CN113867946A - Method, device, storage medium and electronic equipment for accessing resources - Google Patents

Method, device, storage medium and electronic equipment for accessing resources Download PDF

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Publication number
CN113867946A
CN113867946A CN202111119050.8A CN202111119050A CN113867946A CN 113867946 A CN113867946 A CN 113867946A CN 202111119050 A CN202111119050 A CN 202111119050A CN 113867946 A CN113867946 A CN 113867946A
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China
Prior art keywords
server
resource
target
terminal equipment
access requests
Prior art date
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Pending
Application number
CN202111119050.8A
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Chinese (zh)
Inventor
周军强
张军
宋德超
王灿良
黄彦植
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Gree Electric Appliances Inc of Zhuhai
Zhuhai Lianyun Technology Co Ltd
Original Assignee
Gree Electric Appliances Inc of Zhuhai
Zhuhai Lianyun Technology Co Ltd
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Application filed by Gree Electric Appliances Inc of Zhuhai, Zhuhai Lianyun Technology Co Ltd filed Critical Gree Electric Appliances Inc of Zhuhai
Priority to CN202111119050.8A priority Critical patent/CN113867946A/en
Publication of CN113867946A publication Critical patent/CN113867946A/en
Pending legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
    • G06F9/505—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the load
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/48—Program initiating; Program switching, e.g. by interrupt
    • G06F9/4806—Task transfer initiation or dispatching
    • G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
    • G06F9/4881—Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5083—Techniques for rebalancing the load in a distributed system

Abstract

The embodiment of the application discloses a method, a device, a storage medium and electronic equipment for accessing resources, and belongs to the field of network communication. The method of the embodiment of the application comprises the following steps: receiving m resource access requests from n terminal devices; if the target terminal equipment exists in the n terminal equipment, determining a target server in the server cluster; determining resource data to be accessed according to resource IDs carried in a plurality of resource access requests from target terminal equipment, and scheduling the resource data to a target server; forwarding the plurality of resource access requests to the target server; the resource data returned by the target server are forwarded to the target terminal equipment, so that the resource loading speed of the terminal equipment can be increased under the condition that the terminal equipment initiates a large number of requests in a short time.

Description

Method, device, storage medium and electronic equipment for accessing resources
Technical Field
The present application relates to the field of network communications, and in particular, to a method, an apparatus, a storage medium, and an electronic device for accessing a resource.
Background
In the intelligent home system, a user accesses resources in a server through terminal equipment, the types of the resources comprise web pages, pictures, files and the like, the server responds to a resource access request of the terminal equipment and sends the resources to the terminal equipment, along with the increase of the scale in the intelligent home system, the number of the terminal equipment is more and more, the access amount of the terminal equipment is increased, a plurality of terminal equipment can simultaneously access the same resource in the server, or the terminal equipment sends a large number of requests in a short time, and the processing capacity of the server is exceeded, so that the load condition of the server is reduced, and the response speed of the terminal equipment for loading the resources is the problem to be solved urgently at present.
Disclosure of Invention
In order to solve the technical problems, the application provides a method, a device, a storage medium and an electronic device for accessing resources, which solve the problem that in the prior art, a terminal device loads resource data slowly.
In a first aspect, the present application provides a method for accessing a resource, including:
receiving m resource access requests from n terminal devices; wherein m and n are integers greater than 1, and each resource access request carries a source IP address and a resource ID;
if the target terminal equipment exists in the n terminal equipment, determining a target server in a server cluster; the target terminal equipment is terminal equipment with the access quantity larger than a first quantity threshold value in a preset time length; the target server is a server with the optimal link quality with the target terminal equipment;
determining resource data to be accessed according to resource IDs carried in a plurality of resource access requests from the target terminal equipment, and scheduling the resource data to the target server;
forwarding the plurality of resource access requests to the target server;
and forwarding the resource data returned by the target server to the target terminal equipment.
In one possible design, the method further includes:
if the target terminal equipment does not exist in the n terminal equipment, determining a plurality of resource data to be accessed by the n terminal equipment according to the resource ID carried by the m resource access requests;
judging whether target resource data exist in the plurality of resource data; the target resource data is resource data with preset duration that the access quantity is greater than a second quantity threshold;
if so, inquiring a server set storing the target resource data in the server cluster;
determining k resource access requests for accessing target resource data in the m resource access requests; wherein k is less than m and is an integer;
uniformly forwarding the k resource access requests to each server in the server set;
and forwarding the target resource data returned by each server in the server set to the corresponding terminal equipment.
In one possible design, the evenly forwarding the resource access requests in the resource access set to the servers in the server set includes:
determining a terminal equipment set which sends the k resource access requests and the number of the resource access requests sent by each terminal equipment in the terminal equipment set;
for each terminal device in the terminal device set, inquiring a server closest to the terminal device in the server set;
and uniformly forwarding the k resource access requests to each server in the server set according to the number of the resource access requests sent by each terminal device and the query result.
In one possible design, the determining a target server in a server cluster includes:
sending a test data packet to each server, and receiving a response data packet returned by each server in response to the test data packet;
calculating the round-trip time of each server based on the sending time of the test data packet and the receiving time of the response data packet;
taking the server with the minimum round trip time as a target server; or
Monitoring the parameter values of the load state parameters of each server;
taking the server with the lightest load state as a target server; or
Acquiring geographical position information of target terminal equipment and geographical position information of each server;
and taking the server closest to the target terminal equipment as a target server.
In one possible design, the obtaining address location information includes:
analyzing the geographical position information of the terminal equipment carried in the resource access request; or
And analyzing the resource access request to obtain a source IP address, and determining corresponding geographic position information according to the source IP address.
In one possible design, the method further includes:
and compressing the resource data from the server.
In one possible design, further comprising:
and synchronizing the updated resource data to each server of the server cluster when the server cluster is detected to be in an idle state.
In a second aspect, the present application provides an apparatus for accessing a resource, comprising:
a receiving and sending unit, which is used for receiving m resource access requests from n terminal devices; wherein m and n are integers greater than 1, and each resource access request carries a source IP address and a resource ID;
a determining unit, configured to determine a target server in the server cluster if a target terminal device exists in the n terminal devices; the target terminal equipment is terminal equipment with the access quantity larger than a first quantity threshold value in a preset time length; the target server is a server with the optimal link quality with the target terminal equipment;
the scheduling unit is used for determining resource data to be accessed according to resource IDs carried in a plurality of resource access requests from the target terminal equipment and scheduling the resource data to the target server;
the transceiver unit is further configured to forward the plurality of resource access requests to the target server;
the transceiver unit is further configured to forward the resource data returned by the target server to the target terminal device.
In one possible design, the method further includes:
the shunting unit is used for determining a plurality of resource data to be accessed by the n terminal devices according to the resource IDs carried by the m resource access requests if the target terminal device does not exist in the n terminal devices;
judging whether target resource data exist in the plurality of resource data; the target resource data is resource data with preset duration that the access quantity is greater than a second quantity threshold;
if so, inquiring a server set storing the target resource data in the server cluster;
determining k resource access requests for accessing target resource data in the m resource access requests; wherein k is less than m and is an integer;
uniformly forwarding the k resource access requests to each server in the server set;
and forwarding the target resource data returned by each server in the server set to the corresponding terminal equipment.
In one possible design, the evenly forwarding the resource access requests in the resource access set to the servers in the server set includes:
determining a terminal equipment set which sends the k resource access requests and the number of the resource access requests sent by each terminal equipment in the terminal equipment set;
for each terminal device in the terminal device set, inquiring a server closest to the terminal device in the server set;
and uniformly forwarding the k resource access requests to each server in the server set according to the number of the resource access requests sent by each terminal device and the query result.
In one possible design, the determining a target server in a server cluster includes:
sending a test data packet to each server, and receiving a response data packet returned by each server in response to the test data packet;
calculating the round-trip time of each server based on the sending time of the test data packet and the receiving time of the response data packet;
taking the server with the minimum round trip time as a target server; or
Monitoring the parameter values of the load state parameters of each server;
taking the server with the lightest load state as a target server; or
Acquiring geographical position information of target terminal equipment and geographical position information of each server;
and taking the server closest to the target terminal equipment as a target server.
In one possible design, the obtaining address location information includes:
carrying the geographical position information of the terminal equipment in the resource access request, and analyzing the resource access request to obtain the geographical position information; or
And analyzing the resource access request to obtain a source IP address, and determining corresponding geographic position information according to the source IP address.
In one possible design, the method further includes:
and the compression unit is used for compressing the resource data from the server.
In one possible design, further comprising:
and the synchronization unit is used for synchronizing the updated resource data to each server of the server cluster when the server cluster is detected to be in an idle state.
In another aspect, the present application provides an apparatus, which may implement the distributed task scheduling method of the first aspect or the second aspect. The apparatus may be a chip or a server, for example. The above-described method may be implemented by software, hardware, or by executing corresponding software by hardware.
In one possible implementation manner, the structure of the apparatus includes a processor, a memory; the processor is configured to support the apparatus to perform corresponding functions in the application testing method. The memory is used for coupling with the processor, which holds the necessary programs (instructions) and/or data for the device. Optionally, the apparatus may further include a communication interface for supporting communication between the apparatus and other network elements.
In another possible implementation manner, the apparatus may include unit modules for performing corresponding actions in the above-described method.
In yet another possible implementation, the wireless communication device includes a processor and a transceiver, the processor is coupled to the transceiver, and the processor is configured to execute a computer program or instructions to control the transceiver to receive and transmit information; the processor is further configured to implement the above-described method when the processor executes the computer program or instructions.
Yet another aspect of the present application provides an apparatus, comprising: a memory and a processor; wherein the memory stores a set of program codes, and the processor is configured to call the program codes stored in the memory and execute the method of the aspects.
Yet another aspect of the present application provides a computer-readable storage medium having stored therein instructions, which when executed on a computer, cause the computer to perform the method of the above-described aspects.
Yet another aspect of the present application provides a computer program product containing instructions which, when run on a computer, cause the computer to perform the method of the above-described aspects.
According to the embodiment, in resource data needing to be loaded, the access amount of each terminal device is monitored according to resource access requests from a plurality of terminal devices, when a terminal device with a large access amount exists in a short time, a server with the optimal link quality between the server and the terminal device is inquired in a server cluster, then the resource data to be accessed by the terminal device is dispatched to the inquired server so as to reduce the access pressure of the terminal device, the resource access requests of the terminal device are redirected to the server with the highest response speed, and the speed of loading the resource data by the terminal device is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a diagram of a network architecture provided by an embodiment of the present application;
FIG. 2 is a flowchart illustrating a method for accessing a resource according to an embodiment of the present disclosure;
FIG. 3 is another schematic flow chart diagram illustrating a method for accessing a resource according to an embodiment of the present application;
FIG. 4 is a schematic structural diagram of an apparatus provided in an embodiment of the present application;
fig. 5 is another schematic structural diagram of an apparatus provided herein.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance. It will be apparent to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
Fig. 1 shows an exemplary system architecture of a method for accessing a resource or an apparatus for accessing a resource, which can be applied to the present application.
As shown in fig. 1, the system architecture may include a terminal device 11, a terminal device 12, a terminal device 13, a load balancing apparatus 2, a server 31, a server 32, and a server 33. The server 31, the server 32 and the server 33 form a server cluster, each server in the server cluster stores resource data, and the load balancing device stores a mapping relationship between a server ID and a resource ID, so that the load balancing device can know the deployment condition of the resource data on each server. The terminal devices 11 to 13 communicate with the load balancing apparatus 2 via a network (not shown in fig. 1), and the load balancing apparatus 2 and the servers 31 to 32 communicate via a network, which is a medium for providing a communication link. The network may include various types of wired or wireless communication links, such as: the wired communication link includes an optical fiber, a twisted pair wire, or a coaxial cable, and the WIreless communication link includes a bluetooth communication link, a WIreless-FIdelity (Wi-Fi) communication link, or a microwave communication link, etc.
Users can use the terminal devices 11-13 to interact with the servers 31-33 through the load balancing device 2 so as to receive control data or service data from the servers or send messages to the servers 31-33. Various communication client applications can be installed on the terminal devices 11 to 13, for example: video recording application, video playing application, voice interaction application, search application, instant messaging tool, mailbox client, social platform software, etc.
The terminal devices 11 to 13 may be hardware or software. When the terminal devices 11-13 are hardware, they may be various electronic devices with a display screen, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like. When the terminal devices 11 to 13 are software, they may be installed in the electronic devices listed above. Which may be implemented as multiple software or software modules (e.g., to provide distributed services) or as a single software or software module, and is not particularly limited herein.
When the terminal devices 11 to 13 are hardware, a display device may be further installed thereon, and the display may be various devices capable of implementing a display function, for example: a Cathode ray tube display (CR), a Light-emitting diode display (LED), an electronic ink panel, a Liquid Crystal Display (LCD), a Plasma Display Panel (PDP), and the like. The user can utilize the display equipment on the terminal equipment 11-13 to check information such as displayed characters, pictures and videos.
It should be noted that, the method for accessing a resource provided in the embodiment of the present application is generally performed by the load balancing apparatus 2, and accordingly, the apparatus for accessing a resource is generally disposed in the server.
The servers 31 to 33 may be hardware or software. When the servers 31 to 33 are hardware, a distributed server cluster composed of a plurality of servers may be implemented, or a single server may be implemented. When the servers 31-33 are software, they may be implemented as a plurality of software or software modules (for example, for providing distributed services), or as a single software or software module, and are not limited herein.
It should be understood that the number of terminal devices, load balancing means and servers in fig. 1 is merely illustrative. Any number of terminal devices, load balancing devices and servers can be used according to implementation requirements.
In order to explain the technical solution described in the present application, the following description will be given by way of specific examples.
Referring to fig. 2, fig. 2 is a schematic flowchart of a method for accessing a resource according to an embodiment of the present application, where the method includes:
s201, m resource access requests from n terminal devices are received.
Wherein n is an integer greater than 1, m is greater than n, the terminal device is provided with an application program or a plug-in, and the resource access request is initiated by the application program or the plug-in. Each of the n terminal devices sends out at least one resource access request, the resource access request is used for requesting resource data, and different terminal devices may access the same resource data or different resource data. The types of the resource data include picture data, web page data, or file data. The resource access request carries a source IP address and a resource ID; the source IP address is the IP address of the terminal equipment initiating the resource access request, and the resource ID represents the identity of the resource data requested by the terminal equipment; further, the resource access request also carries a source port number, which indicates a serial number of a port used by the terminal device.
For example, n is 3, m is 200, 3 terminal devices are UE1, UE2 and UE3, UE1 issues 100 resource access requests, UE2 issues 80 resource access requests, and UE3 issues 20 resource access requests. Then, the load balancing device receives 200 resource access requests from 3 terminal devices, the time of a plurality of resource access requests sent by the same terminal device is different, the resource access requests sent by different terminal devices may be different, the resource access requests sent by each terminal device may access different resource data, and the resource access requests sent by each terminal device may also access the same resource data, which is determined according to the actual requirements.
S202, if the target terminal equipment exists in the n terminal equipment, determining a target server in the server cluster.
The load balancing device judges whether a target terminal device exists in the n terminal devices, and if the judgment result is yes, the number of the target terminal devices may be one or more. The load balancing device monitors the resource access condition of each terminal device according to the parameter values carried in the m resource access requests, if a terminal device with an access amount within a preset time length larger than a first quantity threshold exists in the n terminal devices, the terminal device is a target terminal device, the preset time length and the quantity threshold can be determined according to actual requirements, and the application is not limited. The access quantity indicates the quantity of resource access requests sent by the terminal equipment, if a target terminal equipment sends a large quantity of resource access requests in a short time, the servers in the server cluster may not respond in time, so that the problem that the requested resource data is slow to respond is caused, and the target terminal equipment cannot display the resource data for a long time when viewed from a user side. For example: the preset duration is 50 milliseconds, the first number threshold is 100 times, that is, when the number of resource access requests sent by a certain terminal device within 50 milliseconds exceeds 100 times, the terminal device is a target terminal device, and a plurality of resource access requests sent by the target terminal device may request different resource data or the same resource data.
The server cluster comprises a plurality of distributed deployed servers, and resource data are stored in each server. The target server is a server with the best link quality with the target terminal device in the server cluster, namely the target terminal device has the fastest response speed when accessing the resource data of the target server.
In the present embodiment, the method of determining the server may include the following three methods.
The method comprises the following steps:
a method of determining a target server in a server cluster, comprising:
sending a test data packet to each server, and receiving a response data packet returned by each server in response to the test data packet;
calculating the round-trip time of each server based on the sending time of the test data packet and the receiving time of the response data packet;
and taking the server with the minimum round trip time as the target server.
For example, the server cluster includes 4 servers, which are respectively a server 1, a server 2, a server 3, and a server 4, the load balancing device simultaneously sends test data packets to the 4 servers, records the sending time of the test data packets as 0.00 second, then receives a response data packet 1 from the server 1, and records the receiving time of the response data packet as 0.08 second; receiving a response data packet 2 from the server 2, and recording the receiving time of the response data packet 2 as 0.05 second; receiving a response data packet 3 from the server 3, and recording the receiving time of the response data packet 3 as 0.12 second; the response packet 4 from the server 4 is received, and the reception time of the response packet 4 is recorded as 0.15 second. Based on the above measurement results, it can be determined that the round trip time of the server 2 is the minimum, and then the server 2 is the target server.
The second method comprises the following steps:
determining a target server in a server cluster, comprising:
monitoring the parameter values of the load state parameters of each server;
and taking the server with the lightest load state as a target server.
Wherein, the load state parameter represents the weight of the load state of the server, and the load state parameter includes: one or more of CPU occupancy rate, memory occupancy rate and disk IO operation quantity. When the number of the load state parameters is multiple, weights are set for the multiple load state parameters, the weights can be determined based on actual demands, parameter values of the multiple load state parameters are calculated based on the weights, weighted average is carried out on the parameter values to obtain an average value, and the load state of each server is evaluated according to the average value.
The third method comprises the following steps:
determining a target server in a server cluster, comprising:
acquiring geographical position information of target terminal equipment and geographical position information of each server;
and taking the server closest to the target terminal equipment as a target server.
The geographical location information of the target terminal device indicates a geographical location of the target terminal device, the geographical location information of the server indicates a geographical location of the server, the geographical location may use longitude and latitude coordinates or an area code, and the granularity of an area indicated by the area code may be determined according to actual requirements, for example: the area is a large district, province or city. The position of each server in the server cluster is generally fixed and unchangeable, and the load balancing device prestores or pre-configures the geographical position information of each server. The load balancing device traverses the target server in the server cluster, and the traversing method can be a depth-first algorithm or a breadth-first algorithm.
In this embodiment, the method for acquiring the geographical location information of the target terminal device includes the following two methods.
The method comprises the following steps:
the target terminal equipment is internally provided with a positioning module which can be a GPS module, a Beidou module or a base station positioning module and the like, the terminal equipment acquires geographical position information based on a positioning module, then carries the geographical position information in a resource access request sent to the load balancing device, and the load balancing device analyzes the resource access request after receiving the resource server request to obtain the geographical position information of the target terminal equipment.
The second method comprises the following steps:
the resource access request sent by the target terminal device carries the source IP address thereof, the load balancing device prestores or preconfigures a mapping relation between the IP address and the geographical location information, and the geographical location information corresponding to the source IP address is inquired according to the mapping relation.
S203, determining resource data to be accessed according to the resource IDs carried in the multiple resource access requests from the target terminal equipment, and scheduling the resource data to be accessed to the target server.
The resource access requests sent by the target terminal equipment carry resource IDs, the resource data to be accessed of the target terminal equipment in the server cluster are determined according to the resource IDs, and then the resource data to be accessed are dispatched to the target server by the load balancing device.
For example, the resource ID carried by 100 resource access requests sent by the target terminal device determines that the resource data to be accessed by the target terminal device is: resource data 1, resource data 2, resource data 3, and resource data 4. 4 servers are deployed in the server cluster, and the servers are respectively as follows: the system comprises a server 1, a server 2, a server 3 and a server 4, wherein the server 2 is a target server, resource data 1 is stored on the server 1, resource data 3 and resource data 4 are stored on the server 4, and resource data 2 is stored on the server 2, namely the target server. The load balancing apparatus sends scheduling instructions to the server 1 to instruct the server 1 to send a copy of the resource data 1 to the server 2 and to the server 4 to instruct the server 4 to send a copy of the resource data 3 and the resource data 4 to the server 2, respectively.
S204, forwarding the plurality of resource access requests to the target server.
The load balancing device sequentially sends a plurality of resource access requests initiated by the target terminal equipment to the target server.
S205, forwarding the resource data returned by the target server to the target terminal equipment.
The target server obtains the resource data requested by each resource access request, and forwards the resource data to the target terminal equipment through the load balancing device.
In one or more possible embodiments, for other terminal devices (referred to as non-target terminal devices for short) than the target terminal device among the n terminal devices, after receiving a resource access request of the non-target terminal device, the load balancing apparatus determines resource data to be accessed by the resource access request, determines a server closest to the non-target terminal device in the server set, determines whether the resource data to be accessed is on the server closest to the distance, if not, schedules the resource data to be accessed to the server closest to the distance, and then forwards the resource access request to the server closest to the distance, so as to improve the access speed of the resource data.
By implementing the embodiment of the application, in the resource data needing to be loaded, the access amount of each terminal device is monitored according to the resource access requests from the plurality of terminal devices, when the terminal device with larger access amount exists in a short time, a server with the optimal link quality between the server and the terminal device is inquired in a server cluster, then the resource data to be accessed by the terminal device is dispatched to the inquired server so as to reduce the access pressure of the terminal device, the resource access requests of the terminal device are redirected to the server with the highest response speed, and the speed of loading the resource data by the terminal device is improved.
Referring to fig. 3, another schematic flow chart of a method for accessing a resource provided in an embodiment of the present application is shown, where in the embodiment of the present application, the method includes:
s301, m resource access requests from n terminal devices are received.
The specific process of S301 may refer to the description of S201 in fig. 2, and is not described herein again.
S302, judging whether the target terminal equipment exists in the n terminal equipment.
S303, determining a target server in the server cluster.
The specific processes of S302 and S302 may refer to the description of S202 in fig. 2, and are not described herein again.
S304, determining resource data to be accessed according to the resource IDs carried in the multiple resource access requests from the target terminal equipment, and scheduling the resource data to the target server.
The specific process of S304 may refer to the description of S203 in fig. 2, and is not described herein again.
S305, forwarding the plurality of resource access requests to the target server.
The specific process of S305 may refer to the description of S204 in fig. 2, and is not described herein again.
S306, the resource data returned by the target server is forwarded to the target terminal equipment.
The specific process of S306 may refer to the description of S205 in fig. 2, and is not described herein again.
S307, determining a plurality of resource data to be accessed by the n terminal devices according to the resource IDs of the m resource access requests.
The m resource access requests are sent by n terminal devices, a plurality of resource data to be accessed by each terminal device are determined according to resource IDs carried in the m resource access requests, and the resource data to be accessed by each terminal device may be the same or different.
For example: n is 3, m is 200, and 4 terminal devices are: UE1, UE2, and UE3, where the number of resource access requests issued by UE1 is 100, and the condition of resource data to be accessed corresponding to 100 resource access requests is: 50 resource data 1, 30 resource data 2, and 20 resource data 3; the number of resource access requests sent by the UE2 is 80, and the condition of resource data to be accessed corresponding to the 80 resource access requests is as follows: 40 resource data 1, 20 resource data 2, and 20 resource data 3; the number of resource access requests issued by the UE3 is 20, and the case of resource data corresponding to 20 resource access requests is: 10 resource data 1, 5 resource data 2 and 5 resource data 3. According to the above statistical result, it may be determined that the plurality of resource data are resource data 1, resource data 2, and resource data 3, and total 3 resource data, where the number of accesses to be carried on resource data 1 is 50+40+10 to 100, the number of accesses to be carried on resource data 2 is 30+20+5 to 55, and the number of accesses to be carried on resource data 3 is 20+20+5 to 45.
S308, judging whether target resource data exist in the plurality of resource data.
The target resource data are resource data with the access quantity larger than a second quantity threshold value in a preset time length, and when the target resource data exist in the plurality of resource data, the quantity of the target resource data is one or more; the preset duration and the second number threshold may be determined according to actual requirements, and the application is not limited. If so, executing S308; if the determination result is no, S309 is executed.
For example: the preset time duration is 20 milliseconds, the second number threshold is 80, and assuming that 200 resource access requests in S307 are all received within 20 milliseconds, according to the above statistical result, the number of the access amounts to be carried on the resource data 1 is 100, and is greater than the second number threshold 80, that is, the resource data 1 is determined to be the target resource data.
S309, inquiring a server set storing target resource data in the server cluster.
The load balancing device prestores or preconfigures resource deployment information of each server in the server cluster, the resource deployment information represents a mapping relation between server IDs and resource IDs, one server ID is mapped with a plurality of resource IDs, and according to the resource deployment information, which resource data are stored in the server can be known. And the load balancing device inquires the servers storing the target resource data according to the resource deployment information, and the inquired servers form a server set. The number of servers included in the server set is one or more. For example: 4 servers, namely, server 1, server 2, server 3, and server 4 are deployed in the server cluster, according to the example of S307, the target resource data is resource data 1, and the load balancing device determines, according to the pre-stored or pre-configured resource deployment information, that the target resource data is stored on server 1 and server 2, that is, the server set includes server 1 and server 2.
And S310, processing according to a default flow.
Wherein, the default flow comprises: the load balancing device receives a resource access request from the terminal equipment, analyzes a resource ID and a source IP address in the resource access request, queries a server where the resource ID is located, screens out a server closest to the terminal equipment according to the source IP address of the terminal equipment and geographical location information of the queried server, then forwards the resource access request to the closest server, and the server responds to the resource access request and returns resource data indicated by the resource ID to the terminal equipment.
S311, determining k resource access requests for accessing the target resource data in the m resource access requests.
The resource data to be accessed by the m resource access requests may be multiple, k resource access requests for accessing the target resource data are determined according to the resource IDs carried in the m resource access requests, and k is smaller than m and is an integer. For example: according to the example of S307, the target resource data is resource data 1, and the number of resource access requests to access the target resource data 1 is 100, that is, k is 100.
S312, uniformly forwarding the k resource access requests to each server in the server set.
The k resource access requests are uniformly forwarded to the servers in the server set, that is, the number of the resource access requests loaded on every other server is equal or approximately equal, so that a large number of resource access requests are prevented from being sent to the same server, and the load of the server is reduced.
For example: according to the example of S306, k is 100, the UE1 issues 50 resource access requests, the UE2 issues 40 resource access requests, the UE3 issues 10 resource access requests, the server set includes the server 1 and the server 2, and the server 1 and the server 2 uniformly carry the 50 resource access requests.
Further, uniformly forwarding each resource access request in the resource access set to each server in the server set includes:
determining a terminal equipment set which sends the k resource access requests and the number of the resource access requests sent by each terminal equipment in the terminal equipment set;
for each terminal device in the terminal device set, inquiring a server closest to the terminal device in the server set;
and uniformly forwarding the k resource access requests to each server in the server set according to the number of the resource access requests sent by each terminal device and the query result so as to reduce the response time of the servers.
For example: according to the example of S307, the terminal device set includes UE1, UE2, and UE3, the server set includes server 1 and server 2, and the query result is: the distance between UE1 and server 1 is closest, and the distance between UE2 and UE3 and server 2 is closest. The 50 resource access requests of the UE1 are forwarded to the server 1 for processing, and the 50 resource access requests of the UE2 and the UE3 are forwarded to the server 2 for processing.
Another example is: according to the example of S307, the set of terminal devices includes UE1, UE2, and UE3, and the set of servers includes server 1 and server 2. The query result is: the distance between UE1 and UE2 and server 1 is closest, and the distance between UE3 and server 2 is closest. In the case where the average of the resource access requests carried on each server is calculated to be 50, and all the resource access requests of the UE3 are sent to the server 2, the server 2 carries 10 resource access requests, and a difference of 40 is calculated, therefore, it is necessary to schedule 40 resource access requests to the server 2 from 50 resource access requests issued by the UE1 and 40 resource access requests issued by the UE2, respectively, the scheduling method is determined according to the ratio of the number of resource access requests issued by the UE1 and the UE2, the resource access requests are scheduled (5/9) 40 ≈ 22 from the UE1, the resource access requests are scheduled (4/9) 40 ≈ 18 from the UE2, thereby realizing that each terminal device sends most resource access requests to the server closest to the terminal device, meanwhile, the access amount borne by each server is equal, so that the response speed of the terminal equipment for accessing the resources is improved.
S313, the target resource data returned by each server in the server set are forwarded to the corresponding terminal equipment.
Further optionally, the load balancing device may compress the resource data from the server to reduce the data amount of the resource data, so as to reduce the time for transmitting the resource data in the network, and further improve the speed for acquiring the resource data by the terminal device. Compression algorithms include, but are not limited to, huffman coding, LZ77 algorithms, geometric coding algorithms, or the like.
Further optionally, when the resource data needs to be updated, the updating mode may be static updating or dynamic updating, and when the server cluster is in an idle state, the updated resource data is synchronized to each server in the server cluster, so that the terminal device can obtain the resource data from the closest server when accessing the resource data, and the speed of obtaining the resource data by the terminal device is increased.
Further optionally, in order to improve the Security of data transmission between the terminal device and the server and reduce the possibility of data leakage, a (Transport Layer Security protocol) or (Secure Sockets Layer) is used between the server and the terminal device to transmit data.
Further optionally, a TCP (Transmission Control Protocol) Protocol is used between the terminal device and the server to transmit data, and routing information is automatically adjusted in real time based on a Cubic algorithm, a Bic algorithm or a Westwood algorithm in the data Transmission process, so as to avoid network congestion, packet loss and offline problems. In addition, in order to solve the problem of Network delay caused by Network Address Translation (NAT) nesting, the present application may directly use the connection protocol of IPV6 to reduce the NAT delay problem.
In addition, to further increase the speed of loading the resource data by the terminal device, the terminal device may use one or more of the following methods to load the resource data and display the corresponding interface elements on the user interface according to the resource data.
The method comprises the following steps:
the terminal equipment loads the resource data by using segmented loading, and the segmented loading process comprises the following steps: when the size of the page to be displayed is larger than the display area of the terminal device, the scroll bar is arranged on the page, when the dragging operation on the scroll bar is detected, the terminal device loads the resource data in the display area firstly, and then loads the resource data outside the display area, namely, the resource data of the page is loaded in a segmented manner, so that the display of the interface elements in the display area can be accelerated, and the loading speed of the terminal device for loading the content in the display area is improved.
The second method comprises the following steps:
the terminal equipment loads the resource data by utilizing hidden loading, and the hidden loading process comprises the following steps: when the terminal equipment displays the resource data in the current display area, a thread is established in the background, the thread is used for loading the resource data which is not displayed temporarily and caching the resource data, and when the resource data needs to be displayed, the resource data is directly called to be displayed in the display area, so that the loading speed of the resource data is improved.
The third method comprises the following steps:
the terminal equipment loads the resource data by using a preloading technology, wherein the preloading process comprises the following steps: monitoring the parameter value of the load parameter of the terminal equipment, wherein the load parameter comprises: and when the terminal equipment is detected to have light load according to the parameter values of the load parameters, acquiring specified resource data from the server and caching the resource data, and when the resource data needs to be displayed, directly extracting the resource data from the cache, so that the loading speed of the resource data can be improved.
The method four comprises the following steps:
the terminal equipment loads the resource data by using the advanced loading, and the process of extracting the loading comprises the following steps: the method comprises the steps that terminal equipment collects operation habit information and historical access records of a user, then model training is carried out by utilizing a machine learning algorithm through the operation habit information and the historical access records to obtain a machine learning model, resource data which are possibly accessed by the user in a future time period are predicted through the machine learning model, the resource data are obtained from a server in advance and are cached, and when the resource data need to be displayed, the resource data are directly extracted from the cache, so that the loading speed of the resource data can be improved.
The above-described fig. 2 to 3 illustrate the method of accessing a resource in detail. Correspondingly, the structure of a device in the embodiment of the application is schematically shown.
Referring to fig. 4, fig. 4 is a schematic structural diagram of an apparatus 4 according to an embodiment of the present disclosure, where the apparatus 4 may include a transceiver 401, a determining unit 402, and a scheduling unit 403.
A transceiver unit 401, configured to receive m resource access requests from n terminal devices; wherein m and n are integers greater than 1, and each resource access request carries a source IP address and a resource ID;
a determining unit 402, configured to determine a target server in a server cluster if a target terminal device exists in the n terminal devices; the target terminal equipment is terminal equipment with the access quantity larger than a first quantity threshold value in a preset time length; the target server is a server with the optimal link quality with the target terminal equipment;
a scheduling unit 403, configured to determine resource data to be accessed according to resource IDs carried in multiple resource access requests from the target terminal device, and schedule the resource data to the target server;
the transceiver 401 is further configured to forward the multiple resource access requests to the target server;
the transceiver 401 is further configured to forward the resource data returned by the target server to the target terminal device.
In one possible design, the method further includes:
the shunting unit is used for determining a plurality of resource data to be accessed by the n terminal devices according to the resource IDs carried by the m resource access requests if the target terminal device does not exist in the n terminal devices;
judging whether target resource data exist in the plurality of resource data; the target resource data is resource data with preset duration that the access quantity is greater than a second quantity threshold;
if so, inquiring a server set storing the target resource data in the server cluster;
determining k resource access requests for accessing target resource data in the m resource access requests; wherein k is less than m and is an integer;
uniformly forwarding the k resource access requests to each server in the server set;
and forwarding the target resource data returned by each server in the server set to the corresponding terminal equipment.
In one possible design, the evenly forwarding the resource access requests in the resource access set to the servers in the server set includes:
determining a terminal equipment set which sends the k resource access requests and the number of the resource access requests sent by each terminal equipment in the terminal equipment set;
for each terminal device in the terminal device set, inquiring a server closest to the terminal device in the server set;
and uniformly forwarding the k resource access requests to each server in the server set according to the number of the resource access requests sent by each terminal device and the query result.
In one possible design, the determining a target server in a server cluster includes:
sending a test data packet to each server, and receiving a response data packet returned by each server in response to the test data packet;
calculating the round-trip time of each server based on the sending time of the test data packet and the receiving time of the response data packet;
taking the server with the minimum round trip time as a target server; or
Monitoring the parameter values of the load state parameters of each server;
taking the server with the lightest load state as a target server; or
Acquiring geographical position information of target terminal equipment and geographical position information of each server;
and taking the server closest to the target terminal equipment as a target server.
In one possible design, the obtaining address location information includes:
analyzing the geographical position information of the terminal equipment carried in the resource access request; or
And analyzing the resource access request to obtain a source IP address, and determining corresponding geographic position information according to the source IP address.
In one possible design, the method further includes:
and the compression unit is used for compressing the resource data from the server.
In one possible design, further comprising:
and the synchronization unit is used for synchronizing the updated resource data to each server of the server cluster when the server cluster is detected to be in an idle state.
The embodiment of the present application and the method embodiments of fig. 2 and 3 are based on the same concept, and the technical effects brought by the embodiment are also the same, and the specific process may refer to the description of the method embodiments of fig. 2 and 3, and will not be described again here.
The device 4 may be a load balancing device, and the device 4 may also be a field-programmable gate array (FPGA), an application-specific integrated chip (asic), a system on chip (SoC), a Central Processing Unit (CPU), a Network Processor (NP), a digital signal processing circuit, a Micro Controller Unit (MCU), or a Programmable Logic Device (PLD) or other integrated chips, which implement related functions.
Fig. 5 is a schematic structural diagram of an apparatus according to an embodiment of the present application, which is hereinafter referred to as an apparatus 5, where the apparatus 5 may be integrated into a load balancing apparatus, as shown in fig. 5, where the apparatus 5 includes: memory 502, processor 501, and transceiver 503.
The memory 502 may be a separate physical unit, which may be connected to the processor 501 and the transceiver 503 by a bus. The memory 502, the processor 501, the transceiver 503 may also be integrated, implemented in hardware, etc.
The memory 502 is used for storing a program for implementing the above method embodiment, or various modules of the apparatus embodiment, and the processor 501 calls the program to perform the operation of the above method embodiment.
Optionally, the device 5 further comprises an input device and an output device, the input device including but not limited to a keyboard, a mouse, a touch panel, a camera and a microphone; the output device includes, but is not limited to, a display screen.
Communication interfaces are used to send and receive various types of messages and include, but are not limited to, wireless interfaces or wired interfaces.
Alternatively, when part or all of the method for accessing resources of the above embodiments is implemented by software, the apparatus may also include only the processor. The memory for storing the program is located outside the device and the processor is connected to the memory by means of circuits/wires for reading and executing the program stored in the memory.
The processor may be a Central Processing Unit (CPU), a Network Processor (NP), or a combination of a CPU and an NP.
The processor may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a Programmable Logic Device (PLD), or a combination thereof. The PLD may be a Complex Programmable Logic Device (CPLD), a field-programmable gate array (FPGA), a General Array Logic (GAL), or any combination thereof.
The memory may include volatile memory (volatile memory), such as random-access memory (RAM); the memory may also include a non-volatile memory (non-volatile memory), such as a flash memory (flash memory), a Hard Disk Drive (HDD) or a solid-state drive (SSD); the memory may also comprise a combination of memories of the kind described above.
The embodiment of the application also provides a computer storage medium, which stores a computer program, and the computer program is used for executing the method for accessing the resource provided by the embodiment.
Embodiments of the present application further provide a computer program product containing instructions, which when run on a computer, cause the computer to execute the method for accessing resources provided by the above embodiments.
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.

Claims (10)

1. A method for accessing a resource, comprising:
receiving m resource access requests from n terminal devices; wherein m and n are integers greater than 1, and each resource access request carries a source IP address and a resource ID;
if the target terminal equipment exists in the n terminal equipment, determining a target server in a server cluster; the target terminal equipment is terminal equipment with the access quantity larger than a first quantity threshold value in a preset time length; the target server is a server with the optimal link quality with the target terminal equipment;
determining resource data to be accessed according to resource IDs carried in a plurality of resource access requests from the target terminal equipment, and scheduling the resource data to the target server;
forwarding the plurality of resource access requests to the target server;
and forwarding the resource data returned by the target server to the target terminal equipment.
2. The method of claim 1, further comprising:
if the target terminal equipment does not exist in the n terminal equipment, determining a plurality of resource data to be accessed by the n terminal equipment according to the resource ID carried by the m resource access requests;
judging whether target resource data exist in the plurality of resource data; the target resource data is resource data with preset duration that the access quantity is greater than a second quantity threshold;
if so, inquiring a server set storing the target resource data in the server cluster;
determining k resource access requests for accessing target resource data in the m resource access requests; wherein k is less than m and is an integer;
uniformly forwarding the k resource access requests to each server in the server set;
and forwarding the target resource data returned by each server in the server set to the corresponding terminal equipment.
3. The method of claim 2, wherein uniformly forwarding each resource access request in the resource access set to each server in the server set comprises:
determining a terminal equipment set which sends the k resource access requests and the number of the resource access requests sent by each terminal equipment in the terminal equipment set;
for each terminal device in the terminal device set, inquiring a server closest to the terminal device in the server set;
and uniformly forwarding the k resource access requests to each server in the server set according to the number of the resource access requests sent by each terminal device and the query result.
4. The method of claim 1, 2 or 3, wherein determining the target server in the server cluster comprises:
sending a test data packet to each server, and receiving a response data packet returned by each server in response to the test data packet;
calculating the round-trip time of each server based on the sending time of the test data packet and the receiving time of the response data packet;
taking the server with the minimum round trip time as a target server; or
Monitoring the parameter values of the load state parameters of each server;
taking the server with the lightest load state as a target server; or
Acquiring geographical position information of target terminal equipment and geographical position information of each server;
and taking the server closest to the target terminal equipment as a target server.
5. The method of claim 4, wherein the obtaining address location information comprises:
analyzing the geographical position information of the terminal equipment carried in the resource access request; or
And analyzing the resource access request to obtain a source IP address, and determining corresponding geographic position information according to the source IP address.
6. The method of claim 1, 2 or 5, further comprising:
and compressing the resource data from the server.
7. The method of claim 6, further comprising:
and synchronizing the updated resource data to each server of the server cluster when detecting that the server cluster is in an idle state.
8. An apparatus for accessing a resource, comprising:
a receiving and sending unit, which is used for receiving m resource access requests from n terminal devices; wherein m and n are integers greater than 1, and each resource access request carries a source IP address and a resource ID;
a determining unit, configured to determine a target server in the server cluster if a target terminal device exists in the n terminal devices; the target terminal equipment is terminal equipment with the access quantity larger than a first quantity threshold value in a preset time length; the target server is a server with the optimal link quality with the target terminal equipment;
the scheduling unit is used for determining resource data to be accessed according to resource IDs carried in a plurality of resource access requests from the target terminal equipment and scheduling the resource data to the target server;
the transceiver unit is further configured to forward the plurality of resource access requests to the target server;
the transceiver unit is further configured to forward the resource data returned by the target server to the target terminal device.
9. A computer storage medium, characterized in that it stores a plurality of instructions adapted to be loaded by a processor and to carry out the method steps according to any one of claims 1 to 7.
10. An electronic device, comprising: a processor and a memory; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the method steps of any of claims 1 to 7.
CN202111119050.8A 2021-09-24 2021-09-24 Method, device, storage medium and electronic equipment for accessing resources Pending CN113867946A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116579023A (en) * 2023-07-14 2023-08-11 武汉能钠智能装备技术股份有限公司四川省成都市分公司 Test system and method of signal acquisition processor

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116579023A (en) * 2023-07-14 2023-08-11 武汉能钠智能装备技术股份有限公司四川省成都市分公司 Test system and method of signal acquisition processor

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