CN106534281B - Data request response method, device and system - Google Patents

Abstract

The invention discloses a method, a device and a system for responding a data request, wherein the method comprises the steps of receiving at least one data processing request sent by a client; acquiring attribute information of request data indicated by the data processing request; determining a corresponding processing sequence of the request data according to a preset processing strategy and the attribute information of the request data; the corresponding data processing requests are responded to based on the processing order of the requested data. According to the embodiment of the invention, the processing priority is set for the request data according to the attribute information of the request data, so that the cloud server is prevented from processing a large number of data processing requests in a short time, the load of the cloud server is reduced, the efficiency of processing the data processing requests by the server is effectively improved, and the response speed of the server to the client data is improved.

Description

A method, device and system for responding to a data request

technical field

The invention belongs to the field of communication technologies, and in particular relates to a method, device and system for responding to a data request.

Background technique

Cloud service, also known as network service, refers to the use of network to communicate computing work of multiple computers, or to obtain services provided by remote hosts through network connection. The cloud server is generated based on cloud services. It is a lightweight communication and information management and marketing platform. It has the characteristics of high distribution and high virtualization, so that network resources can be fully utilized.

At present, the cloud server is mainly used to process data requests from clients, such as backup, storage, synchronization, etc.; however, when the cloud server goes down, it needs to process data requests from multiple clients in a short period of time when it is restarted, which is limited by the server load, which may result in slow response to some requests and low data processing efficiency.

SUMMARY OF THE INVENTION

The purpose of the present invention is to provide a method, device and system for responding to a data request, aiming at solving the problems of slow response of a cloud server to a data processing request and low data processing efficiency.

In order to solve the above-mentioned technical problems, the embodiments of the present invention provide the following technical solutions:

In a first aspect, the present invention provides a method for responding to a data request, including:

Receive at least one data processing request sent by the client;

Obtain attribute information of the request data indicated by the data processing request;

According to the preset processing strategy, according to the attribute information of the request data, determine the processing order of the corresponding request data;

A corresponding data processing request is responded to based on the processing order of the requested data.

In a second aspect, the present invention provides a device for responding to a data request, including:

a receiving unit, configured to receive at least one data processing request sent by the client;

an acquisition unit, configured to acquire attribute information of the request data indicated by the data processing request;

a determining unit, configured to determine the processing order of the corresponding request data according to the attribute information of the request data according to the preset processing strategy;

A response unit, configured to respond to a corresponding data processing request based on the processing order of the requested data.

In a third aspect, the present invention provides a system for responding to a data request, including a cloud server and at least one client, where the cloud server is the device for responding to the data request provided in the second aspect;

The client is configured to send a data processing request to the cloud server.

Compared with the prior art, in this embodiment of the present invention, when the cloud server receives multiple data processing requests sent by the client, it determines the processing order according to the attribute information of the requested data indicated by the data processing request, and responds accordingly based on the processing order. That is, according to the attribute information of the requested data, the processing priority is set for the requested data, so as to avoid the need for the cloud server to process a large number of data processing requests in a short time, reduce the load of the cloud server, effectively improve the efficiency of the server processing data processing requests, and improve the Responsiveness to client data.

Description of drawings

The technical solutions and other beneficial effects of the present invention will be apparent through the detailed description of the specific embodiments of the present invention with reference to the accompanying drawings.

FIG. 1 is a schematic diagram of a scenario of a data request response system provided by an embodiment of the present invention.

FIG. 2 is a schematic flowchart of a method for responding to a data request provided by an embodiment of the present invention.

FIG. 3 is another schematic flowchart of a method for responding to a data request provided by an embodiment of the present invention.

FIG. 4 is a schematic structural diagram of an apparatus for responding to a data request provided by an embodiment of the present invention.

FIG. 5 is another schematic structural diagram of an apparatus for responding to a data request provided by an embodiment of the present invention.

FIG. 6 is a schematic structural diagram of a server provided by an embodiment of the present invention.

Detailed ways

Please refer to the drawings, in which the same reference numerals represent the same components, and the principles of the present invention are exemplified by being implemented in a suitable computing environment. The following description is based on illustrated embodiments of the invention and should not be construed as limiting other embodiments of the invention not detailed herein.

In the following description, specific embodiments of the present invention will be described with reference to steps and symbols performed by one or more computers, unless otherwise stated. Accordingly, the steps and operations will be referred to several times as being performed by a computer, which reference herein includes operations by a computer processing unit of electronic signals representing data in a structured format. This operation transforms the data or maintains it in a location in the computer's memory system, which can be reconfigured or otherwise change the operation of the computer in a manner well known to testers in the art. The data structures maintained by the data are physical locations of the memory that have specific characteristics defined by the data format. However, the principles of the present invention are described by the above text, which is not meant to be a limitation, and testers in the art will understand that various steps and operations described below can also be implemented in hardware.

The principles of the present invention operate using numerous other general-purpose or special-purpose computing, communication environments, or configurations. Well-known examples of computing systems, environments, and configurations suitable for use in the present invention may include, but are not limited to, hand-held telephones, personal computers, servers, multiprocessor systems, microcomputer-based systems, mainframe computers, and A distributed computing environment including any of the above systems or apparatus.

The detailed descriptions will be given below.

The data request response system provided by the embodiment of the present invention mainly includes a data request response device and a client, wherein the data request response device may be specifically integrated in a network device such as a server or a gateway, such as a cloud server, etc. The client can be specifically a terminal such as a desktop computer, a tablet computer, a mobile phone, etc., and the server and the client can be connected through a wireless network.

For example, please refer to FIG. 1. FIG. 1 is a schematic diagram of a data request response system provided by the present invention. The data request response device is specifically integrated in the cloud server, and is mainly used to receive at least one data processing request sent by the client. For example, multiple clients can send data processing requests to the server, or one client can send multiple data processing requests to the server, etc.; then, the cloud server obtains the attribute information of the requested data indicated by the data processing request, such as the request The size of the data, the type of the requested data, etc.; then, according to the preset processing strategy, and according to the attribute information of the requested data, determine the processing order of the corresponding requested data, that is, determine the processing priority of the requested data; Finally, the corresponding data processing requests are responded to based on the processing order of the requested data, such as data synchronization, data transmission, data backup, and the like.

As shown in FIG. 1 , the system for responding to the data request may further include a client, where the client is configured to receive the data processing request input by the user through clicking, touching, sliding, etc., and send the data processing request to the cloud For the server, the data processing request may specifically be a data synchronization and/or data transmission and/or data backup request, etc.; or, receive a request response result returned by the cloud server, and so on.

In addition, the data request response system may further include a memory, wherein the memory stores a preset processing strategy, so that after the cloud server obtains the attribute information of the requested data, the cloud server can call it to respond to the data processing request.

In this embodiment, description will be made from the perspective of a device for responding to a data request. The device for responding to a data request may specifically be integrated in a network device such as a server or a gateway, such as a cloud server and the like.

A method for responding to a data request, comprising: receiving at least one data processing request sent by a client; acquiring attribute information of the request data indicated by the data processing request; and determining a corresponding request according to a preset processing strategy and the attribute information of the request data Data processing order; respond to the corresponding data processing request based on the processing order of the requested data.

Please refer to FIG. 2, which is a schematic flowchart of a method for responding to a data request provided by an embodiment of the present invention. The method includes:

In step S101, at least one data processing request sent by the client is received.

For example, the client can be preset with an input interface, such as a terminal application APP (Application) for data processing, or an input control, and the user can trigger the input interface by clicking, touching, sliding, etc. to input data processing to the client request, and the client sends the data processing request to the cloud server.

It can be understood that the at least one data processing request may be a data processing request sent by multiple clients to the cloud server, or may be multiple data processing requests sent by one client to the cloud server, which is not specifically limited here.

In some embodiments, receiving at least one data processing request sent by the client (ie, step S101 ) may specifically include:

After the cloud server is restarted, at least one data processing request sent by the client during the restart is received.

Among them, when the cloud server is down, or the power is cut off, or the business is adjusted, the server needs to be restarted. During this period, the client may send multiple data processing requests to the cloud server; therefore, after the cloud server restarts , needs to receive multiple data processing requests sent by the client during the restart.

In some embodiments, after receiving at least one data processing request sent by the client (ie, step S101 ), the method may further include:

(1) Calculate the number of data processing requests.

(2) When it is determined that the number of data processing requests is greater than a preset threshold, trigger execution to obtain attribute information of the request data indicated by the data processing request.

That is to say, when the cloud server determines that the number of received data processing requests is greater than the preset threshold, it will determine the sequence of the data processing request responses according to the attribute information of the requested data.

In step S102, attribute information of the request data indicated by the data processing request is acquired.

In some embodiments, acquiring the attribute information of the request data indicated by the data processing request (ie, step S102 ) may specifically include:

(a) Obtain the data size and/or data type of the requested data indicated by the data processing request.

(b) Determining the data size and/or data type of the request data as attribute information of the request data.

It can be understood that the attribute information of the requested data in this embodiment of the present invention may include one or more combinations of information such as data size, data type, data source, and data upload time, which are not specifically limited here.

In step S103, according to the preset processing strategy, according to the attribute information of the request data, the processing order of the corresponding request data is determined.

Among them, there are many implementation ways for the cloud server to determine the processing order of the corresponding request data according to the attribute information of the request data according to the preset processing strategy. :

(A) Determine the maximum throughput of the cloud server.

(B) According to the preset processing strategy, in combination with the maximum throughput of the cloud server, and the data size and/or data type, determine the processing order of the corresponding request data.

For example, the maximum throughput of the cloud server is 1M. If the preset processing strategy is set to preferentially process data with a smaller amount of data, the cloud server determines the data based on the preset processing strategy, the data amount of each requested data, and the maximum throughput. Data with a smaller amount of data has a higher priority, data with a larger amount of data has a lower priority, and data with a higher priority is executed first.

In step S104, the corresponding data processing request is responded to based on the processing order of the requested data.

For example, the cloud server sequentially responds to the corresponding data processing requests according to the processing order of the requested data determined in step S103, and performs corresponding processing operations, such as data synchronization, data transmission, data backup, and the like.

It can be seen from the above that the response method for data requests provided in this embodiment, when the cloud server receives multiple data processing requests sent by the client, determines the processing order according to the attribute information of the requested data indicated by the data processing request, and based on the data processing request. The processing order responds to the corresponding data processing request; that is, the processing priority is set for the requested data according to the attribute information of the requested data, so as to avoid the need for the cloud server to process a large number of data processing requests in a short time, reduce the load of the cloud server, and effectively improve the server's processing of data processing requests. efficiency and improve the response speed to client data.

According to the methods described in the above embodiments, the following examples will be used for further detailed description.

Because when the cloud server is restarted after being down, the cloud server needs to process data processing requests from multiple clients in a short period of time. Due to the load on the cloud server, it may cause slow responses to some requests. The data processing request may specifically be a data synchronization and/or data transmission and/or data backup request, and so on. Based on this, this embodiment provides a data processing strategy after a cloud server is restarted after a shutdown, which can effectively improve the efficiency of processing data requests after the server is restarted, and improve the responsiveness to client data.

Please refer to FIG. 3 , which is another schematic flowchart of a method for responding to a data request according to an embodiment of the present invention. The method mainly includes:

In step S201, after the cloud server is restarted, multiple data processing requests sent by the client during the restart are received.

For example, when the cloud server is down, or the power is cut off, or the business is adjusted, the server needs to be restarted. During this period, the client may send multiple data processing requests to the cloud server; therefore, after the cloud server restarts , may receive a large number of data processing requests sent by the client during the restart.

For another example, during the restart of the cloud server, data processing requests sent by multiple clients to the cloud server may be received, and multiple data processing requests sent by one client to the cloud server may also be received.

In some embodiments, it may be preferable to trigger the data processing strategy to respond if the cloud server determines that the number of received data processing requests is greater than a preset threshold; otherwise, the data processing requests may be processed in chronological order. respond.

In step S202, the data size and data type of the requested data indicated by the data processing request are determined.

For example, according to the preset processing strategy, according to the data size and data type of the requested data indicated by the data processing request, the request data can be classified. Large SMS sync data and more.

It can be understood that a data volume threshold is set to define whether the requested data is a large data volume or a small data volume. If it is less than the data volume threshold, it can be regarded as request data with a small data volume. If it is greater than the data volume threshold, it can be regarded as request data with a large amount of data. For example, if the data size is between 0 and 30K, it can be regarded as the request data with a small amount of data, and if the data size is larger than 30K, it can be regarded as the request data with a large amount of data.

Further, the data size can also be characterized according to the data type, such as setting switch data, setting identification data, etc., can be considered as request data with a small amount of data; SMS synchronization data, information backup data, etc. can be considered as requests with a large amount of data. data, which is not specifically limited here.

In step S203, the maximum throughput of the cloud server is determined.

In step S204, according to the preset processing policy that the data processing request with the smaller amount of data is preferentially responded to, combined with the maximum throughput of the cloud server, and the data size and data type of the requested data, determine the corresponding processing of the requested data order.

In step S205, the corresponding data processing request is responded to based on the processing order of the requested data.

For example, if the pre-set processing strategy is that data processing requests with a smaller amount of data are given priority to be responded to, the result is that after the cloud server restarts, data processing requests with a smaller amount of data from the client are given priority to be responded to, so that you can Respond to more client requests while transferring the same amount of data.

Specifically, for example, the maximum throughput of the cloud server is 1M. After restarting, it receives 10 100K data processing requests and 100 10K data processing requests. According to the preset data processing request with a smaller amount of data, the data processing request will be responded first. With this processing strategy, the cloud server will respond to the 100 client requests with 10K data first, and then respond to 10 client requests with 100K data, that is to say, it will respond to 100 client requests immediately after restarting, compared to 10 A client request greatly improves the efficiency of the client response, and improves the user experience and product competitiveness.

It can be understood that, for parts that are not described in detail in this embodiment, reference may be made to the detailed description of the response method for the data request above, and details are not repeated here.

As can be seen from the above, the response method for data requests provided in this embodiment, when the cloud server receives multiple data processing requests sent by the client, determines the processing order according to the data size and data type of the requested data indicated by the data processing request. , and respond to the corresponding data processing request based on the processing order; that is, set the processing priority of the request data according to the attribute information of the request data, so as to avoid the cloud server needing to process a large number of data processing requests in a short time, and reduce the load of the cloud server, that is to say , respond to more client requests to the greatest extent, greatly improve the efficiency of client response, improve user experience and product competitiveness, can effectively improve the efficiency of processing client data requests after the cloud service is restarted, and maximize the response speed .

In order to better implement the method for responding to a data request provided by the embodiment of the present invention, the embodiment of the present invention further provides an apparatus and system based on the method for responding to the data request above. The meanings of the nouns are the same as those in the above method for responding to a data request, and for specific implementation details, please refer to the description in the method embodiment.

Please refer to FIG. 4 . FIG. 4 is a schematic structural diagram of a data request response apparatus 300 according to an embodiment of the present invention. The data request response apparatus 300 mainly includes a receiving unit 301 , an obtaining unit 302 , a determining unit 303 , and a responding unit 304 .

The receiving unit 301 is configured to receive at least one data processing request sent by the client.

For example, the client may be preset with an input interface, such as a terminal application APP for data processing, or an input control. The user can trigger the input interface by clicking, touching, sliding, etc., to input a data processing request to the client, and The client sends the data processing request to the cloud server.

It can be understood that the at least one data processing request may be a data processing request sent by multiple clients to the cloud server, or may be multiple data processing requests sent by one client to the cloud server, which is not specifically limited here.

In some embodiments, the receiving unit 301 may be specifically configured to receive at least one data processing request sent by the client during the restart after the cloud server is restarted.

Among them, when the cloud server is down, or the power is cut off, or the business is adjusted, the server needs to be restarted. During this period, the client may send multiple data processing requests to the cloud server; therefore, after the cloud server restarts , needs to receive multiple data processing requests sent by the client during the restart.

The obtaining unit 302 is configured to obtain attribute information of the request data indicated by the data processing request; the determining unit 303 is configured to determine the processing order of the corresponding request data according to the attribute information of the request data according to a preset processing strategy.

For example, if the preset processing strategy is set to preferentially process data with a smaller amount of data, the cloud server determines that data with a smaller amount of data has a higher priority based on the preset processing strategy and the data amount of each requested data. Data with a larger amount of data has a lower priority, and data with a higher priority is executed first.

The response unit 304 is configured to respond to the corresponding data processing request based on the processing order of the requested data.

For example, the cloud server sequentially responds to the corresponding data processing requests according to the processing order of the requested data determined by the determining unit 303, and performs corresponding processing operations, such as data synchronization, data transmission, data backup, and the like.

Please also refer to FIG. 5. FIG. 5 is a schematic structural diagram of an apparatus 400 for responding to a data request according to an embodiment of the present invention; wherein, the obtaining unit 302 may specifically include:

The obtaining subunit 3021 is configured to obtain the data size and/or data type of the requested data indicated by the data processing request.

The first determination subunit 3022 is configured to determine the data size and/or data type of the requested data as attribute information of the requested data.

It can be understood that the attribute information of the requested data in this embodiment of the present invention may include one or more combinations of information such as data size, data type, data source, and data upload time, which are not specifically limited here.

Wherein, for example, when the attribute information data size and/or data type, as shown in FIG. 5 , the determining unit 303 may specifically include:

The second determination subunit 3031 is configured to determine the maximum throughput of the cloud server.

The third determination subunit 3032 is configured to determine the processing order of the corresponding request data according to the preset processing strategy, in combination with the maximum throughput of the cloud server, and the size and/or data type of the data.

For example, the maximum throughput of the cloud server is 1M. If the preset processing strategy is set to preferentially process data with a smaller amount of data, the cloud server determines the data based on the preset processing strategy, the data amount of each requested data, and the maximum throughput. Data with a smaller amount of data has a higher priority, data with a larger amount of data has a lower priority, and data with a higher priority is executed first.

As shown in FIG. 5, in some embodiments, the device for responding to the data request may further include:

The calculation unit 305 is configured to calculate the number of the data processing requests.

The triggering unit 306 is configured to trigger the acquiring unit 302 to acquire attribute information of the request data indicated by the data processing request when it is determined that the number of the data processing requests is greater than a preset threshold.

That is to say, when the cloud server determines that the number of received data processing requests is greater than the preset threshold, it will determine the sequence of the data processing request responses according to the attribute information of the requested data.

During specific implementation, the above units can be implemented as independent entities, or can be arbitrarily combined to be implemented as the same or several entities. The specific implementation of the above units can refer to the previous method embodiments, which will not be repeated here.

The device for responding to the data request may specifically be integrated in a network device such as a server or a gateway, such as a cloud server and the like.

It can be seen from the above that, when the cloud server receives multiple data processing requests sent by the client, the device for responding to the data request provided in this embodiment determines the processing order according to the attribute information of the requested data indicated by the data processing request, and based on the data processing request. The processing order responds to the corresponding data processing request; that is, the processing priority is set for the requested data according to the attribute information of the requested data, so as to avoid the need for the cloud server to process a large number of data processing requests in a short time, reduce the load of the cloud server, and effectively improve the server's processing of data processing requests. efficiency and improve the response speed to client data.

In addition, the present invention also provides a system for responding to data requests. For reference, the system for responding to data requests as shown in FIG. 1 includes a cloud server and a client. The cloud server may include any data provided in the above embodiment. The device that responds to the request.

For example, the cloud server is mainly used to receive at least one data processing request sent by the client. For example, multiple clients can send data processing requests to the server, or one client can send multiple data processing requests to the server, etc. ; Then, the cloud server obtains the attribute information of the requested data indicated by the data processing request, such as the size of the requested data, and the type of the requested data, etc.; then, according to the preset processing strategy, and according to the attribute information of the requested data, determine The processing order of the corresponding request data is determined, that is, the processing priority of the requested data is determined; finally, based on the processing order of the requested data, the corresponding data processing request is responded to, such as data synchronization, data transmission, data backup and so on.

Further, after restarting, the cloud server receives at least one data processing request sent by the client during the restart. After that, the number of the data processing requests can be calculated; when it is determined that the number of the data processing requests is greater than a preset threshold, the execution of acquiring the attribute information of the request data indicated by the data processing request is triggered.

In some embodiments, the cloud server may obtain the data size and/or data type of the requested data indicated by the data processing request; determine the data size and/or data type of the requested data as attribute information of the requested data; Then, according to the preset processing strategy, in combination with the maximum throughput of the cloud server, and the size and/or data type of the data, the processing order of the corresponding request data is determined.

The system for responding to the data request may further include a client, where the client is configured to receive a data processing request input by the user through clicking, touching, sliding, etc., and send the data processing request to the cloud server, where the data processing request It may be specifically a request for data synchronization and/or data transmission and/or data backup, etc.; or, receiving a request response result returned by the cloud server, and so on.

It can be understood that, for the structure and function implementation of the apparatus for responding to the data request, reference may be made to the detailed description of the apparatus for responding to the data request above, which will not be repeated here.

An embodiment of the present invention provides a server 600, in which a response device for any data request provided in the above embodiment can be integrated. Referring to FIG. 6, it shows a schematic structural diagram of the server 600 involved in the embodiment of the present invention. In terms of:

The server 600 may include a processor 601 of one or more processing cores, a memory 602 of one or more computer-readable storage media, a radio frequency (RF) circuit 603 , a power supply 604 , an input unit 605 , and a display unit 606 and other parts. Those skilled in the art can understand that the server structure shown in FIG. 6 does not constitute a limitation on the server, and may include more or less components than the one shown, or combine some components, or arrange different components. in:

The processor 601 is the control center of the server, using various interfaces and lines to connect various parts of the entire server, by running or executing the software programs and/or modules stored in the memory 602, and calling the data stored in the memory 602, Execute various functions of the server and process data to monitor the server as a whole. Optionally, the processor 601 may include one or more processing cores; preferably, the processor 601 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, and application programs, etc. , the modem processor mainly deals with wireless communication. It can be understood that, the above-mentioned modulation and demodulation processor may not be integrated into the processor 601.

The memory 602 can be used to store software programs and modules, and the processor 601 executes various functional applications and data processing by running the software programs and modules stored in the memory 602 .

The RF circuit 603 can be used for signal reception and transmission in the process of sending and receiving information. In particular, after receiving the downlink information of the base station, it is handed over to one or more processors 601 for processing; in addition, it transmits uplink data to the base station.

The server also includes a power supply 604 (such as a battery) for supplying power to various components. Preferably, the power supply can be logically connected to the processor 601 through a power management system, so as to manage charging, discharging, and power consumption management functions through the power management system. Power source 604 may also include one or more DC or AC power sources, recharging systems, power failure detection circuits, power converters or inverters, power status indicators, and any other components.

The server may also include an input unit 605 that may be used to receive input numerical or character information and generate keyboard, mouse, joystick, optical or trackball signal input related to user settings and function control.

The server may also include a display unit 606, which may be used to display information input by or provided to the user and various graphical user interfaces of the server, which may consist of graphics, text, icons, video, and any combination thereof. The display unit 606 may include a display panel, and optionally, the display panel may be configured in the form of a liquid crystal display (LCD, Liquid Crystal Display), an organic light-emitting diode (OLED, Organic Light-Emitting Diode), and the like.

Specifically, in this embodiment, the processor 601 in the server loads the executable files corresponding to the processes of one or more application programs into the memory 602 according to the following instructions, and the processor 601 executes them and stores them in the memory 602 to realize various functions, as follows:

Receive at least one data processing request sent by the client, for example, multiple clients can send data processing requests to the server, or one client can send multiple data processing requests to the server, etc.; then, the cloud server obtains data processing requests The attribute information of the request data indicated by the request, such as the size of the request data and the type of the request data, etc.; then, according to the preset processing strategy, and according to the attribute information of the request data, determine the processing order of the corresponding request data , that is, determine the processing priority of the requested data; finally, respond to the corresponding data processing request based on the processing order of the requested data, such as data synchronization, data transmission, data backup and so on.

In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference may be made to the detailed description of the response method for a data request above, which will not be repeated here.

The apparatus for responding to the data request provided by the embodiment of the present invention is, for example, a computer, a tablet computer, a mobile phone with a touch function, etc. The apparatus for responding to the data request is the same as the method for responding to the data request in the above embodiment. The idea is that any method provided in the data request response method embodiment can be executed on the data request response device. For the specific implementation process, please refer to the data request response method embodiment, which will not be repeated here. .

It should be noted that, for the data request response method according to the present invention, ordinary testers in the art can understand that all or part of the process of implementing the data request response method according to the embodiment of the present invention can be controlled by a computer program. hardware, the computer program can be stored in a computer-readable storage medium, such as in the memory of the terminal, and executed by at least one processor in the terminal, and the execution process can include as described A flow of an embodiment of a data request response method. The storage medium may be a magnetic disk, an optical disk, a read only memory (ROM, Read Only Memory), a random access memory (RAM, Random Access Memory), and the like.

For the device for responding to the data request according to the embodiment of the present invention, each functional module may be integrated in a processing chip, or each module may exist physically alone, or two or more modules may be integrated in one module. . The above-mentioned integrated modules can be implemented in the form of hardware, and can also be implemented in the form of software function modules. If the integrated module is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium, such as a read-only memory, a magnetic disk or an optical disk, etc. .

A method, device, and system for responding to a data request provided by the embodiments of the present invention have been described above in detail. The principles and implementations of the present invention are described with specific examples in this paper. The descriptions of the above embodiments are only used for Help to understand the method of the present invention and its core idea; at the same time, for those skilled in the art, according to the idea of the present invention, there will be changes in the specific implementation and application scope. It should be understood as a limitation of the present invention.

Claims (6)

1. a kind of response method of request of data characterized by comprising

Beyond the clouds after server restarting, at least one data processing request that client is sent during restarting is received；

The quantity for calculating the data processing request, when the quantity for determining the data processing request is greater than preset threshold, Obtain the data volume size and data type of the request data of the data processing request instruction；

If data volume size is less than data-quantity threshold or data type is switch data or setting mark data, by number of request According to being determined as the lesser request data of data volume；

If it is short message synchrodata or information back-up data that data volume size, which is greater than data-quantity threshold or data type, will ask Data are asked to be determined as the biggish request data of data volume；

According to the processing strategie that the lesser data processing request of pre-set data volume is preferentially responded, corresponding request is determined The processing order of data；

Processing order based on the request data responds corresponding data processing request；

When determining the quantity of the data processing request no more than preset threshold, according to the time of the data processing request Sequencing is responded.

2. the response method of request of data according to claim 1, which is characterized in that described according to pre-set data The processing strategie that lesser data processing request is preferentially responded is measured, determines the processing order of corresponding request data, comprising:

Determine the maximum throughput of cloud server；

According to the processing strategie that the lesser data processing request of pre-set data volume is preferentially responded, taken in conjunction with the cloud The maximum throughput of business device, determines the processing order of corresponding request data.

3. a kind of responding device of request of data characterized by comprising

Receiving unit, at least one that client is sent after the restarting of server beyond the clouds, during receiving restarting Data processing request；

Computing unit, for calculating the quantity of the data processing request；

Acquiring unit, for obtaining at the data when the quantity for determining the data processing request is greater than preset threshold The data volume size and data type of the request data of reason request instruction；If data volume size is less than data-quantity threshold or data Type is switch data or setting mark data, then request data is determined as the lesser request data of data volume；If data volume It is short message synchrodata or information back-up data that size, which is greater than data-quantity threshold or data type, then is determined as request data The biggish request data of data volume；

Determination unit, the processing strategie for preferentially being responded according to the lesser data processing request of pre-set data volume, Determine the processing order of corresponding request data；

Response unit responds corresponding data processing request for the processing order based on the request data.

4. the responding device of request of data according to claim 3, which is characterized in that the determination unit includes:

Second determines subelement, for determining the maximum throughput of cloud server；

Third determines subelement, the processing for preferentially being responded according to the lesser data processing request of pre-set data volume Strategy determines the processing order of corresponding request data in conjunction with the maximum throughput of the cloud server.

5. a kind of response system of request of data, including cloud server and at least one client, which is characterized in that described Cloud server is the responding device of the described in any item request of data of claim 3 to 4；

The client is used for, and Xiang Suoshu cloud server sends data processing request.

6. a kind of computer readable storage medium, is stored with computer program, wherein the computer program makes computer Execute such as the described in any item methods of claim 1 to 2.