CN117176618B - Performance evaluation method for network data exchange software system - Google Patents

Performance evaluation method for network data exchange software system Download PDF

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CN117176618B
CN117176618B CN202311454686.7A CN202311454686A CN117176618B CN 117176618 B CN117176618 B CN 117176618B CN 202311454686 A CN202311454686 A CN 202311454686A CN 117176618 B CN117176618 B CN 117176618B
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data exchange
data
software system
network data
exchange software
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CN117176618A (en
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王超
高海南
赵静
周来俭
杨林涛
陈光宇
冶晓艳
罗红艳
李放
侯万里
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China Xian Satellite Control Center
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Abstract

The invention discloses a performance evaluation method of a network data exchange software system, which comprises the following steps: 1. establishing a mathematical model of a network data exchange software system as a multi-service window mixed queuing model; 2. setting the buffer area capacity of each data receiver in the network data exchange software system as N, and setting the average arrival rate of single service window data as NThe average service rate of the single service window is as followsAnd is random and stable; 3. acquiring key performance indexes of a network data exchange software system; 4. and performing performance evaluation on the network data exchange software system based on the key performance indexes of the network data exchange software system, and performing optimization based on parameters affecting the key performance indexes of the network data exchange software system. The method has simple steps, acquires key performance index parameters of data exchange time delay and data loss rate of the network data exchange software system, and performs performance evaluation and optimization on the network data exchange software system.

Description

Performance evaluation method for network data exchange software system
Technical Field
The invention belongs to the field of aerospace measurement data processing, and particularly relates to a performance evaluation method of a network data exchange software system.
Background
In network data processing, the network data exchange software system mainly bears the real-time interaction between monitoring measurement data of the spacecraft and data between ground users and ground equipment. The system carries out route forwarding on telemetry, external measurement and remote control data received in real time, so that the working performance of the system has direct influence on a back-end data processing system, and performance evaluation needs to be carried out on the system.
Each data receiver in the network data exchange software system receives data in a buffered manner, and when the buffer is full, the data is directly discarded. After the sender information is added to the received data, the received data is directly sent to a data processor in a message form for processing. The whole system does not generate data, only takes charge of receiving and forwarding the data, and is a typical network data exchange system.
Therefore, a reasonable-design performance evaluation method of the network data exchange software system is needed, key performance index parameters of data exchange time delay and data loss rate of the network data exchange software system are obtained based on a multi-service window mixed queuing model, and performance evaluation and optimization are performed on the network data exchange software system according to the key performance index parameters.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a performance evaluation method of a network data exchange software system, which has simple steps and reasonable design, acquires key performance index parameters of data exchange time delay and data loss rate of the network data exchange software system based on a multi-service window mixed queuing model, and evaluates and adjusts the performance of the network data exchange software system according to the key performance index parameters.
In order to solve the technical problems, the invention adopts the following technical scheme: a method for evaluating the performance of a network data exchange software system is characterized by comprising the following steps:
step one, establishing a mathematical model of a network data exchange software system as a multi-service window mixed queuing model; the network data exchange software system comprises n data receivers and n data processors, wherein one data receiver corresponds to one data processor, an ith data receiver and an ith data processor form a single service window, and a mathematical model of the ith data receiver and the ith data processor is a single service window mixed queuing model; i and n are positive integers, and i is more than or equal to 1 and less than or equal to n;
step two, setting the buffer area capacity of each data receiver in the network data exchange software system as N, and setting the average arrival rate of the single service window data as NThe average service rate of the single service window is +.>And is random and stable; the ith data processor processes and forwards one frame of data at a time;
step three, acquiring key performance indexes of a network data exchange software system; wherein, the key performance index comprises data exchange time delay and data loss rate;
and step four, performing performance evaluation on the network data exchange software system based on the key performance index of the network data exchange software system, and performing tuning based on parameters affecting the key performance index of the network data exchange software system.
The method for evaluating the performance of the network data exchange software system is characterized by comprising the following steps of:
step 301, according to the formulaObtain the service intensity of the system->The method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>
Step 302, according to the formulaObtaining initial system state probability of network data exchange software system>The method comprises the steps of carrying out a first treatment on the surface of the According to the formula->Obtaining the average captain of the data frame>
Step 303, according to the formulaObtaining the data exchange delay->
Step 304, according to the formulaObtaining the data loss rate->
The above-mentioned method for evaluating the performance of a network data exchange software system is characterized in that in the fourth step, the performance of the network data exchange software system is evaluated based on the key performance index of the network data exchange software system, and the performance is optimized based on the parameters affecting the key performance index of the network data exchange software system, and the specific process is as follows:
step 401, judgingData loss rateWhether or not it is zero, if the data loss rate +.>If the data exchange time delay is zero, judging the data exchange time delay>Whether the design data exchange delay value range is satisfied, if the data exchange delay is +>Meeting the design data exchange time delay value range, indicating that the performance of the network data exchange software system meets the engineering requirement normally; otherwise, if the data loss rate +.>If the performance of the network data exchange software system is not zero, the performance of the network data exchange software system does not meet the engineering requirements, and step 402 and step 403 are executed;
step 402, if data loss rateIs not zero, then->Greater than 1->Is greater than->When the network data exchange software system exceeds the steady-state range, the average arrival rate of the data in a single service window is +.>Under the unchanged condition, adopting the steps of adding the number of the data receivers and the data processors, increasing the buffer capacity of the data receivers or increasing the average service rate of the single service window so as to ensure that the average arrival rate of the data of the single service window is +.>Less than->Ensuring that the performance of the network data exchange software system meets engineering requirements;
step 403, adding data receiver and number of data processors, increasing buffer capacity of data receiver or increasing single service window average service rate still does not enable single service window data average arrival rateLess than->Down, if the data exchange delay->If the data exchange delay value range is not exceeded, taking measures to increase the data exchange delay +.>The method comprises the steps of carrying out a first treatment on the surface of the If the data exchange delay is->If the data exchange delay value exceeds the designed data exchange delay value range, taking measures to increase the data loss rate within the loss rate allowable range>Reduce the data exchange delay->The design data exchange delay value range is satisfied.
The performance evaluation method of the network data exchange software system is characterized in that the network data exchange software system does not generate data and only takes charge of receiving and forwarding the data.
Compared with the prior art, the invention has the following advantages:
1. the invention establishes the mathematical model of the network data exchange software system as a multi-service window mixed queuing model, and a single service window is formed by a data receiver and a data processor in the network data exchange software system, and the mathematical model is the single service window mixed queuing model, and the performance of the network data exchange software system is obtained by analyzing each single service window mixed queuing model, so that the realization is simple.
2. The invention sets the buffer area capacity of each data receiver as N, and the average arrival rate of single service window data is as followsThe average arrival rate of single service window data is +.>And under random stability, acquiring the key performance index data exchange time delay and the data loss rate in the multi-service window mixed queuing model, wherein the key performance index data exchange time delay and the data loss rate are the key performance indexes of the network data exchange software system.
3. The invention realizes the performance evaluation of the network data exchange software system through the key performance index data exchange time delay and the data loss rate, and can perform tuning based on the parameters affecting the key performance index of the network data exchange software system, thereby improving the system stability and meeting the engineering requirements.
In summary, the method has simple steps and reasonable design, acquires key performance index parameters of the data exchange time delay and the data loss rate of the network data exchange software system based on the multi-service window mixed queuing model, and performs performance evaluation and optimization on the network data exchange software system according to the key performance index parameters.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
Fig. 1 is a schematic diagram of a network data exchange software system according to the present invention.
Fig. 2 is a schematic structural diagram of a multi-service window hybrid queuing model according to the present invention.
Fig. 3 is a flow chart of the method of the present invention.
Detailed Description
As shown in fig. 1 to 3, the performance evaluation method of the network data exchange software system of the present invention comprises the following steps:
step one, establishing a mathematical model of a network data exchange software system as a multi-service window mixed queuing model; the network data exchange software system comprises n data receivers and n data processors, wherein one data receiver corresponds to one data processor, an ith data receiver and an ith data processor form a single service window, and a mathematical model of the ith data receiver and the ith data processor is a single service window mixed queuing model; i and n are positive integers, and i is more than or equal to 1 and less than or equal to n;
step two, setting the buffer area capacity of each data receiver in the network data exchange software system as N, and setting the average arrival rate of the single service window data as NThe average service rate of the single service window is +.>And is random and stable; the ith data processor processes and forwards one frame of data at a time;
step three, acquiring key performance indexes of a network data exchange software system; wherein, the key performance index comprises data exchange time delay and data loss rate;
and step four, performing performance evaluation on the network data exchange software system based on the key performance index of the network data exchange software system, and performing tuning based on parameters affecting the key performance index of the network data exchange software system.
In the embodiment, the key performance index of the network data exchange software system is obtained in the third step, and the specific process is as follows:
step 301, according to the formulaObtain the service intensity of the system->The method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>
Step 302, according to the formulaObtaining initial system state probability of network data exchange software system>The method comprises the steps of carrying out a first treatment on the surface of the According to the formula->Obtaining the average captain of the data frame>
Step 303, according to the formulaObtaining the data exchange delay->
Step 304, according to the formulaObtaining the data loss rate->
In the embodiment, in the fourth step, performance evaluation is performed on the network data exchange software system based on the key performance index of the network data exchange software system, and tuning is performed based on parameters affecting the key performance index of the network data exchange software system, and the specific process is as follows:
step 401, judging data loss rateWhether or not it is zero, if the data loss rate +.>If the data exchange time delay is zero, judging the data exchange time delay>Whether the design data exchange delay value range is satisfied, if the data exchange delay is +>Meeting the design data exchange time delay value range, indicating that the performance of the network data exchange software system meets the engineering requirement normally; otherwise, if the data loss rate +.>If the performance of the network data exchange software system is not zero, the performance of the network data exchange software system does not meet the engineering requirements, and step 402 and step 403 are executed;
step 402, if data loss rateIs not zero, then->Greater than 1->Is greater than->When the network data exchange software system exceeds the steady-state range, the average arrival rate of the data in a single service window is +.>Under the unchanged condition, adopting the steps of adding the number of the data receivers and the data processors, increasing the buffer capacity of the data receivers or increasing the average service rate of the single service window so as to ensure that the average arrival rate of the data of the single service window is +.>Less than->Ensuring the number of networksThe performance of the exchanged software system meets the engineering requirements;
step 403, adding data receiver and number of data processors, increasing buffer capacity of data receiver or increasing single service window average service rate still does not enable single service window data average arrival rateLess than->Down, if the data exchange delay->If the data exchange delay value range is not exceeded, taking measures to increase the data exchange delay +.>The method comprises the steps of carrying out a first treatment on the surface of the If the data exchange delay is->If the data exchange delay value exceeds the designed data exchange delay value range, taking measures to increase the data loss rate within the loss rate allowable range>Reduce the data exchange delay->The design data exchange delay value range is satisfied.
In this embodiment, the network data exchange software system is only responsible for receiving and forwarding data without generating data.
As shown in fig. 2, in this embodiment, it should be noted that, in the multi-service window hybrid queuing model, the buffer capacity of each data receiver is N, and the average arrival rate of data corresponding to each data receiver, that is, the average arrival rate of data of a single service window isAverage service rate of data processor, i.e. single service windowAverage service rate->
In this embodiment, it should be noted that, when data arrives in the system, if the buffer capacity of the data receiver reaches N, it is indicated that the buffer of the data receiver is full, and the data is directly discarded.
In this embodiment, it should be noted that after each data receiver adds the sender information to the received data, the received data is directly sent to the data processor in a message form for processing, and each data processor performs the destination address operation of the route according to the configured static routing rule and the message rule and the routing information of the data itself, and finally sends the data to the set of destination addresses.
In this embodiment, it should be noted that, the allowable loss rate range may be obtained according to the processing capability of the data processor, and does not exceed the maximum processing capability of the data processor.
In summary, the method has simple steps and reasonable design, acquires key performance index parameters of the data exchange time delay and the data loss rate of the network data exchange software system based on the multi-service window mixed queuing model, and performs performance evaluation and optimization on the network data exchange software system according to the key performance index parameters.
The foregoing description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and any simple modification, variation and equivalent structural changes made to the above embodiment according to the technical substance of the present invention still fall within the scope of the technical solution of the present invention.

Claims (3)

1. A method for evaluating the performance of a network data exchange software system is characterized by comprising the following steps:
step one, establishing a mathematical model of a network data exchange software system as a multi-service window mixed queuing model; the network data exchange software system comprises n data receivers and n data processors, wherein one data receiver corresponds to one data processor, an ith data receiver and an ith data processor form a single service window, and a mathematical model of the ith data receiver and the ith data processor is a single service window mixed queuing model; i and n are positive integers, and i is more than or equal to 1 and less than or equal to n;
step two, setting the buffer area capacity of each data receiver in the network data exchange software system as N, and setting the average arrival rate of the single service window data as NThe average service rate of the single service window is +.>And is random and stable; the ith data processor processes and forwards one frame of data at a time;
step three, acquiring key performance indexes of a network data exchange software system; wherein, the key performance index comprises data exchange time delay and data loss rate;
step four, performing performance evaluation on the network data exchange software system based on the key performance index of the network data exchange software system, and performing tuning based on parameters affecting the key performance index of the network data exchange software system;
in the third step, key performance indexes of the network data exchange software system are obtained, and the specific process is as follows:
step 301, according to the formulaObtain the service intensity of the system->The method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>
Step 302, according to the formulaObtaining initial system state probability of network data exchange software system>The method comprises the steps of carrying out a first treatment on the surface of the According to the formula->Obtaining the average captain of the data frame>
Step 303, according to the formulaObtaining the data exchange delay->
Step 304, according to the formulaObtaining the data loss rate->
2. A method for evaluating the performance of a network data switching software system according to claim 1, wherein: in the fourth step, the performance of the network data exchange software system is evaluated based on the key performance index of the network data exchange software system, and the optimization is performed based on the parameters affecting the key performance index of the network data exchange software system, and the specific process is as follows:
step 401, judging data loss rateWhether or not it is zero, if the data loss rate +.>If the data exchange time delay is zero, judging the data exchange time delayWhether the design data exchange delay value range is satisfied, if the data exchange delay is +>Meeting the design data exchange time delay value range, indicating that the performance of the network data exchange software system meets the engineering requirement normally; otherwise, if the data loss rate +.>If the performance of the network data exchange software system is not zero, the performance of the network data exchange software system does not meet the engineering requirements, and step 402 and step 403 are executed;
step 402, if data loss rateIs not zero, then->Greater than 1->Is greater than->When the network data exchange software system exceeds the steady-state range, the average arrival rate of the data in a single service window is +.>Under the unchanged condition, adopting the steps of adding the number of the data receivers and the data processors, increasing the buffer capacity of the data receivers or increasing the average service rate of the single service window so as to ensure that the average arrival rate of the data of the single service window is +.>Less than->Ensuring that the performance of the network data exchange software system meets engineering requirements;
step 403, adding data receiver and number of data processors, increasing buffer capacity of data receiver or increasing single service window average service rate still does not enable single service window data average arrival rateLess than->Down, if the data exchange delay->If the data exchange delay value range is not exceeded, taking measures to increase the data exchange delay +.>The method comprises the steps of carrying out a first treatment on the surface of the If the data exchange delay is->If the data exchange delay value exceeds the designed data exchange delay value range, taking measures to increase the data loss rate within the loss rate allowable range>Reduce the data exchange delay->The design data exchange delay value range is satisfied.
3. A method for evaluating the performance of a network data switching software system according to claim 1, wherein: the network data exchange software system does not generate data and is only responsible for receiving and forwarding the data.
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Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101299713A (en) * 2008-03-21 2008-11-05 哈尔滨工业大学深圳研究生院 Method for setting multilayer satellite network system route
CN102075971A (en) * 2010-12-29 2011-05-25 高天润 Performance index prediction method for data access process in intelligent monitoring application
CN103023703A (en) * 2012-12-18 2013-04-03 北京航空航天大学 Network timely reliability accelerated test method based on M/M/s queuing model
CN108847969A (en) * 2018-06-05 2018-11-20 北京航空航天大学 Network business reliability analysis method based on information flow
CN110336709A (en) * 2019-05-29 2019-10-15 中国石油大学(华东) A kind of MPTCP Incast Evaluating Models based on queuing network
WO2020125153A1 (en) * 2018-12-20 2020-06-25 南京杰迈视讯科技有限公司 Smooth network video playback control method based on streaming media technology
CN112203300A (en) * 2020-08-07 2021-01-08 杭州电子科技大学 Routing performance evaluation method for wireless communication node of power internet of things
CN112312299A (en) * 2020-10-27 2021-02-02 国网通用航空有限公司 Service unloading method, device and system
WO2023109007A1 (en) * 2021-12-17 2023-06-22 北京邮电大学 Time domain resource configuration method and apparatus, electronic device, and storage medium

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101299713A (en) * 2008-03-21 2008-11-05 哈尔滨工业大学深圳研究生院 Method for setting multilayer satellite network system route
CN102075971A (en) * 2010-12-29 2011-05-25 高天润 Performance index prediction method for data access process in intelligent monitoring application
CN103023703A (en) * 2012-12-18 2013-04-03 北京航空航天大学 Network timely reliability accelerated test method based on M/M/s queuing model
CN108847969A (en) * 2018-06-05 2018-11-20 北京航空航天大学 Network business reliability analysis method based on information flow
WO2020125153A1 (en) * 2018-12-20 2020-06-25 南京杰迈视讯科技有限公司 Smooth network video playback control method based on streaming media technology
CN110336709A (en) * 2019-05-29 2019-10-15 中国石油大学(华东) A kind of MPTCP Incast Evaluating Models based on queuing network
CN112203300A (en) * 2020-08-07 2021-01-08 杭州电子科技大学 Routing performance evaluation method for wireless communication node of power internet of things
CN112312299A (en) * 2020-10-27 2021-02-02 国网通用航空有限公司 Service unloading method, device and system
WO2023109007A1 (en) * 2021-12-17 2023-06-22 北京邮电大学 Time domain resource configuration method and apparatus, electronic device, and storage medium

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
天线交换柜系统网络性能的测试评估;林怀清;;微计算机信息(第02期);全文 *

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