CN111083181A - Equipment scheduling method, gateway and system for large-scale access to Internet of things - Google Patents

Abstract

The invention provides a device scheduling method, a gateway and a system for large-scale access to the Internet of things. The method comprises the following steps: acquiring current load information and current equipment connection number of each access node of an Internet of things cloud platform; when a first allocation request sent by intelligent equipment is received, allocating a first access node and first random connection waiting time for the intelligent equipment according to a preset scheduling rule, current load information of each access node and the current equipment connection number, and returning an allocation result to the intelligent equipment so that the intelligent equipment can be connected with the first access node according to the allocated first access node information and the first random connection waiting time; storing the first access node information and the first random connection latency allocated to the smart device as device scheduling information. The invention intelligently and dynamically allocates the resources of the equipment access nodes, solves the problem that large-scale equipment is accessed into the Internet of things cloud platform, and realizes the automatic operation and maintenance of equipment access management.

Description

Device scheduling method, gateway and system for large-scale access to the Internet of Things

technical field

The invention relates to the technical field of the Internet of Things, in particular to a device scheduling method for large-scale access to the Internet of Things, a gateway for large-scale access to the device scheduling of the Internet of Things, a device scheduling system for large-scale access to the Internet of Things, and computer storage media and computing devices.

Background technique

The concept of Internet of Things (Internet of Things, IoT) is a network concept that extends and extends its user end to any item and item on the basis of the "Internet concept" for information exchange and communication. The Internet of Things connects all items with the Internet through information sensing devices to exchange information, that is, things are interrelated, so as to realize intelligent identification and management. The Internet of Things is being used more and more widely in fields such as smart home.

The IoT cloud platform can help developers (ie, device manufacturers) to easily realize device access and device connection, realize remote monitoring and operation of IoT devices, and provide comprehensive IoT solutions. However, in the existing IoT cloud platform solution, when a smart device is connected to a server (also referred to as an access node) of the IoT cloud platform, it directly utilizes domain name resolution to provide dynamic allocation of access nodes. This allocation scheme cannot refer to the actual load situation of an access node at present, and flexibly schedule intelligent devices to certain nodes, which may lead to a large load of some access nodes. Especially when a server cluster of the cloud platform goes down, a large number of devices need to be reconnected, resulting in a large number of concurrent connection requests, which brings huge access pressure to the access nodes.

SUMMARY OF THE INVENTION

In view of the above problems, the present invention is proposed to provide a device scheduling method for large-scale access to the Internet of Things that overcomes the above problems or at least partially solves the above problems, a gateway for large-scale access to the Internet of Things device scheduling, a large-scale Device scheduling systems, computer storage media and computing devices connected to the Internet of Things.

According to an aspect of the embodiments of the present invention, a device scheduling method for large-scale access to the Internet of Things is provided, including:

Collect the current load information and the current number of device connections of each access node of the IoT cloud platform;

When receiving the first allocation request sent by the smart device, according to the predetermined scheduling rule and the collected current load information of each access node and the current number of device connections, allocate the first access node and the first random connection to the smart device waiting time;

Return the information of the first access node and the first random connection waiting time to the smart device, so that the smart device can base on the information of the first access node and the first random connection waiting time connecting to the first access node;

The first access node information and the first random connection waiting time allocated to the smart device are stored as device scheduling information.

Optionally, if the smart device fails to connect to the first access node according to the information of the first access node and the first random connection waiting time, or the smart device successfully connects to the first access node. After the access node is disconnected, the method further includes:

receiving a reassignment request sent by the smart device according to the first random connection waiting time;

Allocate a second access node and a second random connection waiting time to the smart device according to the predetermined scheduling rule, the device scheduling information, and the collected current load information and current number of device connections of each access node;

Return the information of the second access node and the second random connection waiting time to the smart device, so that the smart device can wait for the second random connection according to the information of the second access node and the second random connection connecting to the second access node;

storing the second access node information and the second random connection waiting time allocated to the smart device as device scheduling information;

And so on, until the smart device successfully connects to an access node.

Optionally, the method further includes:

Each access node of the Internet of Things cloud platform is automatically registered, so as to realize information collection and monitoring of each access node.

Optionally, the predetermined scheduling rule includes:

Priority is given to allocating the access node with the lowest current load to the smart device; or,

The access node with the least number of currently connected devices is preferentially allocated to the smart device.

According to another aspect of the embodiments of the present invention, a gateway for device scheduling for large-scale access to the Internet of Things is also provided, including:

The monitoring module is suitable for collecting the current load information and the current number of device connections of each access node of the IoT cloud platform;

a receiving module, adapted to receive the first allocation request sent by the smart device;

The allocation module is adapted to, after the receiving module receives the first allocation request sent by the smart device, according to the predetermined scheduling rule and the collected current load information of each access node and the current number of device connections, allocate the first allocation to the smart device. an access node and the first random connection waiting time;

A sending module, adapted to return the information of the first access node and the first random connection waiting time to the smart device, so that the smart device can a random connection latency to connect to the first access node; and

The storage module is adapted to store the first access node information and the first random connection waiting time allocated to the smart device as device scheduling information.

Optionally, if the smart device fails to connect to the first access node according to the information of the first access node and the first random connection waiting time, or the smart device successfully connects to the first access node. After connecting to the node and disconnecting, then

The receiving module is further adapted to receive a reassignment request sent by the smart device according to the first random connection waiting time;

The allocation module is further adapted to allocate the second access node and the first access node to the smart device according to the predetermined scheduling rule, the device scheduling information, and the collected current load information and current number of device connections of each access node. 2. Random connection waiting time;

The sending module is further adapted to return the information of the second access node and the second random connection waiting time to the intelligent device, so that the intelligent device can send the information according to the information of the second access node and the second random connection waiting time. the second random connection waiting time to connect to the second access node;

The storage module is further adapted to store the second access node information and the second random connection waiting time allocated to the smart device as device scheduling information;

The receiving module, the allocating module, the sending module, and the storage module operate by analogy until the smart device successfully connects to an access node.

Optionally, the gateway further includes:

The registration module is adapted to automatically register each access node of the IoT cloud platform, so as to realize the information collection and monitoring of the each access node by the gateway.

Optionally, the predetermined scheduling rule includes:

Priority is given to allocating the access node with the lowest current load to the smart device; or,

The access node with the least number of currently connected devices is preferentially allocated to the smart device.

According to yet another aspect of the embodiments of the present invention, there is also provided a device scheduling system for large-scale access to the Internet of Things, including a plurality of smart devices, an Internet of Things cloud platform, and any of the above-mentioned methods for large-scale access to the Internet of Things. A gateway for scheduling devices entering the Internet of Things, wherein the plurality of smart devices access the Internet of Things cloud platform according to the access nodes allocated by the gateway and the random connection waiting time.

According to yet another aspect of the embodiments of the present invention, there is also provided a computer storage medium, where the computer storage medium stores computer program codes, which, when the computer program codes are executed on a computing device, cause the computing device to execute according to the The device scheduling method for large-scale access to the Internet of Things described in any one of the above.

According to yet another aspect of the embodiments of the present invention, a computing device is also provided, including:

processor; and

memory in which computer program code is stored;

The computer program code, when executed by the processor, causes the computing device to perform the device scheduling method for massive access to the Internet of Things according to any one of the above.

The device scheduling method, gateway, and system for large-scale access to the Internet of Things proposed by the embodiments of the present invention can, when receiving the first allocation request sent by the smart device, can be based on predetermined scheduling rules and the collected access points of the Internet of Things cloud platform. The current load information of the node and the current number of device connections, allocate the first access node and the first random connection waiting time to the smart device, and then enable the smart device to wait according to the returned information of the first access node and the first random connection. time to connect to the first access node. At the same time, the first access node information and the first random connection waiting time allocated to the smart device are also stored as the device scheduling information. Through this scheduling method, resources of device access nodes can be intelligently and dynamically allocated according to the current access service status, and load balancing can be achieved to the greatest extent. At the same time, by assigning random connection waiting time to smart devices, when the device requests access to the node, there will be a random waiting time, which solves the problem of excessive load on the access node when a large number of devices are connected at the same time, thereby supporting the horizontal expansion of access services. .

Further, if the intelligent device fails to connect to the first access node according to the information of the first access node and the first random connection waiting time, or if the intelligent device is disconnected after successfully connecting to the first access node, the intelligent device is also allowed to connect to the first access node according to the first random connection waiting time. A random connection waiting time re-requests the scheduling service, and further, according to the predetermined scheduling rule, device scheduling information, and the current load information of each access node and the current number of device connections, the smart device is reassigned access nodes and random connection waiting time, until The smart device is successfully connected. Since there will be a random waiting time when the device re-requests the scheduling service, the traffic avalanche caused by network failure is avoided, and it is especially suitable for the situation where a large number of devices need to be reconnected when a server cluster of the cloud platform is down, resulting in a large number of concurrent connection requests. . At the same time, when the load of an access node is too high or network operation and maintenance is performed, the device can also be instructed to reset the scheduling service to realize automatic operation and maintenance of device access management.

The above description is only an overview of the technical solutions of the present invention, in order to be able to understand the technical means of the present invention more clearly, it can be implemented according to the content of the description, and in order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand , the following specific embodiments of the present invention are given.

The above and other objects, advantages and features of the present invention will be more apparent to those skilled in the art from the following detailed description of the specific embodiments of the present invention in conjunction with the accompanying drawings.

Description of drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are for the purpose of illustrating preferred embodiments only and are not to be considered limiting of the invention. Also, the same components are denoted by the same reference numerals throughout the drawings. In the attached image:

FIG. 1 shows a flowchart of a device scheduling method for large-scale access to the Internet of Things according to an embodiment of the present invention;

FIG. 2 shows a flowchart of a device scheduling method for large-scale access to the Internet of Things according to another embodiment of the present invention;

FIG. 3 shows a schematic structural diagram of a gateway for device scheduling for large-scale access to the Internet of Things according to an embodiment of the present invention;

FIG. 4 shows a schematic structural diagram of a gateway for scheduling devices for large-scale access to the Internet of Things according to another embodiment of the present invention; and

FIG. 5 shows a schematic structural diagram of a device scheduling system for large-scale access to the Internet of Things according to an embodiment of the present invention.

Detailed ways

Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that the present disclosure will be more thoroughly understood, and will fully convey the scope of the present disclosure to those skilled in the art.

In order to solve the above technical problem, an embodiment of the present invention proposes a device scheduling method for large-scale access to the Internet of Things. FIG. 1 shows a flowchart of a method for scheduling devices for large-scale access to the Internet of Things according to an embodiment of the present invention. Referring to FIG. 1, the method may include at least the following steps S102 to S108.

Step S102: Collect current load information and current number of device connections of each access node of the IoT cloud platform.

Step S104, when receiving the first allocation request sent by the smart device, according to the predetermined scheduling rule and the collected current load information of each access node and the current number of device connections, allocate the first access node and the first random number to the smart device. Connection wait time.

Step S106: Return the information of the first access node and the first random connection waiting time to the smart device, so that the smart device can connect to the first access node according to the information of the first access node and the first random connection waiting time.

Step S108: Store the first access node information and the first random connection waiting time allocated to the smart device as device scheduling information.

It should be noted that the order of the above steps S106 and S108 can be interchanged, which is not limited in the present invention.

The device scheduling method for large-scale access to the Internet of Things proposed by the embodiment of the present invention can intelligently and dynamically allocate resources of device access nodes according to the current access service status, so as to achieve load balance to the greatest extent. At the same time, by assigning random connection waiting time to smart devices, when the device requests access to the node, there will be a random waiting time, which solves the problem of excessive load on the access node when a large number of devices are connected at the same time, thereby supporting the horizontal expansion of access services. .

The smart devices mentioned above may include air conditioners, air purifiers, refrigerators, TVs, desk lamps, speakers, and the like. An IoT cloud platform can include one or more server clusters. A server cluster is a collection of servers that provide a specific service. In this embodiment of the present invention, each server cluster may include a server (called a broker, using the Internet of Things protocol MQTT (Message Queuing Telemetry Transport, Message Queuing Telemetry Transport Protocol)) for accepting device connections, for storing the reporting status of the device A shadow server (called shadow) that accepts data input, interprets business rules, and makes business decisions based on business rules (called rule engine). When a smart device is connected to the IoT cloud platform, it can be connected through a broker in any server cluster on the IoT cloud platform.

In the above step S102, the data of each access node of the IoT cloud platform may be collected in real time at a predetermined frequency, so as to realize real-time monitoring of the status of each access node.

In the above step S104, the predetermined scheduling rule is a scheduling rule formulated by a specific policy module for various operation situations of the IoT cloud platform (eg, network failure, network operation and maintenance, excessive load of an access node, etc.).

In an optional embodiment, the predetermined scheduling rule may include:

Priority is given to allocating the access node with the lowest current load to the smart device; or,

The access node with the least number of currently connected devices is preferentially allocated to the smart device.

Through the above scheduling rules, it is possible to intelligently and dynamically allocate the resources of the device access nodes with reference to the current load situation of the access nodes, so as to achieve load balance to the greatest extent.

Further, other strategies can be flexibly adopted when allocating access nodes and random connection waiting time for smart devices. In addition to considering the current load information and the current number of device connections of each access node, the current network status of each access node, the geographical information of the device to be accessed, and the like may also be further considered. For example, an access node with the lowest current load, a good network condition and the closest geographical distance to the smart device is preferentially allocated to the smart device to be accessed.

After allocating the first access node and the first random connection waiting time to the smart device, the information of the allocated first access node and the first random connection waiting time is returned to the smart device in the above step S106. Further, the smart device can connect to the first access node according to the allocated information of the first access node and the first random connection waiting time, so as to access the IoT cloud platform and perform data interaction with the IoT cloud platform. By assigning random connection waiting time to smart devices, when smart devices request access to a node, there will be a random waiting time, which solves the problem of excessive load on access nodes when a large number of devices are connected at the same time, thereby supporting horizontal expansion of access services.

In the above step S108, the allocated information of the first access node and the first random connection waiting time are stored in association with the smart devices to which they are allocated, as device scheduling information for reference in subsequent service scheduling.

In practical applications, when the smart device connects to the first access node according to the allocated information of the first access node and the first random connection waiting time, it may fail to connect successfully; or, when the smart device successfully connects After the first access node, the smart device is disconnected (that is, disconnected from the first access node) due to network failures, network operation and maintenance, and excessive load on the first access node. At this time, the smart device needs to reconnect. In particular, if a server cluster in the IoT cloud platform goes down, a large number of smart devices originally connected to the server cluster will be disconnected, and these devices need to re-request scheduling services to reconnect to new access nodes. If a large number of devices send scheduling and connection requests at the same time, it will bring huge access pressure to the scheduling devices and access nodes.

In order to avoid the above situation, in an optional embodiment, if the smart device fails to connect to the first access node according to the information of the first access node and the first random connection waiting time, or the smart device successfully connects to the first access node After disconnection, the device scheduling method for large-scale access to the Internet of Things may further include:

receiving a reassignment request sent by the smart device according to the first random connection waiting time;

Allocate the second access node and the second random connection waiting time to the intelligent device according to the predetermined scheduling rule, the equipment scheduling information and the collected current load information and the current number of equipment connections of each access node;

Return the information of the second access node and the second random connection waiting time to the smart device, so that the smart device can connect to the second access node according to the information of the second access node and the second random connection waiting time;

storing the second access node information and the second random connection waiting time allocated to the smart device as device scheduling information;

And so on, until the smart device successfully connects to an access node.

The first random connection waiting time and the second random connection waiting time mentioned above can be set according to the actual demand of the smart device for service response and the performance of the access node of the IoT cloud platform. For example, it can be set to 3. -4 seconds.

Since there will be a random waiting time when the device re-requests the scheduling service, the traffic avalanche caused by network failure is avoided, and it is especially suitable for the situation where a large number of devices need to be reconnected when a server cluster of the cloud platform is down, resulting in a large number of concurrent connection requests. . At the same time, when the load of an access node is too high or network operation and maintenance is performed, the device can also be instructed to reset the scheduling service to realize automatic operation and maintenance of device access management.

In order to monitor the access service of the Internet of Things cloud platform, in an optional embodiment, the device scheduling method for large-scale access to the Internet of Things may further include:

Automatically register each access node of the IoT cloud platform to realize real-time information collection and monitoring of each access node.

Various implementation manners of each link of the embodiment shown in FIG. 1 have been introduced above, and the implementation process of the device scheduling method for large-scale access to the Internet of Things of the present invention will be described in detail below through specific embodiments.

FIG. 2 shows a schematic flowchart of a device scheduling method for large-scale access to the Internet of Things according to a specific embodiment of the present invention. Referring to Fig. 2, the method may include the following steps S202 to S222.

Step S202: Automatically register each access node of the IoT cloud platform.

Step S204, formulate a predetermined scheduling rule for the smart device.

In this embodiment, the predetermined scheduling rule includes preferentially allocating an access node with the lowest current load to the smart device; or, preferentially allocating an access node with the least number of currently connected devices to the smart device.

Step S206: Collect current load information and current number of device connections of each access node of the IoT cloud platform.

Step S208, when receiving the first allocation request sent by the smart device, allocate the first access node and the first access node to the smart device according to the predetermined scheduling rule and the collected current load information of each access node and the current number of device connections. Random connection wait time.

Step S210: Return the information of the first access node and the first random connection waiting time to the smart device, so that the smart device can connect to the first access node according to the information of the first access node and the first random connection waiting time.

Step S212: Store the first access node information and the first random connection waiting time allocated to the smart device as device scheduling information.

Step S214, if the smart device fails to connect to the first access node according to the information of the first access node and the first random connection waiting time, or the smart device disconnects after successfully connecting to the first access node, the receiving smart device will receive the first access node according to the first random connection waiting time. A reassignment request sent with a random connection wait time.

Step S216: Allocate the second access node and the second random connection waiting time to the smart device according to the predetermined scheduling rule, the device scheduling information, and the collected current load information and current device connection number of each access node.

Step S218: Return the information of the second access node and the second random connection waiting time to the smart device, so that the smart device can connect to the second access node according to the information of the second access node and the second random connection waiting time.

Step S220: Store the second access node information and the second random connection waiting time allocated to the smart device as device scheduling information.

Step S222, and so on, until the smart device successfully connects to an access node.

This embodiment realizes the intelligent scheduling of the device, and can intelligently and dynamically allocate the resources of the device access node according to the current access service status, so as to achieve load balance to the greatest extent. At the same time, by assigning random connection waiting time to smart devices, when the device requests access to the node, there will be a random waiting time, which solves the problem of excessive load on the access node when a large number of devices are connected at the same time. Further, since there will be random waiting time when the device re-requests the scheduling service, traffic avalanches caused by network failures are avoided.

It should be noted that, in practical applications, all the above-mentioned optional embodiments may be combined arbitrarily to form optional embodiments of the present invention, which will not be repeated here.

Based on the same inventive concept, an embodiment of the present invention also provides a gateway for scheduling equipment for large-scale access to the Internet of Things, which is used to support the equipment for large-scale access to the Internet of Things provided by any one of the foregoing embodiments or a combination thereof scheduling method. FIG. 3 shows a schematic structural diagram of a gateway for scheduling devices for large-scale access to the Internet of Things according to an embodiment of the present invention. Referring to FIG. 3 , the gateway may at least include: a monitoring module 310 , a receiving module 320 , a distribution module 330 , a sending module 340 and a storage module 350 .

The functions of each component or device and the connection relationship between each part of the gateway for large-scale access to the device scheduling of the Internet of Things according to the embodiment of the present invention are now introduced:

The monitoring module 310 is adapted to collect the current load information and the current number of device connections of each access node of the IoT cloud platform.

The receiving module 320 is adapted to receive the first allocation request sent by the smart device.

The allocation module 330 is connected with the monitoring module 310 and the receiving module 320 respectively, and is adapted to, after the receiving module 320 receives the first allocation request sent by the smart device, according to the predetermined scheduling rule and the collected current load information and current load information of each access node. The number of device connections, which allocates the first access node and the first random connection waiting time to the smart device.

The sending module 340, connected with the allocation module 330, is adapted to return the information of the first access node and the first random connection waiting time to the intelligent device, so that the intelligent device can according to the information of the first access node and the first random connection waiting time Connect to the first access node.

The storage module 350, connected to the allocation module 330, is adapted to store the first access node information and the first random connection waiting time allocated to the smart device as the device scheduling information.

In an optional embodiment, if the smart device fails to connect to the first access node according to the information of the first access node and the first random connection waiting time, or the smart device disconnects after successfully connecting to the first access node, then

The receiving module 320 is further adapted to receive a reassignment request sent by the smart device according to the first random connection waiting time;

The allocation module 330 is further adapted to allocate the second access node and the second random connection waiting time to the smart device according to the predetermined scheduling rule, the equipment scheduling information and the collected current load information and the current number of equipment connections of each access node;

The sending module 340 is further adapted to return the information of the second access node and the second random connection waiting time to the smart device, so that the smart device can connect to the second access node according to the information of the second access node and the second random connection waiting time ;

The storage module 350 is further adapted to store the second access node information and the second random connection waiting time allocated to the smart device as device scheduling information.

The receiving module 320 , the allocating module 330 , the sending module 340 and the storage module 350 operate by analogy until the smart device successfully connects to an access node.

According to another embodiment of the present invention, as shown in FIG. 4 , the gateway for device scheduling for large-scale access to the Internet of Things shown in FIG. 3 may further include:

The registration module 460, connected with the monitoring module 310, is suitable for automatically registering each access node of the IoT cloud platform, so as to realize the information collection and monitoring of each access node by the gateway.

The predetermined scheduling rule mentioned above may be a scheduling rule formulated by a specific policy module for various operation situations of the IoT cloud platform (eg, network failure, network operation and maintenance, excessive load of an access node, etc.).

In an optional embodiment, the predetermined scheduling rule may include:

Priority is given to allocating the access node with the lowest current load to the smart device; or,

The access node with the least number of currently connected devices is preferentially allocated to the smart device.

Based on the same inventive concept, an embodiment of the present invention further provides a device scheduling system for large-scale access to the Internet of Things. FIG. 5 shows a schematic structural diagram of a device scheduling system for large-scale access to the Internet of Things according to an embodiment of the present invention. Referring to FIG. 5 , the system may include at least a plurality of smart devices, an IoT cloud platform, and a gateway for scheduling devices for large-scale access to the IoT described in any one of the foregoing embodiments or a combination thereof.

As shown in FIG. 5 , multiple smart devices (including smart device A, smart device B, smart device C, etc.) are connected to the gateway to request scheduling services. The IoT cloud platform includes multiple server clusters such as server cluster 1 and server cluster 2. Each server cluster includes a broker server, a shadow server shadow, and a rule engine. Each access node of the IoT cloud platform (which can be understood as the broker server of each server cluster) is automatically registered with the gateway, so as to realize the information collection and monitoring of each access node by the gateway. After receiving the scheduling service request from the smart device, the gateway allocates an access node and a random connection waiting time to it. Furthermore, the smart device accesses the IoT cloud platform according to the access node assigned by the gateway and the random connection waiting time.

Based on the same inventive concept, an embodiment of the present invention also provides a computer storage medium. The computer storage medium stores computer program code, which, when executed on a computing device, causes the computing device to execute the device scheduling method for large-scale access to the Internet of Things according to any one of the foregoing embodiments or a combination thereof.

Based on the same inventive concept, an embodiment of the present invention further provides a computing device. The computing device may include:

processor; and

memory in which computer program code is stored;

When the computer program code is executed by the processor, it causes the computing device to execute the device scheduling method for large-scale access to the Internet of Things according to any one of the foregoing embodiments or a combination thereof.

According to any one of the foregoing optional embodiments or a combination of multiple optional embodiments, the embodiments of the present invention can achieve the following beneficial effects:

The device scheduling method, gateway, and system for large-scale access to the Internet of Things proposed by the embodiments of the present invention can, when receiving the first allocation request sent by the smart device, can be based on predetermined scheduling rules and the collected access points of the Internet of Things cloud platform. The current load information of the node and the current number of device connections, allocate the first access node and the first random connection waiting time to the smart device, and then enable the smart device to wait according to the returned information of the first access node and the first random connection. time to connect to the first access node. At the same time, the first access node information and the first random connection waiting time allocated to the smart device are also stored as the device scheduling information. Through this scheduling method, resources of device access nodes can be intelligently and dynamically allocated according to the current access service status, and load balancing can be achieved to the greatest extent. At the same time, by assigning random connection waiting time to smart devices, when the device requests access to the node, there will be a random waiting time, which solves the problem of excessive load on the access node when a large number of devices are connected at the same time, thereby supporting the horizontal expansion of access services. .

Further, if the smart device fails to connect to the first access node according to the information of the first access node and the first random connection waiting time, or the smart device drops after successfully connecting to the first access node, the smart device is also allowed to connect to the first access node according to the first random connection waiting time. A random connection waiting time re-requests the scheduling service, and further, according to the predetermined scheduling rule, device scheduling information, and the current load information of each access node and the current number of device connections, the smart device is reassigned access nodes and random connection waiting time until The smart device is successfully connected. Because there will be random waiting time when the device re-requests the scheduling service, it avoids the traffic avalanche caused by network failure, especially suitable for the situation where a large number of devices need to be reconnected when a server cluster of the cloud platform goes down, resulting in a large number of concurrent connection requests. . At the same time, when the load of an access node is too high or network operation and maintenance is performed, the device can also be instructed to reset the scheduling service to realize automatic operation and maintenance of device access management.

Those skilled in the art can clearly understand that, for the specific working processes of the systems, devices and units described above, reference may be made to the corresponding processes in the foregoing method embodiments, and for the sake of brevity, details are not described herein.

In addition, each functional unit in each embodiment of the present invention may be physically independent of each other, or two or more functional units may be integrated together, or all functional units may be integrated into one processing unit. The above-mentioned integrated functional units may be implemented in the form of hardware, and may also be implemented in the form of software or firmware.

Those skilled in the art can understand that: if the integrated functional unit is implemented in the form of software and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present invention or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, which includes several instructions to make a computer A computing device (such as a personal computer, a server, or a network device, etc.) executes all or part of the steps of the methods described in the embodiments of the present invention when running the instructions. The aforementioned storage medium includes: a U disk, a removable hard disk, a read only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk and other media that can store program codes.

Alternatively, all or part of the steps of implementing the foregoing method embodiments may be accomplished by program instructions related to hardware (such as a personal computer, a server, or a computing device such as a network device), and the program instructions may be stored in a computer-readable storage In the medium, when the program instructions are executed by the processor of the computing device, the computing device executes all or part of the steps of the methods described in the embodiments of the present invention.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, but not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: Within the spirit and principle of the present invention, it is still possible to modify the technical solutions recorded in the foregoing embodiments, or to perform equivalent replacements for some or all of the technical features; and these modifications or replacements do not make the corresponding technical solutions deviate protection scope of the present invention.

According to an aspect of the embodiments of the present invention, A1. A device scheduling method for large-scale access to the Internet of Things is provided, comprising:

Collect the current load information and the current number of device connections of each access node of the IoT cloud platform;

When receiving the first allocation request sent by the smart device, according to the predetermined scheduling rule and the collected current load information of each access node and the current number of device connections, allocate the first access node and the first random connection to the smart device waiting time;

Return the information of the first access node and the first random connection waiting time to the smart device, so that the smart device can base on the information of the first access node and the first random connection waiting time connecting to the first access node;

The first access node information and the first random connection waiting time allocated to the smart device are stored as device scheduling information.

A2. The device scheduling method according to A1, wherein if the smart device fails to connect to the first access node according to the information of the first access node and the first random connection waiting time, or If the smart device is disconnected after successfully connecting to the first access node, the method further includes:

receiving a reassignment request sent by the smart device according to the first random connection waiting time;

Allocate a second access node and a second random connection waiting time to the smart device according to the predetermined scheduling rule, the device scheduling information, and the collected current load information and current number of device connections of each access node;

Return the information of the second access node and the second random connection waiting time to the smart device, so that the smart device can wait for the second random connection according to the information of the second access node and the second random connection connecting to the second access node;

storing the second access node information and the second random connection waiting time allocated to the smart device as device scheduling information;

And so on, until the smart device successfully connects to an access node.

A3. The device scheduling method according to A1 or A2, wherein the method further comprises:

Each access node of the Internet of Things cloud platform is automatically registered, so as to realize information collection and monitoring of each access node.

A4. The device scheduling method according to any one of A1-A3, wherein the predetermined scheduling rule includes:

Priority is given to allocating the access node with the lowest current load to the smart device; or,

The access node with the least number of currently connected devices is preferentially allocated to the smart device.

According to another aspect of the embodiments of the present invention, there is also provided B5. A gateway for device scheduling for large-scale access to the Internet of Things, comprising:

The monitoring module is suitable for collecting the current load information and the current number of device connections of each access node of the IoT cloud platform;

a receiving module, adapted to receive the first allocation request sent by the smart device;

The allocation module is adapted to, after the receiving module receives the first allocation request sent by the smart device, according to the predetermined scheduling rule and the collected current load information of each access node and the current number of device connections, allocate the first allocation to the smart device. an access node and the first random connection waiting time;

A sending module, adapted to return the information of the first access node and the first random connection waiting time to the smart device, so that the smart device can a random connection latency to connect to the first access node; and

The storage module is adapted to store the first access node information and the first random connection waiting time allocated to the smart device as device scheduling information.

B6. The gateway according to B5, wherein if the smart device fails to connect to the first access node according to the information of the first access node and the first random connection waiting time, or the smart device If the device is disconnected after successfully connecting to the first access node, then

The receiving module is further adapted to receive a reassignment request sent by the smart device according to the first random connection waiting time;

The allocation module is further adapted to allocate the second access node and the first access node to the smart device according to the predetermined scheduling rule, the device scheduling information, and the collected current load information and current number of device connections of each access node. 2. Random connection waiting time;

The sending module is further adapted to return the information of the second access node and the second random connection waiting time to the intelligent device, so that the intelligent device can send the information according to the information of the second access node and the second random connection waiting time. the second random connection waiting time to connect to the second access node;

The storage module is further adapted to store the second access node information and the second random connection waiting time allocated to the smart device as device scheduling information;

The receiving module, the allocating module, the sending module, and the storage module operate by analogy until the smart device successfully connects to an access node.

B7. The gateway according to B5 or B6, further comprising:

The registration module is adapted to automatically register each access node of the IoT cloud platform, so as to realize the information collection and monitoring of the each access node by the gateway.

B8. The gateway according to any one of B5-B7, wherein the predetermined scheduling rule comprises:

Priority is given to allocating the access node with the lowest current load to the smart device; or,

The access node with the least number of currently connected devices is preferentially allocated to the smart device.

According to yet another aspect of the embodiments of the present invention, C9. A device scheduling system for large-scale access to the Internet of Things is also provided, comprising a plurality of smart devices, an Internet of Things cloud platform, and the system according to any one of B5-B8. A gateway for device scheduling for large-scale access to the Internet of Things, wherein the plurality of smart devices access the Internet of Things cloud platform according to the access nodes allocated by the gateway and the random connection waiting time.

According to yet another aspect of the embodiments of the present invention, D10. A computer storage medium is also provided, the computer storage medium stores computer program code, when the computer program code is executed on a computing device, causes the computing device The device scheduling method for large-scale access to the Internet of Things according to any one of A1-A4 is performed.

According to yet another aspect of the embodiments of the present invention, E11. A computing device is also provided, comprising:

processor; and

memory in which computer program code is stored;

When the computer program code is executed by the processor, it causes the computing device to execute the device scheduling method for massive access to the Internet of Things according to any one of A1-A4.

Claims (10)

1. A device scheduling method for large-scale access to the Internet of Things, comprising: Collect the current load information and the current number of device connections of each access node of the IoT cloud platform; When receiving the first allocation request sent by the smart device, according to the predetermined scheduling rule and the collected current load information of each access node and the current number of device connections, allocate the first access node and the first random connection to the smart device waiting time; Return the information of the first access node and the first random connection waiting time to the smart device, so that the smart device can base on the information of the first access node and the first random connection waiting time connecting to the first access node; The first access node information and the first random connection waiting time allocated to the smart device are stored as device scheduling information. 2. The device scheduling method according to claim 1, wherein, if the smart device fails to connect to the first access node according to the information of the first access node and the first random connection waiting time, Or the smart device is disconnected after successfully connecting to the first access node, the method further includes: receiving a reassignment request sent by the smart device according to the first random connection waiting time; Allocate a second access node and a second random connection waiting time to the smart device according to the predetermined scheduling rule, the device scheduling information, and the collected current load information and current number of device connections of each access node; Return the information of the second access node and the second random connection waiting time to the smart device, so that the smart device can wait for the second random connection according to the information of the second access node and the second random connection connecting to the second access node; storing the second access node information and the second random connection waiting time allocated to the smart device as device scheduling information; And so on, until the smart device successfully connects to an access node. 3. The device scheduling method according to claim 1 or 2, wherein the method further comprises: Each access node of the Internet of Things cloud platform is automatically registered, so as to realize the information collection and monitoring of each access node. 4. The device scheduling method according to any one of claims 1-3, wherein the predetermined scheduling rule comprises: Priority is given to allocating the access node with the lowest current load to the smart device; or, The access node with the least number of currently connected devices is preferentially allocated to the smart device. 5. A gateway for device scheduling for large-scale access to the Internet of Things, comprising: The monitoring module is suitable for collecting the current load information and the current number of device connections of each access node of the IoT cloud platform; a receiving module, adapted to receive the first allocation request sent by the smart device; The allocation module is adapted to, after the receiving module receives the first allocation request sent by the smart device, according to the predetermined scheduling rule and the collected current load information of each access node and the current number of device connections, allocate the first allocation to the smart device. an access node and the first random connection waiting time; A sending module, adapted to return the information of the first access node and the first random connection waiting time to the smart device, so that the smart device can a random connection latency to connect to the first access node; and The storage module is adapted to store the first access node information and the first random connection waiting time allocated to the smart device as device scheduling information. 6. The gateway according to claim 5, wherein, if the smart device fails to connect to the first access node according to the information of the first access node and the first random connection waiting time, or all the If the smart device is disconnected after successfully connecting to the first access node, then The receiving module is further adapted to receive a reassignment request sent by the smart device according to the first random connection waiting time; The allocation module is further adapted to allocate the second access node and the first access node to the smart device according to the predetermined scheduling rule, the device scheduling information, and the collected current load information and current number of device connections of each access node. 2. Random connection waiting time; The sending module is further adapted to return the information of the second access node and the second random connection waiting time to the intelligent device, so that the intelligent device can send the information according to the information of the second access node and the second random connection waiting time. the second random connection waiting time to connect to the second access node; The storage module is further adapted to store the second access node information and the second random connection waiting time allocated to the smart device as device scheduling information; The receiving module, the allocating module, the sending module, and the storage module operate by analogy until the smart device successfully connects to an access node. 7. The gateway according to claim 5 or 6, wherein, further comprising: The registration module is adapted to automatically register each access node of the IoT cloud platform, so as to realize the information collection and monitoring of the each access node by the gateway. 8. A device scheduling system for large-scale access to the Internet of Things, comprising a plurality of smart devices, an Internet of Things cloud platform, and the device scheduling for large-scale access to the Internet of Things according to any one of claims 5-7 The gateway, wherein the multiple smart devices access the IoT cloud platform according to the access nodes and random connection waiting time allocated by the gateway. 9. A computer storage medium storing computer program code which, when executed on a computing device, causes the computing device to perform the execution of any one of claims 1-4 A device scheduling method for large-scale access to the Internet of Things. 10. A computing device comprising: processor; and memory in which computer program code is stored; When the computer program code is executed by the processor, it causes the computing device to execute the device scheduling method for large-scale access to the Internet of Things according to any one of claims 1-4.

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