CN108768710B - Dynamic weight evaluation method, model and device for optical transmission network health - Google Patents
Dynamic weight evaluation method, model and device for optical transmission network health Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
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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
- H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
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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
- H04L41/147—Network analysis or design for predicting network behaviour
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04J—MULTIPLEX COMMUNICATION
- H04J3/00—Time-division multiplex systems
- H04J3/16—Time-division multiplex systems in which the time allocation to individual channels within a transmission cycle is variable, e.g. to accommodate varying complexity of signals, to vary number of channels transmitted
- H04J3/1605—Fixed allocated frame structures
- H04J3/1611—Synchronous digital hierarchy [SDH] or SONET
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04J—MULTIPLEX COMMUNICATION
- H04J3/00—Time-division multiplex systems
- H04J3/16—Time-division multiplex systems in which the time allocation to individual channels within a transmission cycle is variable, e.g. to accommodate varying complexity of signals, to vary number of channels transmitted
- H04J3/1605—Fixed allocated frame structures
- H04J3/1652—Optical Transport Network [OTN]
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Abstract
The invention discloses a dynamic weight evaluation method, a model and a device for the health of an optical transmission network, wherein the method comprises the following steps: receiving the acquired equipment state data, and respectively analyzing equipment health, business health and network health based on the equipment state data to obtain corresponding health degree scores; calculating the KPI of the single network element by adopting a deduction system according to the health degree scores corresponding to the equipment, the services and the network respectively, and comprehensively calculating the health degree score of the single network element according to a preset fixed weight; calculating KPI scores of equipment health, business health and network health respectively by adopting a proportion system and a dynamic weight in sequence, and comprehensively obtaining a health degree score of the whole network according to a preset fixed weight; and comprehensively evaluating the health degree of the optical transmission network through the health degree scores of the single network element and the whole network.
Description
Technical Field
The invention belongs to the technical field of network health assessment, and relates to a dynamic weight assessment method, a model and a device for optical transmission network health, in particular to a dynamic weight assessment method, a model and a device for optical transmission network health based on states.
Background
The SDH optical transmission communication network carries extremely important production services such as relay protection and the like, and puts higher demands on the stability of the communication network, so that an operation and maintenance part needs to be able to accurately grasp the operation health state of the network in real time. However, the stability of the network is affected by many factors, such as resource occupation, protection state, life cycle, spare part capability, on-network time, bad board rate, product scalability, disaster recovery backup, service restoration satisfaction, load capability, vendor fault handling SLA satisfaction, flow control capability, single point failure resistance, machine room environment, protection configuration, etc., which are key factors for accurately evaluating the health of the network, how to accurately evaluate the health of the network, and how to divide the weight thereof is a difficult problem in the industry.
At present, network health assessment in the industry is based on digital communication networks, and the traditional network health monitoring mode mainly comprises three aspects of alarm monitoring, performance monitoring and user complaint. The traditional network health monitoring mode has the following problems: firstly, monitoring is not comprehensive, and major potential risks such as software bugs, hardware hidden faults, product EOX states, evolution capabilities and the like are often not brought into monitoring. Secondly, the risk probability cannot be early warned in advance due to untimely monitoring, and only the risk probability can be processed through alarming afterwards. Therefore, the method for evaluating the network health degree through the alarm/performance of the device/network manager is static evaluation, cannot realize real-time dynamic evaluation, is not timely and comprehensive, and needs to establish a new health evaluation system for the optical transmission network, focus on the states of software and hardware, the overall reliability and the evolution capability of the network, discover potential risks, support sustainable business operation, and evaluate the stability of the optical transmission network from multiple dimensions.
In summary, an effective solution is not yet available for the problem of how to dynamically evaluate the health of the optical transmission network in real time in the prior art.
Disclosure of Invention
Aiming at the defects in the prior art and solving the problem of how to dynamically evaluate the health of the optical transmission network in real time in the prior art, the invention provides a dynamic weight evaluation method, a dynamic weight evaluation model and a dynamic weight evaluation device for the health of the optical transmission network based on states, wherein the dynamic weight evaluation method, the dynamic weight evaluation model and the dynamic weight evaluation device are used for establishing a health degree evaluation model of an SDH (synchronous digital hierarchy) network and dynamically defining the position of a network element in the optical transmission network based on a carried service, so that the weight is dynamically distributed to the network element, and the health degree of the optical transmission network is comprehensively evaluated in real time from multiple layers of equipment/service/network.
The first purpose of the invention is to provide a dynamic weight evaluation method for state-based optical transmission network health.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for dynamic weight assessment of state-based optical transport network health, the method comprising:
receiving the acquired equipment state data, and respectively analyzing equipment health, business health and network health based on the equipment state data to obtain corresponding health degree scores;
calculating the KPI of the single network element by adopting a deduction system according to the health degree scores corresponding to the equipment, the services and the network respectively, and comprehensively calculating the health degree score of the single network element according to a preset fixed weight;
calculating KPI scores of equipment health, business health and network health respectively by adopting a proportion system and a dynamic weight in sequence, and comprehensively obtaining a health degree score of the whole network according to a preset fixed weight;
and comprehensively evaluating the health degree of the optical transmission network through the health degree scores of the single network element and the whole network.
As a further preferred solution, in the present method, the health of the equipment is evaluated:
analyzing hidden dangers of software and hardware of the equipment to obtain health degree scores of all detection items of equipment health;
calculating each single-network element KPI score corresponding to the equipment by adopting a deduction system according to the health degree score of each detection item of the equipment health;
dynamically carrying out weight distribution on the network elements according to the current situation of the equipment service to obtain the dynamic weight for calculating the health KPI score of the equipment; and calculating the KPI score of the health of the equipment by adopting the proportion system and the dynamic weight in turn.
As a further preferred scheme, in the method, the analysis of the hidden dangers of the software and the hardware of the equipment comprises hardware hidden danger evaluation, software hidden danger evaluation and network hidden danger evaluation;
the hardware hidden danger assessment comprises but is not limited to assessment from the aspects of hardware failure prediction, single board protection cleaning, life cycle management and equipment power consumption statistics;
the software hidden trouble assessment comprises but is not limited to assessment from the aspects of software hidden trouble investigation and network element automatic backup;
the network hidden danger assessment includes but is not limited to assessment from the aspects of DCN active/standby gateway configuration and ECC subnet scale.
As a further preferred solution, in the method, the business health is evaluated:
analyzing the protection configuration and the state hidden danger of the service to obtain the health degree score of each detection item of the service health;
calculating each single-network element KPI score corresponding to the service by adopting a deduction system according to the health degree score of each detection item of the service health;
carrying out weight distribution on the network elements according to the dynamic protection of the number of the carried services to obtain the dynamic weight for calculating the service health KPI score; and calculating the KPI score of the business health by sequentially adopting the proportion system and the dynamic weight.
As a further preferred scheme, in the method, analyzing the protection configuration and the state hidden trouble of the service, including the protection configuration and the protection state of the service;
the protection configuration of the service includes but is not limited to evaluation from the aspects of protection protocol non-start, multiplexing segment east-west direction same slot position, extra service and unprotected routing;
the protection state of the service includes, but is not limited to, evaluating from the switching state and the pass-through state of the service.
As a further preferred solution, in the method, the network health is evaluated:
analyzing the redundancy of the network resources to obtain health degree scores of all detection items of the network health;
calculating each single-network element KPI score corresponding to the network by adopting a deduction system according to the health degree score of each detection item of the network health;
dynamically carrying out weight distribution on the network elements according to the port number of the maximum speed of the equipment to obtain the dynamic weight for calculating the KPI score of the network health; and calculating the KPI score of the network health by sequentially adopting the proportion system and the dynamic weight.
As a further preferred scheme, in the method, analyzing the redundancy of the network resource includes link resource evaluation, slot or port resource evaluation and cross resource evaluation;
the link resource evaluation takes a link as an object, counts the actual bandwidth utilization rate of the service on the link, and is used as an evaluation basis for link increase or speed increase by combining with the future service increase demand;
the slot position or port resource evaluation is used for counting the number of the slot positions or ports of the residual service of the network element of the current network by taking the network element as an object, and evaluating the capacity expansion capability of the network plate after the future service requirement is increased;
and the cross resource evaluation counts the quantity of the residual cross resources of the network elements of the current network by taking the network elements as objects, and evaluates the capability of newly opening the service in the future.
It is a second object of the present invention to provide a dynamic weight evaluation model for state-based optical transmission network health.
In order to achieve the purpose, the invention adopts the following technical scheme:
a dynamic weight evaluation model of optical transmission network health based on states is constructed based on a dynamic weight evaluation method of optical transmission network health based on states.
It is a third object of the present invention to provide a computer-readable storage medium.
In order to achieve the purpose, the invention adopts the following technical scheme:
a computer readable storage medium having stored therein a plurality of instructions adapted to be loaded by a processor of a terminal device and to perform the process of:
receiving the acquired equipment state data, and respectively analyzing equipment health, business health and network health based on the equipment state data to obtain corresponding health degree scores;
calculating the KPI of the single network element by adopting a deduction system according to the health degree scores corresponding to the equipment, the services and the network respectively, and comprehensively calculating the health degree score of the single network element according to a preset fixed weight;
calculating KPI scores of equipment health, business health and network health respectively by adopting a proportion system and a dynamic weight in sequence, and comprehensively obtaining a health degree score of the whole network according to a preset fixed weight;
and comprehensively evaluating the health degree of the optical transmission network through the health degree scores of the single network element and the whole network.
A fourth object of the present invention is to provide a terminal device.
In order to achieve the purpose, the invention adopts the following technical scheme:
a terminal device comprising a processor and a computer readable storage medium, the processor being configured to implement instructions; a computer readable storage medium for storing a plurality of instructions adapted to be loaded by a processor and to perform the process of:
receiving the acquired equipment state data, and respectively analyzing equipment health, business health and network health based on the equipment state data to obtain corresponding health degree scores;
calculating the KPI of the single network element by adopting a deduction system according to the health degree scores corresponding to the equipment, the services and the network respectively, and comprehensively calculating the health degree score of the single network element according to a preset fixed weight;
calculating KPI scores of equipment health, business health and network health respectively by adopting a proportion system and a dynamic weight in sequence, and comprehensively obtaining a health degree score of the whole network according to a preset fixed weight;
and comprehensively evaluating the health degree of the optical transmission network through the health degree scores of the single network element and the whole network.
The invention has the beneficial effects that:
1. the invention relates to a dynamic weight evaluation method, a model and a device for state-based optical transmission network health, which dynamically define the status of a network element in a network based on a loaded service, thereby dynamically allocating weight to the network element and evaluating the health degree of a network manager in real time.
2. The invention relates to a dynamic weight evaluation method, a model and a device for state-based optical transmission network health, which are used for establishing a health degree evaluation model of an SDH network, focusing the states of software and hardware, the overall reliability and the evolution capability of the network, finding potential risks, supporting sustainable business operation, and comprehensively evaluating the health degree from multiple levels of equipment, business and the network:
and (4) service security: and paying attention to the operation stability of the current service. Performing physical examination on the existing services and protections, evaluating whether the operation of the current service is safe and reliable, and guiding a client to improve the safety of the current network service;
equipment health: and evaluating the hardware failure rate of the whole network equipment, predicting the hidden failure of the hardware, and evaluating the influence of the hardware failure according to the network status of the equipment. And prompting the life cycle of the equipment, the version and the single board. The method mainly focuses on equipment hardware failure prejudgment and life cycle management;
network health: and (4) evaluating the whole network influence of the service resources (ports & low-order cross utilization rate and idle slot number) of the whole network equipment. The sustainable development capability assessment of the network is mainly concerned.
3. The dynamic weight evaluation method, the dynamic weight evaluation model and the dynamic weight evaluation device for the state-based optical transmission network health can be used for evaluating the health degree of a network by an SDH network operation and maintenance department, so that early warning of risks is realized, the post-passive type of operation and maintenance is converted into a pre-active type, the operation and maintenance pressure is effectively reduced, and the operation and maintenance efficiency is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application.
FIG. 1 is a flow chart of a method for dynamic weight estimation of state based optical transport network health in accordance with the present invention;
FIG. 2 is an overall schematic view of embodiment 1 of the present invention;
FIG. 3 is a schematic view of the evaluation of health of the apparatus according to embodiment 1 of the present invention;
fig. 4 is a schematic view of business health assessment in embodiment 1 of the present invention;
fig. 5 is a schematic diagram of network health assessment in embodiment 1 of the present invention.
The specific implementation mode is as follows:
the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
It is noted that the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods and systems according to various embodiments of the present disclosure. It should be noted that each block in the flowchart or block diagrams may represent a module, a segment, or a portion of code, which may comprise one or more executable instructions for implementing the logical function specified in the respective embodiment. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Without conflict, the embodiments and features of the embodiments of the present application may be combined with each other to further explain the present invention in conjunction with the figures and embodiments.
Example 1:
the purpose of this embodiment 1 is to provide a dynamic weight evaluation method for state-based optical transmission network health.
In order to achieve the purpose, the invention adopts the following technical scheme:
as shown in figure 1 of the drawings, in which,
a method for dynamic weight assessment of state-based optical transport network health, the method comprising:
step (1): receiving the acquired equipment state data, and respectively analyzing equipment health, business health and network health based on the equipment state data to obtain corresponding health degree scores;
step (2): calculating the KPI of the single network element by adopting a deduction system according to the health degree scores corresponding to the equipment, the services and the network respectively, and comprehensively calculating the health degree score of the single network element according to a preset fixed weight;
and (3): calculating KPI scores of equipment health, business health and network health respectively by adopting a proportion system and a dynamic weight in sequence, and comprehensively obtaining a health degree score of the whole network according to a preset fixed weight;
and (4): and comprehensively evaluating the health degree of the optical transmission network through the health degree scores of the single network element and the whole network.
The method regularly collects the state data of the equipment from the network management and the equipment, and carries out the health degree evaluation by deeply detecting the equipment state instead of only carrying out the health degree evaluation by alarming/performance.
Fig. 2 is a schematic diagram of an overall scheme of dynamic weight evaluation of optical transmission network health. Checking from the device/service/network dimension respectively based on the state of the device to obtain check item scores, namely health degree scores, and giving scores of a single network element and the whole network respectively by adopting a weight algorithm combining dynamic and fixed weights, wherein the whole network score (the score of the whole network) is obtained by integrating KPIs (key performance indicators) of service health/equipment health/network health through a ratio system and a method combining dynamic and fixed weights; the network element score is obtained by combining a deduction system and a fixed weight method.
As shown in fig. 3, the dynamic weight evaluation of the health of the optical transmission network evaluates the health of the device:
step (a): analyzing hidden dangers of software and hardware of the equipment to obtain health degree scores of all detection items of equipment health;
step (b): calculating each single-network element KPI score corresponding to the equipment by adopting a deduction system according to the health degree score of each detection item of the equipment health;
step (c): dynamically carrying out weight distribution on the network elements according to the current situation of the equipment service to obtain the dynamic weight for calculating the health KPI score of the equipment; and calculating the KPI score of the health of the equipment by adopting the proportion system and the dynamic weight in turn.
In the embodiment, the analysis of the hidden dangers of the software and the hardware of the equipment comprises hardware hidden danger evaluation, software hidden danger evaluation and network hidden danger evaluation;
the hardware hidden danger assessment comprises but is not limited to assessment from the aspects of hardware failure prediction, single board protection cleaning, life cycle management and equipment power consumption statistics;
the software hidden trouble assessment comprises but is not limited to assessment from the aspects of software hidden trouble investigation and network element automatic backup;
the network hidden danger assessment includes but is not limited to assessment from the aspects of DCN active/standby gateway configuration and ECC subnet scale.
In this embodiment, dynamic weight allocation is performed according to the traffic carried by the network element. The larger the bearer service capability, the higher the weight. The KPI score for equipment health is:
device health score
Wherein:
HDi: 100-deduction event, WDi: number of services carried by the device/number of services in the whole network
The number of services borne by the network element is as follows: SUM (port class end STM-N equivalent VC4 quantity N X port quantity)
In this embodiment, the health of the network device is comprehensively evaluated by detecting the software and hardware states of the device and based on a dynamic weight distribution method, where the weight is dynamically distributed based on the equivalent traffic of the device. KPI scoring is based on the severity of the event and takes into account marginal effects. Specific detection items for evaluating the health of the equipment in the dynamic weight evaluation of the health of the optical transmission network and a corresponding method for calculating the health dimension score of the single-network-element equipment, dynamic weight distribution and a method for calculating the comprehensive score of the health of the whole network equipment are shown in table 1.
TABLE 1
As shown in fig. 4, the service health is evaluated in the dynamic weight evaluation of the optical transmission network health:
step (a): analyzing the protection configuration and the state hidden danger of the service to obtain the health degree score of each detection item of the service health;
step (b): calculating each single-network element KPI score corresponding to the service by adopting a deduction system according to the health degree score of each detection item of the service health;
step (c): carrying out weight distribution on the network elements according to the dynamic protection of the number of the carried services to obtain the dynamic weight for calculating the service health KPI score; and calculating the KPI score of the business health by sequentially adopting the proportion system and the dynamic weight.
In this embodiment, analyzing the protection configuration and the state hidden trouble of the service includes the protection configuration and the protection state of the service;
the protection configuration of the service includes but is not limited to evaluation from the aspects of protection protocol non-start, multiplexing segment east-west direction same slot position, extra service and unprotected routing;
the protection state of the service includes, but is not limited to, evaluating from the switching state and the pass-through state of the service.
In this embodiment, dynamic weight assignment is performed according to the number of services of the protection bearer. The more services the protection scheme protects, the higher the weight.
The KPI of business health is divided into:
business health score
Wherein:
HSi: 100-deduction event, WSi: the number of services carried by the protection group/the number of services in the whole network
Number of services carried by protection group: SUM (number of traffic of the protection group. traffic bandwidth)
In this embodiment, the health of the service is evaluated by detecting the service protection state of the device and based on a dynamic weight allocation method, where the weight is dynamically allocated based on the number of services carried on the protection. And deducting the corresponding check items by analyzing the configuration and the state of the protection. Specific detection items for evaluating business health in the dynamic weight evaluation of the optical transmission network health and a corresponding single-network element business health dimension score calculation method, dynamic weight distribution and a whole-network business health comprehensive score calculation method are shown in table 2.
TABLE 2
As shown in fig. 5, in the dynamic weight evaluation of the optical transmission network health, the network health is evaluated:
step (a): analyzing the redundancy of the network resources to obtain health degree scores of all detection items of the network health;
step (b): calculating each single-network element KPI score corresponding to the network by adopting a deduction system according to the health degree score of each detection item of the network health;
step (c): dynamically carrying out weight distribution on the network elements according to the port number of the maximum speed of the equipment to obtain the dynamic weight for calculating the KPI score of the network health; and calculating the KPI score of the network health by sequentially adopting the proportion system and the dynamic weight.
In this embodiment, analyzing the redundancy of the network resources includes link resource evaluation, slot or port resource evaluation, and cross resource evaluation;
the link resource evaluation takes a link as an object, counts the actual bandwidth utilization rate of the service on the link, and is used as an evaluation basis for link increase or speed increase by combining with the future service increase demand;
the slot position or port resource evaluation is used for counting the number of the slot positions or ports of the residual service of the network element of the current network by taking the network element as an object, and evaluating the capacity expansion capability of the network plate after the future service requirement is increased;
and the cross resource evaluation counts the quantity of the residual cross resources of the network elements of the current network by taking the network elements as objects, and evaluates the capability of newly opening the service in the future.
In this embodiment, dynamic weight assignment is performed according to the status of the network element in the network (based on the number evaluation of the maximum rate ports). The higher the port rate, the larger the number, which indicates the higher the network element status and the larger the weight.
Network health score
Wherein:
HNi: 100-deduction event, WNi: the highest-rate interface/the highest-rate interface of the whole network of the network element
The network scalability is evaluated by detecting the remaining resources of the network and based on a dynamic weighting algorithm, where the weighting is dynamically assigned based on the status of the network (number of ports at maximum rate). And comprehensively evaluating the link, the slot, the port and the cross resource to give corresponding scores. Specific detection items for evaluating business health in the dynamic weight evaluation of the optical transmission network health and a corresponding single-network element business health dimension score calculation method, dynamic weight distribution and a whole-network business health comprehensive score calculation method are shown in table 3.
TABLE 3
Example 2:
the purpose of this embodiment 2 is to provide a dynamic weight evaluation model for state-based optical transmission network health.
In order to achieve the purpose, the invention adopts the following technical scheme:
a dynamic weight evaluation model of state-based optical transmission network health is constructed based on the dynamic weight evaluation method of state-based optical transmission network health in embodiment 1.
In the present embodiments, a computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for performing various aspects of the present disclosure. The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device over a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present disclosure may be assembly instructions, Instruction Set Architecture (ISA) instructions, machine related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry can execute computer-readable program instructions to implement aspects of the present disclosure by utilizing state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
It should be noted that although several modules or sub-modules of the device are mentioned in the above detailed description, such division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the modules described above may be embodied in one module in accordance with embodiments of the present disclosure. Conversely, the features and functions of one module described above may be further divided into embodiments by a plurality of modules.
The invention has the beneficial effects that:
1. the invention relates to a dynamic weight evaluation method, a model and a device for state-based optical transmission network health, which dynamically define the status of a network element in a network based on a loaded service, thereby dynamically allocating weight to the network element and evaluating the health degree of a network manager in real time.
2. The invention relates to a dynamic weight evaluation method, a model and a device for state-based optical transmission network health, which are used for establishing a health degree evaluation model of an SDH network, focusing the states of software and hardware, the overall reliability and the evolution capability of the network, finding potential risks, supporting sustainable business operation, and comprehensively evaluating the health degree from multiple levels of equipment, business and the network:
and (4) service security: and paying attention to the operation stability of the current service. Performing physical examination on the existing services and protections, evaluating whether the operation of the current service is safe and reliable, and guiding a client to improve the safety of the current network service;
equipment health: and evaluating the hardware failure rate of the whole network equipment, predicting the hidden failure of the hardware, and evaluating the influence of the hardware failure according to the network status of the equipment. And prompting the life cycle of the equipment, the version and the single board. The method mainly focuses on equipment hardware failure prejudgment and life cycle management;
network health: and (4) evaluating the whole network influence of the service resources (ports & low-order cross utilization rate and idle slot number) of the whole network equipment. The sustainable development capability assessment of the network is mainly concerned.
3. The dynamic weight evaluation method, the dynamic weight evaluation model and the dynamic weight evaluation device for the state-based optical transmission network health can be used for evaluating the health degree of a network by an SDH network operation and maintenance department, so that early warning of risks is realized, the post-passive type of operation and maintenance is converted into a pre-active type, the operation and maintenance pressure is effectively reduced, and the operation and maintenance efficiency is improved.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. A dynamic weight evaluation method for state-based optical transmission network health is characterized by comprising the following steps:
receiving the acquired equipment state data, and respectively analyzing equipment health, business health and network health based on the equipment state data to obtain corresponding health degree scores;
calculating the KPI of the single network element by adopting a deduction system according to the health degree scores corresponding to the equipment, the services and the network respectively, and comprehensively calculating the health degree score of the single network element according to a preset fixed weight;
calculating KPI scores of equipment health, business health and network health respectively by adopting a proportion system and a dynamic weight in sequence, and comprehensively obtaining a health degree score of the whole network according to a preset fixed weight;
comprehensively evaluating the health degree of the optical transmission network through the health degree scores of the single network element and the whole network;
evaluation of device health:
analyzing hidden dangers of software and hardware of the equipment to obtain health degree scores of all detection items of equipment health;
calculating each single-network element KPI score corresponding to the equipment by adopting a deduction system according to the health degree score of each detection item of the equipment health;
dynamically carrying out weight distribution on the network elements according to the current situation of the equipment service to obtain the dynamic weight for calculating the health KPI score of the equipment; calculating KPI scores of equipment health by adopting a proportion system and a dynamic weight in sequence;
the dynamic weight is dynamically distributed according to the equivalent traffic of the equipment, and KPI deduction is carried out based on the severity of an event and considering marginal effect.
2. The method of claim 1, wherein analyzing equipment hardware and software hazards comprises hardware hazard assessment, software hazard assessment, and network hazard assessment;
the hardware hidden danger assessment comprises the assessment from the aspects of hardware failure prediction, single board protection cleaning, life cycle management and equipment power consumption statistics;
the software hidden danger assessment comprises assessment from the aspects of software hidden danger troubleshooting and automatic network element backup;
and the network hidden danger evaluation comprises evaluation in the aspects of DCN main/standby gateway configuration and ECC subnet scale.
3. A method according to claim 1, characterized in that in the method the business health is evaluated:
analyzing the protection configuration and the state hidden danger of the service to obtain the health degree score of each detection item of the service health;
calculating each single-network element KPI score corresponding to the service by adopting a deduction system according to the health degree score of each detection item of the service health;
carrying out weight distribution on the network elements according to the dynamic protection of the number of the carried services to obtain the dynamic weight for calculating the service health KPI score; and calculating the KPI score of the business health by sequentially adopting the proportion system and the dynamic weight.
4. The method of claim 3, wherein in the method, analyzing the protection configuration and the state risk of the service comprises the protection configuration of the service and the protection state of the service;
the service protection configuration comprises evaluation from the aspects of protection protocol non-start, multiplexing segment east-west direction same slot position, extra service and unprotected routing;
the protection state of the service comprises evaluation from the aspects of the switching state and the through state of the service.
5. A method according to claim 1, characterized in that in the method the evaluation of the network health is performed:
analyzing the redundancy of the network resources to obtain health degree scores of all detection items of the network health;
calculating each single-network element KPI score corresponding to the network by adopting a deduction system according to the health degree score of each detection item of the network health;
dynamically carrying out weight distribution on the network elements according to the port number of the maximum speed of the equipment to obtain the dynamic weight for calculating the KPI score of the network health; and calculating the KPI score of the network health by sequentially adopting the proportion system and the dynamic weight.
6. The method of claim 5, wherein analyzing the redundancy of network resources in the method comprises link resource evaluation, slot or port resource evaluation, and cross resource evaluation;
the link resource evaluation takes a link as an object, counts the actual bandwidth utilization rate of the service on the link, and is used as an evaluation basis for link increase or speed increase by combining with the future service increase demand;
the slot position or port resource evaluation is used for counting the number of the slot positions or ports of the residual service of the network element of the current network by taking the network element as an object, and evaluating the capacity expansion capability of the network plate after the future service requirement is increased;
and the cross resource evaluation counts the quantity of the residual cross resources of the network elements of the current network by taking the network elements as objects, and evaluates the capability of newly opening the service in the future.
7. A computer-readable storage medium having stored thereon a plurality of instructions, characterized in that said instructions are adapted to be loaded by a processor of a terminal device and to perform the method of any of claims 1-6.
8. A terminal device comprising a processor and a computer readable storage medium, the processor being configured to execute instructions; a computer-readable storage medium for storing a plurality of instructions for performing the method of any of claims 1-6.
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