CN112039713B - Data transmission method and system for cloud computing and meeting user requirements - Google Patents
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Abstract
The invention discloses a data transmission method for cloud computing, which meets the user requirements, and is used for a client for uploading data to obtain the expected user transmission time corresponding to the uploaded data required by the cloud computing and the estimated data transmission time of the client in the current network state in real time; and when the current estimated data transmission time is longer than the current user expected transmission time, judging whether the client comprises at least one program occupying the network bandwidth, if so, acquiring the network bandwidth occupied by each current program in the client and the current difference value between the current user expected transmission time and the current estimated data transmission time, and determining at least one program needing to be closed according to the network bandwidth occupied by each current program and the current difference value so as to enable the current estimated data transmission time to be less than or equal to the current user expected transmission time. According to the invention, the data can be quickly uploaded according to the time required by the user, and the data uploading speed meets the requirements of the user.
Description
Technical Field
The invention relates to data transmission, in particular to a data transmission method for cloud computing, which meets the requirements of users.
Background
Cloud Computing (Cloud Computing) is a kind of distributed Computing, and means that a huge data Computing processing program is decomposed into countless small programs through a network "Cloud", and then the small programs are processed and analyzed by a system composed of a plurality of servers to obtain results and are returned to a user. In the current stage, cloud computing is not just distributed computing, but is a result of hybrid evolution and leap of computer technologies such as distributed computing, utility computing, load balancing, parallel computing, network storage, hot backup redundancy, virtualization and the like through continuous progress.
The current cloud computing has higher requirement on the transmission speed of data, if the data is not timely transmitted in the transmission process, the subsequent computing speed is influenced, and finally, the computing time is too long, and the result required by a user cannot be met.
Disclosure of Invention
The invention aims to provide a data transmission method and a data transmission system for cloud computing, which meet the user requirements.
In order to achieve the above object, the present invention provides a data transmission method for cloud computing, which meets user requirements, and is used for a client for uploading data, and acquiring, in real time, user expected transmission time corresponding to the data to be uploaded by the cloud computing and estimated data transmission time of the client in a current network state; when the current estimated data transmission time is longer than the current user expected transmission time, judging whether the client comprises at least one program occupying network bandwidth, if so, acquiring the network bandwidth occupied by each current program in the client and the current difference value between the current user expected transmission time and the current estimated data transmission time, and determining at least one program required to be closed according to the network bandwidth occupied by each current program and the current difference value so as to enable the current estimated data transmission time to be less than or equal to the current user expected transmission time; and if the judgment result is negative, determining at least one transfer node so that the data to be uploaded by the cloud computing is uploaded through the at least one transfer node, and the current estimated data transmission time is smaller than or equal to the current user expected transmission time.
Preferably, determining at least one program to be closed according to the network bandwidth occupied by each current program and the current difference includes: acquiring the corresponding relation between each pre-configured network bandwidth expected to be released and each difference value; determining the network bandwidth which is expected to be released currently according to the corresponding relation and the current difference value; and determining at least one program required to be closed from the current programs, wherein the network bandwidth occupied by the at least one program required to be closed is larger than the current network bandwidth expected to be released.
Preferably, determining at least one program to be shut down from the current programs by any one of the following means includes: the network bandwidth occupied by at least one program needing to be closed is closest to the network bandwidth which is expected to be released currently; or a minimum number of at least one program that needs to be shut down; or the quantity of the at least one program required to be closed is smaller than a preset quantity threshold, and the bandwidth difference between the network bandwidth occupied by the at least one program required to be closed and the current network bandwidth expected to be released is smaller than a preset bandwidth difference threshold.
Preferably, after the current estimated data transmission time is less than or equal to the current user expected transmission time, the intelligent data transmission method for cloud computing meeting the user requirement comprises the following steps: detecting whether newly added uploading data influencing the transmission time of the estimated data are added in real time; and when the detection result is yes, continuously judging whether the transmission time of the current estimated data is greater than the transmission time expected by the current user, popping up prompt information and a selection operation window when the continuous judgment result is yes, and responding to the operation of the user aiming at the selection operation window to determine whether to continuously transmit the newly-added uploaded data.
Preferably, after the result of the continuous judgment shows that the current estimated data transmission time is greater than the current user expected transmission time, the intelligent data cloud computing method further includes: popping up a sequence selection window, wherein the sequence selection window is configured to respond to the selection operation of a user and determine the uploading sequence of the previous uploading data and the newly added uploading data.
Preferably, the pop-up sequence selection window is configured to pop-up when a difference between the current estimated data transmission time and the current user desired transmission time is greater than a preset time threshold.
Preferably, the determining at least one transit node comprises: acquiring a node list from a scheduling center, and acquiring network detection results corresponding to each node in the node list; and comparing the detection results of the networks, and acquiring a node corresponding to the comparison result showing that the transmission speed is at a preset number threshold as the determined at least one transfer node, wherein the preset number threshold is associated with the size of the uploaded data.
In addition, the present invention provides a data transmission system for cloud computing that meets a user's demand, for a client that uploads data, and the intelligent data transmission system for cloud computing that meets a user's demand includes: the time acquisition unit is used for acquiring user expected transmission time corresponding to data to be uploaded in cloud computing and estimated data transmission time of the client in the current network state in real time; and a client control unit, configured to determine whether the client includes at least one program occupying a network bandwidth when the current estimated data transmission time is greater than the current user expected transmission time, where the method includes: the program management module is used for acquiring the network bandwidth occupied by each current program in the client and the current difference value between the current user expected transmission time and the current estimated data transmission time when the judgment result is yes, and determining at least one program to be closed according to the network bandwidth occupied by each current program and the current difference value so as to enable the current estimated data transmission time to be less than or equal to the current user expected transmission time; and the node management module is used for determining at least one transfer node when the judgment result is negative, so that the data to be uploaded by the cloud computing is uploaded through the at least one transfer node, and the current estimated data transmission time is smaller than or equal to the current user expected transmission time.
Preferably, the determining, by the program management module, at least one program to be closed according to the network bandwidth occupied by each current program and the current difference includes: the corresponding relation obtaining submodule is used for obtaining the corresponding relation between each pre-configured network bandwidth expected to be released and each difference value; the expected release bandwidth determining submodule is used for determining the network bandwidth expected to be released currently according to the corresponding relation and the current difference value; and a program determining and closing submodule, configured to determine at least one program required to be closed from among the current programs, where a network bandwidth occupied by the at least one program required to be closed is greater than the network bandwidth currently expected to be released.
Preferably, the program determination shutdown submodule determines at least one program requiring shutdown from among the current programs by any one of: the network bandwidth occupied by at least one program needing to be closed is closest to the network bandwidth which is expected to be released currently; or a minimum number of at least one program that needs to be shut down; or the number of the at least one program required to be closed is smaller than a preset number threshold, and the bandwidth difference between the network bandwidth occupied by the at least one program required to be closed and the current network bandwidth expected to be released is smaller than a preset bandwidth difference threshold.
According to the technical scheme, the intelligent data transmission method for cloud computing meeting the user requirements acquires the expected transmission time of the user in real time and estimates the data transmission time, wherein the estimated data transmission time is related to the current state of the client, each different client has different network states which are related to hardware, and certainly, the method is also related to the software opening and closing conditions of the client according to the service condition of the client. After the data of the related data transmission time is obtained, whether the transmission time of the data can be continuously increased in the client is determined by judging whether the client comprises at least one program occupying network bandwidth, when the program is available, a part of or all the programs need to be closed according to actual conditions to release the bandwidth to meet the requirement of cloud computing, and when the program is unavailable, the accelerated transmission needs to be realized by means of an external node, so that the requirement of a user is finally met. In any way, the intelligent data transmission can be realized according to the user requirements.
Additional features and advantages of the invention will be set forth in the detailed description which follows.
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The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart illustrating a data transmission method for cloud computing that satisfies user demands according to the present invention;
FIG. 2 is a flowchart illustrating a method of determining at least one program to be shut down based on a network bandwidth currently occupied by each program and a current difference value according to the present invention; and
fig. 3 is a flowchart illustrating a method of data transmission for cloud computing that satisfies a user's needs, which follows fig. 1.
Detailed Description
The following describes in detail embodiments of the present invention with reference to the drawings. It should be understood that the detailed description and specific examples, while indicating the present invention, are given by way of illustration and explanation only, not limitation.
Before describing the invention in detail, a data transmission mode for cloud computing at the present stage is introduced, the current transmission mode only uses an external node mode, when data is more and the data transmission speed is slower, the external transfer node is used for realizing accelerated transmission, the mode does not consider the subjective will of a user, the transmission mode is single, and the requirement of the user is not taken as a starting point to meet the requirement of the actual situation.
For the above reasons, the present invention designs a data transmission method for cloud computing that meets the user's needs, for a client that uploads data, as shown in fig. 1, in the intelligent data transmission method of the present invention,
s101, obtaining user expected transmission time corresponding to data to be uploaded in cloud computing and estimated data transmission time of the client in the current network state in real time.
The method includes that the expected transmission time of a user reflects the time that the user wants to obtain a cloud computing result, the faster the transmission time is, the shorter the expected computing time of the user is, in order to meet the user's expectation, before actual transmission, the user is reminded whether the expected value of the user can be reached, that is, estimated data transmission time is obtained first, the estimated time is a predicted value obtained according to the hardware conditions of a client and a network, the estimated time can be realized by big data, that is, the uploading speed of a large amount of data uploaded by the client is obtained, wherein the obtained related data is data of the last year (considering the aging of the client), the uploading speed does not consider the influence of programs, at the moment, the influence factor of each application program on the data uploading speed is obtained, the estimated data transmission time is determined according to the size of the data needing to be uploaded, the average value of the uploading speeds of the large amount of data uploaded by the client and the current influence factor, wherein the obtained data of the last year needs to be the data of the user without replacing the network or the network hardware, and otherwise, the estimated data transmission time is calculated from the beginning of the network hardware change process.
S102, when the current estimated data transmission time is longer than the current user expected transmission time, judging whether the client comprises at least one program occupying network bandwidth, wherein the fact that the current estimated data transmission time is longer than the current user expected transmission time indicates that the network state and the hardware state of the current client cannot reach the user expected value, at the moment, starting from the client, and considering whether a channel occupied by application program uploading data exists.
S103, when the judgment result shows that the client comprises at least one program occupying the network bandwidth, acquiring the network bandwidth occupied by each current program in the client and the current difference between the expected transmission time of the current user and the current estimated data transmission time, wherein the difference reflects the difference between the expectation of the user and the actual estimation, and determining at least one program required to be closed according to the network bandwidth occupied by each current program and the current difference so that the current estimated data transmission time is less than or equal to the current expected transmission time of the user.
And S104, when the judgment result shows that the client does not have a program occupying the network bandwidth, determining at least one transfer node, so that data to be uploaded by cloud computing is uploaded through the at least one transfer node, and the current estimated data transmission time is smaller than or equal to the current user expected transmission time. The transfer node is used for improving the uploading speed of the data, so that the data can be uploaded to a server as fast as possible to realize cloud computing.
Preferably, in S102, as shown in fig. 2, determining at least one program that needs to be shut down according to the network bandwidth occupied by each current program and the current difference value may include:
s201, acquiring a corresponding relation between each pre-configured network bandwidth expected to be released and each difference, wherein the network bandwidth expected to be released and the difference have a corresponding relation, the release of each network bandwidth will increase the transmission speed of data immediately, and the transmission speed determines the difference of transmission time, wherein the larger the time difference is, the faster the required transmission speed is, and then a certain amount of network bandwidth needs to be released;
s202, determining a current expected released network bandwidth according to the corresponding relationship and the current difference, and determining a network bandwidth required to be released according to the corresponding index corresponding relationship, where the network bandwidth expected to be released is not a final released bandwidth, for example, when the current difference is 20S, 125KBps needs to be released, and when the current difference is 50S, 375KBps needs to be released, where each difference interval corresponds to a bandwidth value required to be released, and although the two are not a direct relationship, the released bandwidth will affect the subsequent estimated data transmission time, so that the current estimated data transmission time is less than or equal to the current user expected transmission time; and
s203, at least one program required to be closed is determined from the current programs, wherein the network bandwidth occupied by the at least one program required to be closed is larger than the current network bandwidth expected to be released. The network bandwidth occupied by the finally closed program may not be completely equal to the network bandwidth expected to be released, but must be larger than the network bandwidth expected to be released, so that the uploaded data can be successfully transmitted within the time expected by the user.
Preferably, determining at least one program to be shut down from the current programs by any one of the following means includes:
1. the network bandwidth occupied by at least one program needing to be closed is closest to the current network bandwidth expected to be released;
2. the minimum number of at least one program that needs to be shut down;
3. the quantity of the at least one program required to be closed is smaller than a preset quantity threshold, for example, the material conveying threshold is 2, and the bandwidth difference value between the network bandwidth occupied by the at least one program required to be closed and the current network bandwidth expected to be released is smaller than a preset bandwidth difference threshold, where the bandwidth difference threshold is 20KBps.
According to the above rule, when the program 1 occupies 100KBps of network bandwidth, the program 2 occupies 40KBps of network bandwidth, the program 3 occupies 60KBps of network bandwidth, the program 4 occupies 80KBps of network bandwidth, the program 5 occupies 30KBps of network bandwidth, and the program 6 occupies 20KBps of network bandwidth. At this time, when the current network bandwidth desired to be released is 150KBps, if the method 1 is adopted, the programs required to be closed are the program 1, the program 5 and the program 6, because the sum of the three is just equal to 150KBps, and if the method 2 is adopted, the programs required to be closed are the program 1, the program 3 or the program 1 and the program 4, the two programs are closed, and the required 150KBps can be achieved. If the method 3 is adopted, the programs to be closed are the program 1 and the program 3, the total closing process number of the two programs is 2, and the bandwidth difference is 10KBps, so that the requirements are met. It is emphasized that, in any case, the sum of the released network bandwidths is necessarily greater than the network bandwidth desired to be released. In addition, the occupied bandwidth of the program is the bandwidth allocated by the program, not to say how much bandwidth the program has, wherein in the present invention, the occupied bandwidth (network speed) is approximately considered to be linearly superposed.
Further preferably, as shown in fig. 3, after the current estimated data transmission time is less than or equal to the current user expected transmission time, the intelligent data transmission method for cloud computing meeting the user requirement may include:
s301, detecting whether newly added uploading data influencing the estimated data transmission time exists in real time. The user can autonomously continue to select the uploaded data according to the requirement.
S302, when the detection result shows that the newly added upload data affecting the estimated data transmission time, continuously judging whether the current estimated data transmission time is longer than the transmission time expected by the current user, when the continuously judged result shows that the current estimated data transmission time is longer than the transmission time expected by the current user, popping up prompt information and a selection operation window, and responding to the operation of the user aiming at the selection operation window to determine whether to continuously transmit the newly added upload data. The prompt message indicates that the newly added upload data or the opened program affects the current data transmission speed and whether to continue uploading is determined, the selection operation window mainly comprises two options, namely 'continue uploading' and 'reject/later uploading', and a user can select one of the two options.
Preferably, after the result of the continuous judgment shows that the current estimated data transmission time is greater than the current user expected transmission time, the intelligent data cloud computing method may further include: popping up a sequence selection window, wherein the sequence selection window is configured to respond to the selection operation of a user and determine the uploading sequence of the previous uploading data and the newly added uploading data. The sequence selection window is used for showing a data uploading sequence required to be selected by a user, and the data uploading sequence can be that first data are uploaded in advance and then current data are uploaded, or the current data are directly uploaded in advance so as to complete urgent cloud computing in an inserting queue.
Preferably, the pop-up sequence selection window is configured to pop-up when a difference between the current estimated data transmission time and the current user desired transmission time is greater than a preset time threshold. The pop-up of the sequential selection window indicates that when the transmission time of the currently estimated data is 20min and the difference value of the expected transmission time of the user is greater than 5min, the newly added uploaded data is considered to seriously influence the uploading of the previous data, so the pop-up window warns the user and allows the user to confirm the uploaded data.
Preferably, the determining at least one transit node includes: acquiring a node list from a scheduling center, and acquiring network detection results corresponding to each node in the node list, wherein the network detection can be realized by adopting other detection devices or detection means; and comparing the detection results of each network, and acquiring nodes showing that the transmission speed is in a preset number before as the determined at least one transfer node, wherein the preset number is associated with the size of the uploaded data, when the uploaded data is 100M, the preset number is 2, the preset number is increased along with the increase of the uploaded data, and the maximum number is not more than 20.
In addition, the invention also provides a data transmission system for cloud computing meeting user requirements, which is used for a client for uploading data, and the intelligent data transmission system for cloud computing meeting the user requirements comprises: the time acquisition unit is used for acquiring user expected transmission time corresponding to data to be uploaded in cloud computing and estimated data transmission time of the client in the current network state in real time; and a client control unit, configured to determine whether the client includes at least one program occupying a network bandwidth when the current estimated data transmission time is greater than the current user expected transmission time, where the method includes: the program management module is used for acquiring the network bandwidth occupied by each current program in the client and the current difference between the current user expected transmission time and the current estimated data transmission time when the judgment result is yes, and determining at least one program required to be closed according to the network bandwidth occupied by each current program and the current difference so as to enable the current estimated data transmission time to be less than or equal to the current user expected transmission time; and the node management module is used for determining at least one transfer node when the judgment result is negative, so that the data to be uploaded by the cloud computing is uploaded through the at least one transfer node, and the current estimated data transmission time is smaller than or equal to the current user expected transmission time.
Preferably, the determining, by the program management module, at least one program that needs to be closed according to the network bandwidth occupied by each current program and the current difference includes: the corresponding relation obtaining submodule is used for obtaining the corresponding relation between each pre-configured network bandwidth expected to be released and each difference value; the expected release bandwidth determining submodule is used for determining the network bandwidth which is expected to be released currently according to the corresponding relation and the current difference value; and a program determining and closing submodule, configured to determine at least one program required to be closed from among the current programs, where a network bandwidth occupied by the at least one program required to be closed is greater than the network bandwidth currently expected to be released.
Preferably, the program determination shutdown submodule determines at least one program requiring shutdown from among the current programs by any one of: the network bandwidth occupied by at least one program needing to be closed is closest to the network bandwidth which is expected to be released currently; or a minimum number of at least one program that needs to be shut down; or the number of the at least one program required to be closed is smaller than a preset number threshold, and the bandwidth difference between the network bandwidth occupied by the at least one program required to be closed and the current network bandwidth expected to be released is smaller than a preset bandwidth difference threshold.
Preferably, the intelligent data transmission system for cloud computing meeting the user requirement further comprises: a newly added data detection module for detecting whether newly added upload data affecting the estimated data transmission time is added in real time after the current estimated data transmission time is less than or equal to the transmission time expected by the current user; and the window popping and confirming transmission module is used for continuously judging whether the transmission time of the current estimated data is greater than the transmission time expected by the current user or not when the detection result is yes, popping a prompt message and an operation selection window when the continuous judgment result is yes, and responding to the operation of the user aiming at the operation selection window to determine whether to continuously transmit the newly-added uploaded data or not.
Preferably, the intelligent data transmission system may further include: and the sequential selection window popup module is used for popping up a sequential selection window after the result of the continuous judgment shows that the transmission time of the current estimated data is greater than the transmission time expected by the current user, wherein the sequential selection window is configured to respond to the selection operation of the user and determine the sequential uploading sequence of the previous uploading data and the newly-added uploading data.
Preferably, the pop-up sequence selection window is configured to pop-up when a difference between the current estimated data transmission time and the current user desired transmission time is greater than a preset time threshold.
Preferably, the determining at least one transit node may include: acquiring a node list from a scheduling center, and acquiring network detection results corresponding to each node in the node list; and comparing the network detection results, and acquiring nodes with the network detection results showing that the transmission speed is in the preset number as the determined at least one transfer node, wherein the preset number is associated with the size of the uploaded data.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising one of ...does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (7)
1. An intelligent data transmission method for cloud computing meeting the requirements of users is used for a client for uploading data and is characterized in that,
acquiring user expected transmission time corresponding to data to be uploaded by cloud computing and estimated data transmission time of the client in the current network state in real time; and
when the current estimated data transmission time is larger than the current user expected transmission time, judging whether the client side comprises at least one program occupying the network bandwidth,
when the judgment result is yes, acquiring the network bandwidth occupied by each current program in the client and the current difference between the current user expected transmission time and the current estimated data transmission time, and determining at least one program required to be closed according to the network bandwidth occupied by each current program and the current difference so as to enable the current estimated data transmission time to be less than or equal to the current user expected transmission time;
if the judgment result is negative, determining at least one transfer node, so that data to be uploaded by cloud computing is uploaded through the at least one transfer node, and the current estimated data transmission time is smaller than or equal to the current user expected transmission time;
after the current estimated data transmission time is less than or equal to the current user expected transmission time, the intelligent data transmission method for cloud computing meeting the user requirements comprises the following steps:
detecting whether newly added uploading data influencing the transmission time of the estimated data are added in real time;
when the detection result is yes, continuously judging whether the transmission time of the current estimated data is greater than the transmission time expected by the current user, when the continuous judgment result is yes, popping up prompt information and a selection operation window, and responding to the operation of the user aiming at the selection operation window to determine whether to continuously transmit the newly-added uploaded data;
after the result of the continuous judgment shows that the current estimated data transmission time is greater than the current user expected transmission time, the intelligent data transmission method further comprises the following steps:
popping up a sequence selection window, wherein the sequence selection window is configured to respond to the selection operation of a user and determine the sequential uploading sequence of the prior uploading data and the newly added uploading data;
the pop-up sequence selection window is configured to pop-up when a difference between the current estimated data transmission time and the current user desired transmission time is greater than a preset time threshold.
2. The intelligent data transmission method for cloud computing meeting user requirements of claim 1, wherein determining at least one program to be closed according to a network bandwidth occupied by each current program and a current difference comprises:
acquiring the corresponding relation between each pre-configured network bandwidth expected to be released and each difference value;
determining the network bandwidth expected to be released currently according to the corresponding relation and the current difference value; and
and determining at least one program required to be closed from the current programs, wherein the network bandwidth occupied by the at least one program required to be closed is larger than the current network bandwidth expected to be released.
3. The intelligent data transmission method for cloud computing meeting the user demand according to claim 2, wherein the determining at least one program required to be closed from the current programs by any one of the following manners comprises:
the network bandwidth occupied by at least one program needing to be closed is closest to the network bandwidth which is expected to be released currently; or alternatively
The minimum number of at least one program that needs to be shut down; or
The number of the at least one program required to be closed is smaller than a preset number threshold, and the bandwidth difference between the network bandwidth occupied by the at least one program required to be closed and the current network bandwidth expected to be released is smaller than a preset bandwidth difference threshold.
4. The intelligent data transmission method for cloud computing meeting the user demand of claim 1, wherein the determining at least one transit node comprises:
acquiring a node list from a scheduling center, and acquiring network detection results corresponding to each node in the node list; and
and comparing the network detection results, and acquiring nodes of which the network detection results show that the transmission speed is in the preset number as the determined at least one transfer node, wherein the preset number is associated with the size of the uploaded data.
5. An intelligent data transmission system for cloud computing meeting user requirements, which is used for uploading data, and is characterized by comprising:
the time acquisition unit is used for acquiring user expected transmission time corresponding to data to be uploaded in cloud computing and estimated data transmission time of the client in the current network state in real time; and
the client control unit is used for judging whether the client comprises at least one program occupying network bandwidth when the current estimated data transmission time is greater than the current user expected transmission time, and comprises the following steps:
the program management module is used for acquiring the network bandwidth occupied by each current program in the client and the current difference value between the current user expected transmission time and the current estimated data transmission time when the judgment result is yes, and determining at least one program to be closed according to the network bandwidth occupied by each current program and the current difference value so as to enable the current estimated data transmission time to be less than or equal to the current user expected transmission time;
and the node management module is used for determining at least one transfer node when the judgment result is negative, so that the data to be uploaded by the cloud computing is uploaded through the at least one transfer node, and the current estimated data transmission time is smaller than or equal to the current user expected transmission time.
6. The intelligent data transmission system for cloud computing meeting the user demand of claim 5, wherein the determining, by the program management module, the at least one program that needs to be closed according to the network bandwidth occupied by each current program and the current difference value includes:
the corresponding relation obtaining submodule is used for obtaining the corresponding relation between each pre-configured network bandwidth expected to be released and each difference value;
the expected release bandwidth determining submodule is used for determining the network bandwidth which is expected to be released currently according to the corresponding relation and the current difference value; and
and the program determining and closing submodule is used for determining at least one program required to be closed from the current programs, wherein the network bandwidth occupied by the at least one program required to be closed is larger than the current network bandwidth expected to be released.
7. The intelligent data transmission system for cloud computing meeting the user's needs of claim 5, wherein the program determination shutdown submodule determines the at least one program to be shutdown from the current programs by any one of the following ways:
the network bandwidth occupied by at least one program needing to be closed is closest to the current network bandwidth expected to be released; or
The minimum number of at least one program that needs to be shut down; or
The number of the at least one program required to be closed is smaller than a preset number threshold, and the bandwidth difference between the network bandwidth occupied by the at least one program required to be closed and the current network bandwidth expected to be released is smaller than a preset bandwidth difference threshold.
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