CN106331146A - Large-capacity data downloading method based on mobile cloud computing and system thereof - Google Patents
Large-capacity data downloading method based on mobile cloud computing and system thereof Download PDFInfo
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- CN106331146A CN106331146A CN201610809474.XA CN201610809474A CN106331146A CN 106331146 A CN106331146 A CN 106331146A CN 201610809474 A CN201610809474 A CN 201610809474A CN 106331146 A CN106331146 A CN 106331146A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
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Abstract
The invention discloses a large-capacity data downloading method based on mobile cloud computing and a system thereof. After a downloading request from a mobile device is received by a mobile agent terminal, a multi-threading technology is adopted to parallelly download a file, and file downloading is completed in a short time, and the file is saved in the local of the mobile agent terminal; the mobile device is then informed that the file is already downloaded, and the mobile device then builds network connection with the mobile agent terminal. As the mobile device and the mobile agent terminal are in the same local area network environment, the transmission speed between the mobile device and the mobile agent terminal is quick, and the mobile device downloads the file from the mobile agent terminal through a high-speed network bandwidth.
Description
Technical field
The invention belongs to big data downloading management technical field, particularly relate to a kind of Large Copacity number based on mobile cloud computing
According to method for down loading and system.
Background technology
Flourish along with mobile Internet and mobile cloud computing, the configuration of mobile device also has an enhancing, but mobile sets
For comparing PC, resource is the most very limited, the download of the biggest file, for band-limited mobile device, is
The most time-consuming, need to keep network to be connected with remote server for a long time, carry out data transmission.The time that network connects
The longest, the battery electric quantity of consumption is the most.So file download task, bring three problems to mobile device:
1. need more network traffics, produce more expense；
2. the time downloading needs is longer, and the file waiting time that user obtains downloading is longer；
3. download the battery electric quantity consumed more, shorten the cruising time of mobile device.
And the equipment inconvenience used in mobile context is charged at any time, this accesses mobile cloud computing service to mobile device
Energy consumption test the biggest；On the other hand, the development of mobile network relatively lags behind, and mobile network's bandwidth of mobile device is serious not
Foot, communication stability and poor reliability, the in addition somewhat expensive of mobile network, to solve so network problem is also mobile cloud computing
One of subject matter certainly.
Summary of the invention
It is an object of the invention to provide a kind of Large Volume Data method for down loading based on mobile cloud computing, it is by arranging
The multi-layer management and control of mobile agent terminal, it is possible to quick-downloading Large Volume Data, and save the energy consumption of mobile device.
In view of this present invention is achieved in that, a kind of Large Volume Data method for down loading based on mobile cloud computing, institute
State Large Volume Data method for down loading based on mobile cloud computing to comprise the following steps:
S1, file to be downloaded is divided into multiple fragment data, calculates starting position and the stop bits of each fragment data
Put；
S2, between mobile agent terminal, open multiple independent thread simultaneously, respectively each fragment data is carried out
Parallel download, the fragment data of download writes in same interim download file；
S3, the fragment data of file to be downloaded is write successively interim download in file, until all fragment datas
When starting position is all not less than end position, file RNTO will be downloaded temporarily and formally download file.
A kind of Large Volume Data download system based on mobile cloud computing, described Large Volume Data based on mobile cloud computing
Download system includes following functions module:
Data distribution module, for file to be downloaded is divided into multiple fragment data, calculate opening of each fragment data
Beginning position and end position；
Parallel download module, for opening multiple independent thread between mobile agent terminal, respectively to each simultaneously
Individual fragment data carries out Parallel download, and the fragment data of download writes in same interim download file；
Burst download module, for the fragment data of file to be downloaded being write successively interim download in file, until
When the starting position of all fragment datas is all not less than end position, file RNTO will be downloaded temporarily and formally download file.
The present invention overcomes the deficiencies in the prior art, it is provided that a kind of Large Volume Data method for down loading based on mobile cloud computing and
Its system, it, after mobile agent terminal receives the download request of mobile device, uses multithreading Parallel download file, real
File download completes and is saved in existing within a short period of time mobile agent terminal local, and then notice mobile device this document is
Download completes, and mobile device is set up network with mobile agent terminal again and is connected, owing to mobile device and this mobile agent terminal exist
In same LAN environment, so the transmission speed between mobile device and this mobile agent terminal is quickly, mobile device is passed through
This document is got off by express network bandwidth from mobile agent terminal downloads.
Accompanying drawing explanation
Fig. 1 is the FB(flow block) of Large Volume Data method for down loading based on mobile cloud computing of the present invention；
Fig. 2 is the sub-process block diagram of step S3 in Fig. 1；
Fig. 3 is another FB(flow block) of Large Volume Data method for down loading based on mobile cloud computing of the present invention；
Fig. 4 is the module frame chart of Large Volume Data download system based on mobile cloud computing of the present invention；
Fig. 5 is the submodule block diagram of burst download module in Fig. 1；
Fig. 6 is another module frame chart of Large Volume Data download system based on mobile cloud computing of the present invention.
Detailed description of the invention
In order to make the purpose of the present invention, technical scheme and advantage clearer, below in conjunction with drawings and Examples, right
The present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, and
It is not used in the restriction present invention.
In order to make the purpose of the present invention, technical scheme and advantage clearer, below in conjunction with drawings and Examples, right
The present invention is further elaborated, it will be appreciated that specific embodiment described herein only in order to explain the present invention, and
It is not used in the restriction present invention.
As it is shown in figure 1, the embodiment of the present invention provides a kind of Large Volume Data method for down loading based on mobile cloud computing, described
Large Volume Data method for down loading based on mobile cloud computing comprises the following steps:
S1, file to be downloaded is divided into multiple fragment data, calculates starting position and the stop bits of each fragment data
Put.
Concrete, the file that will download is divided into N number of burst, it is assumed that the total size of file is M, calculates each burst below
Starting position and end position, such as [starting position, end position]；The position of first burst is then:The
The position of two bursts:The position of the 3rd burst:The like,
The position of N-1 burst is:The position of n-th burst is:Recursion obtains i-th burst position Pi such as formula 1.The starting position of the most each fragment data and knot
The function calculating formula of bundle position is as follows:
S2, between mobile agent terminal, open multiple independent thread simultaneously, respectively each fragment data is carried out
Parallel download, the fragment data of download writes in same interim download file.
Concrete, described Large Volume Data method for down loading based on mobile cloud computing is the Runnable interface by Java
Realize the unlatching of N number of separate threads.
S3, the fragment data of file to be downloaded is write successively interim download in file, until all fragment datas
When starting position is all not less than end position, file RNTO will be downloaded temporarily and formally download file.
Wherein, as in figure 2 it is shown, described step S3 also include following step by step:
S31, the starting position calculating each thread single fragment data of download and end position, and record at one
In temporary text files；
S32, described thread read one piece of fragment data, the write of this fragment data will download in file temporarily, and change
Become the starting position of this fragment data in temporary text files；I.e. in the starting position of this this fragment data plus downloading slicing
The size of data, thus record the download progress of file to be downloaded.
S33, until the starting position of all fragment datas is all not less than end position in temporary text files time, will be temporarily
Download the filename that file RNTO is formal.
Large Volume Data method for down loading based on mobile cloud computing of the present invention, it is divided into by the file that will download
N number of burst, and the unlatching of N number of separate threads is realized by the Runnable interface of Java, respectively each fragment data is entered
Row Parallel download, the fragment data of download writes same interim download file, calculates each fragment data by formula (1)
Starting position and end position, and record in another temporary text files, read one piece of fragment data, by this burst
File is downloaded in data write temporarily, and changes the starting position of this fragment data in temporary text files, i.e. at this fragment data
Starting position plus the size of downloading slicing data, thus record the download progress of file to be downloaded.Work as fragment data
Starting position not less than end position, then show that this fragment data has been downloaded, until in temporary text files all points
When the starting position of sheet data is all not less than end position, then shows that all fragment datas have all been downloaded, will download temporarily
The filename that file RNTO is formal.
Further, as it is shown on figure 3, described Large Volume Data method for down loading based on mobile cloud computing also includes step
S3a,
Described step S3a: when there is downloading interruption before file entirety download to be downloaded terminates, if fragment data
Starting position not less than end position, then show that this fragment data has been downloaded and terminate, it is not necessary to this burst number of repeated downloads
According to；If the starting position of fragment data is less than end position, then when reopening downloading task, remember in temporary text files
The starting position of the fragment data of record is played continuation and is downloaded.
Concrete, in temporary text files, record another of starting position that each burst downloads and end position
Purposes is to realize breakpoint download.Download is caused to interrupt and need again if running into fortuitous event the most before the end of downloading
When opening downloading task, it is not necessary to re-downloaded completely by whole file, compare the fragment data of record in temporary text files
The starting position downloaded and end position, if starting position is not less than end position, show that this fragment data has been downloaded
Terminate, it is not necessary to this burst of repeated downloads；If starting position is less than end position, show that this fragment data is not the most downloaded
Terminate, then continue the fragment data starting position of record in temporary text files and continue to download.
The present invention also provides for a kind of Large Volume Data download system based on mobile cloud computing, as shown in Figure 4, described based on
The Large Volume Data download system of mobile cloud computing includes following functions module:
Data distribution module, for file to be downloaded is divided into multiple fragment data, calculate opening of each fragment data
Beginning position and end position.
Parallel download module, for opening multiple independent thread between mobile agent terminal, respectively to each simultaneously
Individual fragment data carries out Parallel download, and the fragment data of download writes in same interim download file；Preferably, described parallel under
Carrying module is by realizing the Runnable interface of the Java N number of independent thread of unlatching.
Burst download module, the fragment data of file to be downloaded is write successively interim download in file, until all
When the starting position of fragment data is all not less than end position, file RNTO will be downloaded temporarily and formally download file.
As it is shown in figure 5, described burst download module also includes following sub-function module:
Position calculation submodule, download the starting position of single fragment data and stop bits for calculating each thread
Put, and record in a temporary text files；
Position change submodule, for described thread read one piece of fragment data, will this fragment data write face
At present in published article part, and the starting position of this fragment data in temporary text files is changed；
Location comparison submodule, for when fragment datas all in temporary text files starting position all not less than end
During position, the filename formal by downloading file RNTO temporarily.
Manage substantial amounts for convenience, dispose mobile agent terminal widely, described great Rong based on mobile cloud computing
Amount data downloading system has the mobile agent terminal of three-layer network hierarchical structure, and ground floor, at Backbone Core network central part
Administration's mobile agent terminal accesses master controller, the second layer, disposes mobile agent terminal at center, network area and accesses sub-controller,
Third layer, disposes each mobile agent terminal node server at each branching networks.
Described Large Volume Data download system based on mobile cloud computing includes downloading interrupt module, as shown in Figure 6, described
Download interrupt module for file entirety to be downloaded download terminate before occur downloading interrupt time, if the opening of fragment data
Beginning position is not less than end position, then show that this fragment data has been downloaded and terminate, it is not necessary to this fragment data of repeated downloads；As
Really the starting position of fragment data is less than end position, then when reopening downloading task, and record in temporary text files
The starting position of fragment data is played continuation and is downloaded.
Large Volume Data method for down loading based on mobile cloud computing of the present invention and system, it is received in mobile agent terminal
After the download request of mobile device, use multithreading Parallel download file, it is achieved within a short period of time is by file download
Completing and be saved in mobile agent terminal local, then notice mobile device this document has been downloaded, mobile device again with shifting
Dynamic proxy terminal is set up network and is connected, owing to mobile device and this mobile agent terminal are in same LAN environment, so moving
Quickly, mobile device passes through express network bandwidth by this document from shifting to dynamic transmission speed between equipment and this mobile agent terminal
Dynamic proxy terminal downloads.Large Volume Data method for down loading based on mobile cloud computing of the present invention, it is by mobile generation
The Parallel download pattern of reason terminal can enable file by WLAN at a high speed from mobile agent terminal well
Download to mobile device, it is not necessary to mobile network's flow, save expense.
Assuming that mobile device is directly downloaded file from cloud computing center and required time for t, file is passed through by mobile agent terminal
It is t1 that Parallel download technology downloads to the time of mobile agent terminal local, and mobile device downloads files into shifting by LAN
The time of dynamic equipment is t2, is t ＇=t1+t2 by the total time of mobile agent terminal downloads.Owing to mobile agent terminal has
The preferably network bandwidth, the local net network transmission speed between mobile device and mobile agent terminal the most quickly, generally
T ＇ is less than t, and under different network environments, time difference is different.
The mode that mobile device directly downloads, the time that network connects is t, by the way of mobile agent terminal downloads,
It transmit a request to mobile agent terminal once network for the first time connect, but this Connection Time is the shortest, appoint relative to downloading
For business, the energy consumption brought almost is negligible, network connect mainly by WLAN by file from mobile generation
Reason terminal downloads is to mobile device t2 during this period of time.Spend time taking the most closely bound up with network transmission speed.Wireless local
Net accepted standard is 802.11b, 802.11g, 802.11n or 802.11ac [67], 802.11b and 802.11g works
In the ISM band of 2.4G, 802.11b maximum rate reaches 11Mbps；801.11g maximum rate reaches 54Mbps；802.11n
Can be operated in two frequency ranges of 2.4GHz and 5GHz, Theoretical Rate reaches as high as 600Mbps；802.11ac carried out by 5GHz frequency band
Communication, can provide 1Gbps bandwidth to carry out multi-drop WLAN communication in theory, or the singular association of 500Mbps passes
Defeated bandwidth.In the case of not using mobile agent terminal, mobile device typically requires and connects cloud computing center by mobile network
Being downloaded, the speed of mobile network is slow, and conventional 3G network speed is typically at hundreds of kbps, and 4G network is the most several
Mbps.Even if being downloaded by domestic Wi-Fi, speed is generally 4～10Mbps.
Although the actual transfer rate of WLAN is due to the interference of environment, the strength retrogression of signal, the most also reach not
To theoretic maximum rate, but the speed of WLAN is still significantly larger than mobile network and common Wi-Fi network, therefore
Network attachment time t2 is far smaller than t, and network attachment time shortens, and the electricity connecting network consumption naturally also decreases.Separately
On the one hand, there are some researches show, in identical network attachment time, mobile device connects mobile network's ratio and connects WLAN
More consume electricity.Therefore, both shortened the time by mobile agent terminal downloads Large Copacity file, also saved the unit interval
Energy consumption, is greatly saved the electric quantity consumption of mobile device on the whole, extends the cruising time of mobile device.
Apparatus above embodiment and embodiment of the method are one to one, the simple part of device embodiment, see method real
Execute example.
In this specification, each embodiment uses the mode gone forward one by one to describe, and what each embodiment stressed is and other
The difference of embodiment, between each embodiment, identical similar portion sees mutually.
Professional further appreciates that, in conjunction with the unit of each example that the embodiments described herein describes
And algorithm steps, it is possible to electronic hardware, computer software or the two be implemented in combination in, in order to clearly demonstrate hardware and
The interchangeability of software, the most according to the functional composition generally describing each example and step.This
A little functions perform with hardware or software mode actually, depend on application-specific and the design constraint of technical scheme.Specially
Industry technical staff can use different methods to realize described function to each specifically should being used for, but this realization is not
The scope of the present invention should be exceeded.
The method described in conjunction with the embodiments described herein or the step of algorithm can direct hardware, processor be held
The software module of row, or the combination of the two implements.Software module can be placed in random access memory, internal memory, read only memory,
Electrically programmable ROM, electricity can remove institute's public affairs in programming ROM, depositor, hard disk, moveable magnetic disc, CD-ROM or technical field by sassafras
In the storage medium of other forms any known.
The foregoing is only presently preferred embodiments of the present invention, not in order to limit the present invention, all essences in the present invention
Any amendment, equivalent and the improvement etc. made within god and principle, should be included within the scope of the present invention.
Claims (9)
1. a Large Volume Data method for down loading based on mobile cloud computing, it is characterised in that described based on mobile cloud computing
Large Volume Data method for down loading comprises the following steps:
S1, file to be downloaded is divided into multiple fragment data, calculates starting position and the end position of each fragment data；
S2, between mobile agent terminal, open multiple independent thread simultaneously, respectively each fragment data is carried out parallel
Downloading, the fragment data of download writes in same interim download file；
S3, the fragment data of file to be downloaded is write successively interim download in file, until the beginning of all fragment datas
When position is all not less than end position, file RNTO will be downloaded temporarily and formally download file.
Large Volume Data method for down loading based on mobile cloud computing the most according to claim 1, it is characterised in that described based on
The Large Volume Data method for down loading of mobile cloud computing is by realizing the Runnable interface of the Java N number of independent thread of unlatching.
Large Volume Data method for down loading based on mobile cloud computing the most according to claim 1, it is characterised in that described step
S3 also include following step by step:
S31, the starting position calculating each thread single fragment data of download and end position, and record at one interim
In text；
S32, described thread read one piece of fragment data, the write of this fragment data will download in file temporarily, and change is faced
Time text in the starting position of this fragment data；
S33, until the starting position of all fragment datas is all not less than end position in temporary text files time, will download temporarily
The filename that file RNTO is formal.
Large Volume Data method for down loading based on mobile cloud computing the most according to claim 3, it is characterised in that described change
The starting position of this fragment data in temporary text files, i.e. in the starting position of this this fragment data plus downloading slicing number
According to size, thus record the download progress of file to be downloaded.
Large Volume Data method for down loading based on mobile cloud computing the most according to claim 1, it is characterised in that described based on
The Large Volume Data method for down loading of mobile cloud computing also includes step S3a,
Described step S3a: file entirety to be downloaded download terminate before occur downloading interrupt time, if the opening of fragment data
Beginning position is not less than end position, then show that this fragment data has been downloaded and terminate, it is not necessary to this fragment data of repeated downloads；As
Really the starting position of fragment data is less than end position, then when reopening downloading task, and record in temporary text files
The starting position of fragment data is played continuation and is downloaded.
6. a Large Volume Data download system based on mobile cloud computing, it is characterised in that described based on mobile cloud computing
Large Volume Data download system includes following functions module:
Data distribution module, for file to be downloaded is divided into multiple fragment data, calculate the start bit of each fragment data
Put and end position；
Parallel download module, for opening multiple independent thread between mobile agent terminal, respectively to each point simultaneously
Sheet data carry out Parallel download, and the fragment data of download writes in same interim download file；
Burst download module, for the fragment data of file to be downloaded being write successively interim download in file, until all
When the starting position of fragment data is all not less than end position, file RNTO will be downloaded temporarily and formally download file.
Large Volume Data download system based on mobile cloud computing the most according to claim 6, it is characterised in that described based on
In the Large Volume Data download system of mobile cloud computing, Parallel download module is by realizing the Runnable interface of Java unlatching N
Individual independent thread.
Large Volume Data download system based on mobile cloud computing the most according to claim 6, it is characterised in that described burst
Download module also includes following sub-function module:
Position calculation submodule, download the starting position of single fragment data and end position for calculating each thread,
And record in a temporary text files；
Position change submodule, for reading one piece of fragment data at described thread, will the write of this fragment data interim under
In published article part, and change the starting position of this fragment data in temporary text files；
Location comparison submodule, for when the starting position of fragment datas all in temporary text files is all not less than end position
Time, the filename formal by downloading file RNTO temporarily.
Large Volume Data download system based on mobile cloud computing the most according to claim 6, it is characterised in that described based on
The Large Volume Data download system of mobile cloud computing includes downloading interrupt module, and described download interrupt module is for be downloaded
File entirety is downloaded when terminating to occur before downloading interruption, if the starting position of fragment data is not less than end position, then table
This fragment data bright has been downloaded and has been terminated, it is not necessary to this fragment data of repeated downloads；If the starting position of fragment data is less than
End position, then when reopening downloading task, continuation from the starting position of the fragment data of record in temporary text files
Download.
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| CN201610809474.XA CN106331146A (en) | 2016-09-08 | 2016-09-08 | Large-capacity data downloading method based on mobile cloud computing and system thereof |
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| CN201610809474.XA CN106331146A (en) | 2016-09-08 | 2016-09-08 | Large-capacity data downloading method based on mobile cloud computing and system thereof |
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| CN104519090A (en) * | 2013-09-27 | 2015-04-15 | 深圳市腾讯计算机系统有限公司 | Method and device for file transfer |
| CN106131131A (en) * | 2016-06-24 | 2016-11-16 | 乐视控股（北京）有限公司 | Document transmission method and device |
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| CN103067423A (en) * | 2011-10-20 | 2013-04-24 | 腾讯科技（深圳）有限公司 | Browser kernel adaption method and browser |
| CN103106068A (en) * | 2013-02-28 | 2013-05-15 | 江苏物联网研究发展中心 | Internet of things big data fast calibration method |
| CN103327415A (en) * | 2013-06-05 | 2013-09-25 | 北京奇虎科技有限公司 | Method and device for accelerating network video downloading |
| CN104519090A (en) * | 2013-09-27 | 2015-04-15 | 深圳市腾讯计算机系统有限公司 | Method and device for file transfer |
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