CN110515805A - Performance monitoring method, device, communication equipment and computer storage medium - Google Patents

Performance monitoring method, device, communication equipment and computer storage medium Download PDF

Info

Publication number
CN110515805A
CN110515805A CN201910817485.6A CN201910817485A CN110515805A CN 110515805 A CN110515805 A CN 110515805A CN 201910817485 A CN201910817485 A CN 201910817485A CN 110515805 A CN110515805 A CN 110515805A
Authority
CN
China
Prior art keywords
performance
data
target capabilities
index value
capabilities data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201910817485.6A
Other languages
Chinese (zh)
Inventor
黄诗茹
帅福利
崔磊
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Comba Network Systems Co Ltd
Original Assignee
Comba Telecom Technology Guangzhou Ltd
Comba Telecom Systems China Ltd
Comba Telecom Systems Guangzhou Co Ltd
Tianjin Comba Telecom Systems Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Comba Telecom Technology Guangzhou Ltd, Comba Telecom Systems China Ltd, Comba Telecom Systems Guangzhou Co Ltd, Tianjin Comba Telecom Systems Co Ltd filed Critical Comba Telecom Technology Guangzhou Ltd
Priority to CN201910817485.6A priority Critical patent/CN110515805A/en
Publication of CN110515805A publication Critical patent/CN110515805A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/3003Monitoring arrangements specially adapted to the computing system or computing system component being monitored
    • G06F11/3006Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/3058Monitoring arrangements for monitoring environmental properties or parameters of the computing system or of the computing system component, e.g. monitoring of power, currents, temperature, humidity, position, vibrations

Abstract

The present invention relates to a kind of performance monitoring method, device, communication equipment and computer storage mediums.Preceding method includes: each target capabilities data obtained in transmission data;Respectively according to the type of each target capabilities data, each target capabilities data are put into each performance queue of corresponding types;KPI calculation processing is carried out to the target capabilities data in each performance queue respectively, obtains the corresponding performance index value of each target capabilities data;Each performance index value is respectively stored into each correspondence memory table;Each performance index value is used to indicate client and carries out performance displaying.It by carrying out independent collection to each target capabilities data for needing to monitor on near-end machine, remote termination, and carries out KPI calculation processing respectively by the way of queue, then each respective performances index value respectively obtained is saved in corresponding memory table.After client can read the performance index value in each memory table, corresponding performance displaying is carried out, has achieved the purpose that greatly improve performance monitoring efficiency.

Description

Performance monitoring method, device, communication equipment and computer storage medium
Technical field
The present invention relates to fields of communication technology, more particularly to a kind of performance monitoring method, device, communication equipment and calculating Machine storage medium.
Background technique
With the development of communication technology, in the multichannel data communication network based on microwave, a near-end machine would generally connect Multiple remote terminations are connect, by the performance data in monitoring link, the property to near-end machine, remote termination and microwave link etc. may be implemented It can monitor, so as to effectively know the performance state of communication network.In traditional communication network, near-end machine self performance number Can be very huge plus the performance data amount of each remote termination of access according to amount, and being continuously increased with access remote termination, proximal end The performance data handling capacity of machine can constantly increase, and can so make the time delay of the communication equipments such as near-end machine and remote termination increase, sternly Ghost image rings the software performance of equipment.
Traditional performance monitoring mode is to combine gateway or database, and the performance data according to each reported by network elements carries out Monitoring.However, during realization, that at least there is monitoring efficiencies is lower for the above-mentioned traditional performance monitoring mode of inventor's discovery Problem.
Summary of the invention
Based on this, it is necessary to which the problem of being directed to above-mentioned traditional performance monitoring mode, providing one kind can substantially mention It the performance monitoring method of high-performance monitoring efficiency, a kind of performance monitoring device, a kind of communication equipment and a kind of computer-readable deposits Storage media.
To achieve the goals above, the embodiment of the present invention the following technical schemes are provided:
On the one hand, the embodiment of the present invention provides a kind of performance monitoring method, comprising:
Obtain each target capabilities data in transmission data;
Respectively according to the type of each target capabilities data, each target capabilities data are put into each performance team of corresponding types Column;
KPI calculation processing is carried out to the target capabilities data in each performance queue respectively, obtains each target capabilities data pair The performance index value answered;
Each performance index value is respectively stored into each correspondence memory table;Each performance index value is used to indicate client progress Performance is shown.
The step of obtaining each target capabilities data in transmission data in one of the embodiments, comprising:
Each performance data collected as needed, passage capacity probe is read from transmission data corresponds to each performance data Each target capabilities data.
The step of obtaining each target capabilities data in transmission data in one of the embodiments, further includes:
Receive each target capabilities data that remote termination is come by microwave air interface transmission.
After the step of each performance index value is respectively stored into each correspondence memory table in one of the embodiments, also Include:
In the currently monitored end cycle, corresponding historical performance is generated according to each performance index value in each memory table File;Historical performance file is used to indicate client and carries out historical performance displaying.
In one of the embodiments, in the currently monitored end cycle, according to each performance indicator in each memory table After value generates the step of corresponding historical performance file, further includes:
Each performance index value in each memory table is emptied, and returns to each target capabilities for executing and obtaining in transmission data The step of data.
Before the step of obtaining each target capabilities data in transmission data in one of the embodiments, further includes:
It is respectively that each target capabilities data distribute corresponding memory in memory table according to the performance parameter file of pre-configuration Table simultaneously initializes;Performance parameter file includes that data name, data type, ID number and the KPI of each target capabilities data calculate letter Number.
The step of each performance index value is respectively stored into each correspondence memory table in one of the embodiments, comprising:
Respectively according to the corresponding ID number of each performance index value, each performance index value is respectively stored into each interior of corresponding ID number Deposit table.
Performance displaying is shown including table in one of the embodiments, and/or real-time curve chart is shown;
Historical performance displaying is shown including table and/or history graphs are shown.
On the other hand, a kind of performance monitoring device is provided, comprising:
Module is obtained, for obtaining each target capabilities data in transmission data;
Each target capabilities data are put into pair for respectively according to the type of each target capabilities data by queue processing module Answer each performance queue of type;
Capabilities processing module is obtained for carrying out KPI calculation processing to the target capabilities data in each performance queue respectively The corresponding performance index value of each target capabilities data;
Buffer process module, for each performance index value to be respectively stored into each correspondence memory table;Each performance index value It is used to indicate client and carries out performance displaying.
In another aspect, also providing a kind of communication equipment, including memory and processor, memory is stored with computer journey The step of sequence, processor realizes above-mentioned performance monitoring method when executing computer program.
In another aspect, also providing a kind of computer readable storage medium, it is stored thereon with computer program, computer program The step of above-mentioned performance monitoring method is realized when being executed by processor.
Above-mentioned performance monitoring method, device, communication equipment and computer storage medium, by near-end machine, remote termination Independent collection is carried out to each target capabilities data for needing to monitor, and carries out KPI calculation processing respectively by the way of queue, so Each respective performances index value respectively obtained is saved in corresponding memory table afterwards.Client can read each memory table In performance index value after, carry out corresponding performance displaying.In this way, carry out KPI calculation processing respectively by the way of queue, it can Data collection and process flow to be separated, the waiting time before reducing calculation processing, so that performance monitoring process be effectively reduced Middle performance data volume CPU usage excessively high when huge, improves calculating and the presentation rate of performance data, reduce equipment when Prolong, achievees the purpose that greatly improve performance monitoring efficiency.
Detailed description of the invention
Fig. 1 is a kind of application environment schematic diagram of performance monitoring method in one embodiment;
Fig. 2 is the first pass schematic diagram of performance monitoring method in one embodiment;
Fig. 3 is the second procedure schematic diagram of performance monitoring method in one embodiment;
Fig. 4 is the third flow diagram of performance monitoring method in one embodiment;
Fig. 5 is the 4th flow diagram of performance monitoring method in one embodiment;
Fig. 6 is the 5th flow diagram of performance monitoring method in one embodiment;
Fig. 7 is the 6th flow diagram of performance monitoring method in one embodiment;
Fig. 8 is the concrete application flow diagram of performance monitoring method in one embodiment;
Fig. 9 is the modular structure block diagram of performance monitoring device in one embodiment.
Specific embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the objects, technical solutions and advantages of the application are more clearly understood The application is further elaborated.It should be appreciated that specific embodiment described herein is only used to explain the application, not For limiting the application.
It should be noted that unless otherwise defined, all technical and scientific terms used herein and belong to this hair The normally understood meaning of bright those skilled in the art is identical.Term as used herein in the specification of the present invention It is intended merely to describe the purpose of specifically embodiment, it is not intended that in the limitation present invention.Term as used herein "and/or" Including any and all combinations of one or more related listed items.
Link schematic diagram between near-end machine and remote termination in a communication network as shown in Fig. 1.Wherein dotted line indicates Idle port communication link.The communication network can be common mobile communication network, be also possible to the multichannel data communication based on microwave Network.The performance of equipment (near-end machine and remote termination as the aforementioned) is monitored in a communication network, for communication network The quick sensing and O&M of network performance have an important significance, and different performance indicators can pass through corresponding dissimilarity Energy data are monitored.For purposes of illustration only, be illustrated by taking the multichannel data communication network based on microwave as an example below, then Fig. 1 In dotted line indicate MTL microwave transmission link.
For the lower problem of the monitoring efficiency in the presence of traditional performance monitoring mode, performance monitoring provided by the present application Method can be applied in application environment as shown in Figure 1.In communication equipment (near-end machine or remote termination as shown in figure 1), obtain Take each target capabilities data in transmission data;Respectively according to the type of each target capabilities data, each target capabilities data are put Enter each performance queue of corresponding types;KPI calculation processing is carried out to the target capabilities data in each performance queue respectively, is obtained each The corresponding performance index value of target capabilities data;Each performance index value is respectively stored into each correspondence memory table;Each performance refers to Scale value is used to indicate client and carries out performance displaying.In this way, data collection and process flow are separated, before reducing calculation processing Waiting time improves performance number so that CPU usage excessively high when performance data amount is huge during performance monitoring be effectively reduced According to calculating and presentation rate, reduce the time delay of equipment, achieve the purpose that greatly improve performance monitoring efficiency.
Referring to Fig. 2, in one embodiment, providing a kind of performance monitoring method, set with being applied to above-mentioned communication For standby, include the following steps S12 and S14:
S12 obtains each target capabilities data in transmission data.
It is appreciated that transmission data refer to the data transmitted in a communication network by communication equipment.Target capabilities data Refer to performance data corresponding to the performance indicator monitored needed for being determined in advance, the performance indicator of required monitoring can be according to whole In a communication system, come in transmit and exchange to the operational process of each link transferred out, the data of period from data The performance that equal needs are investigated is determined.The acquisition of each target capabilities data can be real-time continuous acquisition, be also possible to week What phase property obtained, it can also be and execute acquisition process after periodically receiving instruction and obtain, it specifically can be according to practical application Need flexible choice.
Specifically, communication equipment namely near-end machine or remote termination, can obtain each target from the transmission data of process Performance data, such as, but not limited to according to the target capabilities data name in preconfigured performance data table, from transmission data Target capabilities data needed for reading;Or according to preset Performance figure, target capabilities data are read from transmission data;Again Either directly receive the target for transmitting identified destination address (namely network address of near-end machine or remote termination) in data Performance data.The aforementioned implementation example that required each target capabilities data are obtained from transmission data is not whole examples, also There can be other implementations, as long as can be realized the acquisition of each target capabilities data.
Each target capabilities data are put into each performance of corresponding types respectively according to the type of each target capabilities data by S14 Queue.
It is appreciated that the type of data structure of different performance datas can be different, it therefore, can be previously according to institute The type of data structure of the corresponding each target capabilities data of each performance indicator that need to be monitored, configures different types of performance queue. Such as a kind of target capabilities data of type of data structure, correspond to a type of performance queue, in this way, difference can be passed through Thread handle the target capabilities data in each performance queue respectively, reduce after target capabilities data acquisition to calculation processing it Between waiting time, to reduce the loss on data transmission link.
Specifically, after obtaining each target capabilities data, it can, will according to the type of data structure of each target capabilities data Each target capabilities data are put into the performance queue of respective type, so that subsequent calculation processing and result store, The case where can also preventing target capabilities loss of data generation.
S16 carries out KPI calculation processing to the target capabilities data in each performance queue respectively, obtains each target capabilities number According to corresponding performance index value.
It is appreciated that KPI calculates namely refers to Key Performance Indicator (Key Performance Indicators, abbreviation KPI it) calculates, is performance data calculation processing means commonly used in the art, for monitoring quality, the evaluation of COMMUNICATION NETWORK PERFORMANCES Network quality and the quality etc. for assessing network service, preferably to promote service quality.During KPI is calculated, different performance numbers Will be different according to corresponding computational algorithm, wherein main computational algorithm has an addition subtraction multiplication and division arithmetic, data merge with And some other slightly more complex computational algorithm etc..
Performance index value refers to the new data value obtained after KPI calculation processing by target capabilities data, is used for table Levy corresponding network performance.Different types of target capabilities data can correspond to respectively after corresponding KPI calculation processing Different types of performance index value is obtained, different types of network performance is used to indicate.The type of target capabilities data can have Int data type, Boolean data type and Uint data type etc. can be specified according to practical application scene.
Specifically, after each target capabilities data are put into the performance queue of respective corresponding types, namely realize different mesh Mark performance data is obtained by different threads, so as to be independent of each other.Hereafter, for the target in different performance queue Performance data carries out KPI calculation processing, respectively to obtain performance index value corresponding to each target capabilities data.
Each performance index value is respectively stored into each correspondence memory table by S18;Each performance index value is used to indicate client Carry out performance displaying.
It is appreciated that different types of performance data can distribute corresponding memory table, such as the property of each type Energy data distribute one group of memory table, the performance index value of the performance data for corresponding storage the type.Each memory table can It is first distributed with starting to advance to act in performance monitoring, is also possible to monitor in performance data and temporarily be distributed therebetween, such as obtained It is temporarily distributed after each target capabilities data with before carrying out KPI calculation processing, it can also be by other methods of salary distribution come for inhomogeneity The performance data of type distributes corresponding memory table, as long as can ensure that the storage of each performance index value needs.Client Refer to the terminal or the application for being mounted to terminal that the performance indicator to required monitoring is visualized, such as base station The end CLI (command-line interface, order line circle of WEB terminal, the client of Network Management Equipment installation or other terminals Face).
Specifically, after obtaining the corresponding performance index value of each target capabilities data, it can save each performance index value To corresponding memory table.In this way, the performance index value in each memory table can be by the way that actively or passively mode be transmitted Visual performance displaying, such as near-end machine or remote termination are carried out to client, obtained each target capabilities data are corresponding Performance index value from correspondence memory table in real time or be periodically output in client, so that client passes through picture and text Or the forms such as dynamic menu carry out Visual Performance displaying.In another example client need to show network performance, near-end machine or When the equipment performance of person's remote termination, the performance index value in memory table can be read directly, will pass through picture and text or dynamic The forms such as picture carry out Visual Performance displaying.
It should be noted that above-mentioned processing step is for any near-end machine or remote termination, different is remote Acquisition, processing and the performance monitoring of performance data between terminal and near-end machine, can be mutually indepedent.In other words, each distal end Acquisition, processing and the performance monitoring of performance data between machine are asynchronous progress, for example, the performance data of different remote terminations Collect the rate for not interfering with the performance data collection of other remote terminations or near-end machine.
Above-mentioned performance monitoring method, by being carried out on near-end machine, remote termination to each target capabilities data for needing to monitor It is independent to collect, and carry out KPI calculation processing respectively by the way of queue, each respective performances index value that then will be respectively obtained It is saved in corresponding memory table.After client can read the performance index value in each memory table, corresponding property is carried out It can show.In this way, carrying out KPI calculation processing respectively by the way of queue, data collection and process flow can be separated, be subtracted It waiting time before few calculation processing, is accounted for so that CPU excessively high when performance data amount is huge during performance monitoring be effectively reduced With rate, calculating and the presentation rate of performance data are improved, the time delay of equipment is reduced, reaches the mesh for greatly improving performance monitoring efficiency 's.
Referring to Fig. 3, can also include following processing step before above-mentioned step S12 in one embodiment S10:
S10 is respectively that each target capabilities data distribution is corresponding in memory table according to the performance parameter file of pre-configuration Memory table simultaneously initializes;Performance parameter file includes data name, data type, ID number and the KPI meter of each target capabilities data Calculate function.
It is appreciated that in the present embodiment, near-end machine and remote termination can obtain respective each target capabilities data Before, corresponding initialization process is carried out according to preconfigured performance parameter file, to correspond to all types of required monitorings Performance data forms respective memory table, needs for the storage of subsequent data.Near-end machine and remote termination can connect When entering communication network and powering on, primary initialization process above-mentioned is carried out, it can also each performance monitoring in the process of running Before period starts, primary initialization process above-mentioned is carried out, the specific strategy that initializes can be set according to application.
Specifically, can be required according to the performance parameter file of pre-configuration before the acquisition for starting target capabilities data Each target capabilities data of monitoring are distributed corresponding memory table and are initialized: in memory table, according to performance parameter text Data name in part forms corresponding memory table, by the KPI of corresponding data name calculate function (such as above-mentioned arithmetic or its His algorithm), data type and performance show that pattern initializes, also as each memory table specifies corresponding KPI to calculate Function, data type and performance show pattern, and configure ID number as mark for each memory table.
Pass through above-mentioned initialization process, it can be ensured that the storage of the corresponding performance index value of each target capabilities data, nothing Data access need to be realized by database or Network Management Equipment, reduce performance data and the memory of database is lost.
Referring to Fig. 4, in one embodiment, about above-mentioned step S12, can specifically include following processing step S122:
S122, each performance data collected as needed, passage capacity probe is read from transmission data corresponds to each property Each target capabilities data of energy data.
It is appreciated that in above-mentioned initialization procedure, required collection, which performance data for performance monitoring It has been determined that in originally implementing, can be used when reading each performance data for corresponding to and needing to collect from transmission data Probe technique is collected.Wherein, on performance probe namely the data transmission link being arranged in inside near-end machine and remote termination Virtual-sensor, after determining each performance data for collecting of needs, passage capacity probe can be matched to pair from transmission data The target capabilities data answered simultaneously are read out.
S122 through the above steps, when performance probe is matched to any property for corresponding to and needing to collect from transmission data When real-time performance data (namely performance data transmitted in transmitting data) of energy data, it can by the real-time performance data It is read as target capabilities data.In this way, different performance data can be collected by different threads, so that each target The collection processing of performance data can also realize asynchronous collection processing, and data reading performance using redundancy is higher.
Referring to Fig. 5, specifically can also include following processing step about above-mentioned step S12 in one embodiment S124:
S124 receives each target capabilities data that remote termination is come by microwave air interface transmission.
It is appreciated that in the present embodiment, near-end machine can also be collected logical during carrying out target capabilities data collection Cross a certain remote termination of microwave communications link connection, the target capabilities data of segment distal machine or whole remote termination, so as to Performance monitoring is carried out on near-end machine, to can monitor the network performance of near-end machine itself in the corresponding client of near-end machine Outside, moreover it is possible to monitor the network performance of the remote termination of access.And remote termination is then responsible for respectively monitoring respective network performance, and nothing Near-end machine or the target capabilities data of other remote terminations need to be obtained.Each target capabilities data of the remote termination of near-end machine are transferred to, The partial target performance data that can be remote termination is also possible to the target complete performance data that remote termination real-time collecting arrives, tool Body can be determined according to the performance indicator of the remote termination of monitoring needed for near-end machine.
Specifically, when near-end machine collects each target capabilities data from transmission data, can also eat dishes without rice or wine to receive by microwave come From each target capabilities data of remote termination.Performance queue is carried out to all target capabilities data for being collected into again to join the team processing, with And after other subsequent various processes, each performance of the corresponding each performance index value of near-end machine and remote termination can be obtained Index value;In this way, outside the network performance that can monitor near-end machine itself in the corresponding client of near-end machine, moreover it is possible to monitor The network performance of the remote termination of access.And then performance queue can be carried out by each target capabilities data to itself on remote termination It joins the team after processing and other subsequent various processes, the corresponding each performance index value of remote termination can be obtained, for distal end The corresponding client of machine carries out performance displaying.
By above-mentioned processing step S124, in near-end machine and each remote termination when carrying out asynchronous performance data collection, Remote termination real-time collecting to each target capabilities data for itself progressive can monitor processing simultaneously, can also be eated dishes without rice or wine by microwave It is transferred on near-end machine.Near-end machine receives each target capabilities data that each remote termination is sent, and can be realized and is monitoring near-end machine certainly The network performance of body simultaneously, monitors the network performance of each remote termination, and performance data is based on microwave transmission, and loss is few.Near-end machine and The network performance monitoring real-time of remote termination is stronger.
In one embodiment, about above-mentioned step S18, it can specifically include following processing step:
Respectively according to the corresponding ID number of each performance index value, each performance index value is respectively stored into each interior of corresponding ID number Deposit table.
It is appreciated that during memory table initialization, the corresponding different memory tables of different types of performance data To distribute corresponding ID number as unique identification.Therefore, near-end machine and remote termination are carrying out KPI calculating to each target capabilities data After processing, obtained each performance index value can be stored directly according to the ID number of distribution into the memory table of corresponding ID number. The memory rate of each performance index value is high, without occupying the memory of database, moreover it is possible to the computing resource of CPU is saved, it can be more preferable Ground solves the problem of to cause to consume device memory when performance data amount is larger, reduces equipment delay.Wherein, equipment described herein Namely above-mentioned near-end machine or remote termination.
Referring to Fig. 6, can also include following processing step after above-mentioned step S18 in one embodiment S20:
S20 generates corresponding history according to each performance index value in each memory table in the currently monitored end cycle Performance file;Historical performance file is used to indicate client and carries out historical performance displaying.
It is appreciated that monitoring cycle refers to the setting period of near-end machine and remote termination when carrying out performance monitoring.Monitoring week Phase can be configured, example monitoring cycle by Network Management Equipment, the WEB terminal of local device or CLI mode according to monitoring needs Cycle time can be unified time span, be also possible to a variety of different time spans, for example, 15 minutes, 30 minutes and The monitoring cycle of 60 minutes equal three kinds of durations.The currently monitored period refers to ongoing monitoring cycle under current time.History Performance file is the performance file stored for a long time, such as be can store in Flash flash memory, can be used with Long-Term Access.It is aforementioned Each memory table belong to interim table, each performance index value will not be permanently stored.
After historical performance displaying refers to that client reads historical performance file, according to the historical performance file progressive of reading When can show, the variation of the currently monitored pervious historical performance state of period end time point can be shown, such as above-mentioned work as From historical performance or the historical performance of other monitoring cycles of the currently monitored period above-mentioned and history in preceding monitoring cycle. Different monitoring cycles can be continuously in time, be also possible to it is discontinuous, such as after having executed the currently monitored period, Start the performance monitoring of next monitoring cycle after waiting for a period of time again, or after having executed the currently monitored period, that is, stops Only performance monitoring can specifically be selected according to monitoring needs.
Specifically, when near-end machine and remote termination carry out performance monitoring respectively being executed according to the monitoring cycle of setting.In In the currently monitored period, near-end machine and remote termination each target capabilities data of real-time collecting from respective transmission data carry out team When column and KPI calculation processing, corresponding each performance index value can be obtained in real time, and keep in each corresponding memory table.Visitor Family end can read each performance index value from each corresponding memory table, for real-time exhibition respective proximal machine and remote termination Network performance.In the currently monitored end cycle, near-end machine and remote termination can store up the currently monitored cycle memory in each memory table All properties index value in lattice is read, and is generated corresponding historical performance file and stored for a long time, and realization disposably can be with Grab the over-all properties data of monitoring.
In this way, client, which in the currently monitored end cycle, can read historical performance file, carries out historical performance displaying, So as to show the performance condition of near-end machine and remote termination within the past period.Pass through above-mentioned near-end machine and remote termination Asynchronous performance monitoring, carries out data processing and data storage method above-mentioned, namely according to directory tree by the way of queue Optimal algorithm stores the performance index value of acquisition, efficiently solve performance data handling capacity it is larger when device memory disappear Huge problem is consumed, time delay is greatly reduced.Meanwhile real-time performance monitoring and show, and periodically historical performance monitoring, Can monitoring network performance much sooner unusual condition, improve alarm of the client in network performance exception and prompt Timeliness and accuracy are conducive to improve maintenance efficiency.
It please refers to shown in Fig. 7 and Fig. 8, can also include such as after above-mentioned step S20 in one embodiment Lower processing step S22:
S22 empties each performance index value in each memory table, and returns and execute above-mentioned step S12.
Specifically, in the present embodiment, after the currently monitored end cycle, it will the performance for entering next monitoring cycle is supervised It surveys, as shown in Figure 8.During near-end machine and remote termination carry out performance monitoring respectively, in the currently monitored end cycle and generate After corresponding historical performance file, each performance index value in each memory table can also be emptied so as to next monitoring cycle The storage of the corresponding each performance index value of each target capabilities data.It is appreciated that record items respectively in each memory table Energy index, each performance index value respectively correspond the memory table stored to where performance indexes;In the treatment process emptied In, the corresponding performance index value being currently stored in of each performance indicator need to only be emptied, where each performance indicator after emptying value Each memory table can be used to store the new each performance index value obtained in next monitoring cycle.
S22 through the above steps, can be after the currently monitored end cycle, automatically into the property of next monitoring cycle Energy monitoring processing, can be improved the reliability and real-time of the performance monitoring of near-end machine and remote termination.
In one embodiment, as shown in figure 8, performance displaying is shown including table and/or real-time curve chart is shown.History Performance displaying is shown including table and/or history graphs are shown.
It is appreciated that table shows and refers to and show each performance index value in table form, table is shown can be with Using each performance index value in each memory table, carries out real-time performance and show;It can also be using in historical performance file Historical performance index value carries out historical performance and shows.Real-time curve chart shows each performance indicator referred to according in monitoring cycle Value, is generated performance curve and the display of each performance indicator by the type of performance indicator, and the performance curve of each performance indicator can be with The time passage in the currently monitored period, and follow each new performance index value obtained in real time and develop.History graphs are aobvious Show each performance index value referred to according in historical performance file, the performance for generating each performance indicator by the type of performance indicator is bent Line is simultaneously shown, for showing web-based history performance.The corresponding performance presentation mode of different performance index can be in initialization procedure Middle correspondence is specified.
Specifically, near-end machine and remote termination after obtaining each performance index value, can be carried out more by corresponding client The performance of sample is presented.Such as during real-time process performance monitoring, client can read the property in each memory table Energy index value, in the way of in such a way that table is shown or real-time curve chart is shown, the current network performance of real-time display;Either Simultaneously in such a way that table is shown and in the way of real-time curve chart is shown, the current network performance of real-time display.
In another example client reads the historical performance file generated, and according to history after a monitoring cycle Can file in such a way that table show or mode that history graphs shows, show history network performance interior for a period of time Changing condition;Either simultaneously in such a way that table is shown and in the way of history graphs are shown, the current network of real-time display Performance can also show simultaneously carrying out real-time performance, show pervious historical performance situation of the currently monitored period.Client When carrying out performance displaying, can also according to operation user behavioural characteristic (namely operation user the default of display mode is set Set or preference setting etc.) carry out personalized performance and show.Such as client passes through the record operation recent selection of user Display mode, the collocation etc. of different display modes can be in the aobvious of client after next operation user logs in client Show the history display mode for showing collocation in the page, separately selected without operation user, client can be quickly in It deposits the performance index value in table and carries out real-time performance displaying, or historical performance displaying is carried out according to historical performance file.
It should be understood that although each step in the flow chart of Fig. 2 to Fig. 8 is successively shown according to the instruction of arrow, But these steps are not that the inevitable sequence according to arrow instruction successively executes.Unless expressly state otherwise herein, these There is no stringent sequences to limit for the execution of step, these steps can execute in other order.Moreover, Fig. 2 is into Fig. 8 At least part step may include that perhaps these sub-steps of multiple stages or stage are not necessarily same to multiple sub-steps One moment executed completion, but can execute at different times, and the execution in these sub-steps or stage sequence is also not necessarily Be successively carry out, but can at least part of the sub-step or stage of other steps or other steps in turn or Alternately execute.
Referring to Fig. 9, in one embodiment, also providing a kind of performance monitoring device 100, including obtain module 11, team Column processing module 13, capabilities processing module 15 and buffer process module 17.It is each in transmission data for obtaining to obtain module 11 Target capabilities data.Queue processing module 13 is used for respectively according to the type of each target capabilities data, by each target capabilities data It is put into each performance queue of corresponding types.Capabilities processing module 15 for respectively to the target capabilities data in each performance queue into Row KPI calculation processing obtains the corresponding performance index value of each target capabilities data.Buffer process module 17 is for referring to each performance Scale value is respectively stored into each correspondence memory table;Each performance index value is used to indicate client and carries out performance displaying.
Above-mentioned performance monitoring device 100, by the cooperation of each module, so that the target capabilities data for respectively needing to monitor are close It to the independent collection of progress on terminal, remote termination, and carries out KPI calculation processing respectively by the way of queue, then will obtain respectively To each respective performances index value be saved in corresponding memory table.The performance that client can be read in each memory table refers to After scale value, corresponding performance displaying is carried out.In this way, carrying out KPI calculation processing respectively by the way of queue, data can be received Collection is separated with process flow, the waiting time before reducing calculation processing, so that performance data during performance monitoring be effectively reduced Excessively high CPU usage when measuring huge improves calculating and the presentation rate of performance data, reduces the time delay of equipment, reach substantially Improve the purpose of performance monitoring efficiency.
In one embodiment, above-mentioned performance monitoring device 100 further includes initialization module.Initialization module is used for basis The performance parameter file of pre-configuration is respectively that each target capabilities data distribute corresponding memory table and initial in memory table Change;Performance parameter file includes that data name, data type, ID number and the KPI of each target capabilities data calculate function.
In one embodiment, buffer process module 17 specifically can be used for respectively according to the corresponding ID of each performance index value Number, each performance index value is respectively stored into each memory table of corresponding ID number.
In one embodiment, module 11 is obtained when realizing performance data acquisition, specifically can be used for receiving as needed Each performance data of collection, passage capacity probe read each target capabilities data for corresponding to each performance data from transmission data.
In one embodiment, module 11 is obtained when realizing performance data acquisition, specifically can be also used for receiving distal end Each target capabilities data that machine is come by microwave air interface transmission.
In one embodiment, above-mentioned performance monitoring device 100 further includes document processing module.Document processing module is used for In the currently monitored end cycle, corresponding historical performance file is generated according to each performance index value in each memory table;It goes through History performance file is used to indicate client and carries out historical performance displaying.
In one embodiment, above-mentioned performance monitoring device 100 further includes period treatment module.Period treatment module is used for Each performance index value in each memory table is emptied, and returns to the step for executing and obtaining each target capabilities data in transmission data Suddenly.
Specific about performance monitoring device 100 limits the corresponding limit that may refer to above for performance monitoring method Fixed, details are not described herein.Modules in above-mentioned performance monitoring device 100 can fully or partially through software, hardware and its Combination is to realize.Above-mentioned each module can be embedded in the form of hardware or independently of in the processor in communication equipment, can also be with Software form is stored in the memory in communication equipment, executes the corresponding behaviour of the above modules in order to which processor calls Make.The near-end machine as escribed above of communication equipment herein or remote termination can also be the multichannel data communication network based on microwave In other need to carry out the network element device of performance monitoring.
In one embodiment, a kind of communication equipment, near-end machine or remote termination as escribed above are also provided.The communication equipment Including memory and processor, memory is stored with computer program, and processor performs the steps of when executing computer program Obtain each target capabilities data in transmission data;Respectively according to the type of each target capabilities data, by each target capabilities data It is put into each performance queue of corresponding types;KPI calculation processing is carried out to the target capabilities data in each performance queue respectively, is obtained The corresponding performance index value of each target capabilities data;Each performance index value is respectively stored into each correspondence memory table;Each performance Index value is used to indicate client and carries out performance displaying.
It will be understood by those skilled in the art that the communication equipment in the present embodiment is in addition to above-mentioned memory and processor, It can also include other component parts, can specifically be determined according to the structure composition and its function of practical application communication equipment, Explanation is no longer unfolded in this specification one by one.
In one embodiment, it can also realize that above-mentioned performance monitoring method is respectively implemented when processor executes computer program Example in increase the step of or sub-step.
In one embodiment, a kind of computer readable storage medium is also provided, computer program is stored thereon with, is calculated Machine program performs the steps of each target capabilities data obtained in transmission data when being executed by processor;Respectively according to each mesh Each target capabilities data, are put into each performance queue of corresponding types by the type for marking performance data;Respectively in each performance queue Target capabilities data carry out KPI calculation processing, obtain the corresponding performance index value of each target capabilities data;By each performance indicator Value is respectively stored into each correspondence memory table;Each performance index value is used to indicate client and carries out performance displaying.
In one embodiment, when computer program is executed by processor, it can also realize that above-mentioned performance monitoring method is each The step of increase in embodiment or sub-step.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with Instruct relevant hardware to complete by computer program, computer program to can be stored in a non-volatile computer readable It takes in storage medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, this Shen Please provided by any reference used in each embodiment to memory, storage, database or other media, may each comprise Non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM (PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms, Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
Each technical characteristic of above embodiments can be combined arbitrarily, for simplicity of description, not to above-described embodiment In each technical characteristic it is all possible combination be all described, as long as however, the combination of these technical characteristics be not present lance Shield all should be considered as described in this specification.Only several embodiments of the present invention are expressed for above embodiments, retouches State more specific and detailed, but it cannot be understood as the limitations to patent of invention range.It should be pointed out that for this For the those of ordinary skill in field, without departing from the inventive concept of the premise, various modifications and improvements can be made, this Belong to protection scope of the present invention.Therefore, the scope of protection of the patent of the invention shall be subject to the appended claims.

Claims (11)

1. a kind of performance monitoring method characterized by comprising
Obtain each target capabilities data in transmission data;
Respectively according to the type of each target capabilities data, each target capabilities data are put into each performance of corresponding types Queue;
KPI calculation processing is carried out to the target capabilities data in each performance queue respectively, obtains each Objective It can the corresponding performance index value of data;
Each performance index value is respectively stored into each correspondence memory table;Each performance index value is used to indicate client Carry out performance displaying.
2. performance monitoring method according to claim 1, which is characterized in that obtain each target capabilities number in transmission data According to the step of, comprising:
Each performance data collected as needed, passage capacity probe is read from the transmission data corresponds to each performance Each target capabilities data of data.
3. performance monitoring method according to claim 2, which is characterized in that obtain each target capabilities number in transmission data According to the step of, further includes:
Receive each target capabilities data that remote termination is come by microwave air interface transmission.
4. performance monitoring method according to claim 1 or 2, which is characterized in that deposit each performance index value respectively After the step of storing up each correspondence memory table, further includes:
In the currently monitored end cycle, corresponding history is generated according to each performance index value in each memory table Performance file;The historical performance file is used to indicate the client and carries out historical performance displaying.
5. performance monitoring method according to claim 4, which is characterized in that in the currently monitored end cycle, according to each After the step of each performance index value in the memory table generates corresponding historical performance file, further includes:
Each performance index value in each memory table is emptied, and is returned each in the execution acquisition transmission data The step of target capabilities data.
6. performance monitoring method according to claim 1, which is characterized in that obtain each target capabilities number in transmission data According to the step of before, further includes:
It is respectively that each target capabilities data distribute corresponding memory in memory table according to the performance parameter file of pre-configuration Table simultaneously initializes;The performance parameter file includes the data name of each target capabilities data, data type, ID number Function is calculated with KPI.
7. performance monitoring method according to claim 6, which is characterized in that each performance index value to be respectively stored into The step of each correspondence memory table, comprising:
Respectively according to the corresponding ID number of each performance index value, each performance index value is respectively stored into corresponding ID number Each memory table.
8. performance monitoring method according to claim 4, which is characterized in that the performance show include table show with/ Or real-time curve chart is shown;
The historical performance displaying is shown including table and/or history graphs are shown.
9. a kind of performance monitoring device characterized by comprising
Module is obtained, for obtaining each target capabilities data in transmission data;
Queue processing module, for according to the type of each target capabilities data, each target capabilities data to be put respectively Enter each performance queue of corresponding types;
Capabilities processing module, for carrying out KPI calculation processing to the target capabilities data in each performance queue respectively, Obtain the corresponding performance index value of each target capabilities data;
Buffer process module, for each performance index value to be respectively stored into each correspondence memory table;Each performance refers to Scale value is used to indicate client and carries out performance displaying.
10. a kind of communication equipment, including memory and processor, the memory are stored with computer program, which is characterized in that The step of processor realizes performance monitoring method described in any one of claims 1 to 8 when executing the computer program.
11. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program The step of performance monitoring method described in any one of claims 1 to 8 is realized when being executed by processor.
CN201910817485.6A 2019-08-30 2019-08-30 Performance monitoring method, device, communication equipment and computer storage medium Pending CN110515805A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910817485.6A CN110515805A (en) 2019-08-30 2019-08-30 Performance monitoring method, device, communication equipment and computer storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910817485.6A CN110515805A (en) 2019-08-30 2019-08-30 Performance monitoring method, device, communication equipment and computer storage medium

Publications (1)

Publication Number Publication Date
CN110515805A true CN110515805A (en) 2019-11-29

Family

ID=68628634

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910817485.6A Pending CN110515805A (en) 2019-08-30 2019-08-30 Performance monitoring method, device, communication equipment and computer storage medium

Country Status (1)

Country Link
CN (1) CN110515805A (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2002033512A2 (en) * 2000-10-17 2002-04-25 Broadcloud Communications, Inc. Browser and network optimization systems and methods
CN105701257A (en) * 2016-03-31 2016-06-22 北京奇虎科技有限公司 Data processing method and device
CN107147547A (en) * 2017-07-10 2017-09-08 山东超越数控电子有限公司 A kind of cluster overall performance monitoring implementation method
CN109802843A (en) * 2017-11-16 2019-05-24 四川勇超网络科技有限公司 A kind of network equipment monitoring system based on SNMP
CN110147375A (en) * 2019-05-27 2019-08-20 四川网达科技有限公司 Information management system and method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2002033512A2 (en) * 2000-10-17 2002-04-25 Broadcloud Communications, Inc. Browser and network optimization systems and methods
CN105701257A (en) * 2016-03-31 2016-06-22 北京奇虎科技有限公司 Data processing method and device
CN107147547A (en) * 2017-07-10 2017-09-08 山东超越数控电子有限公司 A kind of cluster overall performance monitoring implementation method
CN109802843A (en) * 2017-11-16 2019-05-24 四川勇超网络科技有限公司 A kind of network equipment monitoring system based on SNMP
CN110147375A (en) * 2019-05-27 2019-08-20 四川网达科技有限公司 Information management system and method

Similar Documents

Publication Publication Date Title
EP3840295A1 (en) Resource configuration prediction method and device
CN101741885A (en) Distributed system and method for processing task flow thereof
CN108540568A (en) Computing capability sharing method and smart machine
CN110149377A (en) A kind of video service node resource allocation methods, system, device and storage medium
CN108628890A (en) A kind of data export method and system
CN109254896A (en) Acquisition methods, device, terminal device and the storage medium of engine monitoring data
CN115640935A (en) Method and device for calculating carbon emission of power system and computer equipment
CN114036746A (en) Energy data acquisition system and method based on cloud platform and computer equipment
CN111934315A (en) Source network load storage cooperative optimization operation method considering demand side and terminal equipment
CN109254211A (en) Control method, device, computer equipment and the storage medium of electrical equipment
CN105160559A (en) Interactive intelligent power utilization control method and system
CN110515805A (en) Performance monitoring method, device, communication equipment and computer storage medium
US8677003B1 (en) Distributed processing of streaming data on an event protocol
CN206480045U (en) A kind of customer care server and customer service system
CN110990144A (en) Task determination method and related equipment
CN115936365A (en) Regional power spot market clearing method and device for optimizing power of multi-terminal direct current tie line
CN110502543A (en) Device performance data storage method, device, equipment and storage medium
CN109934987A (en) Intelligence transfer queuing strategy and device
CN115328664A (en) Message consumption method, device, equipment and medium
CN110018906A (en) Dispatching method, server and scheduling system
Boutammine et al. An adaptive scheduling method for grid computing
Bu et al. Mean field approximations to a queueing system with threshold-based workload control scheme
CN110378612A (en) A kind of customer visit mission dispatching method and device
CN105188071A (en) Method, device and system for testing terminal power consumption
CN109992561A (en) Industrial real-time computing technique, storage medium and calculating equipment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
TA01 Transfer of patent application right

Effective date of registration: 20200113

Address after: 510663 Shenzhou Road, Guangzhou Science City, Guangzhou economic and Technological Development Zone, Guangdong, 10

Applicant after: Jingxin Communication System (China) Co., Ltd.

Address before: 510663 Shenzhou Road 10, Guangzhou Science City, Guangzhou economic and Technological Development Zone, Guangzhou, Guangdong

Applicant before: Jingxin Communication System (China) Co., Ltd.

Applicant before: Jingxin Communication System (Guangzhou) Co., Ltd.

Applicant before: Jingxin Communication Technology (Guangzhou) Co., Ltd.

Applicant before: TIANJIN COMBA TELECOM SYSTEMS CO., LTD.

TA01 Transfer of patent application right
CB02 Change of applicant information

Address after: 510663 Shenzhou Road, Guangzhou Science City, Guangzhou economic and Technological Development Zone, Guangdong, 10

Applicant after: Jingxin Network System Co.,Ltd.

Address before: 510663 Shenzhou Road, Guangzhou Science City, Guangzhou economic and Technological Development Zone, Guangdong, 10

Applicant before: Comba Telecom System (China) Ltd.

CB02 Change of applicant information