CN104794004A - Information pre-loading method - Google Patents
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Abstract
The invention provides an information pre-loading method. The information pre-loading method includes the following steps that within the use permission range of a user, the total use frequency, the use frequency within the set time range and the continuous use frequency within the set time range of information of the user are acquired; the preference degree of the user for the information is determined according to the total use frequency, the use frequency within the set time range and the continuous use frequency within the set time range; pre-loading information corresponding to the user is determined according to the preference degree of the user for the information; the pre-loading information is pre-loaded. User experience is improved.
Description
Technical field
The present invention relates to petroleum exploration and development Geographic Information System, especially relate to a kind of method of information prestrain.
Background technology
In petroleum exploration and development Geographic Information System, relate to and gather a large amount of function such as deployment diagram, profile plot, well location information and data, according to the difference in user post, the difference of data security requirement, need to have each user to arrange the functional module of permission to use and the data of permits access.In numerous functional modules of subscriber authorisation permission to use, according to user's specialty or the difference of individual preference, user often can use wherein sub-fraction functional module, and seldom uses part of functions module and even do not use.
In existing application system, generally take, for each user forms an independent configuration, when system starts, to load whole functions, when user accesses certain function, inquire about the configuration information of this user again, determine to allow use this function or prohibit the use this function.Because petroleum exploration and development Geographic Information System relates to functional module Numerous, cause system toggle speed slow, and take a large amount of internal memory.
The data class related to due to petroleum exploration and development Geographic Information System is various, data volume is large, in existing application system, when which partial data general employing user use, just communicate with background server and obtain the mode of this blocks of data, even if there is caching mechanism, also the used data of a cache user, cause needing during user's usage data to wait for the long period, Consumer's Experience poor effect.
Summary of the invention
The object of the present invention is to provide a kind of method of information prestrain, to improve the experience of user.
For achieving the above object, the invention provides a kind of method of information prestrain, comprising the following steps:
Within the scope of user's rights of using, obtain user to usage frequency continuously within the scope of usage frequency within the scope of the overall usage frequency of information, setting-up time and setting-up time;
The preference of this user to information is determined according to usage frequency continuous within the scope of usage frequency within the scope of described overall usage frequency, described setting-up time and described setting-up time;
The preload information corresponding to this user is determined according to the preference of this user to information;
Prestrain is carried out to described preload information.
The method of information prestrain of the present invention, described according to described overall usage frequency, described counting user to usage frequency continuously within the scope of usage frequency within the scope of the overall usage frequency of information, setting-up time and setting-up time, specifically comprise:
According to formula
calculate the overall usage frequency TF of this user to information, wherein,
represent overall frequency of utilization to described information, f (n) be calculate according to sample space n accept and believe value, α is to described
degree of accepting and believing;
According to formula
calculate this user to usage frequency RU within the scope of the setting-up time of information, wherein, β
ifor the weighting coefficient of each service condition within the scope of setting-up time, γ
ifor continuous coefficients within the scope of setting-up time, i is access times within the scope of setting-up time, and m is continuous access times within the scope of setting-up time;
According to formula RC=γ
kcalculate this user to frequency RC continuous within the scope of the setting-up time of information, wherein, γ is continuous coefficient of performance within the scope of setting-up time, and k is continuous access times within the scope of setting-up time.
The method of information prestrain of the present invention, describedly determines the preference of this user to information according to usage frequency continuous within the scope of usage frequency within the scope of described overall usage frequency, described setting-up time and described setting-up time, is specially:
The preference P of this user to information is calculated according to formula P=TF+RU+RC, wherein, TF is the overall usage frequency of this user to information, RU be this user to usage frequency within the scope of the setting-up time of information, RC is that this user is to frequency continuous within the scope of the setting-up time of information.
The method of information prestrain of the present invention, described information comprises the functional module in described petroleum exploration and development Geographic Information System.
The method of information prestrain of the present invention, also comprises:
Set up functional module dependence table, to guarantee that the functional module that the functional module be preloaded relies on also is preloaded.
In addition, present invention also offers the method for another kind of information prestrain, comprise the following steps:
Obtain user to using within the scope of the overall usage frequency of data block, setting-up time frequently, within the scope of setting-up time the size adjusted value of usage frequency and data block and far-end coefficient continuously;
Size adjusted value and far-end coefficient according to using usage frequency and data block continuously within the scope of frequency, setting-up time within the scope of described overall usage frequency, setting-up time determine the preference of this user to information;
The preload information corresponding to this user is determined according to the preference of this user to information;
Prestrain is carried out to described preload information.
The method of information prestrain of the present invention, described acquisition user is the size adjusted value of usage frequency and data block and far-end coefficient continuously to using within the scope of the overall usage frequency of data block, setting-up time frequently, within the scope of setting-up time, specifically comprises:
According to formula
calculate the overall usage frequency TF of this user to information, wherein,
represent overall frequency of utilization to described information, f (n) be calculate according to sample space n accept and believe value, α is to described
degree of accepting and believing;
According to formula
calculate this user to usage frequency RU within the scope of the setting-up time of information, wherein, β
ifor the weighting coefficient of each service condition within the scope of setting-up time, γ
ifor continuous coefficients within the scope of setting-up time, i is access times within the scope of setting-up time, and m is continuous access times within the scope of setting-up time;
According to formula RC=γ
kcalculate this user to frequency RC continuous within the scope of the setting-up time of information, wherein, γ is continuous coefficient of performance within the scope of setting-up time, and k is continuous access times within the scope of setting-up time;
According to formula
obtain the size adjusted value FS of data block, wherein, the priority of the value larger expression prestrain of FS is higher, and S is the size of data block, and c is the size of buffer memory, and δ is regulation coefficient;
According to formula
obtain the far-end coefficient FR of data block, wherein, when data block is local storage, its value is 1, and when data block is remote storage, its value is
be greater than 1 and the loading velocity of its size and data block is inversely proportional to.
The method of information prestrain of the present invention, described size adjusted value and far-end coefficient according to using usage frequency and data block continuously within the scope of frequency, setting-up time within the scope of described overall usage frequency, setting-up time determines the preference of this user to information, is specially:
The preference P of this user to information is calculated according to formula P=(TF+RU+RC+FS) FR, wherein, TF is the overall usage frequency of this user to information, RU is that this user is to usage frequency within the scope of the setting-up time of information, RC is that this user is to frequency continuous within the scope of the setting-up time of information, FS is the size adjusted value of data block, and FR is the far-end coefficient of data block.
The method of information prestrain of the present invention, described information comprises the data in the functional module in described petroleum exploration and development Geographic Information System.
The method of information prestrain of the present invention, when the size of data block is greater than the size of buffer memory, abandons loading this data block.
The present invention, within the scope of user's rights of using, obtains user to usage frequency continuously within the scope of usage frequency within the scope of the overall usage frequency of information, setting-up time and setting-up time; The preference of this user to information is determined according to usage frequency continuous within the scope of usage frequency within the scope of described overall usage frequency, described setting-up time and described setting-up time; The preload information corresponding to this user is determined according to the preference of this user to information; Prestrain is carried out to described preload information, as can be seen here, the present invention is have continuity and phasic characteristics introduces time series models according to the work of user, thus the information of user preference can be gone out by selecting properly, this information of a pre-load user preference when system starts, thus under the prerequisite ensureing EMS memory occupation, system loads efficiency can be improved, improve experience effect during user's usage data.
Accompanying drawing explanation
Accompanying drawing described herein is used to provide a further understanding of the present invention, forms a application's part, does not form limitation of the invention.In the accompanying drawings:
Fig. 1 is the method flow diagram of the information prestrain of one embodiment of the invention;
Fig. 2 is the method flow diagram of the information prestrain of another embodiment of the present invention.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly understand, below in conjunction with embodiment and accompanying drawing, the present invention is described in further details.At this, schematic description and description of the present invention is for explaining the present invention, but not as a limitation of the invention.
The present inventor notices that petroleum exploration and development Geographic Information System user types is many, functional module is many, data class is many, but during specific to certain user, due to highly professional, the functional module that each user often uses, the scope of data is relatively little, there is this feature of good predictability, if employ which functional module to user and data carry out track record at every turn, the use preference of user can be understood, thus the part of functions module of user preference is only loaded when system starts, load the data block of a part of user preference from server prediction simultaneously, can under the prerequisite ensureing EMS memory occupation, improve system loads efficiency, improve experience effect during user's usage data.
In addition, the present inventor also finds the prediction of traditional user preference, and counting user to total usage frequency of all functions module or data, and thinks that several functional module that total usage frequency is the highest or data are the most preferences of user.The actual user of thinking of this Forecasting Methodology uses during system at every turn and uses which functional module or data to be independent of each other, and namely any use for twice during system uses which functional module or data to there is not correlationship.But, by the present inventor, the actual use record of user is analyzed, find this forecast model and be not suitable for, the work of user has continuity and stage, such as by analyzing the actual use record of user, find more commonly similar following operative scenario: work is divided into three phases, and the first stage uses modules A, B, C, lasts 3 months; Subordinate phase uses modules A, D, E, lasts 1 week; First stage uses modules A, F, G, lasts 2 weeks.
Can find out, when using sum statistics, three modules that frequency of utilization is the highest always are it is A, B, C, if each all these three modules of prestrain A, B, C of program, so when work progress is to two or three stage, only have the prestrain of modules A to be correct, the prestrain of B, C module is insignificant.Therefore, user employs this microcomputer statistical information of which module recently several times, needs next time to use which functional module important in inhibiting for prediction user.Therefore the present invention introduces time series models to improve the accuracy of prediction.
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described in further detail.
Shown in figure 1, the method for the information prestrain of one embodiment of the invention comprises the steps:
S101, within the scope of user's rights of using, obtain user to usage frequency continuously within the scope of usage frequency within the scope of the overall usage frequency of information, setting-up time and setting-up time.Concrete,
According to formula
calculate the overall usage frequency TF of this user to information, wherein,
represent overall frequency of utilization to described information, f (n) be calculate according to sample space n accept and believe value, α is to described
degree of accepting and believing, generally, the degree of correlation between adjacent twice selection of user is lower, and the value of α is larger; N is larger, then think that the overall usage frequency TF counted is more credible, generally select f (n)=log (n), but the present invention is not limited to this selection.
According to formula
calculate this user to usage frequency RU within the scope of the setting-up time of information, wherein, β
ifor the weighting coefficient of each service condition within the scope of setting-up time, γ
ifor continuous coefficients within the scope of setting-up time, i is access times within the scope of setting-up time, and m is continuous access times within the scope of setting-up time.
According to formula RC=γ
kcalculate this user to frequency RC continuous within the scope of the setting-up time of information, wherein, γ is continuous coefficient of performance within the scope of setting-up time, and k is continuous access times within the scope of setting-up time.If user employs this functional module the last time, then the number of times that uses continuously in the recent period of user is more, shows that user is using this functional module in the recent period continuously, continues next time to use the probability of this functional module higher.For the selection of γ value, continuity and the stage of general user's work are stronger, and the value of γ is larger.
S102, determine the preference of this user to information according to usage frequency continuous within the scope of usage frequency within the scope of described overall usage frequency, described setting-up time and described setting-up time.Concrete, can calculate the preference P of this user to information according to formula P=TF+RU+RC, wherein, TF is the overall usage frequency of this user to information, RU be this user to usage frequency within the scope of the setting-up time of information, RC is that this user is to frequency continuous within the scope of the setting-up time of information.
The embodiment of the present invention, when calculating user and using preference, to employ within the scope of overall usage frequency that user uses, setting-up time in usage frequency (namely using usage frequency in the recent period), setting-up time continuous usage frequency (namely using usage frequency continuously in the recent period) three kinds of statisticss to predict which functional module user can use next time.If user employs system n time altogether, the behaviour in service that recording user is nearest m time, for arbitrary functional module, if its total access times are x, recent m behaviour in service is respectively y1, y2 ... ym, if the last time employs this functional module, then y1 is 1, otherwise is 0; If nearest i-th time employs this functional module, then yi is 1, otherwise is 0.
S103, determine to correspond to the preload information of this user according to the preference of this user to information.Information in the embodiment of the present invention is the functional module in petroleum exploration and development Geographic Information System, after obtaining the prestrain preference of all functions module, sort, according to the functional module prestrain number of setting, by preference calculated value order from big to small, the functional module of number is specified in prestrain.Such as: have 30 functional modules, setting prestrain 10 functional modules, then after 30 functional modules being sorted from big to small by preference calculated value, 10 functional modules of getting preference calculated value maximum load, all the other modules reload when user uses, otherwise do not load.
S104, prestrain is carried out to described preload information.
In addition, in embodiments of the present invention, functional module dependence table can be set up, to guarantee that the functional module that the functional module be preloaded relies on also is preloaded.Its structure example is as shown in the table:
| Field name | Title |
| ID | Preference Record ID |
| UserID | User ID |
| ModuleID | Functional module ID |
| TotalNum | Total access times |
| RecentTimes | Behaviour in service several times recently |
| Priority | Priority valve |
| LoadOrNot | Whether be loaded |
Wherein RecentTimes is used for recording recently behaviour in service several times, such as: when only recording the behaviour in service of nearest 5 times, value " 10011 " represents that user uses in native system process at nearest 5 times, the the 1st, 2 time nearest user employs this functional module, the the 3rd, 4 time nearest user does not use this functional module, and nearest the 5th user employs this functional module.
As can be seen here, in the embodiment of the present invention, what prestrain used is not fixed mode, the i.e. more preferential or nearest frequent privilege of access of total access times, but the mode of operation (continuity and stage) of system is used according to user, set coefficient, thus reach optimum prediction effect.In actual implementation process, the selection of each coefficient has very important impact for the effect of prestrain, when setting coefficient, the function first not opening prestrain can be adopted, which functional module recording user employs each time, after collecting abundant information, therefrom find out rule, each coefficient that manual setting prestrain calculates, or with optimum prediction accuracy rate for target, use the method for machine learning to analyze collecting sample, automatically set coefficient, and constantly carry out adjusting and optimizing along with the increase of the access times of user.
Shown in figure 2, the method for the information prestrain of another embodiment of the present invention comprises the steps:
S201, obtain user to using within the scope of the overall usage frequency of data block, setting-up time frequently, within the scope of setting-up time the size adjusted value of usage frequency and data block and far-end coefficient continuously.Concrete:
According to formula
calculate the overall usage frequency TF of this user to information, wherein,
represent overall frequency of utilization to described information, f (n) be calculate according to sample space n accept and believe value, α is to described
degree of accepting and believing; Generally, the degree of correlation between adjacent twice selection of user is lower, and the value of α is larger; N is larger, then think that the overall usage frequency TF counted is more credible, generally select f (n)=log (n), but the present invention is not limited to this selection.
According to formula
calculate this user to usage frequency RU within the scope of the setting-up time of information, wherein, β
ifor the weighting coefficient of each service condition within the scope of setting-up time, γ
ifor continuous coefficients within the scope of setting-up time, i is access times within the scope of setting-up time, and m is continuous access times within the scope of setting-up time.
According to formula RC=γ
kcalculate this user to frequency RC continuous within the scope of the setting-up time of information, wherein, γ is continuous coefficient of performance within the scope of setting-up time, and k is continuous access times within the scope of setting-up time.
According to formula
obtain the size adjusted value FS of data block, wherein, the priority of the value larger expression prestrain of FS is higher, and S is the size of data block, and c is the size of buffer memory, and δ is regulation coefficient.
According to formula
obtain the far-end coefficient FR of data block, wherein, when data block is local storage, its value is 1, and when data block is remote storage, its value is
be greater than 1 and the loading velocity of its size and data block is inversely proportional to.
S202, according to using frequently within the scope of described overall usage frequency, setting-up time, within the scope of setting-up time, the size adjusted value of usage frequency and data block and far-end coefficient determine the preference of this user to information continuously.Be specially:
The preference P of this user to information is calculated according to formula P=(TF+RU+RC+FS) FR, wherein, TF is the overall usage frequency of this user to information, RU is that this user is to usage frequency within the scope of the setting-up time of information, RC is that this user is to frequency continuous within the scope of the setting-up time of information, FS is the size adjusted value of data block, and FR is the far-end coefficient of data block.In the embodiment of the present invention, when the size of data block is greater than the size of buffer memory, abandon loading this data block.
S203, determine to correspond to the preload information of this user according to the preference of this user to information.
S204, prestrain is carried out to described preload information.
In the embodiment of the present invention, described information comprises functional module in described petroleum exploration and development Geographic Information System and interior data thereof.Certain described information also can be only comprise the data in the functional module in described petroleum exploration and development Geographic Information System.
As can be seen here, the data prestrain of the embodiment of the present invention similar with the prestrain of above-mentioned functions module, but there are 2 differences, one is need the data of prestrain to be positioned at this locality, also may be positioned on the server of far-end, if there are the data that two pieces of user preference degree are close, preferentially prestrain should be positioned at the data on far-end server, because the data loading far-end need to spend the more time, the effect of prestrain is more obvious, and be positioned at local data even without carrying out prestrain, reload during use and also can not cost a lot of money the time.
On the other hand, because local cache space can not be too large, the key factor when size of every blocks of data is also prestrain selection.When data prestrain, there is such contradiction: while close, the total size of user preference degree is close, is the data that prestrain one piece is large, or the data that prestrain polylith is little.If the data that prestrain one piece is large, if prestrain hit, very large lifting can be had to the speed of system; Once prestrain is miss, user does not use the data of prestrain, then can cause the waste in plenty of time and space.If the data that prestrain polylith is little, the probability that whole prestrain is miss reduces greatly, and more common situation is that partial hit part is miss, but due to the size of every blocks of data relatively little, may be not too obvious to the lifting effect of system speed.The present inventor follows the tracks of by long-time effect and the experience that user uses system, selects data block size adjusted value to introduce in the computation process of data prestrain.The present inventor finds when user uses system, large Data import is higher than to the fluency expection that small data loads, user has anticipated when loading large data can will wait for the long period, and the load time is long a bit shorter little on Consumer's Experience impact; And when loading small data, even if user be unwilling to have obvious delay just card in short-term pause.Therefore, the present invention introduces data block size adjusted value in data prestrain computation process, by improving the preference of prestrain small data, improves Consumer's Experience effect.
Those skilled in the art can also recognize that various illustrative components, blocks, unit and step that the embodiment of the present invention is listed can be realized by hardware, software or both combinations.So to being realized the designing requirement depending on specific application and whole system by hardware or software.Those skilled in the art for often kind of specifically application, can use the function described in the realization of various method, but this realization can should not be understood to the scope exceeding embodiment of the present invention protection.
Various illustrative logical block described in the embodiment of the present invention, or unit can pass through general processor, digital signal processor, special IC (ASIC), field programmable gate array or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or the design of above-mentioned any combination realizes or operates described function.General processor can be microprocessor, and alternatively, this general processor also can be any traditional processor, controller, microcontroller or state machine.Processor also can be realized by the combination of calculation element, such as digital signal processor and microprocessor, multi-microprocessor, and a Digital Signal Processor Core combined by one or more microprocessor, or other similar configuration any realizes.
The software module that method described in the embodiment of the present invention or the step of algorithm directly can embed hardware, processor performs or the combination of both.Software module can be stored in the storage medium of other arbitrary form in RAM storer, flash memory, ROM storer, eprom memory, eeprom memory, register, hard disk, moveable magnetic disc, CD-ROM or this area.Exemplarily, storage medium can be connected with processor, with make processor can from storage medium reading information, and write information can be deposited to storage medium.Alternatively, storage medium can also be integrated in processor.Processor and storage medium can be arranged in ASIC, and ASIC can be arranged in user terminal.Alternatively, processor and storage medium also can be arranged in the different parts in user terminal.
In one or more exemplary design, the above-mentioned functions described by the embodiment of the present invention can realize in the combination in any of hardware, software, firmware or this three.If realized in software, these functions can store on the medium with computer-readable, or are transmitted on the medium of computer-readable with one or more instruction or code form.Computer readable medium comprises computer storage medium and is convenient to make to allow computer program transfer to the telecommunication media in other place from a place.Storage medium can be that any general or special computer can the useable medium of access.Such as, such computer readable media can include but not limited to RAM, ROM, EEPROM, CD-ROM or other optical disc storage, disk storage or other magnetic storage device, or other anyly may be used for carrying or store the medium that can be read the program code of form with instruction or data structure and other by general or special computer or general or special processor.In addition, any connection can be properly termed computer readable medium, such as, if software is by a concentric cable, fiber optic cables, twisted-pair feeder, Digital Subscriber Line (DSL) or being also comprised in defined computer readable medium with wireless way for transmittings such as such as infrared, wireless and microwaves from a web-site, server or other remote resource.Described video disc (disk) and disk (disc) comprise Zip disk, radium-shine dish, CD, DVD, floppy disk and Blu-ray Disc, and disk is usually with magnetic duplication data, and video disc carries out optical reproduction data with laser usually.Above-mentioned combination also can be included in computer readable medium.
Above-described specific embodiment; object of the present invention, technical scheme and beneficial effect are further described; be understood that; the foregoing is only specific embodiments of the invention; the protection domain be not intended to limit the present invention; within the spirit and principles in the present invention all, any amendment made, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. a method for information prestrain, is characterized in that, comprises the following steps:
Within the scope of user's rights of using, obtain user to usage frequency continuously within the scope of usage frequency within the scope of the overall usage frequency of information, setting-up time and setting-up time;
The preference of this user to information is determined according to usage frequency continuous within the scope of usage frequency within the scope of described overall usage frequency, described setting-up time and described setting-up time;
The preload information corresponding to this user is determined according to the preference of this user to information;
Prestrain is carried out to described preload information.
2. the method for information prestrain according to claim 1, it is characterized in that, described according to described overall usage frequency, described counting user to usage frequency continuously within the scope of usage frequency within the scope of the overall usage frequency of information, setting-up time and setting-up time, specifically comprise:
According to formula
calculate the overall usage frequency TF of this user to information, wherein,
represent overall frequency of utilization to described information, f (n) be calculate according to sample space n accept and believe value, α is to described
degree of accepting and believing;
According to formula
calculate this user to usage frequency RU within the scope of the setting-up time of information, wherein, β
ifor the weighting coefficient of each service condition within the scope of setting-up time, γ
ifor continuous coefficients within the scope of setting-up time, i is access times within the scope of setting-up time, and m is continuous access times within the scope of setting-up time;
According to formula RC=γ
kcalculate this user to frequency RC continuous within the scope of the setting-up time of information, wherein, γ is continuous coefficient of performance within the scope of setting-up time, and k is continuous access times within the scope of setting-up time.
3. the method for information prestrain according to claim 2, it is characterized in that, describedly determine the preference of this user to information according to usage frequency continuous within the scope of usage frequency within the scope of described overall usage frequency, described setting-up time and described setting-up time, be specially:
The preference P of this user to information is calculated according to formula P=TF+RU+RC, wherein, TF is the overall usage frequency of this user to information, RU be this user to usage frequency within the scope of the setting-up time of information, RC is that this user is to frequency continuous within the scope of the setting-up time of information.
4. the method for information prestrain according to claim 2, is characterized in that, described information comprises the functional module in described petroleum exploration and development Geographic Information System.
5. the method for information prestrain according to claim 4, is characterized in that, also comprise:
Set up functional module dependence table, to guarantee that the functional module that the functional module be preloaded relies on also is preloaded.
6. a method for information prestrain, is characterized in that, comprises the following steps:
Obtain user to using within the scope of the overall usage frequency of data block, setting-up time frequently, within the scope of setting-up time the size adjusted value of usage frequency and data block and far-end coefficient continuously;
Size adjusted value and far-end coefficient according to using usage frequency and data block continuously within the scope of frequency, setting-up time within the scope of described overall usage frequency, setting-up time determine the preference of this user to information;
The preload information corresponding to this user is determined according to the preference of this user to information;
Prestrain is carried out to described preload information.
7. the method for information prestrain according to claim 6, it is characterized in that, described acquisition user is the size adjusted value of usage frequency and data block and far-end coefficient continuously to using within the scope of the overall usage frequency of data block, setting-up time frequently, within the scope of setting-up time, specifically comprises:
According to formula
calculate the overall usage frequency TF of this user to information, wherein,
represent overall frequency of utilization to described information, f (n) be calculate according to sample space n accept and believe value, α is to described
degree of accepting and believing;
According to formula
calculate this user to usage frequency RU within the scope of the setting-up time of information, wherein, β
ifor the weighting coefficient of each service condition within the scope of setting-up time, γ
ifor continuous coefficients within the scope of setting-up time, i is access times within the scope of setting-up time, and m is continuous access times within the scope of setting-up time;
According to formula RC=γ
kcalculate this user to frequency RC continuous within the scope of the setting-up time of information, wherein, γ is continuous coefficient of performance within the scope of setting-up time, and k is continuous access times within the scope of setting-up time;
According to formula
obtain the size adjusted value FS of data block, wherein, the priority of the value larger expression prestrain of FS is higher, and S is the size of data block, and c is the size of buffer memory, and δ is regulation coefficient;
According to formula
obtain the far-end coefficient FR of data block, wherein, when data block is local storage, its value is 1, and when data block is remote storage, its value is
be greater than 1 and the loading velocity of its size and data block is inversely proportional to.
8. the method for information prestrain according to claim 7, it is characterized in that, described size adjusted value and far-end coefficient according to using usage frequency and data block continuously within the scope of frequency, setting-up time within the scope of described overall usage frequency, setting-up time determines the preference of this user to information, is specially:
The preference P of this user to information is calculated according to formula P=(TF+RU+RC+FS) FR, wherein, TF is the overall usage frequency of this user to information, RU is that this user is to usage frequency within the scope of the setting-up time of information, RC is that this user is to frequency continuous within the scope of the setting-up time of information, FS is the size adjusted value of data block, and FR is the far-end coefficient of data block.
9. the method for information prestrain according to claim 6, is characterized in that, described information comprises the data in the functional module in described petroleum exploration and development Geographic Information System.
10. the method for information prestrain according to claim 8, is characterized in that, when the size of data block is greater than the size of buffer memory, abandons loading this data block.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201510115060.2A CN104794004B (en) | 2015-03-17 | 2015-03-17 | The method that information preloads |
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| CN201510115060.2A CN104794004B (en) | 2015-03-17 | 2015-03-17 | The method that information preloads |
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| CN104794004A true CN104794004A (en) | 2015-07-22 |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105426038A (en) * | 2015-11-02 | 2016-03-23 | 北京科东电力控制系统有限责任公司 | Picture popularity algorithm based picture pre-loading method for power grid scheduling control system |
| CN107797851A (en) * | 2016-09-05 | 2018-03-13 | 展讯通信（上海）有限公司 | Method for scheduling task, device and mobile terminal |
| CN109344092A (en) * | 2018-09-11 | 2019-02-15 | 天津易华录信息技术有限公司 | A kind of method and system improving cold storing data reading speed |
| WO2019114506A1 (en) * | 2017-12-14 | 2019-06-20 | Oppo广东移动通信有限公司 | Compilation optimization method and device, storage medium, intelligent terminal and server |
| CN110020310A (en) * | 2017-12-05 | 2019-07-16 | 广东欧珀移动通信有限公司 | Method, apparatus, terminal and the storage medium of resource load |
| CN113779461A (en) * | 2021-09-02 | 2021-12-10 | 北京有竹居网络技术有限公司 | Data loading method and device and electronic equipment |
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| CN105426038A (en) * | 2015-11-02 | 2016-03-23 | 北京科东电力控制系统有限责任公司 | Picture popularity algorithm based picture pre-loading method for power grid scheduling control system |
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