CN110719230B - Method and device for adjusting peak staggering interval and computer readable storage medium - Google Patents
Method and device for adjusting peak staggering interval and computer readable storage medium Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/20—Traffic policing
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/50—Queue scheduling
- H04L47/62—Queue scheduling characterised by scheduling criteria
- H04L47/625—Queue scheduling characterised by scheduling criteria for service slots or service orders
- H04L47/627—Queue scheduling characterised by scheduling criteria for service slots or service orders policing
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention discloses a peak-staggering interval adjusting method which is applied to terminal equipment and comprises the following steps: determining a service reporting period of reporting service; receiving service processing parameters sent by a server; determining the time window offset of the reporting service according to the service reporting period and the service processing parameters; the invention also discloses a peak-to-peak interval adjusting device and a computer readable storage medium. By adopting the scheme of the invention, the peak staggering interval of the terminal can be dynamically adjusted from the cooperation angle of the terminal and the server, thereby improving the reporting efficiency.
Description
Technical Field
Embodiments of the present invention relate to the field of communications technologies, and in particular, but not limited to, a method and apparatus for peak-to-peak interval adjustment, and a computer readable storage medium.
Background
Narrowband internet of things (Narrow Band Internet of things, NB-IOT) is considered as the most promising technology for mass machine-type communication (mctc), and with the completion of NB-IOT full-network coverage for 3-quarter chinese telecommunications and 2017-bottom chinese mobile in 2017, more and more applications of NB-IOT-based internet of things are implemented, but because NB-IOT is a group effect based on multiple business models, the capability of data concurrency processing is poor, especially for data reporting of Tracker (Tracker) products. Typically, the reporting period interval of Tracker per day is very short, and is currently at least once per 5 minutes. As the product size increases, so does the pressure of server concurrency of the tracker application platform.
At present, in order to relieve the pressure of an application server and consider the power consumption of a terminal, a lot of internet of things products can set the time for data transmission for each device when leaving the factory, or a random number is added from the time point when data is required to be transmitted for data transmission, but the two modes are only longer for service interval time, meanwhile, the internet of things products with predictable delivery capacity are more suitable, for the Tracker of consumption, the service interval is short, the delivery quantity of the products is unpredictable, and the problems of product upgrading and the like are considered, so that the peak staggering at one side of the simple terminal cannot meet the access of more terminals to a platform. In addition, a high-speed and high-flow service is needed, a scheduling function is needed to be realized at the cloud platform end, the scheduling function is used for scheduling the terminal for sending data at the next time, but the mode needs deep customization of the cloud platform, the customization difficulty is high, more interaction between the terminal and the platform is needed, and additional influence is brought to the flow and the power consumption of the terminal.
Disclosure of Invention
Accordingly, a primary object of the embodiments of the present invention is to provide a peak-to-peak interval adjustment method, apparatus and computer readable storage medium, which can dynamically adjust the peak-to-peak interval of a terminal from the point of cooperation between the terminal and a server.
The technical scheme of the embodiment of the invention is realized as follows:
the invention provides a peak staggering interval adjustment method, which is applied to terminal equipment, and comprises the following steps:
determining a service reporting period of reporting service;
receiving service processing parameters sent by a server;
and determining the time window offset of the reporting service according to the service reporting period and the service processing parameters.
The invention also provides a peak-staggering interval adjusting device, which comprises: a first determination module (51), a receiving module (52) and a second determination module (53); wherein, the liquid crystal display device comprises a liquid crystal display device,
the first determining module (51) is configured to determine a service reporting period for reporting a service;
the receiving module (52) is used for receiving the service processing parameters sent by the server;
the second determining module (53) is configured to determine a time window offset of the reporting service according to the service reporting period and the service processing parameter.
The invention also provides a peak-to-peak interval adjustment device comprising a processor and a memory for storing a computer program capable of running on the processor; wherein the processor is configured to execute the steps of the peak-to-peak interval adjustment method according to any one of the above schemes applied to the terminal device when the computer program is executed.
The present invention also provides a computer-readable storage medium having stored thereon a computer program, characterized in that the computer program, when executed by a processor, implements the steps of the peak-to-peak interval adjustment method according to any one of the above schemes applied to a terminal device.
The method, the device and the computer readable storage medium for adjusting the peak staggering interval provided by the embodiment of the invention determine the service reporting period of the reporting service; receiving service processing parameters sent by a server; and determining the time window offset of the reporting service according to the service reporting period and the service processing parameters. Therefore, the peak staggering interval of the terminal can be dynamically adjusted from the cooperation angle of the terminal and the server, so that the reporting efficiency is improved.
Drawings
FIG. 1 is a schematic diagram of an implementation flow of a peak-to-peak interval adjustment method according to a first embodiment of the present invention;
FIG. 2 is a diagram of a model structure of a peak-to-peak interval adjustment method according to a second embodiment of the present invention;
FIG. 3a is a diagram showing a first effect of the peak-to-peak interval adjustment method according to the second embodiment of the present invention;
FIG. 3b is a diagram showing a second effect of the peak-to-peak interval adjustment method according to the second embodiment of the present invention;
FIG. 4 is an interaction schematic diagram of a dynamic adjustment peak-shifting strategy for terminal and platform interactions in a second embodiment of the present invention;
FIG. 5 is a schematic diagram of a peak-to-peak interval adjustment device according to a third embodiment of the present invention;
fig. 6 is a schematic structural diagram of a peak-to-peak interval adjusting device according to a fourth embodiment of the present invention.
Detailed Description
The invention will be described in further detail with reference to the accompanying drawings and specific examples.
Example 1
Fig. 1 is a schematic flow chart of an implementation of a peak-to-peak interval adjustment method according to a first embodiment of the present invention, as shown in fig. 1, the method includes the following steps:
step 101: determining a service reporting period of reporting service;
when the terminal reports the service to the server, the service reporting period comprises 5 minutes, 10 minutes, 30 minutes, 1 hour, half a day and the like. The server can determine the service reporting period of the reported service according to the time interval of the service reported by the terminal to the server.
Step 102: receiving service processing parameters sent by a server;
after the terminal is started, detecting the binding state of the terminal, and binding the terminal and the server if the terminal detects that the binding state of the terminal is unbound; when the terminal detects that the binding state of the terminal is binding, the terminal sends a message to the server to inform the server that the terminal does not acquire the service processing parameters. After receiving the message sent by the terminal, the server sends the service processing parameters to the terminal, and the terminal receives the service processing parameters sent by the server.
Here, the terminal may also be a terminal that registers access, where the terminal that registers access does not need to bind with the server, and after the terminal registers on the server, the terminal may directly send a message to inform the server that the terminal does not obtain the service processing parameters.
The service processing parameters received by the terminal may include: parameters related to business processing such as total number of terminals, terminal number, unit granularity, increment step and the like. The total number of the terminals is the total number of the terminals in butt joint of the current server; the terminal number is the number allocated by the server for each terminal when the terminal and the server bind or reply to the first service message; the unit granularity represents the number of groups of concurrent terminals processed by the server in unit time, and the increment step is used for determining the increment of the time window; here, the unit granularity is used to describe how many groups of concurrent terminals can be processed in a unit time of the server, so as to determine the minimum interval granularity of the server reported by the terminal, wherein the number of the concurrent terminals in one group depends on the maximum number of the terminals which can be processed simultaneously by the server, and the concurrent terminals in one group are terminals which are processed simultaneously by the server.
It should be noted that, after the terminal is bound with the server or the terminal is registered in the server, the server may send the service processing parameters according to the received message of the terminal, and the server may also automatically issue the service processing parameters to the terminal.
Step 103: determining the time window offset of the reporting service according to the service reporting period and the service processing parameters;
when the terminal reports the service to the server, a fixed service reporting period is adopted, for example: and 5 minutes, if the time of the first reporting of the terminal is 9:10, reporting the terminal in a centralized manner in a fixed service reporting period of 9:10, 9:15 and the like, so that the number of the terminals which are concurrent at the fixed reporting time point is increased sharply.
In an embodiment, when the service reporting period is a first reporting period, the first reporting period is one reporting period among reporting periods supported by the terminal device; the service processing parameters include: the first total number of terminals, the terminal number and the unit granularity; the unit granularity represents the group number of concurrent terminals processed by the server in unit time, and the first total number of terminals represents the number of terminals processed by the server; the terminal number is the number of the first terminal; correspondingly, determining the time window offset of the reporting service according to the service reporting period and the service processing parameter: determining the granularity of a time window according to the first reporting period and the unit granularity; determining a first time factor according to the total number of the first terminals and the time window granularity; determining the time window increment according to the terminal number, the time window granularity and the first time factor; and determining the time window offset according to the time window increment and the unit granularity in the service processing parameter.
When the service reporting period is the first reporting period, the service processing parameters received by the terminal include: the first total number of terminals, the terminal number and the unit granularity; the total number of the first terminals is the number of the terminals of the access server, wherein the service reporting period is the first reporting period. Here, the first total number of terminals is transmitted to the terminals by the server.
Multiplying the first reporting period by the unit granularity to obtain time window granularity, and rounding the result of dividing the total number of the first terminals by the time window granularity to obtain a first time factor; the terminal number minus the product of the time window granularity and the first time factor yields the time window increment.
Such as: the first reporting period is 5 minutes, the unit granularity is 10, the characterization server can process 10 groups of concurrent terminals for 1 second, namely, a group of terminals can be processed concurrently every 100 milliseconds, the total number of the first terminals is 3200, the terminal number is 4257, and the unit of the first reporting period is that: converting the minutes into seconds, namely, the first reporting period is 300 seconds, multiplying the first reporting period by the unit granularity 10 for 300 seconds to obtain a time window granularity of 3000, dividing the total number of the first terminals by the time window granularity of 3000, and rounding the results to obtain a first time factor of 1; the time window granularity 3000 is multiplied by the first time factor 1 to obtain a result of 3000, and the terminal number 4257 subtracts 3000 to obtain a time window increment of 1257.
After the time window increment is obtained, dividing the time window increment by the unit granularity in the business processing parameter, and converting the unit into minutes to obtain the time window offset.
Such as: as in the above example, a time window increment of 1257, a unit granularity of 10, and a time window offset of 700 milliseconds of 2 minutes 5 seconds were obtained.
It should be noted that, the first reporting period may be any one of service reporting periods, for example: the reporting period may be determined according to a set policy, such as a minimum reporting period or a maximum reporting period, for example, in any of 5 minutes, 10 minutes, 30 minutes, and 1 hour, or half a day.
In an embodiment, when the service reporting period includes a second reporting period and a third reporting period, the service processing parameter includes: terminal number and unit granularity; the second reporting period is smaller than the third reporting period; the determining the time window offset of the reporting service according to the service reporting period and the service processing parameter includes: determining the total number of the second terminals and the increment steps; determining a time window offset corresponding to the second reporting period according to the unit granularity, the total number of the second terminals and the terminal number; and determining the time window offset according to the time window offset, the increment step and the second reporting period.
When the service reporting period includes a second reporting period and a third reporting period, the service processing parameters received by the terminal include: terminal number and unit granularity. Here, the second reporting period is smaller than the third reporting period.
When determining the time window offset of the reporting service according to the service reporting period and the service processing parameter, firstly determining the total number of the second terminals, determining the time window offset corresponding to the second reporting period according to the received unit granularity, the terminal number and the determined total number of the second terminals, then determining the increment step according to the second reporting period and the third reporting period, and finally determining the time window offset according to the time window offset, the increment step and the second reporting period.
Here, the second total number of terminals needs to be determined by calculation.
In an embodiment, the service processing parameters further include: the first terminal number corresponding to the second reporting period and the second terminal number corresponding to the third reporting period; accordingly, the determining the total number of the second terminals includes: determining multiple parameters according to the second reporting period and the third reporting period; and determining the total number of the second terminals according to the first terminal number, the second terminal number and the multiple parameter.
When the service reporting period comprises a second reporting period and a third reporting period, the service processing parameters received by the terminal also comprise the first terminal number corresponding to the second reporting period and the second terminal number corresponding to the third reporting period.
The multiple parameter is determined by the second reporting period and the third reporting period. The total number of the second terminals can be determined by the first terminal number corresponding to the second reporting period and the second terminal number corresponding to the third reporting period and the multiple parameters; the third reporting period is divided by the second reporting period to obtain a multiple parameter, and the total number of the second terminals is obtained by dividing the first terminal number corresponding to the second reporting period plus the second terminal number corresponding to the third reporting period by the multiple parameter.
Such as: the second reporting period is 5 minutes, the number of first terminals corresponding to the second reporting period is 2000, the third reporting period is 10 minutes, the number of second terminals corresponding to the third reporting period is 3600, the multiple parameter is 2 obtained by dividing the third reporting period by the second reporting period for 10 minutes and 5 minutes, 1800 is obtained by dividing the second terminal number corresponding to the third reporting period by the multiple parameter 2, and the total number of second terminals is 3800 obtained by adding the first terminal number 2000 corresponding to the second reporting period.
In an embodiment, the determining the time window offset corresponding to the second reporting period according to the unit granularity, the total number of the second terminals, and the terminal number includes: determining the granularity of a time window according to the second reporting period and the unit granularity; determining a second time factor according to the total number of the second terminals and the time window granularity; determining a time window increment corresponding to the second reporting period according to the terminal number, the time window granularity and the second time factor; and determining the time window offset according to the time window increment and the unit granularity.
When the service reporting period comprises a second reporting period and a third reporting period, after the total number of the determined second terminals is obtained, determining a time window increment corresponding to the second reporting period according to the received unit granularity, the terminal number and the determined total number of the second terminals, and determining a time window offset according to the time window increment and the unit granularity.
Multiplying the second reporting period by the unit granularity to obtain time window granularity, and rounding the result of dividing the determined total number of the second terminals by the time window granularity to obtain a second time factor; and subtracting the product of the time window granularity and the second time factor from the received terminal number to obtain a time window increment, dividing the time window increment by the unit granularity, and converting the unit into minutes to obtain the time window offset.
Such as: the second reporting period is 5 minutes, the third reporting period is 10 minutes, the unit granularity is 10, the total number of the second terminals is 3800, the terminal number is 4268, and the unit of the second reporting period is that: converting the minutes into seconds, namely, multiplying the second reporting period by the unit granularity 10 for 300 seconds, obtaining a time window granularity of 3000, dividing the total number of the second terminals 3800 by the time window granularity of 3000, and rounding the results to obtain a second time factor of 1; the time window granularity 3000 is multiplied by the second basic factor 1 to obtain a result of 3000, the terminal number 4268 is used for subtracting 3000 to obtain a time window increment of 1268, and the time window increment 1268 is divided by the unit granularity of 10 to obtain a time window offset of 800 milliseconds of 2 minutes 6 seconds.
In an embodiment, the determining the incremental steps includes: determining multiple parameters according to the second reporting period and the third reporting period; subtracting 1 from the multiple parameter to obtain the increment step.
After the time window offset is determined, the incremental steps are determined according to the second reporting period and the third reporting period. Here, the incremental steps may be obtained by dividing the third reporting period by the second reporting period (i.e., the multiple parameter) minus 1. Such as: the second reporting period is 5 minutes, the third reporting period is 10 minutes, the obtained multiple parameter is 2, and the increment step is 1 after the multiple parameter 2 is reduced by 1.
It should be noted that, the incremental steps may be calculated and determined by the terminal side, or may be sent to the terminal by the server, and when the server detects that the service reporting period of the terminal includes multiple types of service reporting periods after the terminal is bound to the server, for example: including 5 minutes and 10 minutes. And the server sends the increment steps to the terminal according to the actual application condition.
And adding the result obtained by multiplying the determined increment step by the second reporting period with the time window offset to obtain the time offset.
Such as: in the same way, the time window offset is 800 milliseconds of 2 minutes and 6 seconds, the increment step is 1, the second reporting period is 5 minutes, the increment step is 1 and the second reporting period is multiplied by 5 minutes to obtain 5 minutes, and the time window offset is obtained by adding the 5 minutes to the time window offset of 2 minutes and 6 seconds and 800 milliseconds to obtain the time window offset of 7 minutes and 6 seconds and 800 milliseconds.
Based on the service sending time, the service reporting time can be determined according to the service reporting period and the time window offset.
Such as: when the service reporting period is the first reporting period, the first reporting period is 5 minutes, and the terminal corresponding to the first reporting period reports the service according to the time points of 9:10 and 9:15 … … at intervals of 5 minutes, and the time window offset is 700 milliseconds of 2 minutes and 5 seconds, so that the obtained service reporting time is 700 milliseconds of 9 minutes and 5 seconds of 12 minutes and 5 seconds of 9 minutes and 5 seconds of 17 minutes and 5 seconds of 700 milliseconds … …. And, for example: when the service reporting period is a second reporting period and a third reporting period, the second reporting period is 5 minutes, the third reporting period is 10 minutes, the terminal corresponding to the second reporting period reports the service according to the time points of 5 minutes at intervals of 8:10 and 8:15 … …, the time window offset corresponding to the second reporting period is 800 milliseconds of 2 minutes 6 seconds, and the obtained service reporting time is 800 milliseconds of 8 minutes 6 seconds 12 minutes 6 seconds and 800 milliseconds of 17 minutes 6 seconds 800 milliseconds … …; and the time window offset corresponding to the third reporting period is 7 minutes, 6 seconds and 800 milliseconds, and the obtained service reporting time is 8 minutes, 6 seconds and 800 milliseconds at 17 points, 800 milliseconds at 6 seconds and 800 milliseconds at 22 minutes and 800 milliseconds at 22 points … ….
In the embodiment of the invention, a service reporting period of reporting service is determined; receiving service processing parameters sent by a server; determining the time window offset of the reporting service according to the service reporting period and the service processing parameters; therefore, the peak staggering interval of the terminal can be dynamically adjusted from the cooperation angle of the terminal and the server, so that the reporting efficiency is improved.
Example two
The embodiment of the invention provides a peak-staggering interval adjustment method through a specific scene of peak-staggering reporting in a peak-staggering system comprising a terminal and a server. Here, the platform corresponds to the server in the first embodiment.
Aiming at the service characteristics of the Tracker class and the like needing to periodically send data to the platform, the embodiment of the invention provides a data reporting peak-shifting scheme which is cooperated by the terminal and the platform. The terminal side starts to connect or bind with the platform for the first time after leaving the factory, and meanwhile obtains the current number of users of the platform and the processing capacity of the platform (the processing capacity of the platform is the capacity of the platform for processing a group of terminals under the condition of the maximum concurrency capacity, but not the concurrency processing capacity of the platform) and the like. In addition, as the terminals continue to deliver goods, the platform can determine adjustment and issuing of the concurrency policy parameters of the terminals according to the number of the accessed terminals, the set service period interval and the concurrency processing capacity, so that the reporting time points of the terminals are dynamically adjusted, and the data reporting time points of different terminals are maximally dispersed under the condition that the number of the terminals is continuously increased as much as possible so as to improve the reporting efficiency.
The embodiment can be applied to a terminal using a low-power-consumption wide area network technology, and the solution of the Internet of things with a fixed service reporting period and a shorter service reporting interval is more urgent for the solution, and can be popularized in other scenes which are not low-power-consumption wide area networks but have shorter service reporting intervals.
As shown in fig. 2, some parameters are added between the data transferred between the terminal and the application platform, and the parameters are added into the response message of the platform to the terminal, so that no more additional message interaction is brought, and the parameters are used for the platform to uniformly adjust the parameter reporting time point of the terminal, so that a dynamic peak staggering adjustment is achieved according to the current actual capacity of the platform, and the overall data reporting efficiency is improved.
An embodiment of adjusting terminal peak-shifting data transmission by the platform is described below.
Peak-shifting data transmission idea
The terminal side fixedly divides a certain time period into uniform time windows according to service sending intervals, and calculates the time displacement of the terminal in the time windows according to a certain algorithm, so as to determine the sending time of the terminal in each time window, for example: taking Tracker as an example, the most common Tracker service scenario at present is 24 hours data transmission default 5 minutes reporting service interval in the whole day:
First,: the 1 day 24 hours are divided into (60/5) 12=288 uniform time intervals at 5 minute intervals, 5 minute intervals being TimeWindow, as shown in fig. 3 a.
Secondly: the algorithm for calculating the time window within the time window delta (TimeWindowDelta), the time window delta, is described below.
After the terminal is powered on for the first time, the terminal is interacted with the platform to be bound with the device, basic parameters of the platform are added to the terminal in a message bound with the device, such as the number of users to which the platform is connected currently, the processing capacity of the platform and the like, after the terminal receives the parameters, a time window delta is calculated, a basic service time window is combined, the service period of the terminal is fixed and is discrete with other terminals, the time point of the terminal for reporting the service is shown in fig. 3a, the time window delta is determined, the time window delta is added to the time point of the reporting service for reporting the service, as shown in fig. 3b, the time window delta of the terminal 1 is 1 minute and 36 seconds, the time window delta of the terminal 2 is 2 minutes and 21 seconds, the two terminals can send data according to the time window delta of the terminal 1, and the reporting time point of the terminal 2 are shown in fig. 3 b.
It should be noted that, since the platform processing is on the order of tens of milliseconds, the seconds are only examples here, and the overall peak-staggering strategy needs to consider the concurrency capability of the platform and the number of terminals that have been accessed currently.
Secondly, dynamically adjusting peak staggering strategy by interaction of terminal and platform
The terminal and platform interaction dynamic adjustment peak-shifting strategy interaction diagram is shown in fig. 4, and the parameters related to calculation are shown in table 2-1.
Table 2-1 examples of parameters involved in the off-peak algorithm
Step 401: after the terminal is started, the binding state is read first, and if the terminal is not bound, the terminal can not send data with the platform, so that the terminal is bound with the platform according to the general flow of the tracker. If the terminal is a terminal which is bound in advance, for example, the binding of the IOT platform in the NB-IOT, directly sending data, informing the platform that the platform does not acquire the platform parameter information, and waiting for the platform to issue;
it should be noted that, for the terminal that does not need binding, according to the peak staggering concept of the present invention, there may be a traffic interval where the first data transmission and the second time interval are not specified, but in order to achieve peak staggering, the difference of this time has no influence on experience.
Step 402: when the Terminal and the platform bind or reply to the first service message, the platform sequentially allocates a Terminal ID for peak staggering for each Terminal, and simultaneously returns the number of terminals that the current platform has bound (for the Terminal type that needs to be bound) or registered access (for the Terminal type that directly sends data) and the processing capacity of the platform as parameters to the Terminal. Some terminals can delete the binding in the using process, new terminal binding is carried out subsequently, and deleted terminal IDs are used, so that the number of users currently bound can be fed back as truly as possible, and the existing data peak-staggering points are not wasted;
Step 403: the Terminal calculates new TimeWindowDelta according to the total amount of the terminals which are registered currently, the Terminal ID and the PFProcessability.
1) Firstly, calculating the granularity which can be allocated to a terminal time window, assuming that the concurrency capacity of a system is 10 (PFConcurrentNum) and is finished within ten milliseconds (the level of more reasonable AWS default synchronous processing cost), taking other time into consideration, and taking the allowance into consideration, completing a terminal service in 100ms under the maximum concurrency, namely splitting 10 granularities for 1 second, and under the condition that the granularity is not repeated in one TimeWindodw, taking 5 minutes as a service interval, aiming at the example AbilityofTimeWindow as 3000; if the concurrency capability is 5 per second, abilityofTimeWindow is 1500.
2) Calculating an access factor:
TimesofBasicfactor＝Interger(TotalNum/AbilityofTimeWindow)；
namely, under the condition that the service interval is based on the total number of platform accesses, a basic factor is calculated according to the formula, the value is rounded, when the obtained access factor is larger than 1, a plurality of terminals at some time points 'TimeSofBasicface' are used as services, if 780 access terminals are used as an example, timeSofBasicface is 0, the number of access terminals is 3200, and TimeSofBasicface is 1.
3)TimeWindowDelta＝
Terminal ID-AbilityofTimeWindow*TimesofBasicfactor，
From the calculated values, a time window delta is calculated, based on the example above, terminal number 1257, timeWindowDelta 1257, terminal number 3780, timeWindowDelta 780.
4) Calculating a specific sending time SendTimeDelta: the corresponding time of TimeWindowDelta is converted into TimeWindowDelta/PFProcessability, the result is an integer of seconds, the remainder is milliseconds, if TimeWindowDelta is 1257, the time point SendTimeDelta corresponding to the terminal sending data time window delta is 2 minutes 5 seconds 700 milliseconds if the platform processing capability is 10, but the corresponding time is 4 minutes 11 seconds 400 milliseconds if the platform processing capability is 5.
Step 404: and after calculating the time point of specific transmission of each time window by using parameters fed back by the platform, continuously transmitting according to the rule.
Step 405: depending on the concurrency capability of the platform, it is acknowledged whether the time window delta needs to be adjusted and recalculated, typically the initial platform capability has been issued to the terminal, but considering that the number of terminals initially accessed to the platform is not as large, the data can be sent more discretely, so the initial pfprocessabilities are set to 1 or 2,
when TotalNum exceeds the number of TimeWindow pfprocessabilities timesoftprimary, parameters are adjusted, and the adjusted policy can consider the speed increase of the number of terminals and the terminal data discarded by the judging platform.
It should be noted that, theoretically, when TimeSofBasicface > PFConcurrentNum, the risk of the concurrent packet loss of the platform increases, but this factor is related to many factors, and the overall network situation needs to be comprehensively considered to make an optimization, so as to see whether the concurrency capability of the server needs to be improved, which is not in the scope of the present invention.
Step 406: informing the terminal of the latest policy parameters, including PFProcessAbility, totalNum;
step 407: the terminal calculates new transmission parameters according to the new parameters and the method of the step 3;
step 408: and the terminal performs data interaction according to the new rule and the platform.
Third, service period changes
The above steps describe peak staggering strategies based on the basic service period, i.e. the period of each terminal is fixed, but some terminals change the service reporting period, and when the service period is considered, adjustment is needed based on the second part of algorithm. This section describes the parameters involved in considering the traffic cycle variation case based on the TimeWindowDelta of the second section as shown in table 2-2.
Table 2-2 parameter example two related to the peak-shifting algorithm
Typically, the fixed service reporting period is a certain period, usually 5 minutes, 10 minutes, 30 minutes, 1 hour, and several options of half a day, for which the terminal and the platform are known, so the TimeWindowDelta described in the second section is also calculated according to the minimum service interval, but the adjustment is made for the reported terminals of TotalNum and non-minimum service intervals.
Step 1: mixtotalnum=totalnumlevel1+totalnumleve2/timesoftinteral2+ in the mixed traffic mode is calculated. TimesoftInterval (multiple of the current traffic reporting period over the minimum reporting period) =ReportInterval/Interval Min;
step 2: calculating a terminal TimeWindowDelta of the minimum service interval, wherein the calculating mode is described by referring to the second part, the TotalNum is the newly calculated MixTotalNum, and other parameters are unchanged;
step 3: calculate TimeWindowDelta for other longer period traffic intervals: in step 1, the multiple reduction is performed on the terminal with a long service period, when the TimeWindow delta is calculated, part of the TimeWindow delta is sent according to the second part of the minimum service interval, the rest of the TimeWindow delta is distributed to the next or next several timewindows according to the service multiple, and the distributed rule is issued by the platform, because the terminal does not know how many terminals are currently in the same service interval with the terminal, the parameter issued by the platform needs to be further provided with a TimeWindow delta step, the platform equally divides the terminal under the service level into the TimeWindow delta according to the service period level of the terminal, when the TimeWindow delta step is 0, the calculated TimeWindow delta is the second part of calculation result, and when the TimeWindow delta step is not 0, the TimeWindow delta is added on the basis of the calculated TimeWindow delta.
Such as: the current traffic cycle is 10 minutes, and when calculating the total number of terminals, this class of terminals is halved, or taking the second portion 1257 off-peak ID as an example, timeWindowDeltaDelta2 minutes 5 seconds 700 milliseconds, if the platform TimeWindowDeltaStep is 0, then SendTimeDeltaSteps is 2 minutes 5 seconds 700 milliseconds, but if TimeWindowDeltaStep is 1, sendTimeDeltaDelta is 7 minutes 5 seconds 700 milliseconds.
It should be noted that, the policy described in the third section refers to different service periods, that is, additional processing is performed for different service periods, where the policy may consider that only the algorithm of the second section is used when the number of terminals is relatively small or the number of terminals is insufficient, that is, timeSofBasicface < PFConcurrentNum.
The embodiment of the invention introduces a method for transmitting peak staggering data of the cooperation of the terminal and the platform, relieves the concurrent pressure of the platform, and can better adapt to the benefits brought by network expansion under the condition of expanding the capacity of the platform in the future, so that the terminal can transmit data more efficiently under the condition of not upgrading, and the Internet of things can be more flexible on a terminal model with limited resources or more frequent service period transmission.
The embodiment of the invention can be applied to the following scenes:
1) Along with the rapid development of the internet of things, more and more terminals are connected to the network, the application and use scenes of the terminal and the application platform are more and more, the deployment of the terminal develops along with the development of industry/industry, the traditional static peak staggering can not meet the application scenes of a large number of terminals of the internet of things, and the embodiment of the invention can better meet the requirement of the industry of the internet of things by adopting a dynamically adjusted peak staggering mode.
2) At present, many terminals of the Internet of things adopt low-power-consumption wide area networks, the resources of the networks are very limited, the low power consumption of the terminals is also a very important measurement index, and the terminals are enabled to save electricity as much as possible by adopting a high-efficiency peak shifting mode (effectively reducing data retransmission), so that the possibility of wireless network interference is reduced from the self.
The embodiment of the invention can be used on the current Tracker project, but the solution can be considered to uniformly report and coordinate the peak staggering of the terminals in the NB-IOT area by considering that the power rise of the access of other peripheral NB-IOT terminals is influenced when a street lamp in the NB-IOT network is on line, so that the access efficiency of the NB-IOT network is improved.
Example III
The present embodiment provides a peak-to-peak interval adjustment device, as shown in fig. 5, the peak-to-peak interval adjustment device 50 includes: a first determination module 51, a receiving module 52 and a second determination module 53; wherein, the liquid crystal display device comprises a liquid crystal display device,
A first determining module 51, configured to determine a service reporting period for reporting a service;
a receiving module 52, configured to receive a service processing parameter sent by the server;
and a second determining module 53, configured to determine a time window offset of the reporting service according to the service reporting period and the service processing parameter.
In an embodiment, when the service reporting period is a first reporting period, the first reporting period is one reporting period among reporting periods supported by the terminal device; the service processing parameters include: the first total number of terminals, the terminal number and the unit granularity; the unit granularity represents the group number of concurrent terminals processed by the server in unit time, and the first total number of terminals represents the number of terminals processed by the server; the terminal number is the number of the first terminal; accordingly, the second determining module 53 is specifically configured to: determining the granularity of a time window according to the first reporting period and the unit granularity; determining a first time factor according to the total number of the first terminals and the time window granularity; determining the time window increment according to the terminal number, the time window granularity and the first time factor; and determining the time window offset according to the time window increment and the unit granularity in the service processing parameter.
In an embodiment, when the service reporting period includes a second reporting period and a third reporting period, the service processing parameter includes: terminal number and unit granularity; the second reporting period is smaller than the third reporting period; the second determining module 53 is specifically configured to: determining the total number of the second terminals and the increment steps; determining a time window offset corresponding to the second reporting period according to the unit granularity, the total number of the second terminals and the terminal number; and determining the time window offset according to the time window offset, the increment step and the second reporting period.
In an embodiment, the service processing parameters further include: the first terminal number corresponding to the second reporting period and the second terminal number corresponding to the third reporting period; accordingly, the second determining module 53 determines the second total number of terminals includes: determining multiple parameters according to the second reporting period and the third reporting period; and determining the total number of the second terminals according to the first terminal number, the second terminal number and the multiple parameter.
In an embodiment, the second determining module 53 is further configured to determine, according to the unit granularity, the total number of the second terminals, and the terminal number, a time window offset corresponding to the second reporting period, where the determining includes: determining the granularity of a time window according to the second reporting period and the unit granularity; determining a second time factor according to the total number of the second terminals and the time window granularity; determining a time window increment corresponding to the second reporting period according to the terminal number, the time window granularity and the second time factor; and determining the time window offset according to the time window increment and the unit granularity.
In one embodiment, the second determination module 53 determines the incremental steps includes: determining multiple parameters according to the second reporting period and the third reporting period; subtracting 1 from the multiple parameter to obtain the increment step.
It should be noted that: in the foregoing embodiment, the peak-to-peak interval adjustment device is only exemplified by the division of the program modules when reporting, and in practical application, the processing allocation may be performed by different program modules according to needs, i.e., the internal structure of the device is divided into different program modules, so as to complete all or part of the processing described above. In addition, the peak-to-peak interval adjustment device and the peak-to-peak interval adjustment method provided in the foregoing embodiments belong to the same concept, and detailed implementation processes of the peak-to-peak interval adjustment device and the peak-to-peak interval adjustment method are shown in the method embodiments, and are not repeated here.
Example IV
Based on the foregoing embodiments, an embodiment of the present invention provides a peak-to-peak interval adjustment apparatus, as shown in fig. 6, including a processor 602 and a memory 601 for storing a computer program capable of running on the processor 602; wherein the processor 602 is configured to, when executing the computer program, implement:
Determining a service reporting period of reporting service;
receiving service processing parameters sent by a server;
and determining the time window offset of the reporting service according to the service reporting period and the service processing parameters.
The method disclosed in the above embodiment of the present invention may be applied to the processor 602 or implemented by the processor 602. The processor 602 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the method described above may be performed by integrated logic circuitry in hardware or instructions in software in the processor 602. The processor 602 described above may be a general purpose processor, DSP, or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. The processor 602 may implement or perform the methods, steps, and logic blocks disclosed in embodiments of the present invention. The general purpose processor may be a microprocessor or any conventional processor or the like. The steps of the method disclosed in the embodiment of the invention can be directly embodied in the hardware of the decoding processor or can be implemented by combining hardware and software modules in the decoding processor. The software modules may be located in a storage medium in the memory 601, and the processor 602 reads information in the memory 601 and performs the steps of the method described above in connection with its hardware.
It will be appreciated that the memory (memory 601) of embodiments of the invention can be either volatile memory or nonvolatile memory, and can include both volatile and nonvolatile memory. Wherein the nonvolatile Memory may be Read Only Memory (ROM), programmable Read Only Memory (PROM, programmable Read-Only Memory), erasable programmable Read Only Memory (EPROM, erasable Programmable Read-Only Memory), electrically erasable programmable Read Only Memory (EEPROM, electrically Erasable Programmable Read-Only Memory), magnetic random access Memory (FRAM, ferromagnetic random access Memory), flash Memory (Flash Memory), magnetic surface Memory, optical disk, or compact disk Read Only Memory (CD-ROM, compact Disc Read-Only Memory); the magnetic surface memory may be a disk memory or a tape memory. The volatile memory may be random access memory (RAM, random Access Memory), which acts as external cache memory. By way of example, and not limitation, many forms of RAM are available, such as static random access memory (SRAM, static Random Access Memory), synchronous static random access memory (SSRAM, synchronous Static Random Access Memory), dynamic random access memory (DRAM, dynamic Random Access Memory), synchronous dynamic random access memory (SDRAM, synchronous Dynamic Random Access Memory), double data rate synchronous dynamic random access memory (ddr SDRAM, double Data Rate Synchronous Dynamic Random Access Memory), enhanced synchronous dynamic random access memory (ESDRAM, enhanced Synchronous Dynamic Random Access Memory), synchronous link dynamic random access memory (SLDRAM, syncLink Dynamic Random Access Memory), direct memory bus random access memory (DRRAM, direct Rambus Random Access Memory). The memory described by embodiments of the present invention is intended to comprise, without being limited to, these and any other suitable types of memory.
It should be noted here that: the description of the terminal embodiment is similar to the description of the method, and has the same beneficial effects as those of the method embodiment, so that a detailed description is omitted. For technical details not disclosed in the terminal embodiments of the present invention, those skilled in the art will understand with reference to the description of the method embodiments of the present invention, and the details are not repeated here for the sake of economy.
Example five
In an exemplary embodiment, the present invention also provides a computer storage medium, in particular a computer readable storage medium, for example comprising a memory 601 storing a computer program, which may be processed by a processor 602 to perform the steps of the method described above. The computer readable storage medium may be FRAM, ROM, PROM, EPROM, EEPROM, flash Memory, magnetic surface Memory, optical disk, or CD-ROM.
The embodiment of the present invention also provides a computer-readable storage medium having stored thereon a computer program which, when processed by a processor, implements:
determining a service reporting period of reporting service;
receiving service processing parameters sent by a server;
and determining the time window offset of the reporting service according to the service reporting period and the service processing parameters.
It should be noted here that: the description of the embodiment items of the computer medium, similar to the description of the method described above, has the same advantageous effects as those of the embodiment of the method, and thus will not be repeated. For technical details not disclosed in the terminal embodiments of the present invention, those skilled in the art will understand with reference to the description of the method embodiments of the present invention, and the details are not repeated here for the sake of economy.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the present invention.
Claims (9)
1. A method for adjusting peak-to-peak intervals, applied to a terminal device, the method comprising:
determining a service reporting period of reporting service;
receiving service processing parameters sent by a server, wherein the service processing parameters at least comprise terminal numbers and unit granularity, the unit granularity represents the number of groups of concurrent terminals processed by the server in unit time, and the terminal numbers are numbers allocated to each terminal by the server when the terminal and the server bind or reply to a first service message;
determining the time window offset of the reporting service according to the service reporting period and the service processing parameters;
When the service reporting period comprises a second reporting period and a third reporting period, the second reporting period is smaller than the third reporting period;
the determining the time window offset of the reporting service according to the service reporting period and the service processing parameter includes:
determining the total number of the second terminals and the increment steps;
determining a time window offset corresponding to the second reporting period according to the unit granularity, the total number of the second terminals and the terminal number;
and determining the time window offset according to the time window offset, the increment step and the second reporting period.
2. The method for adjusting peak-to-peak intervals according to claim 1, wherein when the service reporting period is a first reporting period, the first reporting period is one of reporting periods supported by the terminal device; the service processing parameters include: the first total number of terminals, the terminal number and the unit granularity; the unit granularity represents the group number of concurrent terminals processed by the server in unit time, and the first total number of terminals represents the number of terminals processed by the server; the terminal number is the number of the first terminal;
Correspondingly, the determining the time window offset of the reporting service according to the service reporting period and the service processing parameter includes:
determining the granularity of a time window according to the first reporting period and the unit granularity;
determining a first time factor according to the total number of the first terminals and the time window granularity;
determining the time window increment according to the terminal number, the time window granularity and the first time factor;
and determining the time window offset according to the time window increment and the unit granularity in the service processing parameter.
3. The method for peak-to-peak interval adjustment according to claim 1, wherein the service processing parameters further include: the first terminal number corresponding to the second reporting period and the second terminal number corresponding to the third reporting period;
accordingly, the determining the total number of the second terminals includes:
determining multiple parameters according to the second reporting period and the third reporting period;
and determining the total number of the second terminals according to the first terminal number, the second terminal number and the multiple parameter.
4. The method for adjusting the peak-to-peak interval according to claim 1, wherein determining the time window offset corresponding to the second reporting period according to the unit granularity, the total number of the second terminals, and the terminal number includes:
Determining the granularity of a time window according to the second reporting period and the unit granularity;
determining a second time factor according to the total number of the second terminals and the time window granularity;
determining a time window increment corresponding to the second reporting period according to the terminal number, the time window granularity and the second time factor;
and determining the time window offset according to the time window increment and the unit granularity.
5. The peak-to-peak interval adjustment method according to claim 1, wherein said determining an incremental step includes:
determining multiple parameters according to the second reporting period and the third reporting period;
subtracting 1 from the multiple parameter to obtain the increment step.
6. A peak-to-peak interval adjustment apparatus, the apparatus comprising: a first determination module (51), a receiving module (52) and a second determination module (53); wherein, the liquid crystal display device comprises a liquid crystal display device,
the first determining module (51) is configured to determine a service reporting period for reporting a service;
the receiving module (52) is configured to receive a service processing parameter sent by a server, where the service processing parameter includes at least a terminal number and a unit granularity, the unit granularity characterizes a group number of concurrent terminals processed by the server in unit time, and the terminal number is a number allocated by the server for each terminal when the terminal and the server bind or reply to a first service message;
The second determining module (53) is configured to determine a time window offset of the reporting service according to the service reporting period and the service processing parameter;
when the service reporting period comprises a second reporting period and a third reporting period, the second reporting period is smaller than the third reporting period;
the determining the time window offset of the reporting service according to the service reporting period and the service processing parameter includes:
determining the total number of the second terminals and the increment steps;
determining a time window offset corresponding to the second reporting period according to the unit granularity, the total number of the second terminals and the terminal number;
and determining the time window offset according to the time window offset, the increment step and the second reporting period.
7. The peak-to-peak interval adjustment apparatus according to claim 6, wherein when the service reporting period is a first reporting period, the first reporting period is one of reporting periods supported by a terminal device; the service processing parameters include: the first total number of terminals, the terminal number and the unit granularity; the unit granularity represents the group number of concurrent terminals processed by the server in unit time, and the first total number of terminals represents the number of terminals processed by the server; the terminal number is the number of the first terminal; correspondingly, the second determining module (53) is specifically configured to:
Determining the granularity of a time window according to the first reporting period and the unit granularity;
determining a first time factor according to the total number of the first terminals and the time window granularity;
determining the time window increment according to the terminal number, the time window granularity and the first time factor;
and determining the time window offset according to the time window increment and the unit granularity in the service processing parameter.
8. A peak-to-peak interval adjustment apparatus comprising a processor and a memory for storing a computer program capable of running on the processor; wherein the processor is adapted to perform the steps of the method of any of claims 1 to 5 when the computer program is run.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any one of claims 1 to 5.
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| CN112887222A (en) * | 2021-01-08 | 2021-06-01 | 珠海格力电器股份有限公司 | Data reporting method and device, storage medium and electronic equipment |
| CN113012415A (en) * | 2021-02-07 | 2021-06-22 | 新天科技股份有限公司 | Discrete method, device, server and storage medium for uploading wrong peaks of tables of NB-IoT (NB-IoT) |
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