CN107797851A - Method for scheduling task, device and mobile terminal - Google Patents
Method for scheduling task, device and mobile terminal Download PDFInfo
- Publication number
- CN107797851A CN107797851A CN201610802840.9A CN201610802840A CN107797851A CN 107797851 A CN107797851 A CN 107797851A CN 201610802840 A CN201610802840 A CN 201610802840A CN 107797851 A CN107797851 A CN 107797851A
- Authority
- CN
- China
- Prior art keywords
- task
- nonsystematic
- user
- score value
- application
- 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.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/48—Program initiating; Program switching, e.g. by interrupt
- G06F9/4806—Task transfer initiation or dispatching
- G06F9/4812—Task transfer initiation or dispatching by interrupt, e.g. masked
Landscapes
- Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention provides a kind of method for scheduling task, device and mobile terminal.Methods described includes：Record situation of the user using application；Data are used using history of the situation statistics of application with each nonsystematic task of user mutual during user uses application according to the user；Data are used according to the history, calculate the new prominence score value of each nonsystematic task, prominence score value is smaller, and the nonsystematic task is more important；When Installed System Memory deficiency, according to the new prominence score value of each nonsystematic task, by the nonsystematic task termination that new prominence score value is maximum.Compared with prior art, the present invention can be when being scheduled to nonsystematic task, the task service condition of comprehensive statistics user, the prominence score value of task is more accurately calculated, terminated by mistake in Installed System Memory deficiency so as to be effectively prevented from important task.
Description
Technical field
The present invention relates to system management technologies field, more particularly to a kind of method for scheduling task, device and mobile terminal.
Background technology
When existing embedded system is scheduled middle Installed System Memory deficiency to nonsystematic task, system is interior in order to reclaim
Deposit, the process terminated, the high process of prominence score value can be determined according to the prominence score value of process importance analysis
Importance is low, can be terminated first.When prominence score value is identical, system can press in prominence score value identical process
Come terminated task or process according to the size of committed memory, terminate committed memory maximum task or process first.But actual feelings
In condition, the prominence score value highest of most of background process and identical, system is come eventually by score value and committed memory size
Only task, the larger background system of the internal memory that is commonly used of user is often terminated first.
For example, the running background of system has N number of task, respectively task 1, task 2 ..., task N, their weight
The property wanted score value is identical, it is assumed that wherein task 1 is wechat, be the most-often used program of user but simultaneously the task take
Internal memory is maximum, then in Installed System Memory deficiency, Installed System Memory recycling module first can terminate task 1.But to user and
Speech, other N-1 tasks are all not frequently used, and unessential task, what user was more desirable to be terminated is other N-1
Individual task rather than task 1.
During the present invention is realized, inventor has found following technical problem in the prior art at least be present：
When being scheduled in current embedded system to nonsystematic task, a task can not be synthetically evaluated to user
Importance, task important for a user may be caused to be terminated when system load is excessive by Installed System Memory recycling module,
And resource is taken to the unessential task long-term existence of user, system resource is unable to reasonable distribution.
The content of the invention
Method for scheduling task, device and mobile terminal provided by the invention, being capable of comprehensive statistics user of the task use feelings
Condition, the prominence score value of task is more accurately calculated, so as to avoid important task from being terminated by mistake.
In a first aspect, the present invention provides a kind of method for scheduling task, including：
Record situation of the user using application；
Count each non-with user mutual during user uses application using the situation of application according to the user
The history of system task uses data；
According to described use data with each nonsystematic task of user mutual history, calculate each nonsystematic task newly
Prominence score value, prominence score value is smaller, and the nonsystematic task is more important；
When Installed System Memory deficiency, according to the new prominence score value of each nonsystematic task, by new prominence score
It is worth maximum nonsystematic task termination.
Alternatively, the record user is included using the situation of application：Record user starts application, using applying and exit
The behavior of application.
Alternatively, it is described according to the user using application situation statistics user using application during with user
The history of interactive each nonsystematic task is included using data：Used according to the user using the situation statistics of application in user
During with the total usage time, total frequency of use, the nearest scheduled time of each nonsystematic task of user mutual
The frequency of use in usage time and nearest predetermined amount of time in section.
Alternatively, data are used described in the basis with the history of each nonsystematic task of user mutual, calculate each non-system
The new prominence score value of system task includes：
The new prominence score value ub_adj of each nonsystematic task is calculated according to equation below：
Ub_adj=i*adj/f+j*adj/t+k*adj/F+l*adj/T,
Wherein, i, j, k, l are default weight regulation coefficient, and f is each nonsystematic task in nearest predetermined amount of time
Frequency of use, t are usage time of each nonsystematic task in nearest predetermined amount of time, and F is that the total of each nonsystematic task makes
With frequency, T is total usage time of each nonsystematic task, to each nonsystematic when adj is the carry out Memory recycle of default
The initial importance score value of task.
Second aspect, the present invention provide a kind of task scheduling apparatus, including：
Recording unit, for recording situation of the user using application；
Statistic unit, for according to the user using application situation statistics user using application during with
The history of each nonsystematic task of family interaction uses data；
Computing unit, for using data according to the history of each nonsystematic task with user mutual, calculate each non-
The new prominence score value of system task, prominence score value is smaller, and the nonsystematic task is more important；
Processing unit, for when Installed System Memory deficiency, according to the new prominence score value of each nonsystematic task, inciting somebody to action new
The maximum nonsystematic task termination of prominence score value.
Alternatively, the recording unit, the behavior for recording user starts application, using applying and exiting application.
Alternatively, the statistic unit, for using application in user using the situation statistics of application according to the user
During with the total usage time, total frequency of use, nearest predetermined amount of time of each nonsystematic task of user mutual
Usage time and nearest predetermined amount of time in frequency of use.
Alternatively, the computing unit, for calculating the new prominence score of each nonsystematic task according to equation below
Value ub_adj：
Ub_adj=i*adj/f+j*adj/t+k*adj/F+l*adj/T,
Wherein, i, j, k, l are default weight regulation coefficient, and f is each nonsystematic task in nearest predetermined amount of time
Frequency of use, t are usage time of each nonsystematic task in nearest predetermined amount of time, and F is that the total of each nonsystematic task makes
With frequency, T is total usage time of each nonsystematic task, to each nonsystematic when adj is the carry out Memory recycle of default
The initial importance score value of task.
The third aspect, the present invention provide a kind of mobile terminal, and the mobile terminal includes above-mentioned task scheduling apparatus.
Method for scheduling task, device and mobile terminal provided in an embodiment of the present invention, application is used by recording user
Situation；According to each nonsystematic of the user using the situation statistics of application during user uses application with user mutual
The history of task uses data；Data are used with each nonsystematic task of user mutual history according to described, calculate each non-system
The new prominence score value of system task, prominence score value is smaller, and the nonsystematic task is more important；When Installed System Memory deficiency
When, according to the new prominence score value of each nonsystematic task, by the nonsystematic task termination that new prominence score value is maximum.
Compared with prior art, the present invention can be when being scheduled to nonsystematic task, the task service condition of comprehensive statistics user,
The prominence score value of task is more accurately calculated, so as to carry out task tune according to new task significance score value
Degree, can be effectively prevented from important task and be terminated by mistake in Installed System Memory deficiency.
Brief description of the drawings
Fig. 1 is the flow chart for the method for scheduling task that one embodiment of the invention provides；
Fig. 2 is the structural representation for the task scheduling apparatus that one embodiment of the invention provides.
Embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only
Only it is part of the embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, ordinary skill
The every other embodiment that personnel are obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
The present invention provides a kind of method for scheduling task, as shown in figure 1, methods described includes：
S101, record user use situation about applying.
Specifically, record user is included using the situation of application：Record user starts application, using applying and exit application
Behavior.
S102, according to the user using application situation statistics user using application during with user mutual
The history of each nonsystematic task uses data.
Specifically, the history of statistics is included using data：Counted according to the user using the situation of application is made in user
With total usage time during application with each nonsystematic task of user mutual, recently total frequency of use, pre- timing
Between frequency of use in usage time and nearest predetermined amount of time in section.
S103, the history of basis each nonsystematic task with user mutual use data, calculate each nonsystematic task
New prominence score value, prominence score value it is smaller, the nonsystematic task is more important.
Specifically, the new prominence score value ub_adj of each nonsystematic task is calculated according to equation below：
Ub_adj=i*adj/f+j*adj/t+k*adj/F+l*adj/T,
Wherein, i, j, k, l are default weight regulation coefficient, and f is each nonsystematic task in nearest predetermined amount of time
Frequency of use, t are usage time of each nonsystematic task in nearest predetermined amount of time, and F is that the total of each nonsystematic task makes
With frequency, T is total usage time of each nonsystematic task, to each nonsystematic when adj is the carry out Memory recycle of default
The initial importance score value of task, adj is smaller, and corresponding nonsystematic task is more important；Adj is bigger, and corresponding nonsystematic is appointed
Business is more inessential.
Wherein, nearest predetermined amount of time is configured by user according to the actual use demand of oneself, can be one small
When it is interior, in one day, in a week.
S104, when Installed System Memory deficiency, according to the new prominence score value of each nonsystematic task, by new importance
The maximum nonsystematic task termination of score value.
Wherein, new prominence score value is smaller, shows that the nonsystematic task is more important；New prominence score value is got over
Greatly, show that the nonsystematic task is more inessential.Prioritizing selection by the maximum nonsystematic task termination of new prominence score value,
I.e. preferentially will most unessential nonsystematic task termination, so as to avoid important task from being terminated by mistake.
Method for scheduling task provided in an embodiment of the present invention, by recording situation of the user using application；According to the use
Family is used using history of the situation statistics of application with each nonsystematic task of user mutual during user uses application
Data；Data are used with each nonsystematic task of user mutual history according to described, calculate the new weight of each nonsystematic task
The property wanted score value, prominence score value is smaller, and the nonsystematic task is more important；When Installed System Memory deficiency, according to each nonsystematic
The new prominence score value of task, by the nonsystematic task termination that new prominence score value is maximum.Compared with prior art,
The present invention can be when being scheduled to nonsystematic task, the task service condition of comprehensive statistics user, to the importance of task
Score value is more accurately divided, can be effectively so as to carry out task scheduling according to new task significance score value
Important task is avoided to be terminated by mistake in Installed System Memory deficiency.
The embodiment of the present invention also provides a kind of task scheduling apparatus, as shown in Fig. 2 described device includes：
Recording unit 201, for recording situation of the user using application；
Statistic unit 202, for being counted according to the user using the situation of application during user uses application
Data are used with the history of each nonsystematic task of user mutual；
Computing unit 203, for using data according to the history of each nonsystematic task with user mutual, calculate each
The new prominence score value of nonsystematic task, prominence score value is smaller, and the nonsystematic task is more important；
Processing unit 204, for when Installed System Memory deficiency, according to the new prominence score value of each nonsystematic task,
By the nonsystematic task termination that new prominence score value is maximum.
Wherein, new prominence score value is smaller, shows that the nonsystematic task is more important；New prominence score value is got over
Greatly, show that the nonsystematic task is more inessential.Prioritizing selection by the maximum nonsystematic task termination of new prominence score value,
I.e. preferentially will most unessential nonsystematic task termination, so as to avoid important task from being terminated by mistake.
Task scheduling apparatus provided in an embodiment of the present invention, situation of the user using application can be recorded；According to the use
Family is used using history of the situation statistics of application with each nonsystematic task of user mutual during user uses application
Data；Data are used with each nonsystematic task of user mutual history according to described, calculate the new weight of each nonsystematic task
The property wanted score value, prominence score value is smaller, and the nonsystematic task is more important；When Installed System Memory deficiency, according to each nonsystematic
The new prominence score value of task, by the nonsystematic task termination that new prominence score value is maximum.Compared with prior art,
The present invention can be when being scheduled to nonsystematic task, the task service condition of comprehensive statistics user, to the importance of task
Score value is more accurately divided, can be effectively so as to carry out task scheduling according to new task significance score value
Important task is avoided to be terminated by mistake in Installed System Memory deficiency.
Alternatively, the recording unit 201, the behavior for recording user starts application, using applying and exiting application.
Alternatively, the statistic unit 202, should for being used according to the user using the situation statistics of application in user
During with the total usage time, total frequency of use, nearest predetermined amount of time of each nonsystematic task of user mutual
Frequency of use in interior usage time and nearest predetermined amount of time.
Alternatively, the computing unit 203, the new importance for calculating each nonsystematic task according to equation below are commented
Score value ub_adj：
Ub_adj=i*adj/f+j*adj/t+k*adj/F+l*adj/T,
Wherein, i, j, k, l are default weight regulation coefficient, and f is each nonsystematic task in nearest predetermined amount of time
Frequency of use, t are usage time of each nonsystematic task in nearest predetermined amount of time, and F is that the total of each nonsystematic task makes
With frequency, T is total usage time of each nonsystematic task, to each nonsystematic when adj is the carry out Memory recycle of default
The initial importance score value of task, adj is smaller, and corresponding nonsystematic task is more important；Adj is bigger, and corresponding nonsystematic is appointed
Business is more inessential.
The embodiment of the present invention also provides a kind of mobile terminal, and the mobile terminal includes above-mentioned task scheduling apparatus.
One of ordinary skill in the art will appreciate that realize all or part of flow in above-described embodiment method, being can be with
The hardware of correlation is instructed to complete by computer program, described program can be stored in a computer read/write memory medium
In, the program is upon execution, it may include such as the flow of the embodiment of above-mentioned each method.Wherein, described storage medium can be magnetic
Dish, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random Access
Memory, RAM) etc..
The foregoing is only a specific embodiment of the invention, but protection scope of the present invention is not limited thereto, any
Those familiar with the art the invention discloses technical scope in, the change or replacement that can readily occur in, all should
It is included within the scope of the present invention.Therefore, protection scope of the present invention should be defined by scope of the claims.
Claims (9)
- A kind of 1. method for scheduling task, it is characterised in that including：Record situation of the user using application；According to each nonsystematic of the user using the situation statistics of application during user uses application with user mutual The history of task uses data；Use data with each nonsystematic task of user mutual history according to described, calculate newly important of each nonsystematic task Property score value, prominence score value it is smaller, the nonsystematic task is more important；When Installed System Memory deficiency, according to the new prominence score value of each nonsystematic task, by new prominence score value most Big nonsystematic task termination.
- 2. according to the method for claim 1, it is characterised in that the record user is included using the situation of application：Record User starts application, use the behavior for applying and exiting application.
- 3. according to the method for claim 2, it is characterised in that described to be existed according to the user using the situation statistics of application User uses the history during application with each nonsystematic task of user mutual to include using data：Made according to the user With total usage time of the situation of the application statistics during user uses application with each nonsystematic task of user mutual, Total frequency of use, the usage time in nearest predetermined amount of time and frequency of use in nearest predetermined amount of time.
- 4. according to the method for claim 3, it is characterised in that described in the basis with each nonsystematic task of user mutual History use data, calculating the new prominence score value of each nonsystematic task includes：The new prominence score value ub_adj of each nonsystematic task is calculated according to equation below：Ub_adj=i*adj/f+j*adj/t+k*adj/F+l*adj/T,Wherein, i, j, k, l are default weight regulation coefficient, and f is use of each nonsystematic task in nearest predetermined amount of time Frequency, t are usage time of each nonsystematic task in nearest predetermined amount of time, and F is that the total of each nonsystematic task uses frequently Rate, T is total usage time of each nonsystematic task, to each nonsystematic task when adj is the carry out Memory recycle of default Initial importance score value.
- A kind of 5. task scheduling apparatus, it is characterised in that including：Recording unit, for recording situation of the user using application；Statistic unit, for being handed over according to the user using the situation statistics of application during user uses application with user The history of mutual each nonsystematic task uses data；Computing unit, for using data according to the history of each nonsystematic task with user mutual, calculate each nonsystematic The new prominence score value of task, prominence score value is smaller, and the nonsystematic task is more important；Processing unit, for when Installed System Memory deficiency, according to the new prominence score value of each nonsystematic task, by new weight The maximum nonsystematic task termination of the property wanted score value.
- 6. device according to claim 5, it is characterised in that the recording unit, for recording user starts application, making With the behavior for applying and exiting application.
- 7. device according to claim 6, it is characterised in that the statistic unit, should for being used according to the user Situation statistics during user uses application with total usage time of each nonsystematic task of user mutual, total Frequency of use, the usage time in nearest predetermined amount of time and the frequency of use in nearest predetermined amount of time.
- 8. device according to claim 7, it is characterised in that the computing unit, it is each for being calculated according to equation below The new prominence score value ub_adj of nonsystematic task：Ub_adj=i*adj/f+j*adj/t+k*adj/F+l*adj/T,Wherein, i, j, k, l are default weight regulation coefficient, and f is use of each nonsystematic task in nearest predetermined amount of time Frequency, t are usage time of each nonsystematic task in nearest predetermined amount of time, and F is that the total of each nonsystematic task uses frequently Rate, T is total usage time of each nonsystematic task, to each nonsystematic task when adj is the carry out Memory recycle of default Initial importance score value.
- 9. a kind of mobile terminal, it is characterised in that the mobile terminal includes appointing as any one of claim 5 to 8 Business dispatching device.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610802840.9A CN107797851A (en) | 2016-09-05 | 2016-09-05 | Method for scheduling task, device and mobile terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610802840.9A CN107797851A (en) | 2016-09-05 | 2016-09-05 | Method for scheduling task, device and mobile terminal |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107797851A true CN107797851A (en) | 2018-03-13 |
Family
ID=61529683
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610802840.9A Pending CN107797851A (en) | 2016-09-05 | 2016-09-05 | Method for scheduling task, device and mobile terminal |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107797851A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108563506A (en) * | 2018-04-11 | 2018-09-21 | 青岛海信移动通信技术股份有限公司 | The method for recovering internal storage and device of mobile terminal |
| CN111382921A (en) * | 2018-12-29 | 2020-07-07 | 福建金风科技有限公司 | Task matching method of offshore wind generating set, storage medium and computing device |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104598315A (en) * | 2014-12-12 | 2015-05-06 | 广州三星通信技术研究有限公司 | Memory managing method, device and terminal |
| CN104794004A (en) * | 2015-03-17 | 2015-07-22 | 中国石油天然气集团公司 | Information pre-loading method |
| CN105893153A (en) * | 2016-03-31 | 2016-08-24 | 北京百纳威尔无线通信设备有限公司 | Memory cleaning method and device for mobile terminal |
-
2016
- 2016-09-05 CN CN201610802840.9A patent/CN107797851A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104598315A (en) * | 2014-12-12 | 2015-05-06 | 广州三星通信技术研究有限公司 | Memory managing method, device and terminal |
| CN104794004A (en) * | 2015-03-17 | 2015-07-22 | 中国石油天然气集团公司 | Information pre-loading method |
| CN105893153A (en) * | 2016-03-31 | 2016-08-24 | 北京百纳威尔无线通信设备有限公司 | Memory cleaning method and device for mobile terminal |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108563506A (en) * | 2018-04-11 | 2018-09-21 | 青岛海信移动通信技术股份有限公司 | The method for recovering internal storage and device of mobile terminal |
| CN111382921A (en) * | 2018-12-29 | 2020-07-07 | 福建金风科技有限公司 | Task matching method of offshore wind generating set, storage medium and computing device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11272059B2 (en) | Exclusive agent pool allocation method, electronic device, and computer readable storage medium | |
| EP4068090A1 (en) | Container scheduling method and apparatus, and non-volatile computer-readable storage medium | |
| CN108090225B (en) | Database instance running method, device and system and computer readable storage medium | |
| CN103430151B (en) | A kind of resource allocation method and device | |
| CN111045814B (en) | Resource scheduling method and terminal equipment | |
| CN107870981A (en) | Electronic installation, the method and storage medium of tables of data filing processing | |
| EP3735635A1 (en) | A system and method for scheduling workload based on a credit-based mechanism | |
| WO2013082119A1 (en) | Cloud provisioning accelerator | |
| Tang et al. | A framework for amazon ec2 bidding strategy under sla constraints | |
| CN105939225A (en) | Method and device for executing service | |
| CN108770017B (en) | Dynamic equalization method and system for wireless resources | |
| DE102006046184A1 (en) | Power consumption deviation determining method for e.g. notebook personal computer, involves determining whether estimated deviation of maximum permitted power consumption takes place in case of performing new instance of executing process | |
| CN110138688A (en) | Dynamic adjusts method, apparatus, equipment and the readable storage medium storing program for executing of business interface | |
| KR20130021625A (en) | Operating method and portable device supporting the same | |
| CN107729137A (en) | Server, the method and storage medium of the decryption of block chain sign test | |
| CN103023984A (en) | Terminal application server and application log filtering method thereof | |
| US7904689B1 (en) | Just in time storage allocation analysis systems and methods | |
| CN104574051A (en) | Charging method and device | |
| CN110362531A (en) | A kind of automatic archiving method and device | |
| CN109445884A (en) | A kind of functional label methods of exhibiting and terminal device | |
| CN110532100A (en) | Dispatch method, apparatus, terminal and the storage medium of resource | |
| CN110515721A (en) | A kind of application management method, device, terminal and computer storage medium | |
| CN107797851A (en) | Method for scheduling task, device and mobile terminal | |
| CN112711387A (en) | Method and device for adjusting capacity of buffer area, electronic equipment and readable storage medium | |
| CN110266555A (en) | Method for analyzing web site service request |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180313 |