CN109168191A - Terminal handler adjusting method and terminal handler regulating device - Google Patents
Terminal handler adjusting method and terminal handler regulating device Download PDFInfo
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- CN109168191A CN109168191A CN201811055792.7A CN201811055792A CN109168191A CN 109168191 A CN109168191 A CN 109168191A CN 201811055792 A CN201811055792 A CN 201811055792A CN 109168191 A CN109168191 A CN 109168191A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/02—Power saving arrangements
- H04W52/0209—Power saving arrangements in terminal devices
- H04W52/0261—Power saving arrangements in terminal devices managing power supply demand, e.g. depending on battery level
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
- H04M1/72454—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
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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
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Abstract
The application provides a kind of terminal handler adjusting method and terminal handler regulating device, is related to processor regulation technology field.This method, comprising: obtain processor parameter u (k-1), the pseudo- local derviation estimative figure at -1 moment of processor parameter u (k-2), the Caton parameter y (k) at kth moment and kth at -2 moment of kth at -1 moment of kthAccording to the processor parameter u (k-1) at -1 moment of kth, the processor parameter u (k-2) at -2 moment of kth, Caton parameter y (k), pseudo- local derviation estimative figureAnd the Caton parameter y (k+1) at preset+1 moment of kth*, using MFA control MFAC algorithm, calculate the pseudo- local derviation estimative figure at kth momentAccording to the pseudo- local derviation estimative figure at the kth momentCalculate the processor parameter u (k) at kth moment；According to the processor parameter u (k) at the kth moment, the actual processor parameter u (k) at kth moment is adjusted.Both solves the problems, such as Caton using the actual processor parameter of optimal processor parameter regulation terminal above by the more excellent processor parameter that the Caton parameter at current time seeks the balance moment, while also compared with power saving, so that terminal using effect optimizes.
Description
Technical field
The present invention relates to processor regulation technology fields, in particular to a kind of terminal handler adjusting method and end
Hold processor regulating device.
Background technique
With popularizing for smart phone, people are higher and higher to the performance requirement of mobile phone, wherein Caton and power consumption problem are aobvious
Must be especially prominent, however the two factors are the relationship of mutual exclusion in most cases.
In the prior art, the consumption for improving mobile phone running memory or central processor CPU etc. is generallyd use, to solve
Caton problem.
But improve mobile phone running memory and increase CPU consumption, the power consumption that will lead to mobile phone is accelerated, to drop significantly
The cruising ability of low mobile phone.
Summary of the invention
It is an object of the present invention in view of the deficiency of the prior art, provide a kind of terminal handler adjusting method
And terminal handler regulating device, to solve the problems, such as that mobile phone Caton and mobile phone wait for that electricity conflicts with each other.
To achieve the above object, the embodiment of the present application the technical solution adopted is as follows:
In a first aspect, the embodiment of the present application provides a kind of terminal handler adjusting method, comprising: obtain -1 moment of kth
Processor parameter u (k-1), the processor parameter u (k-2) at -2 moment of kth, the Caton parameter y (k) and kth -1 at kth moment
The pseudo- local derviation estimative figure at momentWherein k is the integer more than or equal to 3.
When according to the processor parameter u (k-1) at above-mentioned -1 moment of kth, the processor parameter u (k-2) at -2 moment of kth, kth
The Caton parameter y (k) at quarter, the pseudo- local derviation estimative figure at -1 moment of kthAnd the Caton parameter y (k+ at preset+1 moment of kth
1)*, using MFA control MFAC algorithm, calculate the pseudo- local derviation estimative figure at kth moment
According to the processor parameter u (k-1) at above-mentioned -1 moment of kth, the Caton parameter y (k) at kth moment, preset kth+1
The Caton parameter y (k+1) at moment*And the pseudo- local derviation estimative figure at kth momentUsing MFAC algorithm, the kth moment is calculated
Processor parameter u (k), wherein the Caton parameter y (k) at the kth moment is the data that acquire in real time of k moment.
According to the processor parameter u (k) at the kth moment, the actual processor parameter u (k) at kth moment is adjusted.
Further, above-mentioned to use MFA control MFAC algorithm, calculate the pseudo- local derviation estimative figure at kth momentInclude:
Using formulaCalculate the
The pseudo- local derviation estimative figure at k momentWherein, η is step series, and Δ u (k-1) is kth -1, the processor at -2 moment of kth ginseng
The difference of number u (k-1) and u (k-2).
Further, above-mentioned to use MFAC algorithm, calculate the processor parameter u (k) at kth moment, comprising:
Using formulaCalculate the processor parameter u at kth moment
(k), wherein ρ is step series, and λ is weight factor.
Further, above-mentioned processor parameter u (k) includes: the number distribution and every type of different type core in processor
The nuclear frequency of type core；Above-mentioned Caton parameter y (k) includes frame per second and falls frame number.
Further, the Caton parameter y (k+1) at above-mentioned+1 moment of preset kth*Constant is [60,0].
Second aspect, the embodiment of the present application provide a kind of terminal handler regulating device, comprising: obtain module, calculate
Module and determining module.
Module is obtained, for obtaining the processor parameter u (k-1) at -1 moment of kth, the processor parameter u at -2 moment of kth
(k-2), the pseudo- local derviation estimative figure at -1 moment of the Caton parameter y (k) at kth moment and kthWherein k be more than or equal to
3 integer.
Computing module, for being joined according to processor parameter u (k-1), the processor at -2 moment of kth at above-mentioned -1 moment of kth
Number u (k-2), the Caton parameter y (k) at kth moment, the pseudo- local derviation estimative figure at -1 moment of kthAnd preset+1 moment of kth
Caton parameter y (k+1)*, using MFA control MFAC algorithm, calculate the pseudo- local derviation estimative figure at kth moment
According to the processor parameter u (k-1), the Caton parameter y (k) at kth moment, the card at+1 moment of preset kth at above-mentioned -1 moment of kth
Pause parameter y (k+1)*And the pseudo- local derviation estimative figure at kth momentUsing MFAC algorithm, the processor parameter at kth moment is calculated
U (k), wherein the Caton parameter y (k) at kth moment is the data acquired in real time at the k moment.
Determining module adjusts the actual processor parameter u at kth moment for the processor parameter u (k) according to the kth moment
(k)。
Further, computing module is specifically used for:
Using formulaCalculate the
The pseudo- local derviation estimative figure at k momentWherein, η is step series, and Δ u (k-1) is kth -1, the processor at -2 moment of kth ginseng
The difference of number u (k-1) and u (k-2).
Further, computing module is specifically also used to:
Using formulaCalculate the processor parameter u at kth moment
(k), wherein ρ is step series, and λ is weight factor.
Further, processor parameter u (k) includes: number distribution and each type core of different type core in processor
Nuclear frequency；Caton parameter y (k) includes frame per second and falls frame number.
Further, the Caton parameter y (k+1) at above-mentioned+1 moment of preset kth*Constant is [60,0].
The beneficial effect of the application is: by using MFA control MFAC algorithm, according to preset constant cards
Pause parameter value, constructs the balanced relationship of processor parameter and Caton parameter, the Caton parameter acquired in real time using current time
The processor parameter at current time is sought, device parameter is adjusted the actual processor parameter of mobile phone terminal through this process,
So that mobile phone can not Caton, moreover it is possible to relatively power saving.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 is terminal handler adjusting method flow diagram provided by the embodiments of the present application；
Fig. 2 is the timing diagram of terminal handler adjusting method provided by the embodiments of the present application；
Fig. 3 is terminal handler regulating device structural schematic diagram one provided by the embodiments of the present application；
Fig. 4 is terminal handler regulating device structural schematic diagram two provided by the embodiments of the present application.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.
First embodiment
Fig. 1 is terminal handler adjusting method flow diagram provided by the embodiments of the present application, and Fig. 2 is the embodiment of the present application
The timing diagram of the terminal handler adjusting method of offer.
This method can be executed by terminal devices such as mobile phone, tablet computer, computer, server, intelligent TV sets, but not
Concrete restriction.As shown in Figure 1, the terminal handler adjusting method includes:
S101, processor parameter u (k-1), the processor parameter u (k-2) at -2 moment of kth, kth for obtaining -1 moment of kth
The pseudo- local derviation estimative figure at -1 moment of Caton parameter y (k) and kth at momentWherein k is the integer more than or equal to 3.
Specifically, referring to Fig. 2, the period can be divided according to preset time period, i.e. interception a period of time is since the 0th moment
Data are acquired, the kth moment is the kth period.
Wherein, the kth moment can indicate the period where current time.
S102, according to the processor parameter u (k-1) at above-mentioned -1 moment of kth, the processor parameter u (k-2) at -2 moment of kth,
The Caton parameter y (k) at kth moment, the pseudo- local derviation estimative figure at -1 moment of kthAnd the Caton ginseng at preset+1 moment of kth
Number y (k+1)*, using MFA control MFAC algorithm, calculate the pseudo- local derviation estimative figure at kth moment
Specifically, the Caton parameter at preset+1 moment of kthFor guarantee terminal not Caton more excellent Caton ginseng
Number, when the Caton parameter y (k) currently acquired is equal or close to y (k+1)*When, terminal use process is smoothly at this time.
It should be noted that MFAC (Model Free Adaptive control, MFA control) algorithm,
The scale and structure of its network control system are complex, and network environment is all changing at any time, and MFAC algorithm, which relies only on, works as
Preceding online data can control system, can be well adapted for the variation of system.In addition, being carried out using MFAC algorithm
It calculates, control principle is easy to use, and calculation amount is small, and strong robustness, participates in calculating merely with inputoutput data, be not necessarily to
Establish controlled system model.
S103, according to the processor parameter u (k-1) at above-mentioned -1 moment of kth, the Caton parameter y (k) at kth moment, preset
The Caton parameter y (k+1) at+1 moment of kth*And the pseudo- local derviation estimative figure at kth momentUsing MFAC algorithm, when calculating kth
The processor parameter u (k) at quarter, wherein the Caton parameter y (k) at kth moment is the data acquired in real time at the k moment.
It should be noted that the processor parameter u (0) and the processor at the 1st moment at the 0th moment join in the terminal system
Number u (1) is given numerical value, or can also be to pass through the numerical value for acquiring acquisition in real time.In addition, the initial value of pseudo- local derviation estimative figureIt also is given numerical value.
Specifically, Caton parameter y (k) indicates the Caton situation of terminal, and processor parameter u (k) indicates the operation of processor
Load can be come by being adjusted in real time to processor parameter u (k) so that Caton parameter y (k) and processor parameter u (k) reach
To balance, so that terminal is in use, it both can be reduced and Caton situation occurred, the operation consumption of simultaneous processor also can
Reach more excellent, be as far as possible not in overload operation, thus the cruising ability that ensure that terminal as much as possible.
S104, according to the processor parameter u (k) at the kth moment, adjust the actual processor parameter u (k) at kth moment.
It should be noted that the above-mentioned processor parameter u (k) calculated, joins with the Caton that current time acquires in real time
Number y (k) meets equilibrium relation, that is, if the Caton parameter y (k) currently acquired is unsatisfactory for more excellent Caton Parameter Conditions, at this point,
The load of processor can be improved, carrys out optimization system, solves the same of Caton phenomenon by improving terminal handler parameter u (k)
When, the load of processor again will not be too high, will not large effect terminal cruising ability.If the Caton parameter y (k) currently collected is full
When the more excellent Caton Parameter Conditions of foot, at this point, the load of processor can be reduced by reducing terminal handler parameter u (k), from
And reach under conditions of not Caton, moreover it is possible to the effect continued a journey.
In the present embodiment, by the historical data of processor parameter u (k) in acquisition terminal and Caton parameter y (k), utilize
MFA control MFAC algorithm, constructs the equilibrium relation between Caton parameter y (k) and processor parameter u (k) in real time
Formula, by the balanced relationship, and the Caton parameter y (k) that the current k moment acquires in real time, thus calculate obtain current time compared with
Excellent processor parameter u (k) is adjusted processor parameter u (k) actual in terminal using the calculated result u (k), with
Reach terminal not Caton while, there are also preferable cruising ability purpose.
Further, above-mentioned to use MFA control MFAC algorithm, calculate the pseudo- local derviation estimative figure at kth momentInclude:
Using formulaCalculate the
The pseudo- local derviation estimative figure at k momentWherein, η is step series, and Δ u (k-1) is kth -1, the processor at -2 moment of kth ginseng
The difference of number u (k-1) and u (k-2).
Specifically, in formula, Δ u (k-1) represents processor parameter difference, i.e. current time and its previous moment processor
The difference of parameter, herein, Δ u (k-1)=u (k-1)-u (k-2).
Further, above-mentioned to use MFAC algorithm, calculate the processor parameter u (k) at kth moment, comprising:
Using formulaCalculate the processor parameter u at kth moment
(k), wherein ρ is step series, and λ is weight factor.
Specifically, in the present embodiment, between the processor parameter u (k) and Caton parameter y (k) of terminal system, meet non-thread
Property system expression formula: y (k+1)=f [Y (k), u (k), U (k), k], wherein u (k) indicate system input, y (k) indicate system
Output.Its input and output controllably with can survey, i.e., to preset Caton parameter y (k+1)*, there are the feasible control of a bounded is defeated
Enter signal u (k), so that system exports the desired output that y (k) is equal to system, i.e., preset Caton parameter y (k+ under this input
1)*.In addition, for current control input signal u (k), it is continuous to meet its partial derivative, and there are arbitrary k and Δ u (k) ≠
0, there is Δ y (k+1) |≤b | Δ u (k), |, wherein | Δ y (k+1) |=| y (k+1) |-| y (k) |, Δ u (k)=u (k)-u (k-
1)；B is constant.
In this way, the amount for being known as pseudo- partial derivative is certainly existed, so that y (k+1)-y (k)=φ as Δ u (k) ≠ 0T
(k) Δ u (k), wherein | φ (k) |≤b, b are constant.
Above formula y (k+1)-y (k)=φT(k) Δ u (k) is known as the Universal model of system, and Universal model is by nonlinear system in fact
A kind of mode of system dynamical linearization can make original Discrete time Nonlinear Systems by a system by introducing pseudo- gradient vector
The dynamic linear time-varying model of column replaces, and still, to make this substitution rationally, and the control signal of input has very big relationship,
Because working in Dynamic Closed Loop, it is necessary to assure otherwise, adopted and it also requires guaranteeing that the variation of u (k) cannot be excessive Δ u (k) ≠ 0
It is exactly unreasonable with this replacement method.
Above formula is indicated by replacing are as follows: Δ y (k)=φ (k-1) Δ u (k-1), in this way, the lower a moment at current time is pre-
Surveying indicates are as follows: Δ y (k+1)=φ (k) Δ u (k).Wherein, Δ y (k+1)=y*(k+1)-y (k), Δ u (k)=u (k)-u (k-
1).Using system design criteria function J (u (k))=| y*(k+1)-y(k+1)|2+λ|u(k)-u(k-1)|2, item λ | u (k)-u
(k-1)|2Addition play limitation control amount variation effect, to achieve the purpose that overcome systematic steady state error.Use standard
Then function is to u (k) derivation, and it is enabled to be equal to after zero, and the calculation expression of processor parameter u (k) can be obtained are as follows:
Wherein, ρ is step series, can be adjusted according to demand.The introducing of weight coefficient λ mainly has following two points work
With first is that the case where avoiding denominator from being zero allows Δ u (k) to be limited to one second is that playing restriction effect to processor parameter u (k)
In a limited range, guarantee the rationalization of Universal model, while having the function that limit pseudo- gradient.
In addition, the estimation for puppet gradient φ (k) in Universal model, using following estimation criterion function:By to the function derivation and to enable it be zero,
It can obtain the algorithm for estimating of pseudo- gradient are as follows:
Wherein,Introducing, play the effect of the pseudo- effect gradient φ (k) of limitation, η is step-length sequence
Column, it is all customized parameter that μ, which is weight factor, can carry out adjustment appropriate according to the actual situation.
It should be noted that in MFAC algorithm, every iterative calculation is primary, will seek a minimum, in MFAC algorithm, most
Small criterion function when derivation, each derivation across step-length be step series.
According to above-mentioned calculating process, finally calculate separately to obtain the calculation formula of pseudo- Partial derivative estimation value φ (k),With the calculating of processor parameter u (k)
FormulaRegard two calculation formula as an equation group, cooperates
It is calculated, by formulaIt is calculated
φ (k) brings formula intoIn, u (k) is calculated, k takes more than or equal to 3
Integer, such progress successive ignition finally finds out processor parameter u (k) and the balance of Caton parameter y (k) that currently acquires
Relational expression.
Such as: the processor initial parameter value u (0) and u (1) that are first given according to system, puppet Partial derivative estimation value it is initial
ValueThe Caton parameter y (2) currently acquired in real time and preset Caton parameter y (3)*, the puppet at computing system current time is partially
Derivative estimated valueIn addition, according to pseudo- Partial derivative estimation valueThe currently Caton parameter y (2) that acquires in real time and default
Caton parameter y (3)*, it calculates so that in present terminal system, when the Caton situation and continuation of the journey situation of terminal reach more excellent
Processor parameter u (2) so carries out successive ignition calculating, so that the kth moment is obtained, the Caton parameter y (k) of acquisition and calculating
The balanced relationship of processor parameter u (k) out.
Further, above-mentioned processor parameter u (k) includes: the number distribution and every type of different type core in processor
The nuclear frequency of type core；Above-mentioned Caton parameter y (k) includes frame per second and falls frame number.
Further, the Caton parameter y (k+1) at above-mentioned+1 moment of preset kth*Constant is [60,0].
Specifically, processor center type includes: big core, center, small nut, and each types of nuclear number and its corresponding core are frequently
Rate determines the operating load of processor.And in Caton parameter, when fps per second (frame per second) indicates graphics processor Treatment stations
The number that each second can update, available more smooth, the more true to nature animation of high frame per second.In general 30fps is exactly can
With receiving, but performance boost to 60fps can be then obviously improved to interaction sense and realism.In addition, being when sf falls frame number
When zero, user will not feel with the presence of Caton phenomenon.
It should be noted that allow terminal Caton do not occur, fps=60, sf=0 can be abstracted into, that is to say, that per second
Frame number the case where reaching 60 and not occurring frame, such human eye does not just think card.Above-mentioned+1 moment of preset kth
Caton parameter y (k+1)*Expected Caton parameter as in system.
Specifically, in the present embodiment, in a first aspect, there are when Caton phenomenon for terminal, it is assumed that current to acquire in terminal system
Fps=50, sf=2, i.e. Caton parameter y (k)=[50,2], and this moment, the core distribution situation in the processor parameter of system
Are as follows: big core=1, center=4, small nut=3, big nuclear frequency=1092000, middle nuclear frequency=184600, small nuclear frequency=- 1, that
Current time, processor parameter u (k)=[Isosorbide-5-Nitrae, 3,1092000,184600, -1] in terminal system.Because currently acquiring
Caton parameter y (k)=[50,2] and not up to expected more excellent Caton parameter y (k+1)*=[60,0], if not improving processing
Caton phenomenon will occur in the operating load of device, terminal, if but blindness go improve processor operating load, it will lead to terminal
Power consumption increases.Therefore, the balanced relationship of the processor parameter u (k) and Caton parameter y (k) that are obtained using above-mentioned calculating, can
It calculates so that terminal can not block, and the processor parameter u (k) that processor operating load will not be too high at this time, it is assumed herein that
The processor parameter calculated is u (k)=[4,3,1,1092000,1092000, -1], then can be by the actual place of system
Device parameter u (k)=[Isosorbide-5-Nitrae, 3,1092000,184600, -1] is managed, is adjusted, that is, adjusted according to the processor parameter calculated
Whole is u (k)=[4,3,1,1092000,1092000, -1], at this point, can reach the purpose of optimization system.
Second aspect, when Caton phenomenon is not present in terminal, it is assumed that Caton the parameter fps and sf currently acquired is normal
Value, and at this point, the operating load of processor is possible to be more than normal level, i.e. overload operation, in this way, having greatly
Operation consumption is unnecessary, if being constantly in overload operation state, terminal will be severely impacted to electric duration, as
Guarantee that terminal has preferable cruising ability, at this time, it is necessary to which reduction appropriate, root are carried out to the operating load of current processor
The balanced relationship of the processor parameter u (k) and Caton parameter y (k) that obtain according to above-mentioned calculating, can calculate, current normal
In the case where Caton parameter, the relatively figure of merit of processor parameter should both can guarantee that terminal continued not compared with the processor load under the figure of merit
Caton, meanwhile, the also opposite operating load for reducing processor, it is assumed that at this time by calculating the processor parameter u (k) obtained
=[0,4, -1,0,184600, -1], then can accordingly by the actual processor parameter u (k) of system=[Isosorbide-5-Nitrae, 3,1092000,
184600, -1] it adjusts to u (k)=[0,4, -1,0,184600, -1], i.e. the load of processor is reduced, to reach province
The purpose of electricity.
Second embodiment
Fig. 3 is terminal handler regulating device structural schematic diagram one provided by the embodiments of the present application, as shown in figure 3, the end
End processor regulating device includes: to obtain module 301, computing module 302 and determining module 303, in which:
Module 301 is obtained, for obtaining processor parameter u (k-1), the processor parameter at -2 moment of kth at -1 moment of kth
The pseudo- local derviation estimative figure at -1 moment of u (k-2), the Caton parameter y (k) at kth moment and kthWherein k is to be greater than or wait
In 3 integer.
Computing module 302, for processor parameter u (k-1), the processor at -2 moment of kth according to above-mentioned -1 moment of kth
Parameter u (k-2), the Caton parameter y (k) at kth moment, the pseudo- local derviation estimative figure at -1 moment of kthAnd when preset kth+1
The Caton parameter y (k+1) at quarter*, using MFA control MFAC algorithm, calculate the pseudo- local derviation estimative figure at kth momentWhen according to the processor parameter u (k-1) at above-mentioned -1 moment of kth, the Caton parameter y (k) at kth moment, preset kth+1
The Caton parameter y (k+1) at quarter*And the pseudo- local derviation estimative figure at kth momentUsing MFAC algorithm, the processing at kth moment is calculated
Device parameter u (k), wherein the Caton parameter y (k) at kth moment is the data acquired in real time at the k moment.
Determining module 303 adjusts the actual processor ginseng at kth moment for the processor parameter u (k) according to the kth moment
Number u (k).
Further, computing module 302 is specifically used for:
Using formulaCalculate the
The pseudo- local derviation estimative figure at k momentWherein, η is step series, and Δ u (k-1) is kth -1, the processor at -2 moment of kth ginseng
The difference of number u (k-1) and u (k-2).
Further, computing module 302 is specifically also used to:
Using formulaCalculate the processor parameter u at kth moment
(k), wherein ρ is step series, and λ is weight factor.
Further, processor parameter u (k) includes: number distribution and each type core of different type core in processor
Nuclear frequency；Caton parameter y (k) includes frame per second and falls frame number.
Further, the Caton parameter y (k+1) at above-mentioned+1 moment of preset kth*Constant is [60,0].
Above-mentioned apparatus can be used for executing the method for above method embodiment offer, specific implementation and technical effect class
Seemingly, which is not described herein again.
The above module can be arranged to implement one or more integrated circuits of above method, such as: one
Or multiple specific integrated circuits (Application Specific Integrated Circuit, abbreviation ASIC), or, one
Or multi-microprocessor (digital singnal processor, abbreviation DSP), or, one or more field programmable gate
Array (Field Programmable Gate Array, abbreviation FPGA) etc..For another example, when some above module passes through processing elements
When the form of part scheduler program code is realized, which can be general processor, such as central processing unit (Central
Processing Unit, abbreviation CPU) or it is other can be with the processor of caller code.For another example, these modules can integrate
Together, it is realized in the form of system on chip (system-on-a-chip, abbreviation SOC).
Fig. 4 is terminal handler regulating device structural schematic diagram two provided by the embodiments of the present application, as shown in figure 4, the dress
Set includes: processor 401 and memory 402, in which:
Memory 402 is for storing program, the program that processor 401 calls memory 402 to store, to execute the above method
Embodiment.Specific implementation is similar with technical effect, and which is not described herein again.
Optionally, the present invention also provides a kind of program product, such as computer readable storage medium, including program, the journeys
Sequence is when being executed by processor for executing above method embodiment.
In several embodiments provided by the present invention, it should be understood that disclosed device and method can pass through it
Its mode is realized.For example, the apparatus embodiments described above are merely exemplary, for example, the division of the unit, only
Only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components can be tied
Another system is closed or is desirably integrated into, or some features can be ignored or not executed.Another point, it is shown or discussed
Mutual coupling, direct-coupling or communication connection can be through some interfaces, the INDIRECT COUPLING or logical of device or unit
Letter connection can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of hardware adds SFU software functional unit.
The above-mentioned integrated unit being realized in the form of SFU software functional unit can store and computer-readable deposit at one
In storage media.Above-mentioned SFU software functional unit is stored in a storage medium, including some instructions are used so that a computer
Equipment (can be personal computer, server or the network equipment etc.) or processor (English: processor) execute this hair
The part steps of bright each embodiment the method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory
(English: Read-Only Memory, abbreviation: ROM), random access memory (English: Random Access Memory, letter
Claim: RAM), the various media that can store program code such as magnetic or disk.
Claims (10)
1. a kind of terminal handler adjusting method characterized by comprising
Obtain the processor parameter u (k-1) at -1 moment of kth, the processor parameter u (k-2) at -2 moment of kth, the Caton at kth moment
The pseudo- local derviation estimative figure at -1 moment of parameter y (k) and kthWherein k is the integer more than or equal to 3；
According to the processor parameter u (k-1) at -1 moment of kth, the processor parameter u (k-2) at -2 moment of the kth, described
The Caton parameter y (k) at kth moment, the pseudo- local derviation estimative figure at -1 moment of the kthAnd the card at preset+1 moment of kth
Pause parameter y (k+1)*, using MFA control MFAC algorithm, calculate the pseudo- local derviation estimative figure at kth moment
According to the processor parameter u (k-1) at -1 moment of kth, the Caton parameter y (k) at the kth moment, preset kth+1
The Caton parameter y (k+1) at moment*And the pseudo- local derviation estimative figure at the kth momentUsing MFAC algorithm, kth is calculated
The processor parameter u (k) at moment, wherein the Caton parameter y (k) at the kth moment is the data acquired in real time at the k moment；
According to the processor parameter u (k) at the kth moment, the actual processor parameter u (k) at kth moment is adjusted.
2. terminal handler adjusting method according to claim 1, which is characterized in that described to use model-free adaption control
Algorithm MFAC processed calculates the pseudo- local derviation estimative figure at kth momentInclude:
Using formulaCalculate the kth moment
Pseudo- local derviation estimative figureWherein, η is step series, and Δ u (k-1) is kth -1, the processor parameter u (k- at -2 moment of kth
And the difference of u (k-2) 1).
3. terminal handler adjusting method according to claim 1, which is characterized in that it is described to use MFAC algorithm, it calculates
The processor parameter u (k) at kth moment, comprising:
Using formulaThe processor parameter u (k) at kth moment is calculated,
Wherein, ρ is step series, and λ is weight factor.
4. terminal handler adjusting method according to claim 1, which is characterized in that processor parameter u (k) packet
It includes: the nuclear frequency of the number distribution and each type core of different type core in processor；The Caton parameter y (k) includes frame per second
With fall frame number.
5. terminal handler adjusting method according to claim 1, which is characterized in that preset+1 moment of kth
Caton parameter y (k+1)*Constant is [60,0].
6. a kind of terminal handler regulating device characterized by comprising obtain module, computing module and determining module；
The acquisition module, for obtaining the processor parameter u (k-1) at -1 moment of kth, the processor parameter u at -2 moment of kth
(k-2), the pseudo- local derviation estimative figure at -1 moment of the Caton parameter y (k) at kth moment and kthWherein k be more than or equal to
3 integer；
The computing module, for the processor parameter u (k-1) according to -1 moment of kth, the processing at -2 moment of the kth
Device parameter u (k-2), the Caton parameter y (k) at the kth moment, the pseudo- local derviation estimative figure at -1 moment of the kthAnd it is pre-
If+1 moment of kth Caton parameter y (k+1)*, using MFA control MFAC algorithm, calculate the puppet at kth moment partially
Lead estimative figureAccording to the processor parameter u (k-1) at -1 moment of kth, the Caton parameter y (k) at the kth moment, pre-
If+1 moment of kth the Caton parameter y (k+1)*And the pseudo- local derviation estimative figure at the kth momentIt is calculated using MFAC
Method calculates the processor parameter u (k) at kth moment, wherein the Caton parameter y (k) at the kth moment is to acquire in real time at the k moment
Data；
The determining module adjusts the actual processor at kth moment for the processor parameter u (k) according to the kth moment
Parameter u (k).
7. terminal handler regulating device according to claim 6, which is characterized in that the computing module is specifically used for:
Using formulaCalculate the kth moment
Pseudo- local derviation estimative figureWherein, η is step series, and Δ u (k-1) is kth -1, the processor parameter u (k- at -2 moment of kth
And the difference of u (k-2) 1).
8. terminal handler regulating device according to claim 6, which is characterized in that the computing module is specifically also used
In:
Using formulaThe processor parameter u (k) at kth moment is calculated,
Wherein, ρ is step series, and λ is weight factor.
9. terminal handler regulating device according to claim 6, which is characterized in that processor parameter u (k) packet
It includes: the nuclear frequency of the number distribution and each type core of different type core in processor；The Caton parameter y (k) includes frame per second
With fall frame number.
10. terminal handler regulating device according to claim 6, which is characterized in that preset+1 moment of kth
Caton parameter y (k+1)*Constant is [60,0].
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