-th active node, c max Represents a maximum value of storage capacity, r, in the n valid nodes i Indicating the number of routing connections, r, of the ith active node max Representing the maximum value, p, of the number of routing connections in said n active nodes i Representing the node stability, p, of the ith valid node max Represents the maximum value of node stability in the n valid nodes, a 1 A weight coefficient representing the computing power, a 2 A weight coefficient representing the storage capacity, a 3 A weight coefficient representing the number of said routing connections, a 4 A weight coefficient representing the stability of said node, a 1 +a 2 +a 3 +a 4 ＝1；
Determining the average value of the evaluation results of the n effective nodes as the evaluation result corresponding to the access network area;
and determining the minimum value of the resource layer evaluation result and the service layer evaluation result as a target result, wherein the target result is used for representing the service performance of the target service.
2. The method for determining service performance according to claim 1, wherein determining a service layer evaluation result corresponding to the target service according to the network performance parameter of the target service includes:
determining a service type corresponding to the target service, wherein the service type comprises a macro connection service, a large flow service and a low delay service;
determining a weight sorting result corresponding to the network performance parameter according to the service type corresponding to the target service, wherein the weight sorting result is used for representing the order of the weight coefficients of each parameter included in the network performance parameter from large to small;
distributing a weight coefficient to each parameter based on the weight sorting result to obtain the respective weight coefficient of each parameter;
and determining the service layer evaluation result based on each parameter and the respective weight coefficient of each parameter.
3. The method according to claim 2, wherein said determining the service layer evaluation result based on each of the parameters and the respective weighting factor of each of the parameters comprises:
determining that the service layer evaluation result satisfies the following formula:
wherein V represents the service layer evaluation result, V a Representing the service stability, v, of said target service b Representing the service connection capability of said target service, v c Representing the throughput, v, of the target service d Representing the time delay, k, of said target traffic 1 A weight coefficient, k, representing the stability of said traffic 2 A weight coefficient, k, representing the capacity of said traffic connection 3 A weight coefficient, k, representing the throughput 4 A weight coefficient, k, representing said time delay 1 、k 2 、k 3 And k 4 Are both greater than 0.
4. The method for determining service performance according to any one of claims 1 to 3, wherein the determining a minimum value of the resource layer evaluation result and the service layer evaluation result as a target result includes:
determining a target value range corresponding to the minimum value;
and determining the evaluation grade corresponding to the target numerical range in a preset corresponding relation as the target result, wherein the preset corresponding relation comprises the relation between the numerical range and the evaluation grade.
5. The device for determining the service performance is characterized by comprising an acquisition module and a determination module;
the acquiring module is configured to acquire performance indexes of a plurality of effective nodes corresponding to a target service and a network performance parameter of the target service, where a performance index of one effective node includes at least one of computing capacity, storage capacity, routing connection number and node stability, and the network performance parameter includes at least one of service stability, service connection capacity, throughput and time delay;
the determining module is used for determining network areas corresponding to the effective nodes respectively, wherein the network areas comprise an access network area, a backbone network area and a cloud data center network area, the access network area comprises n effective nodes, and n is more than or equal to 1;
the determining module is further configured to determine, according to the performance indexes of the plurality of valid nodes and the network performance parameter of the target service, a resource layer evaluation result corresponding to the target service and a service layer evaluation result corresponding to the target service, where the resource layer evaluation result is used to characterize the resource capability of the target service in the network, and the service layer evaluation result is used to characterize the transmission capability of the target service in the network;
the determining module is specifically configured to determine, according to the performance index of the effective node included in the access network area, the performance index of the effective node included in the backbone network area, and the performance index of the effective node included in the cloud data center network area, an evaluation result corresponding to the access network area, an evaluation result corresponding to the backbone network area, and an evaluation result corresponding to the cloud data center network area, respectively;
the determining module is specifically further configured to determine an average value of the evaluation result corresponding to the access network area, the evaluation result corresponding to the backbone network area, and the evaluation result corresponding to the cloud data center network area as the resource layer evaluation result;
the determining module is further specifically configured to determine that an evaluation result of an i-th valid node included in the access network area satisfies the following formula:
wherein, g i Represents the evaluation result of the ith valid node, w i Represents the computing power of the ith valid node, w max Representing the maximum value of the computing power in said n active nodes, c i Representing the storage capacity of the i-th active node, c max Represents a maximum value of storage capacity, r, in the n valid nodes i Indicating the number of routing connections, r, of the ith active node max Representing the maximum value, p, of the number of routing connections in said n active nodes i Representing the node stability, p, of the ith valid node max Represents the maximum value of node stability in the n valid nodes, a 1 A weight coefficient representing the computing power, a 2 A weight coefficient representing the storage capacity, a 3 A weight coefficient representing the number of said routing connections, a 4 Weight coefficient representing the stability of the node, a 1 +a 2 +a 3 +a 4 ＝1；
The determining module is specifically further configured to determine an average value of the evaluation results of the n effective nodes as an evaluation result corresponding to the access network area;
the determining module is further configured to determine a minimum value of the resource layer evaluation result and the service layer evaluation result as a target result, where the target result is used to characterize service performance of the target service.
6. The traffic performance determination apparatus according to claim 5,
the determining module is specifically configured to determine a service type corresponding to the target service, where the service type includes a macro connection service, a large flow service, and a low delay service;
the determining module is specifically further configured to determine a weight ranking result corresponding to the network performance parameter according to a service type corresponding to the target service, where the weight ranking result is used to represent a sequence of weight coefficients of each parameter included in the network performance parameter from large to small;
the determining module is specifically configured to assign a weight coefficient to each parameter based on the weight sorting result to obtain a respective weight coefficient of each parameter;
the determining module is further specifically configured to determine the service layer evaluation result based on each of the parameters and the respective weight coefficient of each of the parameters.
7. The traffic performance determination apparatus according to claim 6,
the determining module is specifically further configured to determine that the service layer evaluation result satisfies the following formula:
wherein V represents the business layer evaluation result, V a Representing the service stability, v, of said target service b Representing the service connection capability of said target service, v c Represents the throughput of the target service, v d Representing the time delay, k, of said target traffic 1 A weight coefficient, k, representing the stability of said traffic 2 A weight coefficient, k, representing the capacity of said traffic connection 3 A weight coefficient, k, representing the throughput 4 A weight coefficient, k, representing said time delay 1 、k 2 、k 3 And k 4 Are both greater than 0.
8. The traffic performance determination apparatus according to any one of claims 5-7,
the determining module is specifically configured to determine a target numerical range corresponding to the minimum value;
the determining module is specifically further configured to determine, as the target result, an evaluation level corresponding to the target numerical range in a preset correspondence, where the preset correspondence includes a relationship between the numerical range and the evaluation level.
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