CN112003957B

CN112003957B - Method, device, server and storage medium for scheduling access point

Info

Publication number: CN112003957B
Application number: CN202011169623.3A
Authority: CN
Inventors: 赵珺
Original assignee: Tencent Technology Shenzhen Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd
Priority date: 2020-10-28
Filing date: 2020-10-28
Publication date: 2021-02-26
Anticipated expiration: 2040-10-28
Also published as: CN112003957A; WO2022089321A1

Abstract

The application provides a method, a device, a server and a storage medium for scheduling access points. The method comprises the following steps: determining at least one quality index corresponding to at least one access point; and scheduling a target access point to be accessed by a target user based on the at least one quality index, wherein the at least one quality index is used for representing the access quality of a target type of the target user relative to the at least one access point respectively, and the at least one access point comprises the target access point. And scheduling the target access point to be accessed by the target user based on the at least one quality index, so that the end-to-end communication quality can be improved under the condition of reducing the scheduling complexity and the scheduling cost, and correspondingly, the user experience and the user satisfaction are improved.

Description

Method, device, server and storage medium for scheduling access point

Technical Field

The embodiments of the present application relate to the field of networks, and in particular, to a method, an apparatus, a server, and a storage medium for scheduling an access point.

Background

The internet streaming service (OTT) is a streaming service provided directly to viewers through The internet. In other words, OTT provides various application services to users through the internet, and, unlike communication services provided by carriers, OTT only utilizes the carriers' networks, while technologies and services are provided by third parties. Such as an internet vendor. For example, cloud conference products provided by internet vendors.

OTT has loose requirements on terminal, network conditions, places and the like required when the user accesses the network, and can provide more convenient online conference experience. But relatively, how to guarantee the communication quality is also a technical problem which needs to be solved urgently in the field.

In the related art, the access point can be used for converting public network data transmission into private line data transmission so as to reduce data delay and packet loss, and further ensure the signal transmission quality of the user side as much as possible. However, access points can only be established in limited cities, considering the cost and the distribution of the operator's computer room infrastructure. Based on this, the distribution center needs to schedule a proper access point for the user according to a certain scheduling policy, and the distribution policy of the access point will directly affect the end-to-end service quality.

By now it is common to schedule the access point closest to the user that needs to be served.

However, the closest access point cannot satisfy the end-to-end quality of service.

Disclosure of Invention

The method, the device, the server and the storage medium for scheduling the access point are provided, so that the end-to-end communication quality can be improved under the condition of reducing the scheduling complexity and the scheduling cost, and the user experience and the user satisfaction are correspondingly improved.

In a first aspect, a method for scheduling an access point is provided, including:

determining at least one quality index corresponding to at least one access point;

and scheduling a target access point to be accessed by a target user based on the at least one quality index, wherein the at least one quality index is used for representing the access quality of a target type of the target user relative to the at least one access point respectively, and the at least one access point comprises the target access point.

By constructing the at least one quality indicator as an access quality of a target type of user with respect to the at least one access point; equivalently, the access quality of the at least one access point is quantified by taking the type of the user as granularity, so that the access quality of each user relative to the at least one access point is quantified by taking the user as granularity; on one hand, the division granularity of the at least one quality index can be simplified to reduce the scheduling complexity and the scheduling cost, and enough reference information can be provided for the quality index to improve the accuracy of the at least one quality index, so that the end-to-end communication quality is improved, and correspondingly, the user experience and the user satisfaction can be improved; on the other hand, because the network environment formed by the target type user or the user environment of the target user is complex and changeable, the complex and changeable attributes of the network environment or the user environment can be reflected in real time through at least one quality index corresponding to the target type user, so that the end-to-end communication quality is further improved, and correspondingly, the user experience and the user satisfaction are further improved.

In summary, scheduling the target access point to which the target user is to access based on the at least one quality index can improve the end-to-end communication quality and correspondingly improve the user experience and the user satisfaction under the condition of reducing the scheduling complexity and the scheduling cost.

Especially, aiming at high-flow scenes such as audio and video communication and the like, the end-to-end communication quality can be improved under the condition of reducing the scheduling complexity and the scheduling cost, and correspondingly, the user experience and the user satisfaction are improved.

In some possible implementations, the target type includes a target region or a target operator.

In some possible implementations, the target region includes a region divided by country, province, or city.

In some possible implementations, the determining at least one quality indicator corresponding to each of the at least one access point includes:

determining the target type;

determining the at least one quality indicator based on the target type and the mapping relationship information; the mapping relation information includes quality indexes of at least one class of users relative to the at least one access point, and the at least one class of users includes the target user.

In some possible implementation manners, the mapping relationship information is a quality indicator matrix, a same row in the quality indicator matrix is used to represent quality indicators of a same type of users in the at least one type of users respectively relative to the at least one access point, and a same column in the quality indicator matrix is used to represent quality indicators of a same type of access point in the at least one access point respectively relative to the at least one type of users.

In some possible implementations, the method further includes:

and establishing or updating the mapping relation information.

In some possible implementations, the determining the target type includes:

receiving a request message, wherein the request message is used for requesting to schedule an access point for the target user;

the target type is determined based on the access information in the request message.

sending a query message, the query message requesting to query the at least one quality indicator;

receiving a response message to the query message, the response message to the query message including the at least one quality indicator.

In some possible implementations, each of the at least one quality indicator is an indicator determined based on at least one type of quality indicator.

Each quality index in the at least one quality index is constructed into an index determined based on at least one type of quality index, so that the access quality of the access point is prevented from being quantized by adopting a single index, sufficient reference information can be provided for the at least one quality index, and correspondingly, the end-to-end communication quality can be further improved.

In addition, because the preferences of different users for different types of quality indexes may be different, by interacting with the users and introducing the factors of the user preferences, customized quality indexes can be provided for each user, and the user satisfaction and user experience can be ensured.

In some possible implementations, each of the at least one quality indicator is a quality indicator determined according to the following formula:

；

wherein,Q _jrepresents the second of the at least one quality indicatorjThe quality index of each of the plurality of quality indexes,X _irepresenting the first of said at least one class of quality indicatorsiThe class quality index is a measure of the quality of the sample,x _irepresenting the first of said at least one class of quality indicatorsiAnd the weight corresponding to the class quality index.

In some possible implementations, the at least one type of quality indicator includes a voice quality indicator or a video quality indicator.

In some possible implementations, the at least one type of quality indicator includes at least one of:

tone quality, voice stuck, video definition, video stuck, end-to-end delay or quality of service QoS.

In some possible implementations, the at least one quality indicator is a plurality of quality indicators; wherein the scheduling a target access point to be accessed by a target user based on the at least one quality index comprises:

and determining the access point corresponding to at least one high-quality index in the plurality of quality indexes as the target access point.

In some possible implementations, the at least one access point is a plurality of access points, and the target access point serves a greater number of users than other access points including access points of the plurality other than the target access point.

The number of users served by the target access point is configured to be larger than the number of users served by other access points, which is equivalent to that, under the condition that most of the users of the target type are served by the target access point, a small number of the users of the target type are also served by the other access points, so that the at least one quality index has learning capability, the at least one quality index can adapt to the complex and changeable attributes of the user environment or the network environment, and correspondingly, the end-to-end communication quality can be further improved.

In a second aspect, a method for scheduling access points is provided, including:

receiving an inquiry message, wherein the inquiry message is used for requesting to inquire at least one quality index, and the at least one quality index is used for representing the access quality of a target type of a target user relative to at least one access point respectively;

sending a response message to the query message, the response message to the query message including the at least one quality indicator.

In some possible implementations, the method further includes:

the at least one quality indicator is determined.

determining the target type;

In some possible implementations, the method further includes:

and establishing or updating the mapping relation information.

In a third aspect, an apparatus for scheduling an access point is provided, including:

a determining unit, configured to determine at least one quality indicator corresponding to each of the at least one access point;

and the scheduling unit is used for scheduling a target access point to be accessed by a target user based on the at least one quality index, the at least one quality index is used for representing the access quality of a target type of the target user relative to the at least one access point, and the at least one access point comprises the target access point.

In a fourth aspect, an apparatus for scheduling access points is provided, including:

a receiving unit, configured to receive an inquiry message, where the inquiry message is used to request to inquire at least one quality index, and the at least one quality index is used to characterize access quality of a target type of a target user with respect to at least one access point;

a sending unit, configured to send a response message of the query message, where the response message of the query message includes the at least one quality indicator.

In a fifth aspect, a server is provided that includes a processor and a memory. The memory is used for storing a computer program, and the processor is used for calling and running the computer program stored in the memory to execute the method of the first aspect or each implementation manner thereof.

In a sixth aspect, a server is provided that includes a processor and a memory. The memory is used for storing a computer program, and the processor is used for calling and running the computer program stored in the memory to execute the method of the second aspect or each implementation mode thereof.

In a seventh aspect, a computer-readable storage medium is provided for storing a computer program, which causes a computer to execute the method of any one of the first to second aspects or implementations thereof.

In an eighth aspect, there is provided a computer program product comprising computer program instructions to cause a computer to perform the method of any one of the first to second aspects or implementations thereof.

In a ninth aspect, there is provided a computer program which, when run on a computer, causes the computer to perform the method of any one of the first to second aspects or implementations thereof.

Drawings

Fig. 1 and fig. 2 are each another schematic block diagram of a system framework provided by an embodiment of the present application.

Fig. 3 and fig. 4 are schematic flow charts of methods for scheduling an access point according to embodiments of the present application.

Fig. 5 and fig. 6 are schematic block diagrams of an apparatus for scheduling an access point according to an embodiment of the present application.

Fig. 7 is a schematic block diagram of a server provided in an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be described below with reference to the accompanying drawings.

Fig. 1 is a schematic block diagram of a system framework 100 provided by an embodiment of the present application.

As shown in FIG. 1, the system framework 100 may include the Internet 110, servers 121-125, and users 131-135. The Internet 110 may provide various application services to the users 131-135 through the servers 121-125. The internet 110 may include servers provided by internet vendors. The servers 121-125 can be servers of various operators. For example, cloud conference products provided by internet vendors. The Internet 110 can provide products such as cloud conference to the users 131-135 through the servers 121-125. For example, the Internet 110 may provide various application services to the user 131 through the servers 121-123. As another example, internet 110 may provide various application services to user 132 through server 123. As another example, Internet 110 may provide various application services to users 133 through servers 123-124. As another example, Internet 110 may provide various application services to user 134 through server 124. As another example, the Internet 110 may provide various application services to the user 135 through the server 125.

For example, the Internet 110 may provide audiovisual conferencing services to the users 131-135 via the servers 121-125. In other words, it can be understood as an online multi-person conversation activity carried by multimedia data such as voice, video, etc. via the internet 110 facility.

It should be understood that fig. 1 is only an example of the present application and should not be construed as limiting the present application.

For example, in some embodiments of the present application, the system framework 100 may further include a plurality of aps, based on which the users 131 to 135 may access corresponding servers of the servers 121 to 125 by using the aps to convert the public network data transmission into the private line data transmission, thereby reducing the data delay and the packet loss, and further ensuring the signal transmission quality of the user side as much as possible. For example, the access point may be the first traffic server to which the user is connected. However, access points can only be established in limited cities, considering the cost and the distribution of the operator's computer room infrastructure. Based on this, the distribution center needs to schedule a proper access point for the user according to a certain scheduling policy, and the distribution policy of the access point will directly affect the end-to-end service quality.

It should be noted that the servers 121 to 125 related in this embodiment may be independent physical servers, may also be a server cluster or a distributed system formed by a plurality of physical servers, and may also be cloud servers providing cloud computing services. The users 131 to 135 may correspond to at least one terminal, and the terminal may be a smart phone, a tablet computer, a notebook computer, a desktop computer, a smart speaker, a smart watch, or the like, but is not limited thereto. The terminal and the server may be directly or indirectly connected through wired or wireless communication, and the application is not limited herein. The terminal logical balance can be understood as a device used by a user side (natural person or meeting room), and the physical form is embodied in the forms of a PC, a mobile device, intelligent hardware and the like.

Fig. 2 is a schematic block diagram of a system framework 200 provided by an embodiment of the present application. System framework 200 may also be referred to as an access point scheduling system.

As shown in fig. 2, the system framework 200 may include: client 210, distribution server 220, statistics server 230, and database 240. It should be noted that the functions of the statistics server 230 or the functions of the database 240 may be incorporated into the distribution server 220.

The Client (Client) 210 may also be referred to as a Workstation (Workstation), among others. For example, a computer connected to a network may control and manage clients 210 through a web server so that clients 210 can share various resources on the network. For example, the web server can be the servers 121-125 shown in FIG. 1.

The distribution server 220 may be integrated with any one of the apparatuses for scheduling access points provided in the embodiments of the present application, and is configured to perform the method for scheduling access points provided in the embodiments of the present application. For example, the allocation server 220 may be configured to collect indexes, used for characterizing access quality, of all access points in a preset set by the mobile terminal, determine an optimal access point list according to the indexes for characterizing access quality, and then schedule the access points of the mobile terminal based on the optimal access point list.

In addition, the client 210 may schedule a target access point to be accessed through the distribution server 220. For example, a request message may be sent to the distribution server 220, where the request message carries the IP address of the client 210, and then the distribution server 220 queries the optimal access point list according to the IP address of the client 210 to obtain an optimal scheduling access point, and schedules the access point of the client 210 based on the optimal scheduling access point, that is, the client 210 may access a network server through the optimal scheduling access point, such as sending an access request to the network server, and the like. It should be understood that the assignment server 220 schedules access points for the clients 210, and it may also be understood that the assignment server 220 schedules access points for users.

The Database (Database) 240 may be regarded as an electronic file cabinet as a place for storing electronic files, and a user may add, query, update, delete, etc. data in the files. The database 240 may include data sets that are stored together in a manner that can be shared with multiple users, have as little redundancy as possible, and are independent of the application.

The Database (Database) 240 may also be understood as a Database Management System (DBMS). The DBMS may be understood as a computer software system designed for managing a database, and generally has basic functions of storage, interception, security assurance, backup, and the like. The database management system may be categorized according to the database model it supports, such as relational, Extensible Markup Language (XML); or classified according to the type of computer supported, e.g., server cluster, mobile phone; or classified according to the Query Language used, such as Structured Query Language (SQL), XQuery; or by performance impulse emphasis, e.g., maximum size, maximum operating speed; or other classification schemes. Regardless of the manner of classification used, some DBMSs are capable of supporting multiple query languages across categories, for example, simultaneously.

Of course, the information sent by the client 210 may also be stored in the database 210 in a cloud storage manner.

A distributed cloud storage system (hereinafter, referred to as a storage system) refers to a storage system that integrates a large number of storage devices (storage devices are also referred to as storage nodes) of different types in a network through application software or application interfaces to cooperatively work by using functions such as cluster application, grid technology, and a distributed storage file system, and provides a data storage function and a service access function to the outside.

For example, the storage method of the storage system is as follows: logical volumes are created, and when created, each logical volume is allocated physical storage space, which may be the disk composition of a certain storage device or of several storage devices. The client stores data on a certain logical volume, that is, the data is stored on a file system, the file system divides the data into a plurality of parts, each part is an object, the object not only contains the data but also contains additional information such as data identification (ID, ID entry), the file system writes each object into a physical storage space of the logical volume, and the file system records storage location information of each object, so that when the client requests to access the data, the file system can allow the client to access the data according to the storage location information of each object.

The process of allocating physical storage space for the logical volume by the storage system specifically includes: physical storage space is divided in advance into stripes according to a group of capacity measures of objects stored in a logical volume (the measures often have a large margin with respect to the capacity of the actual objects to be stored) and Redundant Array of Independent Disks (RAID), and one logical volume can be understood as one stripe, thereby allocating physical storage space to the logical volume.

In some embodiments of the present application, the statistics server 230 may be configured to obtain the statistics data from the database 240 and process the statistics data, and the processed result of the statistics data may be used to assist the distribution server 220 in scheduling the access point of the client 210.

The statistics server 230 may be a physical server capable of performing calculation processing, or may be a cloud device capable of performing calculation processing.

For example, the distribution server 220 may have a device with a cloud computing (cloud computing) function, which is a computing model that can distribute computing tasks over a resource pool of a large number of computers, enabling various application systems to acquire computing power, storage space, and information services as needed. The network providing the resources may be referred to as a "cloud". Resources in the "cloud" appear to the user as being infinitely expandable and available at any time, available on demand, expandable at any time, and paid for on-demand. A cloud computing resource pool, which may also be referred to as an Infrastructure as a Service (IaaS) platform, may be established by an Infrastructure capability provider of cloud computing. Multiple types of virtual resources can be deployed in the cloud computing resource pool and used by external customers selectively. In other words, the cloud computing resource pool may include: computing devices, storage devices, network devices. Alternatively, the computing devices in the cloud computing resource pool may be virtualized devices, which may include operating system virtualization devices, for example.

In addition, according to the logic function division, a Platform as a Service (PaaS) layer may be deployed on the IaaS layer, a Software as a Service (SaaS) layer may be deployed on the PaaS layer, or the SaaS may be directly deployed on the IaaS layer. PaaS is a platform on which software runs, such as a database, a web container, etc. SaaS is a variety of business software, such as web portal, sms, and mass texting. Generally speaking, SaaS and PaaS are upper layers relative to IaaS.

In addition, the statistics server 230 may also obtain the result of the statistics data by means of Big data (Big data).

Big data can be understood as a data set which cannot be captured, managed and processed by a conventional software tool within a certain time range, and is a massive, high-growth-rate and diversified information asset which needs a new processing mode to have stronger decision-making power, insight discovery power and process optimization capability. With the advent of the cloud era, big data has attracted more and more attention, and the big data needs special technology to effectively process a large amount of data within a tolerance elapsed time. The method is suitable for the technology of big data, and comprises a large-scale parallel processing database, data mining, a distributed file system, a distributed database, a cloud computing platform, the Internet and an extensible storage system.

Fig. 3 is a schematic block diagram of a method 300 for scheduling an access point according to an embodiment of the present application. The method 400 may be performed by a distribution server. Such as distribution server 220 shown in fig. 2.

As shown in fig. 3, the method 300 may include:

s310, determining at least one quality index corresponding to at least one access point;

s320, scheduling a target access point to be accessed by a target user based on the at least one quality index, wherein the at least one quality index is used for representing the access quality of the target type of the target user relative to the at least one access point, and the at least one access point comprises the target access point. Optionally, the at least one quality indicator may be at least one quality indicator value. Optionally, the at least one quality indicator belongs to the same type of indicator.

For example, the allocation server determines a target type of user and determines an access point corresponding to the target type of user as the at least one access point to obtain at least one quality indicator corresponding to the at least one access point, and then may determine the target access point based on the at least one quality indicator. For example, the distribution server may determine an optimal access point list based on the at least one quality indicator, and may then schedule an access point for a target user based on the optimal access point list.

For example, the distribution server may perform statistics on the access indicators of the users of the target type with respect to the at least one access point respectively, in a period (hour or day) to generate the at least one quality indicator.

In some embodiments of the present application, the target type includes a target region or a target operator.

For example, the distribution server may perform summary statistics on access indexes of the users of the target type with respect to the at least one access point according to several dimensionalities of country, province, city, and operator to generate the at least one quality index.

In some embodiments of the present application, the target region includes a region divided by country, province, or city.

The at least one quality indicator is exemplified below in connection with table 1.

TABLE 1

Users of at least one access point target type	First access point	Second access point	Third access point
				Users in a first region	a1	b1	c1
Users in the second area	a2	b2	c2
				Users of a first operator	a3		c3
Users of the second operator	a4	b4

As shown in table 1, at least one quality indicator corresponding to at least one access point may be quantized with the target type of user as granularity. For example, the access qualities of the users in the first region with respect to the first access point, the second access point, and the third access point are a1, b2, and c1, respectively. Of course, different types of users may also correspond to different access points. For example, the access quality of the user of the first operator with respect to the first access point and the third access point is a3 and c 3. As another example, the access quality of the user of the second operator with respect to the first access point and the second access point is a4 and b 4.

In some embodiments of the present application, the S310 may include:

determining the target type;

For example, the allocation server may determine the target type based on the IP address of the target user, and then determine the at least one quality indicator based on the type of the target type and the mapping relationship information. It should be understood that the IP address of the target user may also be understood as the IP address of the client 210 as shown in fig. 2.

In some embodiments of the present application, the distribution server receives a request message, where the request message is used to request that an access point be scheduled for the target user; the distribution server may then determine the target type based on the access information in the request message. As an example, the distribution server may receive the request message sent by client 210 as shown in FIG. 1. For example, the access information may include an IP address of the target user, such that the assignment server may determine the target type based on the IP address of the target user.

Of course, the mapping relationship information may be information generated based on feedback information of the respective users. The feedback information may comprise an indicator for feeding back the access quality of the access point serving the user, or the feedback information may comprise an indicator for feeding back the end-to-end communication quality.

It should also be understood that the embodiment of the present application does not limit the specific implementation manner of the mapping relationship information, for example, the mapping relationship information may be in a form of a table, and may also be in other forms.

For example, the mapping relationship information is a quality indicator matrix, a same row in the quality indicator matrix is used to represent quality indicators of a same type of users in the at least one type of users respectively relative to the at least one access point, and a same column in the quality indicator matrix is used to represent quality indicators of a same type of access point in the at least one access point respectively relative to the at least one type of users.

In some embodiments of the present application, the method 300 may further comprise:

and establishing or updating the mapping relation information.

For example, the distribution server establishes or updates the mapping relationship information and determines the at least one quality indicator based on the established or updated mapping relationship information.

In some embodiments of the present application, the S310 may include:

For example, the distribution server sends the query message to the statistics server, and receives a response message of the query message sent by the statistics server.

In other words, the statistics server may determine the at least one quality indicator based on the query message and the mapping relationship information. It should be noted that, the implementation manner of determining the at least one quality indicator by the statistics server may refer to the implementation manner of determining the at least one quality indicator by the allocation server, and is not described herein again to avoid repetition.

For example, the statistics server receives the query message, determines the target type based on the access information in the query message, then determines at least one quality indicator corresponding to the at least one access point and the at least one access point respectively based on the target type and the mapping relationship information, and then sends a response message of the query message. Based on this, the statistical server can also be used to establish or update the mapping relationship information.

In some embodiments of the present application, each of the at least one quality indicator is an indicator determined based on at least one type of quality indicator.

In other words, each of the at least one quality indicator may be an indicator determined based on at least one type of quality indicator. For example, the at least one type of quality indicator may be one or more types of quality indicators of the target type of user feedback.

In some embodiments of the present application, each of the at least one quality indicator is a quality indicator determined according to the following formula:

；

wherein,Q _jrepresents the second of the at least one quality indicatorjThe quality index of each of the plurality of quality indexes,X _irepresents the first of the at least one class of quality indicatorsiThe class quality index is a measure of the quality of the sample,x _irepresents the first of the at least one class of quality indicatorsiAnd the weight corresponding to the class quality index.

Of course, determining each of the at least one quality indicator by the weight of each of the at least one quality indicator is only an example, and the present application is not limited thereto. For example, in other alternative embodiments, each of the at least one quality indicator may be determined by a maximum or minimum value, or the like.

In some embodiments of the present application, the at least one type of quality indicator comprises at least one of: voice Quality, voice stuck, video sharpness, video stuck, end-to-end delay or Quality of service (QoS).

Of course, in other alternative embodiments, other metrics may also be included. Such as echo, echo or howling.

The meaning of each index is exemplified below.

Tone quality: the degree of recognition of the voice on the sense of hearing may be, for example, a degree of recognition on the sense of hearing close to that of the voice when it is propagated in the air.

The voice is clamped: the phenomena of word loss, acceleration and deceleration and other listening senses caused by signal loss in the voice signal processing process.

Video blocking: the phenomenon of video picture discontinuity which can be perceived by vision is caused by links such as coding, transmission, decoding and the like.

Echo: are repetitions caused by reflections of sound waves. For example, echo phenomena may be introduced by microphones and loudspeakers due to air creating feedback paths.

Echo leakage: after echo cancellation algorithm, residual echo sound.

Howling: the self-excitation phenomenon of energy is caused by the problems of too close distance and the like between a sound source and public address equipment.

Definition: the visual perception of a picture, such as resolution, is affected by factors such as coding parameters.

In some embodiments of the present application, the at least one type of quality indicator comprises a voice quality indicator or a video quality indicator.

For example, among the above-mentioned indexes, an echo, a howling, a sound quality, or a voice stuck may be used as the voice quality index, and an index of sharpness, brightness, contrast, color saturation, or video stuck may be used as the video quality index.

Based on this, each quality indicator of the at least one quality indicator may be a quality indicator determined according to the following formula based on the voice quality indicator and the video quality indicator:

。

wherein,Q _jrepresents the second of the at least one quality indicatorjThe quality index of each of the plurality of quality indexes,A _iindicating the quality index of the ith class in the voice index,a _iindicates the second in the voice indexiThe weight corresponding to the class quality index,V _iindicates the second in the video indexiThe class quality index is a measure of the quality of the sample,v _iindicates the second in the video indexiAnd the weight corresponding to the class quality index.

In some embodiments of the present application, the at least one quality indicator is a plurality of quality indicators; wherein, the S320 may include:

For example, the distribution server may determine the target access point from the access points corresponding to one or more of the quality indicators with the highest value.

In some embodiments of the present application, the at least one access point is a plurality of access points, and the number of users served by the target access point is greater than the number of users served by other access points, including access points other than the target access point, of the plurality of access points.

In other words, the target access point may serve a majority of users and a minority of other users through the other access points.

In the embodiment of the present application, the mapping relationship information may be information generated by a statistics server, or may be information generated by a distribution server, and the present application is not particularly limited to this. If the mapping relationship information is generated by the statistics server, the distribution server needs to query the mapping relationship information from the statistics server, or the distribution server needs to query the at least one access point and at least one quality index corresponding to the at least one access point from the statistics server.

The following describes, with reference to fig. 4, a method for scheduling an access point provided by the present application, by taking an example that a distribution server queries, from a statistics server, at least one quality index corresponding to each of the at least one access point and the at least one access point.

Fig. 4 is a schematic flow chart of a method 400 for scheduling an access point according to an embodiment of the present application. The method 400 may be performed interactively by a client, a distribution server, and a statistics server. The client shown in fig. 4 may be the client 210 shown in fig. 2. The distribution server of fig. 4 may be the distribution server 220 shown in fig. 2, and the statistics server shown in fig. 4 may be the statistics server 230 shown in fig. 2.

As shown in fig. 4, the method 400 may include some or all of the following:

s410, the client sends a request message to the distribution server, where the request message includes access information.

S420, the distribution server sends a query message to the statistical server, wherein the query message comprises the access information.

S430, the statistical server determines at least one quality index corresponding to at least one access point and the at least one access point respectively based on the query message and the quality index matrix.

S440, the statistics server sends a response message of the query message to the distribution server, including the at least one quality indicator.

S450, the distribution server determines a target access point among the at least one access point based on the at least one quality indicator.

S460, the distribution server sends a response message of the request message to the client, where the response message of the request message includes the target access point.

S470, the statistical server updates the quality index matrix.

It should be understood that the steps in the method 400 may refer to corresponding steps in the method 300, and are not described herein again for brevity.

The preferred embodiments of the present application have been described in detail with reference to the accompanying drawings, however, the present application is not limited to the details of the above embodiments, and various simple modifications can be made to the technical solution of the present application within the technical idea of the present application, and these simple modifications are all within the protection scope of the present application. For example, the various features described in the foregoing detailed description may be combined in any suitable manner without contradiction, and various combinations that may be possible are not described in this application in order to avoid unnecessary repetition. For example, various embodiments of the present application may be arbitrarily combined with each other, and the same should be considered as the disclosure of the present application as long as the concept of the present application is not violated.

It should also be understood that, in the various method embodiments of the present application, the sequence numbers of the above-mentioned processes do not imply an execution sequence, and the execution sequence of the processes should be determined by their functions and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

Method embodiments of the present application are described in detail above in conjunction with fig. 1-4, and apparatus embodiments of the present application are described in detail below in conjunction with fig. 5-6.

Fig. 5 is a schematic block diagram of an apparatus 500 for predicting a traffic accident according to an embodiment of the present disclosure.

As shown in fig. 5, the apparatus 500 may include:

a determining unit 510, configured to determine at least one quality indicator corresponding to each of the at least one access point;

a scheduling unit 520, configured to schedule a target access point to be accessed by a target user based on the at least one quality indicator, where the at least one quality indicator is used to characterize access qualities of target types of the target user with respect to the at least one access point, respectively, and the at least one access point includes the target access point.

In some embodiments of the present application, the determining unit 510 is specifically configured to:

determining the target type;

In some embodiments of the present application, the mapping relationship information is a quality indicator matrix, a same row in the quality indicator matrix is used to represent quality indicators of a same type of users in the at least one type of users respectively relative to the at least one access point, and a same column in the quality indicator matrix is used to represent quality indicators of a same type of access point in the at least one access point respectively relative to the at least one type of users.

In some embodiments of the present application, the determining unit 510 is further configured to:

and establishing or updating the mapping relation information.

；

In some embodiments of the present application, the at least one type of quality indicator comprises at least one of: tone quality, voice stuck, video definition, video stuck, end-to-end delay or quality of service QoS.

In some embodiments of the present application, the at least one quality indicator is a plurality of quality indicators; the scheduling unit 520 is specifically configured to:

It is to be understood that apparatus embodiments and method embodiments may correspond to one another and that similar descriptions may refer to method embodiments. To avoid repetition, further description is omitted here. Specifically, the apparatus 500 shown in fig. 5 may correspond to a corresponding main body for performing the

method

300 or 400 of the embodiment of the present application, and the foregoing and other operations and/or functions of the respective modules in the apparatus 500 are respectively for implementing the corresponding flows in the respective methods in fig. 3 or fig. 4, and are not repeated herein for brevity.

Fig. 6 is a schematic block diagram of an apparatus 600 for predicting a traffic accident according to an embodiment of the present disclosure.

As shown in fig. 6, the apparatus 600 may include:

a receiving unit 610, configured to receive an inquiry message, where the inquiry message is used to request to inquire at least one quality indicator, and the at least one quality indicator is used to characterize access quality of a target type of a target user with respect to at least one access point respectively;

a sending unit 620, configured to send a response message of the query message, where the response message of the query message includes the at least one quality indicator.

In some embodiments of the present application, the apparatus 600 may comprise:

a determining unit for determining the at least one quality indicator.

In some embodiments of the present application, the determining unit is specifically configured to:

determining the target type;

In some possible implementations, the determining unit is further configured to:

and establishing or updating the mapping relation information.

It is to be understood that apparatus embodiments and method embodiments may correspond to one another and that similar descriptions may refer to method embodiments. To avoid repetition, further description is omitted here. Specifically, the apparatus 600 shown in fig. 6 may correspond to a corresponding main body in executing the method 400 of the embodiment of the present application, and the foregoing and other operations and/or functions of the respective modules in the apparatus 600 are respectively for implementing the corresponding flows in the respective methods in fig. 4, and are not described herein again for brevity.

The apparatus 500 of the embodiments of the present application is described above in connection with the drawings from the perspective of functional modules. It should be understood that the functional modules may be implemented by hardware, by instructions in software, or by a combination of hardware and software modules. Specifically, the steps of the method embodiments in the present application may be implemented by integrated logic circuits of hardware in a processor and/or instructions in the form of software, and the steps of the method disclosed in conjunction with the embodiments in the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. Alternatively, the software modules may be located in random access memory, flash memory, read only memory, programmable read only memory, electrically erasable programmable memory, registers, and the like, as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps in the above method embodiments in combination with hardware thereof.

Fig. 7 is a schematic block diagram of a server 700 provided in an embodiment of the present application.

As shown in fig. 7, the server 700 may include:

a memory 710 and a processor 720, the memory 710 being configured to store a computer program 711 and to transmit the program code 711 to the processor 720. In other words, the processor 720 may call and run the computer program 711 from the memory 710 to implement the method in the embodiment of the present application.

For example, the processor 720 may be configured to perform the steps of the

methods

300 or 400 described above according to instructions in the computer program 711.

In some embodiments of the present application, the processor 720 may include, but is not limited to:

general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, and the like.

In some embodiments of the present application, the memory 710 includes, but is not limited to:

volatile memory and/or non-volatile memory. The non-volatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of example, but not limitation, many forms of RAM are available, such as Static random access memory (Static RAM, SRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic random access memory (Synchronous DRAM, SDRAM), Double Data Rate Synchronous Dynamic random access memory (DDR SDRAM), Enhanced Synchronous SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), and Direct Rambus RAM (DR RAM).

In some embodiments of the present application, the computer program 711 may be divided into one or more modules, which are stored in the memory 710 and executed by the processor 720 to perform the method of recording pages provided herein. The one or more modules may be a series of computer program instruction segments capable of performing certain functions, which are used to describe the execution of the computer program 711 in the server 700.

As shown in fig. 7, the server 700 may further include:

a transceiver 730, the transceiver 730 being connectable to the processor 720 or the memory 710.

The processor 720 may control the transceiver 730 to communicate with other devices, and specifically, may transmit information or data to the other devices or receive information or data transmitted by the other devices. The transceiver 730 may include a transmitter and a receiver. The transceiver 730 may further include an antenna, and the number of antennas may be one or more.

It should be understood that the various components in the server 700 are connected by a bus system that includes a power bus, a control bus, and a status signal bus in addition to a data bus.

The present application also provides a computer storage medium having stored thereon a computer program which, when executed by a computer, enables the computer to perform the method of the above-described method embodiments. In other words, the present application also provides a computer program product containing instructions, which when executed by a computer, cause the computer to execute the method of the above method embodiments.

When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions described in accordance with the embodiments of the present application occur, in whole or in part, when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a Digital Video Disk (DVD)), or a semiconductor medium (e.g., a Solid State Disk (SSD)), among others.

Those of ordinary skill in the art will appreciate that the various illustrative modules and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the module is merely a logical division, and other divisions may be realized in practice, for example, a plurality of modules or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.

Modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. For example, functional modules in the embodiments of the present application may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module.

The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A method of scheduling access points, comprising:

scheduling target access points to be accessed by target users based on the at least one quality index, wherein the at least one quality index is used for representing the access quality of target types of the target users relative to the at least one access point respectively, and the at least one access point comprises the target access point;

the at least one access point is a plurality of access points, the number of users of the target type served by the target access point is greater than the number of users of the target type served by other access points, the number of users of the target type served by the other access points is not 0, and the other access points include access points other than the target access point in the plurality of access points.

2. The method of claim 1, wherein the target type comprises a target region or a target operator.

3. The method according to claim 1 or 2, wherein the determining at least one quality indicator corresponding to each of the at least one access point comprises:

determining the target type;

determining the at least one quality indicator based on the target type and mapping relationship information; the mapping relation information comprises quality indexes of at least one class of users relative to the at least one access point respectively, and the at least one class of users comprise the target users.

4. The method according to claim 3, wherein the mapping relationship information is a quality indicator matrix, a same row in the quality indicator matrix is used for representing quality indicators of a same user of the at least one user class respectively relative to the at least one access point, and a same column in the quality indicator matrix is used for representing quality indicators of a same access point of the at least one access point respectively relative to the at least one user class.

5. The method of claim 3, further comprising:

and establishing or updating the mapping relation information.

6. The method of claim 3, wherein the determining the target type comprises:

determining the target type based on the access information in the request message.

7. The method according to claim 1 or 2, wherein the determining at least one quality indicator corresponding to each of the at least one access point comprises:

sending a query message, wherein the query message is used for requesting to query the at least one quality index;

8. The method according to claim 1 or 2, wherein each quality indicator of the at least one quality indicator is an indicator determined on the basis of at least one type of quality indicator.

9. The method of claim 8, wherein each of the at least one quality indicator is a quality indicator determined according to the following formula:

；

10. The method of claim 8, wherein the at least one type of quality indicator comprises a voice quality indicator or a video quality indicator.

11. The method according to claim 8, wherein the at least one type of quality indicator comprises at least one of:

12. An apparatus for scheduling access points, comprising:

a scheduling unit, configured to schedule a target access point to be accessed by a target user based on the at least one quality indicator, where the at least one quality indicator is used to characterize access quality of a target type of the target user with respect to the at least one access point, respectively, and the at least one access point includes the target access point;

13. A server, comprising:

a processor and a memory for storing a computer program, the processor for invoking and executing the computer program stored in the memory to perform the method of any one of claims 1 to 11.

14. A computer-readable storage medium for storing a computer program which causes a computer to perform the method of any one of claims 1 to 11.