CN105573782A - Software pre-loading method for transparent wearable intelligent device - Google Patents
Software pre-loading method for transparent wearable intelligent device Download PDFInfo
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- CN105573782A CN105573782A CN201510913022.1A CN201510913022A CN105573782A CN 105573782 A CN105573782 A CN 105573782A CN 201510913022 A CN201510913022 A CN 201510913022A CN 105573782 A CN105573782 A CN 105573782A
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- software
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- 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
- G06F9/44—Arrangements for executing specific programs
- G06F9/445—Program loading or initiating
- G06F9/44505—Configuring for program initiating, e.g. using registry, configuration files
- G06F9/4451—User profiles; Roaming
Abstract
The invention discloses a software pre-loading method for a transparent wearable intelligent device. The method comprises the steps of recording the running frequency of software in the transparent wearable intelligent device by the transparent wearable intelligent device through a software running frequency table, and marking the software in the software running frequency table as common software or general software according to a preset pre-loading condition; and after the software stops running, judging whether the software is the common software or not by the transparent wearable intelligent device, and if yes, then not erasing the software, otherwise, erasing the software. The method has the advantages that the application software search and selection time of a user is shortened, the time for downloading the software to a local end from a server by the transparent wearable intelligent device is shortened, the user experience effect is good, and the like.
Description
Technical field
The present invention relates to wearable smart machine application, particularly relate to a kind of software prestrain method for transparent wearable smart machine.
Background technology
Wearable smart machine is because of its compact, and diverse in function, application is also more and more extensive, and the daily life of user is goed deep in its application day by day.The realization of wearable smart machine function, all depends on the various application software of load operating on wearable smart machine.But in order to ensure the portability of wearable smart machine, its volume is more and more less, the storage space that can provide is also very limited, this just to cause on wearable smart machine can the application software of installation and operation also very limited, cause the function singleness of wearable smart machine.
Lucidification disposal is the concrete place of a kind of user without the need to perception computer operating system, middleware, application program and communication network, only according to the demand of oneself, need be selected from used various terminal devices (comprising all kinds of terminal devices fixing, mobile and family) by network and use the computation schema of respective service (such as calculating, phone, TV, online and amusement etc.).In Transparent Calculation Model, application software needed for service end storage terminal equipment, and application software is divided into header file part, code section and resource part, terminal device does not store application software, but when user needs to run application software, run from the header file part and code section to internal memory of service end download streaming loading application software, and according to the demand of calling of software from service end downloaded resources part, after application software terminates operation, application software is wiped, release storage space.
This operation reserve of lucidification disposal, well solve wearable smart machine to the contradiction between application Bootload demand and limited storage space, but also bring a new problem simultaneously, namely application software is when each run, user needs to spend the regular hour from the magnanimity software in application shop, search the application software selecting to want load operating, then run from service end loading application software, this to a certain degree also have impact on the experience effect of user.
Summary of the invention
The technical problem to be solved in the present invention is just: the technical matters existed for prior art, the invention provides a kind of can according to the use habit of user, automatically by Bootload the most frequently used for user extremely local storage space, shorten user and search selective gist software time, and download the time of software to this locality from service end, the software prestrain method for transparent wearable smart machine that Consumer's Experience is effective.
For solving the problems of the technologies described above, the technical scheme that the present invention proposes is: a kind of software prestrain method for transparent wearable smart machine, transparent wearable smart machine is by the running frequency of each software on the transparent wearable smart machine of running software frequency meter record, and be popular software or regular software according to the preload condition preset by the software tags in described running software frequency meter, described transparent wearable smart machine is after software is out of service, judge whether described software is popular software, be do not wipe this software, otherwise wipe this software.
As a further improvement on the present invention, described running software frequency meter comprises dbase, running frequency, software size and software tags; Described running frequency is the running frequency of software within the frequency computation part cycle of presetting.
As a further improvement on the present invention, described running software frequency meter is according to described running frequency from height to low sequence, and described preload condition is that described software sorts and is positioned at top N in running software frequency meter.
As a further improvement on the present invention, when in described running software frequency meter, running frequency is identical, according to the size of software from large to little sequence.
As a further improvement on the present invention, described this software of not wiping comprises header file part and the code section that transparent wearable smart machine retains this software, deletes the resource part of local this software stored.
Compared with prior art, the invention has the advantages that: according to the use habit of user, automatically by Bootload the most frequently used for user extremely local storage space, user can be shortened and search selective gist software time, and download the time of software to this locality from service end, Consumer's Experience is effective.
Accompanying drawing explanation
Fig. 1 is process flow diagram of the present invention.
Fig. 2 is running software frequency meter structural representation of the present invention.
Embodiment
Below in conjunction with Figure of description and concrete preferred embodiment, the invention will be further described, but protection domain not thereby limiting the invention.
As shown in Figure 1, a kind of software prestrain method for transparent wearable smart machine of the present embodiment, transparent wearable smart machine is by the running frequency of each software on the transparent wearable smart machine of running software frequency meter record, and be popular software or regular software according to the preload condition preset by the software tags in running software frequency meter, transparent wearable smart machine is after software is out of service, judge whether software is popular software, be do not wipe this software, otherwise wipe this software.
As shown in Figure 2, in the present embodiment, running software frequency meter comprises the information such as dbase, running frequency, software size and software tags, and wherein running frequency is the running frequency of software within the frequency computation part cycle of presetting, and software tags is popular software or regular software mark.The title of this software of running software record sheet record and startup period and time is adopted in the present embodiment, startup optimization software on transparent wearable smart machine, namely adds a title dbase and the record of start-up time in this running software record sheet at every turn.In the present embodiment, the frequency computation part cycle of presetting is 10 days, namely in software for calculation logout table in 10 days the number of starts of software, i.e. the running frequency of this software within this frequency computation part cycle.In the present embodiment, running software frequency meter refreshed according to the refresh cycle of presetting, the present embodiment setting refresh cycle is 3 days, namely within every 3 days, a running software frequency is namely recalculated, the running software number of times of first 10 days when at every turn recalculating running software frequency to refresh, the computing method of average daily running frequency can certainly be adopted, namely the refresh time running software number of times of first 10 days is calculated, again divided by 10 days frequency computation part cycles, obtain the average daily running frequency of software within a frequency computation part cycle.In the present embodiment, during first, second and third updating software running frequency table, because the data of the running software number of times recorded in running software record sheet are less than 10 days, then calculate average daily running frequency with recorded data, when first time refreshes, only have the data of 3 days, then calculate the number of run of 3 days divided by 3, obtain the average daily running frequency of 3 days, when refreshing for the 4th time, the apocalyptic data of institute are more than 10 days, then time to refresh, the data of first 10 days calculate average daily running frequency.
In the present embodiment, running software frequency meter according to running frequency from height to low sequence, when running frequency is identical, according to the size of software from sorting to little greatly, and software tags sequence in running software frequency meter being positioned at top N is popular software, other software tags is regular software.As shown in Figure 2, software B is identical with the running frequency of software D, is 35 times, but the software size of software B is 4M, and the size of software D is 2M, and therefore, in running software frequency meter, the sequence of software B is before software D.In the present embodiment, N value is 3, and therefore selected and sorted is positioned at the software tags of first 3 is popular software, and software B is labeled as normal software, and software D is labeled as regular software.
In the present embodiment by running software frequency meter, can determine that user uses the custom of software within a period of time, be popular software by the most frequently used software tags, thus can estimate that afterwards in a period of time, popular software also will be the software that user may need that startup optimization number of times is maximum.Transparent wearable smart machine is after popular software is out of service, the not erase operation of executive software, the header file part of popular software and code section are continued to be stored in the storage space of transparent wearable device, only delete the resource part of popular software, because resource part often needs the storage space that takies more, when software is out of service, deletes resource part, effectively can save the storage space of transparent wearable smart machine.User is when needing to enable this popular software next time, this software need not be searched from application shop, in the application software list of transparent wearable device, directly select the operation that can start this normal software, and load resource file from service end dynamically according to the demand of resource file in running software.Meanwhile, because popular software is stored in the local storage space of transparent wearable device, when starting this popular software, also without the need to downloading this popular software from service end.By this strategy, save the time that user searches software on the one hand, saved the time that transparent wearable smart machine downloads software on the other hand, good Consumer's Experience can be brought.Simultaneously, running software frequency meter record be running software frequency in the nearest frequency computation part cycle, can reflect that user uses the feature of software custom or software application changes in demand, thus dynamic high speed software tags, ensure that user pays close attention to the most, or the software needing most use is stored in local storage space.When running frequency is identical, the software that the preferential storage file of transparent wearable smart machine is larger, when user needs to start software, can shorten the time that transparent wearable smart machine downloads software.
Above-mentioned just preferred embodiment of the present invention, not does any pro forma restriction to the present invention.Although the present invention discloses as above with preferred embodiment, but and be not used to limit the present invention.Therefore, every content not departing from technical solution of the present invention, according to the technology of the present invention essence to any simple modification made for any of the above embodiments, equivalent variations and modification, all should drop in the scope of technical solution of the present invention protection.
Claims (5)
1. the software prestrain method for transparent wearable smart machine, it is characterized in that: transparent wearable smart machine is by the running frequency of each software on the transparent wearable smart machine of running software frequency meter record, and be popular software or regular software according to the preload condition preset by the software tags in described running software frequency meter, described transparent wearable smart machine is after software is out of service, judge whether described software is popular software, be do not wipe this software, otherwise wipe this software.
2. the software prestrain method for transparent wearable smart machine according to claim 1, is characterized in that: described running software frequency meter comprises dbase, running frequency, software size and software tags; Described running frequency is the running frequency of software within the frequency computation part cycle of presetting.
3. the software prestrain method for transparent wearable smart machine according to claim 2, it is characterized in that: described running software frequency meter is according to described running frequency from height to low sequence, and described preload condition is that described software sorts and is positioned at top N in running software frequency meter.
4. the software prestrain method for transparent wearable smart machine according to claim 3, is characterized in that: when in described running software frequency meter, running frequency is identical, according to the size of software from large to little sequence.
5. the software prestrain method for transparent wearable smart machine according to claim 4, it is characterized in that: described this software of not wiping is header file part and the code section that transparent wearable smart machine retains this software, delete the resource part of local this software stored.
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| CN108829824A (en) * | 2018-06-13 | 2018-11-16 | 广东小天才科技有限公司 | Method for processing resource and device in internet operation activity |
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| CN108958830B (en) * | 2018-06-06 | 2021-09-17 | Oppo广东移动通信有限公司 | Application program starting method and device, storage medium and terminal |
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| CN105573782B (en) | 2019-01-15 |
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Effective date of registration: 20210106 Address after: 410000 Yuelu District Yuelu street, Changsha, Hunan Province, 5 left 101 rooms of R & D headquarters of Central South University Science Park. Patentee after: HUNAN NEW CLOUDNET TECHNOLOGY Co.,Ltd. Address before: 410083 Hunan province Changsha Lushan Road No. 932 Patentee before: CENTRAL SOUTH University |
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Denomination of invention: A software preloading method for transparent wearable intelligent devices Effective date of registration: 20210126 Granted publication date: 20190115 Pledgee: Agricultural Bank of China Limited Changsha Yuhua District sub branch Pledgor: HUNAN NEW CLOUDNET TECHNOLOGY Co.,Ltd. Registration number: Y2021980000747 |
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Address after: 410000 Yuelu District Yuelu street, Changsha, Hunan Province, 5 left 101 rooms of R & D headquarters of Central South University Science Park. Patentee after: New Cloud Technology Group Co.,Ltd. Address before: 410000 Yuelu District Yuelu street, Changsha, Hunan Province, 5 left 101 rooms of R & D headquarters of Central South University Science Park. Patentee before: HUNAN NEW CLOUDNET TECHNOLOGY Co.,Ltd. |