CN104598368B - A kind of mobile terminal performance diagnostic method - Google Patents
A kind of mobile terminal performance diagnostic method Download PDFInfo
- Publication number
- CN104598368B CN104598368B CN201410808035.8A CN201410808035A CN104598368B CN 104598368 B CN104598368 B CN 104598368B CN 201410808035 A CN201410808035 A CN 201410808035A CN 104598368 B CN104598368 B CN 104598368B
- Authority
- CN
- China
- Prior art keywords
- performance
- mobile terminal
- hyperplane
- program
- formula
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Abstract
The invention discloses a kind of method of diagnosis of application program performance issue in mobile terminal.Mobile terminal period collecting performance data and frame per second data and upload server, serve end program sets up performance model according to performance data and frame per second data and calculates performance bottleneck hyperplane, and passes mobile terminal back.Mobile terminal is according to performance model and performance bottleneck hyperplane, with reference to the resource usage amount of each application program, calculate the performance change amount for obtaining each application program, and the performance issue produced by application program is diagnosed in this, as basis for estimation, while diagnostic result is fed back into terminal user.Advantage of this approach is that：It can effectively, accurately diagnose the performance issue that application program is produced in mobile terminal.
Description
Technical field
Terminal applies are directed to the present invention relates to performance diagnostic method in a kind of mobile terminal, particularly terminaloriented user
The performance issue automatic diagnosis method of program.
Background technology
Mobile applications rapid development in recent years, at the same time, the complexity of program is also growing day by day.Substantial amounts of movement
Application program causes the quality of program very different, and the performance that quite a few application program has the different orders of severity is asked
Topic, these problems can cause Mobile operating system operation slow.Therefore how to diagnose exist performance issue application program be move
The problem of developer and terminal user of dynamic application are one important.
Because the performance of mobile terminal and the experience of terminal user are directly related, therefore in recent years in academia and industrial quarters
All cause attention widely.Domestic and international researcher has been carried out in this regard more deeply widely to be studied, in recent years
The method of many diagnosis mobile process performance issues is occurred in that.These methods according to towards user's difference be segmented into two classes
Class：Towards program developer with terminaloriented user's.For the former binary system pitching pile skill is utilized just like AppInsight
Art tracking user operates the behavior in application program, then obtains causing the root of performance issue by analysis of key execution route
This reason.Zhang et al. reaches the system action of tracking more bottom by changing Mobile operating system code.Han et al. is analyzed
Influence of the rolling operation to power consumption, and reduction CPU usage is reached by reducing refreshing frequency, put forward high performance purpose.
For the latter, common is exactly to carry out performance improvement using task manager, and terminal user can use task manager to kill
Some background process reach release resource, put forward high performance purpose.But this depends on performance issue of the terminal user to appearance
Degree of understanding.Ma et al. proposes state when detection is performed, and causes the abnormal feelings of battery by analyzing the variation diagnostic of state
The reason for condition.Terminal user can help to solve the problems, such as electric energy abnormal consumption by this method.
The content of the invention
The present invention will overcome the disadvantages mentioned above of prior art, and there is provided performance diagnostic method in a kind of mobile terminal.
To realize object above, the technical solution used in the present invention is：The mobile terminal performance diagnostic method is mainly wrapped
Include following steps：
1) the frame per second data and each application resource that serve end program reception mobile terminal is gathered with cycle u are used
Amount；
2) serve end program calculates performance model and performance bottleneck hyperplane based on mobile terminal performance data；
3) performance model and performance bottleneck hyperplane are returned to mobile terminal by serve end program；
4) mobile terminal utilizes the model that service end is returned, according to given based on performance model and performance bottleneck hyperplane
Performance change amount computational methods calculate the performance variable；
5) program of mobile terminal sorts performance change amount from big to small, then informs that user causes the application of performance issue
Program.
2nd, step 2) described in performance model and performance bottleneck hyperplane：
2.1) server program is according to formulaObtain X in resource usage amount vector, formulatRepresent movement
Terminal uses vector in the aggregate resource of t,Represent overall usage amounts of the resource n in mobile terminal in t；
2.2) serve end program is according to formulaCarry out most
Small square fitting obtains α in performance model, formulaiThe i-th model parameter is represented, k represents the resource category number of sampling,Represent k kinds
Resource is in the usage amount vector of t, FtRepresent the standardized value of t frame per second；
2.3) serve end program calculates according to formula f (X)=1 and obtains f () representative in performance bottleneck hyperplane H, formula
Energy model equation, X represents resource usage amount vector.
3rd, step 4) described in performance change amount：
4.1) program of mobile terminal receives the performance model and performance bottleneck hyperplane H of serve end program, according to formula gA
=Dist (sc,H)-Dist(x-uA, H) calculate and obtain the performance of each application program variable, g in formulaARepresent application program A
Performance change amount, scRepresent mobile terminal current performance state, x-uAExpression subtracts the performance state after application program A, Dist
(s, H) represents performance state s to bottleneck hyperplane H distance.
Compared with prior art, the beneficial effects of the invention are as follows：The performance number that this method gathers mobile terminal period
According to service end is uploaded to, serve end program sets up performance model using least square fitting, while performance bottleneck hyperplane is calculated,
And pass performance model and performance bottleneck hyperplane back mobile terminal.Mobile terminal is according to performance model and performance bottleneck hyperplane
Performance knots modification is calculated, and according to this as the foundation of diagnosis performance problem.Shifting can effectively, be accurately diagnosed by this method
The performance issue that application program is produced in dynamic terminal.
Brief description of the drawings
Fig. 1 is mobile terminal performance diagnostic method frame diagram of the present invention.
Embodiment
The implementation to a kind of mobile terminal performance diagnostic method of the present invention is described in detail below in conjunction with the accompanying drawings, and it is walked
It is rapid as follows：
1) the frame per second data and each application resource that serve end program reception mobile terminal is gathered with cycle u are used
Amount；
2) serve end program calculates performance model and performance bottleneck hyperplane based on mobile terminal performance data；
3) performance model and performance bottleneck hyperplane are returned to mobile terminal by serve end program；
4) mobile terminal utilizes the model that service end is returned, according to given based on performance model and performance bottleneck hyperplane
Performance change amount computational methods calculate the performance variable；
5) program of mobile terminal sorts performance change amount from big to small, then informs that user causes the application of performance issue
Program.
Described step 2) described in the performance model computational methods based on mobile terminal performance data include following step
Suddenly：
2.1) serve end program is according to formulaObtain X in resource usage amount vector, formulatRepresent movement
Terminal uses vector in the aggregate resource of t,Represent overall usage amounts of the resource n in mobile terminal in t；
2.2) serve end program is according to formulaCarry out most
Small square fitting obtains α in performance model, formulaiThe i-th model parameter is represented, k represents the resource category number of sampling,Represent k kinds
Resource is in the usage amount vector of t, FtRepresent the standardized value of t frame per second；
3) serve end program is calculated according to formula f (X)=1 obtains f () expressions performance in performance bottleneck hyperplane H, formula
Model equation, X represents resource usage amount vector.
Step 4) described in performance change amount：
4.1) program of mobile terminal receives the performance model and performance bottleneck hyperplane H of serve end program, according to formula gA
=Dist (sc,H)-Dist(x-uA, H) calculate and obtain the performance of each application program variable, g in formulaARepresent application program A
Performance change amount, scRepresent mobile terminal current performance state, x-uAExpression subtracts the performance state after application program A, Dist
(s, H) represents performance state s to bottleneck hyperplane H distance.
Content described in this specification embodiment is only enumerating to the way of realization of inventive concept, protection of the invention
Being not construed as of scope is only limitted to the concrete form that embodiment is stated, protection scope of the present invention is also and in this area skill
Art personnel according to present inventive concept it is conceivable that equivalent technologies mean.
Claims (1)
1. a kind of mobile terminal performance diagnostic method, it is characterised in that comprise the following steps：
1) serve end program receives mobile terminal with the cycle u frame per second data gathered and each application resource usage amount；
2) serve end program calculates performance model and performance bottleneck hyperplane based on mobile terminal performance data；
3) performance model and performance bottleneck hyperplane are returned to mobile terminal by serve end program；
4) mobile terminal utilizes the model that service end is returned, according to the given property based on performance model and performance bottleneck hyperplane
The computational methods of energy knots modification calculate performance knots modification；
5) program of mobile terminal sorts performance change amount from big to small, then informs that user causes the application journey of performance issue
Sequence；
Described step 2) described in the performance model and performance bottleneck hyperplane based on mobile terminal performance data calculating
Method comprises the following steps：
2.1) serve end program is according to formulaObtain X in resource usage amount vector, formulatRepresent mobile terminal
In the aggregate resource usage amount vector of t,Represent overall usage amounts of the resource n in mobile terminal in t；
2.2) serve end program is according to formulaCarry out minimum flat
Side's fitting obtains α in performance model, formulaiThe i-th model parameter is represented, k represents the resource category number of sampling,Represent k kind resources
In the usage amount vector of t, FtRepresent the standardized value of t frame per second；
2.3) serve end program is calculated according to formula f (X)=1 obtains f () expressions performance mould in performance bottleneck hyperplane H, formula
Type equation, X represents resource usage amount vector；
Described step 4) the performance change amount based on performance model and performance bottleneck hyperplane computational methods include following step
Suddenly：
Program of mobile terminal receives the performance model and performance bottleneck hyperplane H of serve end program, according to formula gA=Dist (sc,
H)-Dist(x-uA, H) and calculate g in the performance change amount for obtaining each application program, formulaARepresent application program A performance change
Amount, scRepresent mobile terminal current performance state, x-uAExpression subtracts the performance state after application program A, and Dist (s, H) is represented
Distances of the performance state s to performance bottleneck hyperplane H.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410808035.8A CN104598368B (en) | 2014-12-22 | 2014-12-22 | A kind of mobile terminal performance diagnostic method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410808035.8A CN104598368B (en) | 2014-12-22 | 2014-12-22 | A kind of mobile terminal performance diagnostic method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104598368A CN104598368A (en) | 2015-05-06 |
| CN104598368B true CN104598368B (en) | 2017-10-27 |
Family
ID=53124180
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410808035.8A Active CN104598368B (en) | 2014-12-22 | 2014-12-22 | A kind of mobile terminal performance diagnostic method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104598368B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106294059A (en) * | 2015-06-26 | 2017-01-04 | 中兴通讯股份有限公司 | The restoration methods of process and device in network management system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101808165A (en) * | 2010-04-12 | 2010-08-18 | 中兴通讯股份有限公司 | Method and device for constructing power model of mobile terminal |
| CN103024761A (en) * | 2011-09-26 | 2013-04-03 | 艾默生网络能源有限公司 | Establishing method for energy consumption model of base station, and energy consumption predicating method and device |
| CN103399797A (en) * | 2013-07-19 | 2013-11-20 | 华为技术有限公司 | Server resource allocation method and device |
| CN104010028A (en) * | 2014-05-04 | 2014-08-27 | 华南理工大学 | Dynamic virtual resource management strategy method for performance weighting under cloud platform |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7480489B2 (en) * | 2004-11-22 | 2009-01-20 | Broadcom Corporation | Wireless device having a distinct hardware accelerator to support data compression protocols dedicated to GSM (V.42) |
-
2014
- 2014-12-22 CN CN201410808035.8A patent/CN104598368B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101808165A (en) * | 2010-04-12 | 2010-08-18 | 中兴通讯股份有限公司 | Method and device for constructing power model of mobile terminal |
| CN103024761A (en) * | 2011-09-26 | 2013-04-03 | 艾默生网络能源有限公司 | Establishing method for energy consumption model of base station, and energy consumption predicating method and device |
| CN103399797A (en) * | 2013-07-19 | 2013-11-20 | 华为技术有限公司 | Server resource allocation method and device |
| CN104010028A (en) * | 2014-05-04 | 2014-08-27 | 华南理工大学 | Dynamic virtual resource management strategy method for performance weighting under cloud platform |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104598368A (en) | 2015-05-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP3504768B1 (en) | Primary power grid frequency response characterization using phasor measurement unit data | |
| Paternina et al. | Identification of electromechanical oscillatory modes based on variational mode decomposition | |
| CN107038167A (en) | Big data excavating analysis system and its analysis method based on model evaluation | |
| CN109800139A (en) | Server health degree analysis method, device, storage medium and electronic equipment | |
| CN105425779A (en) | ICA-PCA multi-working condition fault diagnosis method based on local neighborhood standardization and Bayesian inference | |
| CN109344993B (en) | River channel flood peak water level forecasting method based on conditional probability distribution | |
| CN104182914B (en) | A kind of wind power output time series modeling method based on wave characteristic | |
| CN104062968A (en) | Continuous chemical process fault detection method | |
| CN104090176A (en) | Intelligent household appliance recognition method based on power consumption characteristic curve | |
| CN107576853A (en) | Distribution Network Harmonics impedance computation method based on canonical correlation analysis | |
| CN106154117A (en) | A kind of combined method of distributed grid-connected isolated island detection | |
| CN105023071A (en) | Water quality prediction method based on Gaussian cloud transformation and fuzzy time sequence | |
| CN105590027A (en) | Identification method for photovoltaic power abnormal data | |
| Rehman et al. | Low complexity event detection algorithm for non-intrusive load monitoring systems | |
| CN104166777A (en) | Wind speed vector data simulation generation method considering multiple correlation | |
| CN114977176A (en) | Power load decomposition method, device, equipment and storage medium | |
| CN110212592B (en) | Thermal power generating unit load regulation maximum rate estimation method and system based on piecewise linear expression | |
| CN109002996A (en) | Methods of risk assessment and system based on water rate | |
| CN104598368B (en) | A kind of mobile terminal performance diagnostic method | |
| CN103678529B (en) | Integration method of wafer test data of multiple times | |
| CN103529337B (en) | The recognition methods of nonlinear correlation relation between equipment failure and electric quantity information | |
| CN103428320B (en) | Smart cell phone power dissipation estimation method based on model fitting | |
| Zarei et al. | Evaluation of quality and quantity changes of underground water in Fasa plain, Fars (2006-2013) | |
| CN103473461B (en) | Based on the wind power prediction error estimation that data characteristics is extracted | |
| CN105466670A (en) | Method for health state monitoring of multi-blade collimator based on current signals of blade motor |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |