CN109687980A - Cloud paddy far management system - Google Patents
Cloud paddy far management system Download PDFInfo
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- CN109687980A CN109687980A CN201811644926.9A CN201811644926A CN109687980A CN 109687980 A CN109687980 A CN 109687980A CN 201811644926 A CN201811644926 A CN 201811644926A CN 109687980 A CN109687980 A CN 109687980A
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/02—Details
- H04L12/14—Charging, metering or billing arrangements for data wireline or wireless communications
- H04L12/1403—Architecture for metering, charging or billing
- H04L12/1407—Policy-and-charging control [PCC] architecture
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/02—Details
- H04L12/14—Charging, metering or billing arrangements for data wireline or wireless communications
- H04L12/1432—Metric aspects
- H04L12/1435—Metric aspects volume-based
-
- 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
- H04L41/02—Standardisation; Integration
- H04L41/0213—Standardised network management protocols, e.g. simple network management protocol [SNMP]
-
- 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
- H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
- H04L41/5029—Service quality level-based billing, e.g. dependent on measured service level customer is charged more or less
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0876—Network utilisation, e.g. volume of load or congestion level
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/12—Network monitoring probes
Abstract
The present invention provides a kind of cloud paddy far management system, which includes: user terminal, user terminal be it is multiple, each user terminal includes at least one interchanger；Data acquisition unit, data acquisition unit include multiple probes, and probe is communicatively coupled to the port of interchanger；Data processing unit, data processing unit include data processor, cache database and storage database, and data processor is communicatively coupled to multiple probes, and cache database and storage database communication are connected to data processor；Charging Detail Record unit, Charging Detail Record unit include valuation processor and login service device, and valuation processor communication is connected to data processing unit, and login service device is communicatively coupled to valuation processor.The cloud paddy far management system can be improved inquiry velocity, improve statistics charging working efficiency.
Description
Technical field
The invention belongs to IDC charge on traffic fields, more particularly, to a kind of cloud paddy far management system.
Background technique
IDC charge on traffic is a kind of bandwidth rent based on flow collection in order to adapt to the rapid development of IDC business and release
It is shown by database purchase, server operation, page end using acquisition means to realize that entire business is patrolled with pricing structure
Volume.
In the prior art and with the increasingly growth of data volume, acquires data and be deposited into Shi Zeng great in database server
The I/O load of hard disk, and after data volume increases, when tables of data when counting moon data every time in inquiry database, hard disk
I/O load reaches at full capacity, and returning to the time-consuming of inquiry data can be very big, when counting the moon charge on traffic figure and value of a client
It is achievable to be frequently necessary to 2-5 minutes, greatly reduces the working efficiency of billing department.
For the database bottleneck in original framework, industry mainly has 3 kinds of solutions:
1, data divide table: customizing stored procedure task by date, monthly carry out separating an of that month database table.This side
Full library lookup problem when case can be to avoid inquiry, it is possible to reduce some query results put back to time-consuming.But due to increasing number
According to the stored procedure task of Ku Biao and timing, complexity is increased for database maintenance.
2, read and write abruption: one is in addition disposed from database server, and the data of real-time synchronization primary database, master data
Write-in acquisition data are only responsible in library, are only responsible for response inquiry operation from database.Deployment needs to change data acquisition module in this way
And enquiry module, be connected respectively to advocate peace from database on.The shortcomings that this scheme is the dimension for increasing database server
Shield amount and occur requiring manual intervention when database synchronization failure and could restore, is unfavorable for the stable operation of whole system.
3, upgrade solid state hard disk: database server is upgraded to solid-state SSD hard disk by used mechanical hard disk, due to solid-state
R/W speed of hard disc is 30-50 times of mechanical hard disk or so, and this scheme can be fully solved the slow problem of data base querying.But
Since database data amount is big, the solid state hard disk price of large capacity is very high, cause using this scheme need pay it is very big at
This.
Therefore, it is necessary to develop one kind can be improved inquiry velocity, improves the cloud paddy accounting management of statistics charging working efficiency
System.
The information for being disclosed in background of invention part is merely intended to deepen the reason to general background technique of the invention
Solution, and it is known to those skilled in the art existing to be not construed as recognizing or imply that the information is constituted in any form
Technology.
Summary of the invention
The object of the present invention is to provide a kind of cloud paddy far management system, which can be improved inquiry
Speed improves statistics charging working efficiency.
To achieve the goals above, the present invention provides a kind of cloud paddy far management system, the cloud paddy far management system packet
It includes:
User terminal, the user terminal be it is multiple, each user terminal includes at least one interchanger；
Data acquisition unit, the data acquisition unit include multiple probes, and the probe is communicatively coupled to interchanger
Port；
Data processing unit, the data processing unit include data processor, cache database and storage data
Library, the data processor are communicatively coupled to the multiple probe, and the cache database and storage database communication connect
It is connected to the data processor；
Charging Detail Record unit, the Charging Detail Record unit include valuation processor and login service device, and the valuation processor communication connects
It is connected to the data processing unit, the login service device is communicatively coupled to the valuation processor.
Preferably, the cache database is redis database, and the storage database is hard disk.
Preferably, cloud paddy far management system further include:
The data acquisition unit obtains bottom flow packet quantity by probe；
The data processor receives bottom flow packet quantity, calculates and obtains charging flow bandwidth data；
The cache database stores the charging flow bandwidth data, and the charging flow bandwidth data are same
Step is stored to the storage database；
The valuation processor is based on the charging flow bandwidth data, calculates and obtains bandwidth rental expense.
Preferably, cloud paddy far management system further include:
User is based on user information and logs in Charging Detail Record unit by login service device, obtains bandwidth and rents expense；
For obtaining the bottom flow packet quantity of the storage databases storage, the meter based on the valuation processor
Valence processor is based on the bottom flow packet quantity and calculates acquisition audit bandwidth rental expense.
It preferably, further include that the valuation processor is based on audit bandwidth rental expense and bandwidth rental expense
It is compared, obtains auditing result.
Preferably, the acquisition bottom flow packet quantity includes:
The probe acquires the inbound traffics and outflow for obtaining switch port by snmp protocol, obtains bottom flow packet
Quantity.
Preferably, the valuation processor is based on the charging flow bandwidth data, calculates and obtains bandwidth rental expense packet
It includes:
Bandwidth is rented based on user, multiple charging points are set, the multiple continuous bandwidth sections of bandwidth partition will be rented, each
Charging point corresponds to section bandwidth and rents expense；
The valuation processor is based on the flow bandwidth data, obtains average flow rate in the unit time；
The valuation processor is by the area of the larger charging point in the bandwidth section where average flow rate in the unit time
Between bandwidth rent be used as bandwidth rent expense.
Preferably, the valuation processor is based on the charging flow bandwidth data, calculates and obtains bandwidth rental expense packet
It includes:
Bandwidth is rented based on user, multiple charging points are set, the multiple continuous bandwidth sections of bandwidth partition will be rented, each
Charging point corresponds to bandwidth and rents monovalent expense；
The valuation processor is based on the flow bandwidth data, obtains average flow rate in the unit time；
The valuation processor based on the bandwidth section where average flow rate in the unit time, obtain low charging point and
High charging point；
The valuation processor is based on average flow rate in the unit time, the low charging point and the high charging point
Bandwidth rents monovalent expense and calculates the acquisition monovalent expense of bandwidth rental；
Specific formula are as follows:
W=jmin*Dmin+(m-jmax)*Dmax
Wherein, w is that bandwidth rents expense, and m is average flow rate in the unit time, jminFor low charging point, DminFor low charging
The bandwidth of point rents monovalent expense, jmaxFor high charging point, jmaxMonovalent expense is rented for the bandwidth of high charging point.
Preferably, the valuation processor is based on the charging flow bandwidth data, calculates and obtains bandwidth rental expense packet
It includes:
Bandwidth is rented based on user, multiple charging points are set, the multiple continuous bandwidth sections of bandwidth partition will be rented, each
Bandwidth section corresponds to section bandwidth and rents expense；
User is divided into peak net period and idle net period the rental broadband time；
The valuation processor is based on the flow bandwidth data, obtains in the first unit time of the peak with the net period
Average flow rate and idle average flow rate in the second unit time of net period；
The valuation processor is average based on average flow rate in first unit time and in second unit time
Flow rate calculation obtains bandwidth and rents expense.
Preferably, the valuation processor is based on average flow rate and second unit time in first unit time
Interior average flow rate, which calculates, obtains the formula that bandwidth rents expense are as follows:
W=m1*g*gd*k1+m2*x*xd*k2
Wherein, w is that bandwidth rents expense, m1For average flow rate in the first unit time, g is that peak net period Zhan is total
The ratio of time, gdExpense, k are rented for the section bandwidth in bandwidth section where average flow rate in the first unit time1For adjust because
Son, m2For average flow rate in the second unit time, x is the ratio that idle accounts for total time with the net period, xdFor the second unit time
The section bandwidth in bandwidth section rents expense, k where interior average flow rate2For regulatory factor.
Other features and advantages of the present invention will then part of the detailed description can be specified.
Detailed description of the invention
Exemplary embodiment of the invention is described in more detail in conjunction with the accompanying drawings, it is of the invention above-mentioned and its
Its purpose, feature and advantage will be apparent, wherein in exemplary embodiment of the invention, identical reference label
Typically represent same parts.
Fig. 1 shows the module connection diagram of cloud paddy far management system according to an embodiment of the invention.
Specific embodiment
The preferred embodiment of the present invention is described in more detail below.Although the following describe preferred implementations of the invention
Mode, however, it is to be appreciated that may be realized in various forms the present invention without that should be limited by the embodiments set forth herein.Phase
Instead, these embodiments are provided so that the present invention is more thorough and complete, and can be by the scope of the present invention completely
It is communicated to those skilled in the art.
Fig. 1 shows the module connection diagram of cloud paddy far management system according to an embodiment of the invention.
As shown in Figure 1, the present invention provides a kind of cloud paddy far management system, which includes:
User terminal, the user terminal be it is multiple, each user terminal includes at least one interchanger；
Data acquisition unit, the data acquisition unit include multiple probes, and the probe is communicatively coupled to interchanger
Port；
Data processing unit, the data processing unit include data processor, cache database and storage data
Library, the data processor are communicatively coupled to the multiple probe, and the cache database and storage database communication connect
It is connected to the data processor；
Charging Detail Record unit, the Charging Detail Record unit include valuation processor and login service device, and the valuation processor communication connects
It is connected to the data processing unit, the login service device is communicatively coupled to the valuation processor.
Specifically, in use, data acquisition unit acquires bottom flow packet quantity: data processor receives the bottom that acquisition comes
Laminar flow amount packet quantity, union are stored at charging band data unit bps data to cache database, while synchronous storage
To storage database, Charging Detail Record unit, which calculates the charging flow bandwidth data handled well in cache database, obtains bandwidth rent
Use expense.
Specifically, storage improved by the setting of cache database, calculated, the speed of inquiry, greatly improve statistics
Charging working efficiency.
Preferably, the cache database is redis database, and the storage database is hard disk.
Specifically, from the perspective of from the level of system, existing Database Systems bottleneck has concentrated on disk I/O.So to improve
Database speed, it is necessary to reduce the operation of disk I/O, but there is ten million information to exist in database again, inquire every time
Database is exactly an I/O operation, especially carries out period inquiry to tables of data, very consuming disk I/O；Such as inquiry client
The flow of the total interface in July, database can be inquired in more than 300 ten thousand datas and return to 8000, consuming 3 seconds.So answering
The reduction inquiry for reducing data strip mesh number to the greatest extent is time-consuming, reduces the disk I/O time, this time is that reduction effect is less obvious
's.By the cloud paddy far management system of the application, when calling data acquisition unit inquiry billing clients with webpage client
When, it directly goes in redis database to inquire, directly be returned after redis data base querying to data, avoid inquiry DB, thus
Avoid disk I/O operation；A cache layer is increased by the setting of redis database in this way；Logic is seemed to increase,
It is real when data queries more in face of high concurrent, such as top mention frequent inquiry customer traffic the case where, as long as redis
Hard disk need not just be inquired again by existing in database；Due to without disk I/O operation, and all data of redis database
All in internal memory operation, greatly promoted so speed is returned.Memory service efficiency can be effectively improved using cache layer, reduces data
Dependence of the library to hard disk hardware, to save hardware cost.So passing through cached data in billing architecture design process
The performance of system is improved in library, and reduces the load of database.
Preferably, cloud paddy far management system further include:
The data acquisition unit obtains bottom flow packet quantity by probe；
The data processor receives bottom flow packet quantity, calculates and obtains charging flow bandwidth data；
The cache database stores the charging flow bandwidth data, and the charging flow bandwidth data are same
Step is stored to the storage database；
The valuation processor is based on the charging flow bandwidth data, calculates and obtains bandwidth rental expense.
Preferably, cloud paddy far management system further include:
User is based on user information and logs in Charging Detail Record unit by login service device, obtains bandwidth and rents expense；
For obtaining the bottom flow packet quantity of the storage databases storage, the meter based on the valuation processor
Valence processor is based on the bottom flow packet quantity and calculates acquisition audit bandwidth rental expense.
It preferably, further include that the valuation processor is based on audit bandwidth rental expense and bandwidth rent
It is compared with expense, obtains auditing result.
Specifically, it since the storage stability of storage database is higher, by storing data database storing, is only used for examining
It counts and deposits bottom and verify the dependence reduced to hard disk, reduce hard disk access times, statistics charging working efficiency can be greatly improved.
Specifically, user can log in cloud paddy far management system by login service device and carry out inquiry about charging, while can
Audit charging result accuracy is compared with bandwidth rental expense to rent expense by audit bandwidth.
Preferably, the acquisition bottom flow packet quantity includes:
The probe acquires the inbound traffics and outflow for obtaining switch port by snmp protocol, obtains bottom flow packet
Quantity.
Preferably, the valuation processor is based on the charging flow bandwidth data, calculates and obtains bandwidth rental
Expense includes:
Bandwidth is rented based on user, multiple charging points are set, the multiple continuous bandwidth sections of bandwidth partition will be rented, each
Charging point corresponds to section bandwidth and rents expense；
The valuation processor is based on the flow bandwidth data, obtains average flow rate in the unit time；
The valuation processor is by the area of the larger charging point in the bandwidth section where average flow rate in the unit time
Between bandwidth rent be used as bandwidth rent expense.
Specifically, traditional charging mode is that charging is carried out using speed limit mode, and operator uses peak based on user bandwidth
Value carries out charging.Bandwidth partition is multiple sections by the present invention, knows that target user uses flow number by processor of valuating
According to the bandwidth section at place, the larger charging point based on the bandwidth section carries out charging.For example, certain user has rented a gigabit
100MB, 200MB, 300MB, 500MB, 1000MB charging point is arranged in port；Each charging point is corresponding with a section bandwidth and rents
With expense, if actual mean flow rate is 350MB in the unit time, in the bandwidth section in 200~300MB, i.e., according to
The section bandwidth rent of 300MB~500MB calculates expense.
Preferably, the valuation processor is based on the charging flow bandwidth data, calculates and obtains bandwidth rental
Expense includes:
Bandwidth is rented based on user, multiple charging points are set, the multiple continuous bandwidth sections of bandwidth partition will be rented, each
Charging point corresponds to bandwidth and rents monovalent expense；
The valuation processor is based on the flow bandwidth data, obtains average flow rate in the unit time；
The valuation processor based on the bandwidth section where average flow rate in the unit time, obtain low charging point and
High charging point；
The valuation processor is based on average flow rate in the unit time, the low charging point and the high charging point
Bandwidth rents monovalent expense and calculates the acquisition monovalent expense of bandwidth rental；
Specific formula are as follows:
W=jmin*Dmin+(m-jmax)*Dmax
Wherein, w is that bandwidth rents expense, and m is average flow rate in the unit time, jminFor low charging point, DminFor low charging
The bandwidth of point rents monovalent expense, jmaxFor high charging point, jmaxMonovalent expense is rented for the bandwidth of high charging point.
Specifically, traditional charging mode is that charging is carried out using speed limit mode, and operator uses peak based on user bandwidth
Value carries out charging, and bandwidth partition is multiple sections by the present invention, know that target user uses flow number by processor of valuating
According to the bandwidth section at place, charging is carried out.For example, certain user has rented a gigabit port, setting 100MB, 200MB,
300MB, 500MB, 1000MB charging point；Each bandwidth section is corresponding with a bandwidth and rents monovalent expense, if in the unit time
Actual mean flow rate is 350MB, then the 300M in 350M according to the bandwidth in 300~500MB bandwidth section rent monovalent expense into
Row charging, remaining 50M rent monovalent expense according to the bandwidth in 500MB~1000MB bandwidth section and carry out charging.
Preferably, the valuation processor is based on the charging flow bandwidth data, calculates and obtains bandwidth rental
Expense includes:
Bandwidth is rented based on user, multiple charging points are set, the multiple continuous bandwidth sections of bandwidth partition will be rented, each
Bandwidth section corresponds to section bandwidth and rents expense；
User is divided into peak net period and idle net period the rental broadband time；
The valuation processor is based on the flow bandwidth data, obtains in the first unit time of the peak with the net period
Average flow rate and idle average flow rate in the second unit time of net period；
The valuation processor is average based on average flow rate in first unit time and in second unit time
Flow rate calculation obtains bandwidth and rents expense.
Preferably, the valuation processor is based on average flow rate and second list in first unit time
Average flow rate, which calculates, in the time of position obtains the formula that bandwidth rents expense are as follows:
W=m1*g*gd*k1+m2*x*xd*k2
Wherein, w is that bandwidth rents expense, m1For average flow rate in the first unit time, g is that peak net period Zhan is total
The ratio of time, gdExpense, k are rented for the section bandwidth in bandwidth section where average flow rate in the first unit time1For adjust because
Son, m2For average flow rate in the second unit time, x is the ratio that idle accounts for total time with the net period, xdFor the second unit time
The section bandwidth in bandwidth section rents expense, k where interior average flow rate2For regulatory factor.
Specifically, traditional charging mode is that charging is carried out using speed limit mode, and operator uses peak based on user bandwidth
Value carries out charging, the present invention by bandwidth partition be multiple bandwidth sections, peak net period and idle net period into
Row charging encourages user to avoid the peak hour and uses net.
Various embodiments of the present invention are described above, above description is exemplary, and non-exclusive, and
It is not limited to disclosed each embodiment.Without departing from the scope and spirit of illustrated each embodiment, for this skill
Many modifications and changes are obvious for the those of ordinary skill in art field.
Claims (10)
1. a kind of cloud paddy far management system, which is characterized in that the cloud paddy far management system includes:
User terminal, the user terminal be it is multiple, each user terminal includes at least one interchanger；
Data acquisition unit, the data acquisition unit include multiple probes, and described pop one's head in is communicatively coupled to the port of interchanger；
Data processing unit, the data processing unit include data processor, cache database and storage database, institute
It states data processor and is communicatively coupled to the multiple probe, the cache database and storage database communication are connected to institute
State data processor；
Charging Detail Record unit, the Charging Detail Record unit include that valuation processor and login service device, the valuation processor communication are connected to
The data processing unit, the login service device are communicatively coupled to the valuation processor.
2. cloud paddy far management system according to claim 1, which is characterized in that the cache database is
Redis database, the storage database are hard disk.
3. cloud paddy far management system according to claim 1, which is characterized in that further include:
The data acquisition unit obtains bottom flow packet quantity by probe；
The data processor receives bottom flow packet quantity, calculates and obtains charging flow bandwidth data；
The cache database stores the charging flow bandwidth data, and the charging flow bandwidth data are synchronized and are deposited
It stores up to the storage database；
The valuation processor is based on the charging flow bandwidth data, calculates and obtains bandwidth rental expense.
4. cloud paddy far management system according to claim 3, which is characterized in that further include:
User is based on user information and logs in Charging Detail Record unit by login service device, obtains bandwidth and rents expense；
The valuation processor obtains the charging flow bandwidth data of the storage databases storage, calculates and obtains audit bandwidth
Rental expense.
5. cloud paddy far management system according to claim 4, which is characterized in that further include that the valuation processor is based on
The audit bandwidth is rented expense and is compared with bandwidth rental expense, and auditing result is obtained.
6. cloud paddy far management system according to claim 3, which is characterized in that the acquisition bottom flow packet quantity packet
It includes:
The probe acquires the inbound traffics and outflow for obtaining switch port by snmp protocol, obtains bottom flow packet number
Amount.
7. cloud paddy far management system according to claim 3, which is characterized in that the valuation processor is based on described
Take flow bandwidth data, calculating acquisition bandwidth rental expense includes:
Bandwidth is rented based on user, multiple charging points are set, the multiple continuous bandwidth sections of bandwidth partition, each charging will be rented
The corresponding section bandwidth of point rents expense；
The valuation processor is based on the flow bandwidth data, obtains average flow rate in the unit time；
The valuation processor is by the section band of the larger charging point in the bandwidth section where average flow rate in the unit time
Wide rent is used as bandwidth and rents expense.
8. cloud paddy far management system according to claim 3, which is characterized in that the valuation processor is based on described
Take flow bandwidth data, calculating acquisition bandwidth rental expense includes:
Bandwidth is rented based on user, multiple charging points are set, the multiple continuous bandwidth sections of bandwidth partition, each charging will be rented
The corresponding bandwidth of point rents monovalent expense；
The valuation processor is based on the flow bandwidth data, obtains average flow rate in the unit time；
The valuation processor obtains low charging point and high meter based on the bandwidth section where average flow rate in the unit time
Fei Dian；
The valuation bandwidth of the processor based on average flow rate, the low charging point and the high charging point in the unit time
It rents monovalent expense and calculates the acquisition monovalent expense of bandwidth rental；
Specific formula are as follows:
W=jmin*Dmin+(m-jmax)*Dmax
Wherein, w is that bandwidth rents expense, and m is average flow rate in the unit time, jminFor low charging point, DminFor low charging point
Bandwidth rents monovalent expense, jmaxFor high charging point, jmaxMonovalent expense is rented for the bandwidth of high charging point.
9. cloud paddy far management system according to claim 3, which is characterized in that the valuation processor is based on described
Take flow bandwidth data, calculating acquisition bandwidth rental expense includes:
Bandwidth is rented based on user, multiple charging points are set, the multiple continuous bandwidth sections of bandwidth partition, each bandwidth will be rented
Section corresponds to section bandwidth and rents expense；
User is divided into peak net period and idle net period the rental broadband time；
The valuation processor is based on the flow bandwidth data, obtains peak and uses in the first unit time of net period averagely
Flow and idle average flow rate in the second unit time of net period；
The valuation processor is based on average flow rate and average flow rate in second unit time in first unit time
It calculates and obtains bandwidth rental expense.
10. cloud paddy far management system according to claim 9, which is characterized in that the valuation processor is based on described
In first unit time average flow rate and in second unit time average flow rate calculate obtain bandwidth rent expense formula
Are as follows:
W=m1*g*gd*k1+m2*x*xd*k2
Wherein, w is that bandwidth rents expense, m1For average flow rate in the first unit time, g accounts for total time with the net period for peak
Ratio, gdExpense, k are rented for the section bandwidth in bandwidth section where average flow rate in the first unit time1For regulatory factor,
m2For average flow rate in the second unit time, x is the ratio that idle accounts for total time with the net period, xdFor in the second unit time
The section bandwidth in bandwidth section rents expense, k where average flow rate2For regulatory factor.
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