CN104142829A - Method and system for intelligently optimizing function of timer of operation system - Google Patents
Method and system for intelligently optimizing function of timer of operation system Download PDFInfo
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- CN104142829A CN104142829A CN201410379857.9A CN201410379857A CN104142829A CN 104142829 A CN104142829 A CN 104142829A CN 201410379857 A CN201410379857 A CN 201410379857A CN 104142829 A CN104142829 A CN 104142829A
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Abstract
The invention provides a method and system for intelligently optimizing the function of a timer of an operation system. The method comprises the steps that whether corresponding tasks can be executed or not when the timing cycles of the timer of the operation system are reached is monitored, if the corresponding tasks cannot be executed, the timing cycles are prolonged based on the timing cycles of the timer, the stepping values and the threshold value range of the timing cycles to restart the timer, and if the corresponding tasks can be executed, and the corresponding tasks can be executed continuously many times based on the timing cycles, the timing cycles are shortened to restart the timer; in addition, the corresponding timing cycles of the timer in the process of executing the corresponding tasks and the stepping values adopted when the timing cycles are determined can be recorded, effective normal distribution data of the timing cycles and the stepping values in all time frames are determined through statistics of records of many times, the timing cycles and the stepping values are adjusted based on the effective normal distribution data of the timing cycles and the stepping values in all the time frames, and therefore the timing cycles of the timer are intelligently optimized, and the system resource utilization rate is improved to a large degree.
Description
Technical field
The present invention relates to operating system field, particularly relate to a kind of method and system of intelligent optimization operating system timer function.
Background technology
The timing tool that the mankind use is the earliest that hourglass or water leak, but after clock and watch birth is full-fledged, people start to attempt improving timer with this brand-new timing tool, reach the object in accurate control time.Timer is a marvelous invention really, makes the work in the quite a lot of people's of needs control time become simply many.People have even been used in military aspect by timer, have made time bomb, time clock detonator etc.And now, many household electrical appliance especially, for example air-conditioning, micro-wave oven, electromagnetic oven etc., all installed timer and come gauge tap or working time.
In addition, realize time-controlled timer based on software, that is, the timer in Programmable Logic Controller is according to time clock accumulation timing, and time clock has the different sizes such as 1ms, 10ms, 100ms.The course of work of this timer is actually clock pulse count, and it,, except occupying the memory bit of oneself numbering, also occupies a setting value register (word), a currency register (word).The timing time setting value of assignment when setting value register (word) storage programming.Currency when currency register recording gauge.These registers are 16 binary storage devices, and the time of day value that its maximal value is multiplied by timer is the maximum timing range value of timer.When timer meets timing condition, currency register starts counting, in the time that currency currency that register is counted equates with setting value, timer action, that is: normally opened contact is connected, and normally closed contact disconnects, and by program effect in control object, reach the time control object.
In current operating system, often adopt timer to carry out the execution of control task, in the time that timing cycle arrives, system is carried out appointed task.But, because the timing cycle of timer is normally rule of thumb arranged or arranged based on estimated value by developer, cause under many circumstances, when timing cycle arrives and carries out appointed task, the resource of required by task, such as data, other task action result etc. are unripe, appointed task cannot be carried out, now, can only directly exit this scheduling, this has just wasted primary system scheduling.If only have a small amount of timer in system, this waste is insignificant, if timer is a lot, and timing cycle more in short-term, and this system overhead is just obvious.In addition, long if the timing cycle of timer arranges, task can not be processed in time, also can cause task inefficiency.
Therefore, need to be optimized the timing cycle of timer.
Summary of the invention
The shortcoming of prior art in view of the above, the object of the present invention is to provide a kind of method and system of intelligent optimization operating system timer function, to improve timer execution efficiency and overall system performance.
For achieving the above object and other relevant objects, the invention provides a kind of method of intelligent optimization operating system timer function, it at least comprises: when the timing cycle of the timer of monitor operating system arrives, can corresponding task be carried out, if can not carry out, the timing cycle based on described timer, the threshold range of step value and timing cycle is restarted described timer after extending timing cycle, if can carry out, and all can carry out based on this timing cycle continuous several times corresponding task, the timing cycle based on described timer, the threshold range of step value and timing cycle is restarted described timer after shortening timing cycle.
Alternatively, the method of described intelligent optimization operating system timer function also comprises: the timing cycle of timer when recording corresponding task and can carrying out, and record repeatedly of statistics determines the effective normal distribution data of day part timer timing cycle, and stored; And then alternatively, the method for described intelligent optimization operating system timer function also comprises: determine timer timing cycle initial value based on the effective normal distribution data of day part timer timing cycle.
Alternatively, the method of described intelligent optimization operating system timer function also comprises: the step value that the timing cycle of record corresponding timer in the time that corresponding task can be carried out is adopted in the time being determined, and record repeatedly of statistics determines the effective normal distribution data of day part step value, and stored; And then alternatively, the method of described intelligent optimization operating system timer function also comprises: the relevant information that when the timer timing cycle after step value, the change adopting while change based on timing cycle arrives, can corresponding task be carried out, determine whether to adjust step value, and in the time of definite need to adjustment, adjust step value based on the effective normal distribution data of day part step value.
The present invention also provides a kind of optimization system of intelligent optimization operating system timer function, it at least comprises: processing module, while arrival for the timing cycle of the timer of monitor operating system, can corresponding task be carried out, if can not carry out, the timing cycle based on described timer, the threshold range of step value and timing cycle is restarted described timer after extending timing cycle, if can carry out, and all can carry out based on this timing cycle continuous several times corresponding task, the timing cycle based on described timer, the threshold range of step value and timing cycle is restarted described timer after shortening timing cycle.
Alternatively, described optimization system also comprises: the first statistical module, and the timing cycle of timer can carry out for recording corresponding task time, and record repeatedly of statistics determines the effective normal distribution data of day part timer timing cycle, and stored; And then alternatively, described optimization system also comprises: determination module, and for determining timer timing cycle initial value based on the effective normal distribution data of day part timer timing cycle.
Alternatively, described optimization system also comprises: the second statistical module, the step value being adopted in the time being determined for the timing cycle that records timer corresponding in the time that corresponding task can be carried out, and statistics record repeatedly determines the effective normal distribution data of day part step value, and stored; And then alternatively, described optimization system also comprises: adjusting module, the relevant information that when timer timing cycle after step value, the change that is used for adopting while change based on timing cycle arrives, can corresponding task be carried out, determine whether to adjust step value, and in the time of definite need to adjustment, adjust step value based on the effective normal distribution data of day part step value.
As mentioned above, the method and system of intelligent optimization operating system timer function of the present invention, have following beneficial effect: in the cycle of energy intelligent optimization timer, effectively improve timer execution efficiency and overall system performance.
Brief description of the drawings
Fig. 1 is shown as the process flow diagram of the method for intelligent optimization operating system timer function of the present invention.
Fig. 2 is shown as the optimization system schematic diagram of intelligent optimization operating system timer function of the present invention.
Element numbers explanation
1 optimization system
11 processing modules
S1 step
Embodiment
Below, by specific instantiation explanation embodiments of the present invention, those skilled in the art can understand other advantages of the present invention and effect easily by the disclosed content of this instructions.The present invention can also be implemented or be applied by other different embodiment, and the every details in this instructions also can be based on different viewpoints and application, carries out various modifications or change not deviating under spirit of the present invention.
Refer to Fig. 1 to Fig. 2.It should be noted that, the diagram providing in the present embodiment only illustrates basic conception of the present invention in a schematic way, satisfy and only show with assembly relevant in the present invention in graphic but not component count, shape and size drafting while implementing according to reality, when its actual enforcement, kenel, quantity and the ratio of each assembly can be a kind of random change, and its assembly layout kenel also may be more complicated.
As shown in Figure 1, the invention provides a kind of method of intelligent optimization operating system timer function.Wherein, the method according to this invention mainly completes by optimization system, and this optimization system includes but not limited to be arranged in the operating system of computer equipment and can realize application module of the present invention program etc.Wherein, this computer equipment comprises that any needs installation is built-in with the equipment of the operating system of timer function, for example, and personal computer, the webserver, smart mobile phone, panel computer, PDA etc.
Wherein, method of the present invention at least comprises step S1.
In step S1, when the timing cycle of the timer of described optimization system monitor operating system arrives, can corresponding task be carried out, if can not carry out, the threshold range of the timing cycle based on described timer, step value and timing cycle is restarted described timer after extending timing cycle, if can carry out, and all can carry out based on this timing cycle continuous several times corresponding task, the threshold range of the timing cycle based on described timer, step value and timing cycle is restarted described timer after shortening timing cycle.
Particularly, when the timing cycle t1 of the timer of described optimization system monitor operating system arrives, the task that timer is corresponding can not be carried out, after described optimization system is added the timing cycle t1 of this timer and step value Δ t, then the result that obtains of judgement (whether t1+ Δ t) at the threshold range (t of timing cycle
min, t
max), if, using be added after result (t1+ Δ t) as renewal use timing cycle, otherwise, if (t1+ Δ t)≤t
min, by the corresponding endpoint t of the threshold range of timing cycle
minas upgrading the timing cycle of use, if (t1+ Δ t)>=t
max, by the corresponding endpoint t of the threshold range of timing cycle
maxas the timing cycle that upgrades use; If when the timing cycle t1 of the timer of described optimization system monitor operating system arrives, the task that timer is corresponding can be carried out, and the task based on this timing cycle continuous several times is corresponding all can be carried out, after described optimization system is subtracted each other the timing cycle t1 of this timer and a step value Δ t, then the result that obtains of judgement (whether t1-Δ t) at the threshold range (t of timing cycle
min, t
max), if, the result after subtracting each other (t1-Δ is t) as upgrading the timing cycle of use, otherwise, if (t1-Δ t)≤t
min, by the corresponding endpoint t of the threshold range of timing cycle
minas upgrading the timing cycle of use, if (t1-Δ t)>=t
max, by the corresponding endpoint t of the threshold range of timing cycle
maxas the timing cycle that upgrades use; Subsequently, the timing cycle of described optimization system based on upgrading use upgrades after the timing cycle of this timer, and restarts this timer.
As a kind of optimal way, aforesaid threshold values scope, step value and judging whether can shorten the number of times that timing cycle limits and can preset.
As another kind of optimal way, threshold range and judging whether can shorten the number of times that timing cycle limits and preset, and step value can be adjusted based on actual conditions, specifically can comprise step S2 and S3.
In step S2, the step value that the timing cycle of described optimization system record corresponding timer when corresponding task can be carried out is adopted in the time being determined, and the record of adding up repeatedly determines the effective normal distribution data of day part step value, and stored.
For example, the timing cycle of timer T1 is that Δ t11 calculates based on step value, for t11, when the timing cycle t11 of this timer T1 arrives, corresponding task X11 can carry out, described optimization system determines that this step value Δ t11 is effective, and records this step value Δ t11 and the time of step value Δ t11 when effective, the more effective normal distribution data of day part step value determined in statistics record repeatedly.
In step S3, the relevant information that when timer timing cycle after step value, change that described optimization system adopts while change based on timing cycle arrives, can corresponding task be carried out, determine whether to adjust step value, and in the time of definite need to adjustment, adjust step value based on the effective normal distribution data of day part step value.
For example, described optimization system is updated to t12+ Δ t12 based on step value Δ t12 by the timing cycle of timer T2, in the time that the timing cycle (t12+ Δ t12) of timer T2 arrives, corresponding task X12 still can not carry out, described optimization system determine need to adjust step value, and using the step value corresponding corresponding period in effective day part step value normal distribution data as again change timer T2 timing cycle time step value.
Again for example, the initial timing cycle of timer T3 is t13, in the time that the timing cycle t13 of timer T3 arrives, corresponding task X13 still can not carry out, described optimization system is determined and need to be adjusted step value, and using the step value corresponding corresponding period in effective day part step value normal distribution data as upgrade timer T2 timing cycle time initial step value.
As another kind of optimal way, threshold range and judging whether can shorten the number of times that timing cycle limits and preset, and step value can be based on pre-defined algorithm, and such as dichotomy, threefold division etc. are adjusted.
For example, the corresponding period of described optimization system based in the effective normal distribution data of day part step value, the timing cycle of timer T21 is extended for t21+ Δ t21 by corresponding step value Δ t21, in the time that the timing cycle (t21+ Δ t21) of timer T21 arrives, corresponding task X21 can not carry out, described optimization system is determined and need to be adjusted step value, and based on dichotomy using the half of current step value Δ t21 as upgrade timer T2 timing cycle time step value.
Again for example, described optimization system shortens to t22-Δ t22 based on step value Δ t22 by the timing cycle of timer T22, in the time that the timing cycle (t22-Δ t22) of timer T22 arrives, corresponding task X22 can not carry out, described optimization system is determined and need to be adjusted step value, and step value during using 1/3rd timing cycle as renewal timer T22 of current step value Δ t22.
As a kind of preferred version, method of the present invention also comprises step S4 and S5.
In step S4, the timing cycle of described optimization system records corresponding task can carry out time corresponding timer, and statistics record repeatedly determines the effective normal distribution data of day part timer timing cycle, and stored.
For example, the timing cycle of timer T4 is t14, when the timing cycle t14 of this timer T4 arrives, corresponding task X14 can carry out, described optimization system determines that this timing cycle t14 is effective, and record this timing cycle t14 and the time of timing cycle t14 when effective, then statistics record repeatedly determines the effective normal distribution data of day part timer timing cycle, and stored.
In step S5, described optimization system is determined timer timing cycle initial value based on the effective normal distribution data of day part timer timing cycle.
For example, in the time of initialization operation system Y1, described optimization system determines that based on the effective normal distribution data of day part timer timing cycle the initial value of the timing cycle of the timer T5 of this operating system Y1 is t15.
As shown in Figure 2, the invention provides a kind of optimization system of intelligent optimization operating system timer function.This optimization system 1 at least comprises: processing module 11.
When the timing cycle of the timer of described processing module 11 monitor operating systems arrives, can corresponding task be carried out, if can not carry out, the threshold range of the timing cycle based on described timer, step value and timing cycle is restarted described timer after extending timing cycle, if can carry out, and all can carry out based on this timing cycle continuous several times corresponding task, the threshold range of the timing cycle based on described timer, step value and timing cycle is restarted described timer after shortening timing cycle.
Particularly, when the timing cycle t1 of the timer of described processing module 11 monitor operating systems arrives, the task that timer is corresponding can not be carried out, after described processing module 11 is added the timing cycle t1 of this timer and step value Δ t, then the result that obtains of judgement (whether t1+ Δ t) at the threshold range (t of timing cycle
min, t
max), if, using be added after result (t1+ Δ t) as renewal use timing cycle, otherwise, if (t1+ Δ t)≤t
min, by the threshold range (t of timing cycle
min, t
max) corresponding endpoint t
minas upgrading the timing cycle of use, if (t1+ Δ t)>=t
max, by the threshold range (t of timing cycle
min, t
max) corresponding endpoint t
maxas the timing cycle that upgrades use; If when the timing cycle t1 of the timer of described processing module 11 monitor operating systems arrives, the task that timer is corresponding can be carried out, and the task based on this timing cycle continuous several times is corresponding all can be carried out, after described processing module 11 is subtracted each other the timing cycle t1 of this timer and a step value Δ t, then the result that obtains of judgement (whether t1-Δ t) at the threshold range (t of timing cycle
min, t
max), if, the result after subtracting each other (t1-Δ is t) as upgrading the timing cycle of use, otherwise, if (t1-Δ t)≤t
min, by the threshold range (t of timing cycle
min, t
max) corresponding endpoint t
minas upgrading the timing cycle of use, if (t1-Δ t)>=t
max, by the threshold range (t of timing cycle
min, t
max) corresponding endpoint t
maxas the timing cycle that upgrades use; Subsequently, the timing cycle of described processing module 11 based on upgrading use upgrades after the timing cycle of this timer, and restarts this timer.
As a kind of optimal way, threshold range, step value and judging whether can shorten the number of times that timing cycle limits and can preset.
As another kind of optimal way, threshold range and judging whether can shorten the number of times that timing cycle limits and preset, and step value can be adjusted based on actual conditions, and particularly, described optimization system 1 can comprise: the second statistical module and adjusting module.
The step value that the timing cycle of described the second statistical module record corresponding timer when corresponding task can be carried out is adopted in the time being determined, and the record of adding up repeatedly determines the effective normal distribution data of day part step value, and stored.
For example, the timing cycle of timer T1 is that Δ t11 calculates based on step value, for t11, when the timing cycle t11 of this timer T1 arrives, corresponding task X11 can carry out, described the second statistical module determines that this step value Δ t11 is effective, and records this step value Δ t11 and the time of step value Δ t11 when effective, the more effective normal distribution data of day part step value determined in statistics record repeatedly.
The relevant information that when timer timing cycle after step value, change that described adjusting module adopts while change based on timing cycle arrives, can corresponding task be carried out, determine whether to adjust step value, and in the time of definite need to adjustment, adjust step value based on the effective normal distribution data of day part step value.
For example, described processing module 11 is updated to t12+ Δ t12 based on step value Δ t12 by the timing cycle of timer T2, in the time that the timing cycle (t12+ Δ t12) of timer T2 arrives, corresponding task X12 still can not carry out, described adjusting module determine need to adjust step value, and using the step value corresponding corresponding period in effective day part step value normal distribution data as again change timer T2 timing cycle time step value.
Again for example, the initial timing cycle of timer T3 is t13, in the time that the timing cycle t13 of timer T3 arrives, corresponding task X13 still can not carry out, described adjusting module is determined and need to be adjusted step value, and using the step value corresponding corresponding period in effective day part step value normal distribution data as upgrade timer T2 timing cycle time initial step value.
As another kind of optimal way, threshold range and judging whether can shorten the number of times that timing cycle limits and preset, and step value can be based on pre-defined algorithm, and such as dichotomy, threefold division etc. are adjusted.
For example, the corresponding period of described processing module 11 based in the effective normal distribution data of day part step value, the timing cycle of timer T21 is extended for t21+ Δ t21 by corresponding step value Δ t21, in the time that the timing cycle (t21+ Δ t21) of timer T21 arrives, corresponding task X21 can not carry out, described processing module 11 is determined and need to be adjusted step value, and based on dichotomy using the half of current step value Δ t21 as upgrade timer T2 timing cycle time step value.
Again for example, described optimization system shortens to t22-Δ t22 based on step value Δ t22 by the timing cycle of timer T22, in the time that the timing cycle (t22-Δ t22) of timer T22 arrives, corresponding task X22 can not carry out, described processing module 11 is determined and need to be adjusted step value, and step value during using 1/3rd timing cycle as renewal timer T22 of current step value Δ t22.
As a kind of preferred version, described optimization system 1 also comprises the first statistical module and determination module.
The timing cycle of described the first statistical module records corresponding task can carry out time corresponding timer, and statistics record repeatedly determines the effective normal distribution data of day part timer timing cycle, and stored.
For example, the timing cycle of timer T4 is t14, when the timing cycle t14 of this timer T4 arrives, corresponding task X14 can carry out, described the first statistical module determines that this timing cycle t14 is effective, and record this timing cycle t14 and the time of timing cycle t14 when effective, then statistics record repeatedly determines the effective normal distribution data of day part timer timing cycle, and stored.
Described determination module is determined timer timing cycle initial value based on the effective normal distribution data of day part timer timing cycle.
For example, in the time of initialization operation system Y1, described determination module determines that based on the effective normal distribution data of day part timer timing cycle the initial value of the timing cycle of the timer T5 of this operating system Y1 is t15.
In sum, the method and system of intelligent optimization operating system timer function of the present invention arrange threshold range for each timer provides, the timing upper limit and lower limit function, in the timer course of work, the effectively probability distribution of work of statistics timer, the cycle of intelligent optimization timer, the Mode change that tradition is rule of thumb estimated to arrange timing cycle by developer is according to the Effective Probability of actual use distribute the pattern of dynamic optimization, compared with existing operating system timer, the timer of intelligent optimization of the present invention has the function of automatic equalization system load, can greatly improve system performance, save hardware resource, and, by statistical learning, can calculate the step value of more effective timing cycle, improve the handling capacity of system.So the present invention has effectively overcome various shortcoming of the prior art and tool high industrial utilization.
Above-described embodiment is illustrative principle of the present invention and effect thereof only, but not for limiting the present invention.Any person skilled in the art scholar all can, under spirit of the present invention and category, modify or change above-described embodiment.Therefore, such as in affiliated technical field, have and conventionally know that the knowledgeable, not departing from all equivalence modifications that complete under disclosed spirit and technological thought or changing, must be contained by claim of the present invention.
Claims (10)
1. a method for intelligent optimization operating system timer function, is characterized in that, the method for described intelligent optimization operating system timer function at least comprises:
When the timing cycle of the timer of monitor operating system arrives, can corresponding task be carried out, if can not carry out, the threshold range of the timing cycle based on described timer, step value and timing cycle is restarted described timer after extending timing cycle, if can carry out, and all can carry out based on this timing cycle continuous several times corresponding task, the threshold range of the timing cycle based on described timer, step value and timing cycle is restarted described timer after shortening timing cycle.
2. the method for intelligent optimization operating system timer function according to claim 1, characterized by further comprising: the timing cycle of timer when recording corresponding task and can carrying out, and record repeatedly of statistics determines the effective normal distribution data of day part timer timing cycle, and stored.
3. the method for intelligent optimization operating system timer function according to claim 2, characterized by further comprising: determine timer timing cycle initial value based on the effective normal distribution data of day part timer timing cycle.
4. the method for intelligent optimization operating system timer function according to claim 1, characterized by further comprising: the step value that the timing cycle of record corresponding timer in the time that corresponding task can be carried out is adopted in the time being determined, and record repeatedly of statistics determines the effective normal distribution data of day part step value, and stored.
5. the method for intelligent optimization operating system timer function according to claim 4, it is characterized in that: the relevant information that when the timer timing cycle after step value, the change adopting while change based on timing cycle arrives, can corresponding task be carried out, determine whether to adjust step value, and in the time of definite need to adjustment, adjust step value based on the effective normal distribution data of day part step value.
6. an optimization system for intelligent optimization operating system timer function, is characterized in that, the optimization system of described intelligent optimization operating system timer function at least comprises:
Processing module, while arrival for the timing cycle of the timer of monitor operating system, can corresponding task be carried out, if can not carry out, the threshold range of the timing cycle based on described timer, step value and timing cycle is restarted described timer after extending timing cycle, if can carry out, and all can carry out based on this timing cycle continuous several times corresponding task, the threshold range of the timing cycle based on described timer, step value and timing cycle is restarted described timer after shortening timing cycle.
7. the optimization system of intelligent optimization operating system timer function according to claim 6, characterized by further comprising: the first statistical module, the timing cycle of timer can carry out for recording corresponding task time, and record repeatedly of statistics determines the effective normal distribution data of day part timer timing cycle, and stored.
8. the optimization system of intelligent optimization operating system timer function according to claim 7, characterized by further comprising: determination module, and for determining timer timing cycle initial value based on the effective normal distribution data of day part timer timing cycle.
9. the optimization system of intelligent optimization operating system timer function according to claim 6, characterized by further comprising: the second statistical module, the step value being adopted in the time being determined for recording the timing cycle of timer corresponding in the time that corresponding task can be carried out, and record repeatedly of statistics determines the effective normal distribution data of day part step value, and stored.
10. the optimization system of intelligent optimization operating system timer function according to claim 9, it is characterized in that: adjusting module, the relevant information that when timer timing cycle after step value, the change that is used for adopting while change based on timing cycle arrives, can corresponding task be carried out, determine whether to adjust step value, and in the time of definite need to adjustment, adjust step value based on the effective normal distribution data of day part step value.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1713630A (en) * | 2004-06-25 | 2005-12-28 | 华为技术有限公司 | Method for triggering related timer |
| CN101206584A (en) * | 2006-12-18 | 2008-06-25 | 上海未来宽带技术及应用工程研究中心有限公司 | Method for implementing non accumulation inaccuracy and self-adaption timer |
| CN101840353A (en) * | 2010-05-14 | 2010-09-22 | 陈冬岩 | Dynamic timing method for real-time embedded operating system |
| US7926040B2 (en) * | 2006-09-06 | 2011-04-12 | International Business Machines Corporation | Method and system for timing code execution in a korn shell script |
| CN101673222B (en) * | 2009-11-03 | 2012-02-29 | 东方电子股份有限公司 | Implementation method of task timer in multi-path selection mode of VxWorks system |
-
2014
- 2014-08-04 CN CN201410379857.9A patent/CN104142829B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1713630A (en) * | 2004-06-25 | 2005-12-28 | 华为技术有限公司 | Method for triggering related timer |
| US7926040B2 (en) * | 2006-09-06 | 2011-04-12 | International Business Machines Corporation | Method and system for timing code execution in a korn shell script |
| CN101206584A (en) * | 2006-12-18 | 2008-06-25 | 上海未来宽带技术及应用工程研究中心有限公司 | Method for implementing non accumulation inaccuracy and self-adaption timer |
| CN101673222B (en) * | 2009-11-03 | 2012-02-29 | 东方电子股份有限公司 | Implementation method of task timer in multi-path selection mode of VxWorks system |
| CN101840353A (en) * | 2010-05-14 | 2010-09-22 | 陈冬岩 | Dynamic timing method for real-time embedded operating system |
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