CN105430065A - Downloading optimization method and system - Google Patents

Downloading optimization method and system Download PDF

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Publication number
CN105430065A
CN105430065A CN201510746979.1A CN201510746979A CN105430065A CN 105430065 A CN105430065 A CN 105430065A CN 201510746979 A CN201510746979 A CN 201510746979A CN 105430065 A CN105430065 A CN 105430065A
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CN
China
Prior art keywords
download
file
user terminal
instruction
downloading
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Pending
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CN201510746979.1A
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Chinese (zh)
Inventor
王崟垄
李振华
卢臻
刘云浩
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Tsinghua University
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Tsinghua University
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Priority to CN201510746979.1A priority Critical patent/CN105430065A/en
Publication of CN105430065A publication Critical patent/CN105430065A/en
Pending legal-status Critical Current

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/06Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/1097Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/56Provisioning of proxy services

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

The invention provides a downloading optimization method and system, and the method comprises the steps: obtaining a downloading performance index corresponding to each of a plurality of files, wherein the downloading performance index of each file comprises the downloading hotness degree of the file; determining a target file which a user needs to download; judging whether the downloading hotness degree of the target file is greater than a preset downloading hotness degree or not, and outputting a first downloading index when the downloading hotness degree of the target file is not greater than the preset downloading hotness degree, wherein the first downloading index is used for indicating off-line downloading based on a cloud storage unit. The method provided by the invention helps the user carry out downloading through employing a right downloading scheme, and improves the user experience in downloading.

Description

Download optimization method and system
Technical field
The present invention relates to Internet technical field, particularly one downloads optimization method and system.
Background technology
File download is that the Internet is supplied to one of the most ancient, most basic function of user, but until today, a lot of user still experiences at the file download that experience is bad, and particularly speed of download is low and download success rate and cannot be guaranteed.In order to alleviate the problems referred to above, in recent years, " off-line download " pattern of a kind of novelty is popular rapidly on the internet.It is not allow digital content directly be sent to user side from data source, but use one " agency " as the terminal of transfer of data, seem and detour, actually at a high speed, be particularly suitable for the bad user of those network environments and download large files (as HD video, fatware bag).Wherein, based on be loaded under the off-line of cloud storage cloud storage download corresponding file time, the router not needing user terminal or user terminal to connect is online, and also can not take the network speed of user when off-line is downloaded, and therefore becomes a kind of comparatively popular downloading mode gradually.But be generally paid service based on the download service of cloud storage.And the speed of download of some file itself than comparatively fast, can not need to use off-line download service, but user sometimes and do not know that file destination is the need of the off-line download service used based on cloud storage, sometimes cannot selecting properly download scenarios.
Summary of the invention
In view of the above problems, the invention provides a kind of download optimization method and system, contribute to user and use correct download scenarios to download.
The invention provides a kind of download optimization method, described method comprises:
Obtain the download performance index that each file in multiple file is corresponding; The download temperature of this file is comprised in download performance index in each file;
Determine that user needs the file destination downloaded;
Judge whether the download temperature of described file destination is greater than to preset and download temperature, and export the first download instruction when being judged as NO; Described first download instruction is used to indicate carries out off-line download based on cloud storage.
Further, described method also comprises:
When judging that the download temperature of described file destination is greater than preset heat, judge whether described file destination is P2P file, and export the first download instruction when being judged as NO.
Further, described and when being judged as NO export first download instruction, comprising:
Judge that whether the download environment of user terminal meets first pre-conditioned, and only when being judged as YES, exporting first and downloading instruction;
Described method also comprises:
The download environment judging user terminal do not meet first pre-conditioned time, export second and download instruction;
Wherein, the described first pre-conditioned Virtual network operator accessed for user terminal is default operator and the network bandwidth of user terminal is greater than pre-set bandwidths; Described second downloads instruction is used to indicate and carries out off-line download based on cloud storage and carry out off-line download based on intelligent router.
Further, described method also comprises: when judging that described file destination is P2P file, judges that whether the download environment of described user terminal meets second pre-conditioned, and when being judged as YES, exporting the 3rd and downloading instruction; Wherein,
The described second pre-conditioned network bandwidth for user terminal is greater than pre-set bandwidths and the memory matched of the intelligent router that connects of user terminal and this intelligent router; Described 3rd download instruction is used to indicate carries out off-line download based on intelligent router.
Further, described method also comprises: described user terminal download environment meet second pre-conditioned time, export the 4th download instruction; Wherein, described 4th download instruction is used to indicate and directly uses user terminal to carry out off-line download.
Further, described method also comprises: download default file, determines the network bandwidth of described user terminal according to the maximum speed of download downloaded in the process of described default file.
Further, after determining the network bandwidth of described user terminal according to the maximum speed of download downloaded in the process of described default file, described method also comprises:
The determined network bandwidth is showed user by bandwidth correction window;
When user revises the network bandwidth in described bandwidth correction window, obtain the network bandwidth of the amended network bandwidth as described user terminal.
Further, described method also comprises:
Detect the Virtual network operator of user terminal;
By detect show user by Virtual network operator correction window;
When user revises the Virtual network operator in described band Virtual network operator correction window, obtain the Virtual network operator that amended Virtual network operator accesses as described user terminal.
Further, also comprise:
Show the download performance index that described file destination is corresponding.
Present invention also offers a kind of download optimization system, comprising:
Acquisition module, for obtaining download performance index corresponding to each file in multiple file; The download temperature of this file is comprised in download performance index in each file; The download temperature of this file is comprised in download performance index in each file;
Determination module, for determining that user needs the file destination downloaded;
Interactive module, downloads temperature for judging whether the download temperature of described file destination is greater than to preset, and exports the first download instruction when being judged as NO; Described first download instruction is used to indicate carries out off-line download based on cloud storage.
In method and system for optimizing off-line download provided by the invention, obtain the temperature of file destination and judge whether the temperature of file destination is greater than preset heat, and when being judged as NO, export the download instruction being used to indicate and adopting and carry out off-line download based on memory.Adopt method provided by the invention, contribute to user and use correct download scenarios to download, promote the downloading experience of user.
Accompanying drawing explanation
Fig. 1 is a kind of schematic flow sheet downloading optimization method provided by the invention;
Fig. 2 is the schematic flow sheet of another download optimization method provided by the invention;
Fig. 3 is a kind of structural representation downloading optimization system provided by the invention.
Embodiment
Below in conjunction with drawings and Examples, the specific embodiment of the present invention is described in further detail.Following examples for illustration of the present invention, but are not used for limiting the scope of the invention.
See Fig. 1, be a kind of schematic flow sheet downloading optimization method provided by the invention, the method comprises:
Step S11, obtains the download performance index that each file in multiple file is corresponding; The download temperature of this file is comprised in download performance index in each file;
Step S12, determines that user needs the file destination downloaded;
Step S13, judges whether the download temperature of described file destination is greater than to preset and downloads temperature, and export the first download instruction when being judged as NO; Described first download instruction is used to indicate carries out off-line download based on cloud storage.
In method provided by the invention, obtain the temperature of file destination and judge whether the temperature of file destination is greater than preset heat, and when being judged as NO, exporting the download instruction being used to indicate and adopting and carry out off-line download based on memory.General, if the download temperature of a file is too low, then the speed of download of such file generally can be lower, now probably needs to adopt off-line scheme.Visible by adopting method provided by the invention, just contributing to making user when downloading the file of this class, using correct download scenarios to download.
In the specific implementation, above-mentioned step S11 can specifically comprise:
The temperature information stored in database corresponding to software is downloaded by the cycle of presetting or the open interface collection provided according to download software within the time period of presetting.The automatic acquisition process of temperature information can be completed like this, without the need to artificial typing.Certainly in actual applications, other modes also can be adopted to obtain the download temperature of each file.
In the specific implementation, above-mentioned step S12 can specifically refer to: the download link obtaining user's input, general, can comprise the file that needs are downloaded, i.e. the mark of file destination in download link, source etc.; Can determine that user needs the file destination downloaded by this download link.
Understandable, the carrying out off-line based on cloud storage and download and refer to by the server downloading files of cloud storage from file destination place of indication here, and is transferred to user terminal after downloading completes.When cloud storage is from the server downloading files at file destination place, user terminal does not need to be in off-line state, so be called that off-line is downloaded.
In the specific implementation, if in step s 13, judge that the download temperature of described file destination is greater than preset heat, above-mentioned method can also comprise not shown:
Step S14, judges whether described file destination is P2P file, and exports the first download instruction when being judged as NO.
In actual applications, if file destination is not P2P file, then in order to download this file destination, need to download to the server at this file destination place.If now this file destination temperature is higher, then probably within the same period, the download request downloading this file destination from the server at this file destination place is more, because the bandwidth at the server place at file destination place limits, cause the situation of queuing up possibly, namely can cause the speed of download of this file destination comparatively slow, now just need to adopt the off-line download scenarios based on memory.Visible by adopting method provided by the invention, just contributing to making user when downloading the file of this class, using correct download scenarios to download.
In the specific implementation, in above-mentioned step S13 and step S14, and the first download instruction is exported when being judged as NO, can specifically comprise:
Judge that whether the download environment of user terminal meets first pre-conditioned, and only when being judged as YES, exporting first and downloading instruction;
Described method can also comprise not shown:
Step S15, the download environment judging user terminal do not meet first pre-conditioned time, export second and download instruction;
Wherein, the described first pre-conditioned Virtual network operator accessed for user terminal is default operator and the network bandwidth of user terminal is greater than pre-set bandwidths; Described second downloads instruction is used to indicate and carries out off-line download based on cloud storage and carry out off-line download based on intelligent router.
In actual applications, if the Virtual network operator that user terminal accesses is not the network bandwidth of default operator (namely there is operator's bottleneck) or user terminal be not more than pre-set bandwidths (namely there is bandwidth bottleneck), then after cloud storage completes the off-line download of corresponding file destination, re-using family terminal may still need the longer time from cloud storage downloading object file.For this problem, by above-mentioned step S15 in the present invention, can can export the second download instruction in this case, this makes it possible to make user select to carry out off-line download based on cloud storage and the mode downloading object file carrying out off-line download based on intelligent router, thus make file destination be transferred to user side as early as possible, reduce total download time.
In the specific implementation, it is unshowned in figure that described method can also comprise: step S16 is when judging that described file destination is P2P file, judge that whether the download environment of described user terminal meets second pre-conditioned, and when being judged as YES, exporting the 3rd and downloading instruction; Wherein,
The described second pre-conditioned network bandwidth for user terminal is greater than pre-set bandwidths and the memory matched of the intelligent router that connects of user terminal and this intelligent router; Described 3rd download instruction is used to indicate carries out off-line download based on intelligent router.
Step S17, described user terminal download environment meet second pre-conditioned time, export the 4th download instruction; Wherein, described 4th download instruction is used to indicate and directly uses user terminal to carry out off-line download.
In actual applications, if the memory that intelligent router is connected with this intelligent router does not mate, a problem that then may cause is that the file that intelligent router is downloaded cannot be stored in corresponding memory in time, and speed of download can be caused so on the contrary slower.Method provided by the invention, by above-mentioned step S16 and step S17, make only the network bandwidth of user terminal be greater than pre-set bandwidths and the memory matched of the intelligent router that connects of user terminal and this intelligent router time export the 3rd and download and indicate, make user use the downloading mode based on intelligent router to download, this makes it possible to the download scenarios of other mistakes of selection avoiding user error.
In the specific implementation, said method can also comprise: step S18, downloads default file, determines the network bandwidth of described user terminal according to the maximum speed of download downloaded in the process of described default file.
The test process of network speed can be realized so automatically.
Further, in the specific implementation, after determining the network bandwidth of described user terminal according to the maximum speed of download downloaded in the process of described default file, described method can also comprise not shown:
Step S19, shows user by the determined network bandwidth by bandwidth correction window;
When user revises the network bandwidth in described bandwidth correction window, obtain the network bandwidth of the amended network bandwidth as described user terminal.
Because some errors may appear in automatic testing process, these errors may cause the situation occurring in step S15, S16 and step S17 judging by accident.Adopt the process of step S18 and step S19, the generation of this situation can be avoided.
In the specific implementation, described method also comprises:
Detect the Virtual network operator of user terminal;
By detect show user by Virtual network operator correction window;
When user revises the Virtual network operator in described band Virtual network operator correction window, obtain the Virtual network operator that amended Virtual network operator accesses as described user terminal.
The Virtual network operator that user terminal accesses can be determined more accurately like this.
In the specific implementation, the memory matched that above-mentioned intelligent router is connected with this intelligent router, can refer to that the storage class of the memory that the storage class that this intelligent router is supported is connected with this intelligent router is mated.When mating, file can be written in corresponding memory by intelligent router fast, and when not mating, then possibly file cannot be written to memory or writing speed comparatively slow (namely exist and store bottleneck).Such as pole route can support that SD card stores, but can not USB flash memory be supported, if the memory that pole route connects is USB flash memory, the file that then intelligent router is downloaded cannot be kept on this USB flash memory, now should select directly to use user terminal to download, store if the memory that pole route connects is SD card, then now can select the scheme of carrying out off-line download based on intelligent router, so just remain on line states without the need to user terminal always.
In the specific implementation, above-mentioned method can also comprise not shown:
Step S110, shows the download performance index that described file destination is corresponding.
User can be made like this to recognize download performance indexs such as downloading temperature, promote Consumer's Experience.In addition, in the specific implementation, the information such as the duration needed for downloading object file can also be shown.
In the specific implementation, in each above-mentioned step, export download instruction and can refer to that displaying download is indicated to user, also can refer to that exporting download is indicated to user terminal, makes user terminal download according to indicated downloading mode.
In order to flow process of the present invention is more clearly described, below in conjunction with accompanying drawing 2 in download optimization method provided by the invention after determining the type of memory that file destination, the Virtual network operator of access, the network bandwidth of user terminal and intelligent router are supported and the type of memory, the process of download scenarios is selected to be described, see Fig. 2, the method can comprise:
Step S21, judges whether the download temperature of described file destination is greater than to preset and downloads temperature; If not, then step S22 is turned to; If so, step S25 is turned to.
Step S22, judges that whether download environment meets first pre-conditioned, namely whether there is operator's bottleneck or bandwidth bottleneck; If so, then turn to step S23, otherwise turn to step S24.
Step S23, exports first and downloads instruction, namely indicate and carry out off-line download based on cloud storage.
Step S24, exports second and downloads instruction, namely indicate and carry out off-line download based on cloud storage with based on intelligent router.
Step S25, judges whether file destination is P2P file, if not, then turns to step S22; If so, then step S26 is turned to.
Whether step S26, judge that whether download environment meets second pre-conditioned, namely exist and store bottleneck or bandwidth bottleneck; If not, turn to step S27, if not, turn to step S28.
Step S27, exports the 3rd and downloads instruction, indicate and carry out off-line download based on intelligent router.
Step S28, exports the 4th and downloads instruction, and instruction uses user terminal directly to download.
On the other hand, present invention also offers a kind of download optimization system, see Fig. 3, this system comprises:
Acquisition module 31, for obtaining download performance index corresponding to each file in multiple file; The download temperature of this file is comprised in download performance index in each file; The download temperature of this file is comprised in download performance index in each file;
Determination module 32, for determining that user needs the file destination downloaded;
Interactive module 33, downloads temperature for judging whether the download temperature of described file destination is greater than to preset, and exports the first download instruction when being judged as NO; Described first download instruction is used to indicate carries out off-line download based on cloud storage.
Above execution mode is only for illustration of the present invention; and be not limitation of the present invention; the those of ordinary skill of relevant technical field; without departing from the spirit and scope of the present invention; can also make a variety of changes and modification; therefore all equivalent technical schemes also belong to category of the present invention, and scope of patent protection of the present invention should be defined by the claims.

Claims (10)

1. download an optimization method, it is characterized in that, described method comprises:
Obtain the download performance index that each file in multiple file is corresponding; The download temperature of this file is comprised in download performance index in each file;
Determine that user needs the file destination downloaded;
Judge whether the download temperature of described file destination is greater than to preset and download temperature, and export the first download instruction when being judged as NO; Described first download instruction is used to indicate carries out off-line download based on cloud storage.
2. the method for claim 1, is characterized in that, described method also comprises:
When judging that the download temperature of described file destination is greater than preset heat, judge whether described file destination is P2P file, and export the first download instruction when being judged as NO.
3. method as claimed in claim 1 or 2, is characterized in that, described and export first when being judged as NO and download instruction, specifically comprises:
Judge that whether the download environment of user terminal meets first pre-conditioned, and only when being judged as YES, exporting first and downloading instruction;
Described method also comprises:
The download environment judging user terminal do not meet first pre-conditioned time, export second and download instruction;
Wherein, the described first pre-conditioned Virtual network operator accessed for user terminal is default operator and the network bandwidth of user terminal is greater than pre-set bandwidths; Described second downloads instruction is used to indicate and carries out off-line download based on cloud storage and carry out off-line download based on intelligent router.
4. method as claimed in claim 2, it is characterized in that, described method also comprises: when judging that described file destination is P2P file, judges that whether the download environment of described user terminal meets second pre-conditioned, and when being judged as YES, exporting the 3rd and downloading instruction; Wherein,
The described second pre-conditioned network bandwidth for user terminal is greater than pre-set bandwidths and the memory matched of the intelligent router that connects of user terminal and this intelligent router; Described 3rd download instruction is used to indicate carries out off-line download based on intelligent router.
5. method as claimed in claim 4, it is characterized in that, described method also comprises: the download environment of described user terminal do not meet second pre-conditioned time, export the 4th and download instruction; Wherein, described 4th download instruction is used to indicate and directly uses user terminal to carry out off-line download.
6. the method as described in any one of claim 3-5, is characterized in that, described method also comprises: download default file, determines the network bandwidth of described user terminal according to the maximum speed of download downloaded in the process of described default file.
7. method as claimed in claim 6, is characterized in that, after determining the network bandwidth of described user terminal according to the maximum speed of download downloaded in the process of described default file, described method also comprises:
The determined network bandwidth is showed user by bandwidth correction window;
When user revises the network bandwidth in described bandwidth correction window, obtain the network bandwidth of the amended network bandwidth as described user terminal.
8. method as claimed in claim 3, it is characterized in that, described method also comprises:
Detect the Virtual network operator of user terminal;
By detect show user by Virtual network operator correction window;
When user revises the Virtual network operator in described band Virtual network operator correction window, obtain the Virtual network operator that amended Virtual network operator accesses as described user terminal.
9. the method for claim 1, is characterized in that, also comprises:
Show the download performance index that described file destination is corresponding.
10. download an optimization system, it is characterized in that, comprising:
Acquisition module, for obtaining download performance index corresponding to each file in multiple file; The download temperature of this file is comprised in download performance index in each file; The download temperature of this file is comprised in download performance index in each file;
Determination module, for determining that user needs the file destination downloaded;
Interactive module, downloads temperature for judging whether the download temperature of described file destination is greater than to preset, and exports the first download instruction when being judged as NO; Described first download instruction is used to indicate carries out off-line download based on cloud storage.
CN201510746979.1A 2015-11-05 2015-11-05 Downloading optimization method and system Pending CN105430065A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107276781A (en) * 2016-04-07 2017-10-20 中国科学院声学研究所 A kind of router of band storage extends the pre- dispositions method of content distributing network
CN107317828A (en) * 2016-04-26 2017-11-03 腾讯科技(深圳)有限公司 Document down loading method and device
CN107426313A (en) * 2017-07-21 2017-12-01 北京金山安全管理系统技术有限公司 Data publication method and device

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107276781A (en) * 2016-04-07 2017-10-20 中国科学院声学研究所 A kind of router of band storage extends the pre- dispositions method of content distributing network
CN107276781B (en) * 2016-04-07 2019-10-22 中国科学院声学研究所 A kind of pre- dispositions method of the router extension content distributing network of band storage
CN107317828A (en) * 2016-04-26 2017-11-03 腾讯科技(深圳)有限公司 Document down loading method and device
CN107317828B (en) * 2016-04-26 2020-04-24 腾讯科技(深圳)有限公司 File downloading method and device
CN107426313A (en) * 2017-07-21 2017-12-01 北京金山安全管理系统技术有限公司 Data publication method and device

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Application publication date: 20160323