CN111083181A - Equipment scheduling method, gateway and system for large-scale access to Internet of things - Google Patents
Equipment scheduling method, gateway and system for large-scale access to Internet of things Download PDFInfo
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- H04L12/00—Data switching networks
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- H04L12/2854—Wide area networks, e.g. public data networks
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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
Technical Field
The invention relates to the technical field of Internet of things, in particular to a device scheduling method for large-scale access to the Internet of things, a gateway for device scheduling for large-scale access to the Internet of things, a device scheduling system for large-scale access to the Internet of things, a computer storage medium and a computing device.
Background
The Internet of Things (IoT) concept is a network concept that extends and expands its user end to any article to article for information exchange and communication based on the Internet concept. The internet of things connects all articles with the internet through the information sensing equipment to exchange information, namely, the articles are related to each other, so that intelligent identification and management are realized. The internet of things is being widely applied in the fields of smart home and the like.
The internet of things cloud platform can help a developer (namely, an equipment manufacturer) to easily realize equipment access and equipment connection, realize remote monitoring and operation of internet of things equipment, and provide a comprehensive internet of things solution. However, in the existing solution of the internet of things cloud platform, when the smart device accesses a server (also referred to as an access node) of the internet of things cloud platform, the dynamic allocation of the access node is provided by directly utilizing domain name resolution. The allocation scheme cannot refer to the actual load condition of a certain current access node, and flexibly and directionally allocate the intelligent equipment to certain nodes, so that the load of some access nodes is possibly large. Particularly, when a certain server cluster of the cloud platform is down, a large number of devices need to be reconnected, so that a large number of connection requests are sent simultaneously, and huge access pressure is brought to the access node.
Disclosure of Invention
In view of the above, the present invention is proposed to provide a device scheduling method for large scale access to the internet of things, a gateway for device scheduling for large scale access to the internet of things, a device scheduling system for large scale access to the internet of things, a computer storage medium and a computing device that overcome or at least partially solve the above problems.
According to an aspect of the embodiments of the present invention, there is provided a device scheduling method for large-scale access to the internet of things, including:
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, and the acquired current load information and current equipment connection number of each access node;
returning the information of the first access node and the first random connection waiting time to the intelligent equipment so that the intelligent equipment can be connected with the first access node according to the information of the first access node 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.
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 drops after successfully connecting to the first access node, the method further includes:
receiving a redistribution request sent by the intelligent equipment according to the first random connection waiting time;
distributing second access nodes and second random connection waiting time for the intelligent equipment according to the preset scheduling rule, the equipment scheduling information, the collected current load information of each access node and the current equipment connection number;
returning the information of the second access node and the second random connection waiting time to the intelligent equipment so that the intelligent equipment can be connected with the second access node according to the information of the second access node and the second random connection waiting time;
storing second access node information and second random connection waiting time distributed to the intelligent equipment as equipment scheduling information;
and repeating the steps until the intelligent equipment is successfully connected with an access node.
Optionally, the method further comprises:
and automatically registering each access node of the Internet of things cloud platform to realize information acquisition and monitoring of each access node.
Optionally, the predetermined scheduling rule includes:
preferentially distributing the access node with the lowest current load to the intelligent equipment; or,
and preferentially distributing the access node with the least current connection equipment number to the intelligent equipment.
According to another aspect of the embodiments of the present invention, there is also provided a gateway for scheduling devices accessing to the internet of things in a large scale, including:
the monitoring module is suitable for collecting current load information and current equipment connection number of each access node of the Internet of things cloud platform;
the receiving module is suitable for receiving a first allocation request sent by the intelligent equipment;
the distribution module is suitable for distributing a first access node and first random connection waiting time for the intelligent equipment according to a preset scheduling rule, the collected current load information of each access node and the current equipment connection number after the receiving module receives a first distribution request sent by the intelligent equipment;
a sending module, 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 connects to the first access node according to the information of the first access node and the first random connection waiting time; and
and the storage module is suitable for storing the first access node information and the first random connection waiting time which are distributed to the intelligent equipment as equipment 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 drops after successfully connecting to the first access node, the smart device may disconnect from the first access node
The receiving module is further adapted to receive a reallocation request sent by the smart device according to the first random connection waiting time;
the allocation module is further adapted to allocate a second access node and a second random connection waiting time to the intelligent device according to the predetermined scheduling rule, the device scheduling information, and the acquired current load information and current device connection number of each access node;
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 connects to the second access node according to the information of the second access node and the second random connection waiting time;
the storage module is further adapted to store second access node information and second random connection latency time assigned to the smart device as device scheduling information;
and the receiving module, the distributing module, the sending module and the storage module operate in an analogized mode in sequence until the intelligent equipment is successfully connected with an access node.
Optionally, the gateway further comprises:
and the registration module is suitable for automatically registering each access node of the Internet of things cloud platform so as to realize information acquisition and monitoring of each access node by the gateway.
Optionally, the predetermined scheduling rule includes:
preferentially distributing the access node with the lowest current load to the intelligent equipment; or,
and preferentially distributing the access node with the least current connection equipment number to the intelligent equipment.
According to another aspect of the embodiment of the present invention, there is further 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 one of the gateways for device scheduling for large-scale access to the internet of things, where the plurality of smart devices access the internet of things cloud platform according to access nodes and random connection waiting time allocated by the gateways.
According to yet another aspect of the embodiments of the present invention, there is also provided a computer storage medium storing computer program code, which, when run 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 above.
According to yet another aspect of the embodiments of the present invention, there is also provided a computing device including:
a processor; and
a memory storing computer program code;
the computer program code, when executed by the processor, causes the computing device to perform a device scheduling method for large scale access to the internet of things according to any of the above.
According to the equipment scheduling method, the gateway and the system for large-scale access to the Internet of things, when a first allocation request sent by intelligent equipment is received, the first access node and the first random connection waiting time can be allocated to the intelligent equipment according to the preset scheduling rule and the collected current load information and the current equipment connection number of each access node of the cloud platform of the Internet of things, and then the intelligent equipment can be connected with the first access node according to the returned information of the first access node and the first random connection waiting time. Meanwhile, first access node information and first random connection waiting time distributed to the intelligent device are also stored as device scheduling information. By the scheduling mode, resources of the equipment access node can be intelligently and dynamically allocated according to the current access service condition, and load balancing is realized to the greatest extent. Meanwhile, random connection waiting time is distributed to the intelligent equipment, and the equipment has random waiting time when requesting to access the node, so that the problem of overhigh load of the access node when a large number of equipment are connected simultaneously is solved, and horizontal and arbitrary expansion access service can be supported.
Further, if the intelligent device fails to connect the first access node according to the information of the first access node and the first random connection waiting time or drops after the intelligent device successfully connects the first access node, the intelligent device is allowed to request the scheduling service again according to the first random connection waiting time, and then the access node and the random connection waiting time are redistributed for the intelligent device according to a preset scheduling rule, device scheduling information, current load information of each access node and the current device connection number until the intelligent device is successfully accessed. The random waiting time is generated when the equipment re-requests the scheduling service, so that the traffic avalanche caused by network faults is avoided, and the method is particularly suitable for the situation that when a certain server cluster of a cloud platform is down, a large amount of equipment needs to be re-connected to cause a large amount of concurrent connection requests. Meanwhile, when the load of a certain access node is too high or network operation and maintenance are carried out, the equipment can be informed to readjust scheduling service, and automatic operation and maintenance of equipment access management are realized.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
The above and other objects, advantages and features of the present invention will become more apparent to those skilled in the art from the following detailed description of specific embodiments thereof, taken in conjunction with the accompanying drawings.
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 only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a flowchart illustrating a device scheduling method for large-scale access to the internet of things according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a device scheduling method for large-scale access to the internet of things according to another embodiment of the present invention;
fig. 3 is a schematic structural diagram of a gateway for scheduling devices accessing the internet of things in a large scale according to an embodiment of the present invention;
fig. 4 is 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 is 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 Description
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 to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
In order to solve the technical problem, the embodiment of the invention provides a device scheduling method for large-scale access to the internet of things. Fig. 1 is a flowchart illustrating a device scheduling method 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, collecting current load information and current equipment connection number of each access node of the Internet of things cloud platform.
And step S104, when a first allocation request sent by the 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, the acquired current load information of each access node and the current equipment connection number.
Step S106, the information of the first access node and the first random connection waiting time are returned to the intelligent device, so that the intelligent device can be connected with the first access node according to the information of the first access node and the first random connection waiting time.
Step S108, storing the first access node information and the first random connection waiting time distributed to the intelligent device as device scheduling information.
It should be noted that the order of step S106 and step S108 may be interchanged, and the present invention is not limited thereto.
The equipment scheduling method for large-scale access to the Internet of things provided by the embodiment of the invention can intelligently and dynamically allocate the resources of the equipment access nodes according to the current access service condition, and maximally realize load balancing. Meanwhile, random connection waiting time is distributed to the intelligent equipment, and the equipment has random waiting time when requesting to access the node, so that the problem of overhigh load of the access node when a large number of equipment are connected simultaneously is solved, and horizontal and arbitrary expansion access service can be supported.
The smart devices mentioned above may include air conditioners, air purifiers, refrigerators, televisions, table lamps, speakers, etc. The internet of things cloud platform may include one or more server clusters. A server cluster refers to a series of servers that provide a particular service. In the embodiment of the present invention, each server cluster may include a server (referred to as a browser, which uses an internet of things protocol MQTT (Message queue Telemetry Transport), a shadow server (referred to as a shadow) for storing information such as a reporting state of a device, and a rule engine (referred to as a rule engine) for receiving data input, interpreting a service rule, and making a service decision according to the service rule. When the intelligent device is connected to the Internet of things cloud platform, the intelligent device can be connected through a brooker in any server cluster on the Internet of things cloud platform.
In step S102, data of each access node of the internet of things cloud platform may be collected in real time according to a predetermined frequency, so as to implement real-time monitoring of the state of each access node.
In the above step S104, the predetermined scheduling rule is a scheduling rule formulated by the specific policy module for various operation conditions (e.g., network failure, network operation and maintenance, overload of an access node, etc.) of the internet of things cloud platform.
In an alternative embodiment, the predetermined scheduling rule may include:
preferentially distributing the access node with the lowest current load for the intelligent equipment; or,
preferentially distributing the access node with the least current connection equipment number for the intelligent equipment.
By the scheduling rule, the current load condition of the access node can be referred to, the resources of the equipment access node can be intelligently and dynamically allocated, and the load balance is realized to the greatest extent.
Further, when the access node and the random connection waiting time are distributed to the intelligent equipment, other strategies can be flexibly adopted. Besides the current load information and the current device connection number of each access node, the current network condition of each access node, the regional information of the device to be accessed and the like can be further considered. For example, an access node with the lowest current load, good network condition and the closest geographical distance to the intelligent device is preferentially allocated to the intelligent device to be accessed.
After the first access node and the first random connection waiting time are allocated to the smart device, the information of the allocated first access node and the first random connection waiting time are returned to the smart device in step S106 above. Furthermore, the intelligent device can be connected with the first access node according to the distributed information of the first access node and the first random connection waiting time, so that the intelligent device is connected into the cloud platform of the internet of things and performs data interaction with the cloud platform of the internet of things. By distributing the random connection waiting time for the intelligent equipment, the random waiting time is generated when the intelligent equipment requests the access node, so that the problem of overhigh load of the access node when a large number of equipment are connected simultaneously is solved, and the horizontal and arbitrary extended access service can be supported.
In the above step S108, the information of the assigned first access node and the first random connection waiting time are stored in association with the smart device to which they are assigned, as device scheduling information, for reference in subsequent scheduling services.
In practical application, when the intelligent device is connected with the first access node according to the information of the distributed first access node and the first random connection waiting time, the situation of unsuccessful connection may occur; or after the intelligent device is successfully connected to the first access node, the intelligent device is disconnected (i.e., disconnected from the first access node) due to network failure, network operation and maintenance, and an excessively high load on the first access node, and at this time, the intelligent device needs to be reconnected. In particular, if a server cluster in the internet of things cloud platform is down, a large number of intelligent devices originally connected to the server cluster are all disconnected, and all the devices need to re-request the scheduling service to re-connect a new access node. If a large number of devices send scheduling and connection requests at the same time, great access pressure is brought to the scheduling devices and the access nodes.
In order to avoid the foregoing 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 drops after successfully connecting to the first access node, the device scheduling method for accessing to the internet of things on a large scale may further include:
receiving a redistribution request sent by the intelligent equipment according to the first random connection waiting time;
distributing second access nodes and second random connection waiting time for the intelligent equipment according to a preset scheduling rule, equipment scheduling information, the collected current load information of each access node and the collected current equipment connection number;
returning the information of the second access node and the second random connection waiting time to the intelligent equipment so that the intelligent equipment can be connected with the second access node according to the information of the second access node and the second random connection waiting time;
storing second access node information and second random connection waiting time distributed to the intelligent equipment as equipment scheduling information;
and analogizing in sequence until the intelligent equipment is successfully connected with an access node.
The first random connection waiting time and the second random connection waiting time mentioned above may be set according to the actual demand of the smart device for the service response and the performance of the access node of the internet of things cloud platform, and may be set to 3-4 seconds, for example.
The random waiting time is generated when the equipment re-requests the scheduling service, so that the traffic avalanche caused by network faults is avoided, and the method is particularly suitable for the situation that when a certain server cluster of a cloud platform is down, a large amount of equipment needs to be re-connected to cause a large amount of concurrent connection requests. Meanwhile, when the load of a certain access node is too high or network operation and maintenance are carried out, the equipment can be informed to readjust scheduling service, and automatic operation and maintenance of equipment access management are realized.
In order to monitor the access service of the internet of things cloud platform, in an optional embodiment, the method for scheduling the device accessing the internet of things in a large scale may further include:
and automatically registering each access node of the Internet of things cloud platform to realize real-time information acquisition and monitoring of each access node.
In the above, various implementation manners of each link of the embodiment shown in fig. 1 are introduced, and an implementation process of the device scheduling method for large-scale access to the internet of things of the present invention is described in detail through a specific embodiment.
Fig. 2 is a flowchart illustrating a device scheduling method for large-scale access to the internet of things according to an embodiment of the present invention. Referring to fig. 2, the method may include the following steps S202 to S222.
Step S202, each access node of the Internet of things cloud platform is automatically registered.
And step S204, making a preset scheduling rule for the intelligent equipment.
In this embodiment, the predetermined scheduling rule includes preferentially allocating an access node with the lowest current load to the intelligent device; or preferentially distributing the access node with the least current connection equipment number for the intelligent equipment.
And S206, acquiring the current load information and the current equipment connection number of each access node of the Internet of things cloud platform.
And step S208, when a first allocation request sent by the intelligent equipment is received, allocating a first access node and a first random connection waiting time for the intelligent equipment according to the preset scheduling rule, the acquired current load information of each access node and the current equipment connection number.
Step S210, returning the information of the first access node and the first random connection waiting time to the intelligent device, so that the intelligent device connects to the first access node according to the information of the first access node and the first random connection waiting time.
Step S212, storing 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 intelligent device fails to connect the first access node according to the information of the first access node and the first random connection waiting time, or the intelligent device drops after successfully connecting the first access node, receiving a redistribution request sent by the intelligent device according to the first random connection waiting time.
Step S216, according to the preset scheduling rule, the device scheduling information, the collected current load information of each access node and the current device connection number, second access node and second random connection waiting time are distributed to the intelligent device.
Step S218, the information of the second access node and the second random connection waiting time are returned to the intelligent device, so that the intelligent device connects to the second access node according to the information of the second access node and the second random connection waiting time.
Step S220, storing the second access node information and the second random connection waiting time allocated to the smart device as device scheduling information.
And step S222, repeating the steps until the intelligent equipment is successfully connected with an access node.
According to the method and the device, intelligent scheduling of the equipment is realized, resources of the equipment access node can be intelligently and dynamically allocated according to the current service access condition, and load balancing is realized to the greatest extent. Meanwhile, random connection waiting time is distributed to the intelligent equipment, and when the equipment requests the access node, the random waiting time exists, so that the problem of overhigh load of the access node when a large number of equipment is connected simultaneously is solved. Further, as the equipment has random waiting time when requesting the dispatching service again, the flow avalanche caused by network failure is avoided.
It should be noted that, in practical applications, all the above optional embodiments may be combined in a combined manner at will to form an optional embodiment of the present invention, and details are not described here any more.
Based on the same inventive concept, the embodiment of the invention also provides a gateway for scheduling equipment accessing the internet of things in a large scale, which is used for supporting the equipment scheduling method for accessing the internet of things in a large scale provided by any one of the embodiments or the combination thereof. Fig. 3 is 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 include at least: a monitoring module 310, a receiving module 320, an assigning module 330, a sending module 340, and a storing module 350.
The functions of the components or devices of the gateway for scheduling the equipment accessing the internet of things in a large scale and the connection relationship between the components are introduced:
and the monitoring module 310 is adapted to collect current load information and current device connection number of each access node of the internet of things cloud platform.
The receiving module 320 is adapted to receive a first allocation request sent by the smart device.
The allocating module 330 is connected to the monitoring module 310 and the receiving module 320, and adapted to allocate a first access node and a first random connection waiting time to the intelligent device according to a predetermined scheduling rule, the acquired current load information of each access node and the acquired current device connection number after the receiving module 320 receives a first allocation request sent by the intelligent device.
The sending module 340, connected to the allocating module 330, is 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 connects to the first access node according to the information of the first access node and the first random connection waiting time.
The storage module 350, connected to the allocating 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 drops after successfully connecting to the first access node, the smart device drops
The receiving module 320 is further adapted to receive a reallocation request sent by the smart device according to the first random connection waiting time;
the allocating module 330 is further adapted to allocate a second access node and a second random connection waiting time to the intelligent device according to a predetermined scheduling rule, device scheduling information, and the acquired current load information and current device connection number 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 intelligent device, so that the intelligent device connects 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 latency assigned to the smart device as device scheduling information.
The receiving module 320, the allocating module 330, the sending module 340 and the storing module 350 operate in an analogized manner until the smart device is successfully connected to an access node.
In another embodiment of the present invention, as shown in fig. 4, the gateway for scheduling devices for large-scale access to the internet of things shown in fig. 3 may further include:
the registration module 460 is connected to the monitoring module 310, and is adapted to automatically register each access node of the internet of things cloud platform, so as to realize information acquisition and monitoring of each access node by the gateway.
The predetermined scheduling rules mentioned above may be scheduling rules that are made by a specific policy module for various operation conditions of the internet of things cloud platform (e.g., network failure, network operation and maintenance, overload of a certain access node, etc.).
In an alternative embodiment, the predetermined scheduling rule may include:
preferentially distributing the access node with the lowest current load for the intelligent equipment; or,
preferentially distributing the access node with the least current connection equipment number for the intelligent equipment.
Based on the same inventive concept, the embodiment of the invention also provides a device scheduling system for large-scale access to the Internet of things. Fig. 5 is 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, a cloud platform of the internet of things, and a gateway for device scheduling for large-scale access to the internet of things, which is described in any one of the above embodiments or a combination thereof.
As shown in fig. 5, a plurality of smart devices (including smart device a, smart device B, smart device C, etc.) are connected to a gateway to request a scheduling service. The Internet of things cloud platform comprises a server cluster 1, a server cluster 2 and a plurality of server clusters. Each server cluster includes a browser server, a shadow server shadow, and a rule engine. Each access node (which can be understood as a broker server of each server cluster) of the internet of things cloud platform automatically registers in the gateway, so that the gateway can acquire and monitor information of each access node. After receiving the scheduling service request of the intelligent device, the gateway allocates an access node and random connection waiting time for the intelligent device. And then, the intelligent equipment is accessed to the Internet of things cloud platform according to the access nodes distributed by the gateway and the random connection waiting time.
Based on the same inventive concept, the embodiment of the invention also provides a computer storage medium. The computer storage medium stores computer program code, which, when run on a computing device, causes the computing device to perform the device scheduling method for large scale access to the internet of things according to any one of the above embodiments or a combination thereof.
Based on the same inventive concept, the embodiment of the invention also provides the computing equipment. The computing device may include:
a processor; and
a memory storing computer program code;
the computer program code, when executed by a processor, causes the computing device to perform a device scheduling method for large scale access to the internet of things according to any one of the above embodiments or combinations thereof.
According to any one or a combination of multiple optional embodiments, the embodiment of the present invention can achieve the following advantages:
according to the equipment scheduling method, the gateway and the system for large-scale access to the Internet of things, when a first allocation request sent by intelligent equipment is received, the first access node and the first random connection waiting time can be allocated to the intelligent equipment according to the preset scheduling rule and the collected current load information and the current equipment connection number of each access node of the cloud platform of the Internet of things, and then the intelligent equipment can be connected with the first access node according to the returned information of the first access node and the first random connection waiting time. Meanwhile, first access node information and first random connection waiting time distributed to the intelligent device are also stored as device scheduling information. By the scheduling mode, resources of the equipment access node can be intelligently and dynamically allocated according to the current access service condition, and load balancing is realized to the greatest extent. Meanwhile, random connection waiting time is distributed to the intelligent equipment, and the equipment has random waiting time when requesting to access the node, so that the problem of overhigh load of the access node when a large number of equipment are connected simultaneously is solved, and horizontal and arbitrary expansion access service can be supported.
Further, if the intelligent device fails to connect the first access node according to the information of the first access node and the first random connection waiting time or drops after the intelligent device successfully connects the first access node, the intelligent device is allowed to request the scheduling service again according to the first random connection waiting time, and then the access node and the random connection waiting time are redistributed for the intelligent device according to a preset scheduling rule, device scheduling information, current load information of each access node and the current device connection number until the intelligent device is successfully accessed. The random waiting time is generated when the equipment re-requests the scheduling service, so that the traffic avalanche caused by network faults is avoided, and the method is particularly suitable for the situation that when a certain server cluster of a cloud platform is down, a large amount of equipment needs to be re-connected to cause a large amount of concurrent connection requests. Meanwhile, when the load of a certain access node is too high or network operation and maintenance are carried out, the equipment can be informed to readjust scheduling service, and automatic operation and maintenance of equipment access management are realized.
It is clear to those skilled in the art that the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and for the sake of brevity, further description is omitted here.
In addition, the functional units in the embodiments of the present invention may be physically independent of each other, two or more functional units may be integrated together, or all the functional units may be integrated in one processing unit. The integrated functional units may be implemented in the form of hardware, or in the form of software or firmware.
Those of ordinary skill in the art will understand that: the integrated functional units, if implemented in software and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computing device (e.g., a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention when the instructions are executed. And the aforementioned storage medium includes: u disk, removable hard disk, Read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disk, and other various media capable of storing program code.
Alternatively, all or part of the steps of implementing the foregoing method embodiments may be implemented by hardware (such as a computing device, e.g., a personal computer, a server, or a network device) associated with program instructions, which may be stored in a computer-readable storage medium, and when the program instructions are executed by a processor of the computing device, the computing device executes all or part of the steps of the method according to the embodiments of the present invention.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments can be modified or some or all of the technical features can be equivalently replaced within the spirit and principle of the present invention; such modifications or substitutions do not depart from the scope of the present invention.
According to an aspect of the embodiments of the present invention, a1. an equipment scheduling method for large-scale access to the internet of things is provided, including:
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, and the acquired current load information and current equipment connection number of each access node;
returning the information of the first access node and the first random connection waiting time to the intelligent equipment so that the intelligent equipment can be connected with the first access node according to the information of the first access node 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.
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 drops after successfully connecting to the first access node, the method further includes:
receiving a redistribution request sent by the intelligent equipment according to the first random connection waiting time;
distributing second access nodes and second random connection waiting time for the intelligent equipment according to the preset scheduling rule, the equipment scheduling information, the collected current load information of each access node and the current equipment connection number;
returning the information of the second access node and the second random connection waiting time to the intelligent equipment so that the intelligent equipment can be connected with the second access node according to the information of the second access node and the second random connection waiting time;
storing second access node information and second random connection waiting time distributed to the intelligent equipment as equipment scheduling information;
and repeating the steps until the intelligent equipment is successfully connected with an access node.
A3. The device scheduling method of a1 or a2, wherein the method further comprises:
and automatically registering each access node of the Internet of things cloud platform to realize information acquisition and monitoring of each access node.
A4. The device scheduling method of any one of a1-A3, wherein the predetermined scheduling rule comprises:
preferentially distributing the access node with the lowest current load to the intelligent equipment; or,
and preferentially distributing the access node with the least current connection equipment number to the intelligent equipment.
According to another aspect of the embodiments of the present invention, there is further provided B5. a gateway for scheduling a device accessing to the internet of things in a large scale, including:
the monitoring module is suitable for collecting current load information and current equipment connection number of each access node of the Internet of things cloud platform;
the receiving module is suitable for receiving a first allocation request sent by the intelligent equipment;
the distribution module is suitable for distributing a first access node and first random connection waiting time for the intelligent equipment according to a preset scheduling rule, the collected current load information of each access node and the current equipment connection number after the receiving module receives a first distribution request sent by the intelligent equipment;
a sending module, 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 connects to the first access node according to the information of the first access node and the first random connection waiting time; and
and the storage module is suitable for storing the first access node information and the first random connection waiting time which are distributed to the intelligent equipment as equipment scheduling information.
B6. The gateway according to B5, wherein if the smart device fails to connect 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 drops after successfully connecting the first access node, the smart device drops
The receiving module is further adapted to receive a reallocation request sent by the smart device according to the first random connection waiting time;
the allocation module is further adapted to allocate a second access node and a second random connection waiting time to the intelligent device according to the predetermined scheduling rule, the device scheduling information, and the acquired current load information and current device connection number of each access node;
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 connects to the second access node according to the information of the second access node and the second random connection waiting time;
the storage module is further adapted to store second access node information and second random connection latency time assigned to the smart device as device scheduling information;
and the receiving module, the distributing module, the sending module and the storage module operate in an analogized mode in sequence until the intelligent equipment is successfully connected with an access node.
B7. The gateway of B5 or B6, further comprising:
and the registration module is suitable for automatically registering each access node of the Internet of things cloud platform so as to realize information acquisition and monitoring of each access node by the gateway.
B8. The gateway of any of B5-B7, wherein the predetermined scheduling rules comprise:
preferentially distributing the access node with the lowest current load to the intelligent equipment; or,
and preferentially distributing the access node with the least current connection equipment number to the intelligent equipment.
According to another aspect of the embodiment of the present invention, there is further provided C9. 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 a gateway for device scheduling for large-scale access to the internet of things according to any one of B5-B8, where the plurality of smart devices access to the internet of things cloud platform according to access nodes and random connection latencies allocated by the gateway.
According to yet another aspect of embodiments of the present invention, there is also provided d10 a computer storage medium storing computer program code which, when run on a computing device, causes the computing device to perform a device scheduling method for large scale access to the internet of things according to any one of a1-a 4.
According to yet another aspect of embodiments of the present invention, there is also provided an e11. a computing device, comprising:
a processor; and
a memory storing computer program code;
the computer program code, when executed by the processor, causes the computing device to perform a method of device scheduling for large scale access to the internet of things according to any of a1-a 4.
Claims (10)
1. A device scheduling method for large-scale access to the Internet of things 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, and the acquired current load information and current equipment connection number of each access node;
returning the information of the first access node and the first random connection waiting time to the intelligent equipment so that the intelligent equipment can be connected with the first access node according to the information of the first access node 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.
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 if the smart device drops after successfully connecting to the first access node, the method further comprises:
receiving a redistribution request sent by the intelligent equipment according to the first random connection waiting time;
distributing second access nodes and second random connection waiting time for the intelligent equipment according to the preset scheduling rule, the equipment scheduling information, the collected current load information of each access node and the current equipment connection number;
returning the information of the second access node and the second random connection waiting time to the intelligent equipment so that the intelligent equipment can be connected with the second access node according to the information of the second access node and the second random connection waiting time;
storing second access node information and second random connection waiting time distributed to the intelligent equipment as equipment scheduling information;
and repeating the steps until the intelligent equipment is successfully connected with an access node.
3. The device scheduling method of claim 1 or 2, wherein the method further comprises:
and automatically registering each access node of the Internet of things cloud platform to realize information acquisition and monitoring of each access node.
4. The device scheduling method according to any of claims 1-3, wherein the predetermined scheduling rule comprises:
preferentially distributing the access node with the lowest current load to the intelligent equipment; or,
and preferentially distributing the access node with the least current connection equipment number to the intelligent equipment.
5. A gateway for device scheduling for large scale access to the internet of things, comprising:
the monitoring module is suitable for collecting current load information and current equipment connection number of each access node of the Internet of things cloud platform;
the receiving module is suitable for receiving a first allocation request sent by the intelligent equipment;
the distribution module is suitable for distributing a first access node and first random connection waiting time for the intelligent equipment according to a preset scheduling rule, the collected current load information of each access node and the current equipment connection number after the receiving module receives a first distribution request sent by the intelligent equipment;
a sending module, 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 connects to the first access node according to the information of the first access node and the first random connection waiting time; and
and the storage module is suitable for storing the first access node information and the first random connection waiting time which are distributed to the intelligent equipment as equipment scheduling information.
6. The gateway of 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 if the smart device drops after successfully connecting to the first access node, the smart device drops
The receiving module is further adapted to receive a reallocation request sent by the smart device according to the first random connection waiting time;
the allocation module is further adapted to allocate a second access node and a second random connection waiting time to the intelligent device according to the predetermined scheduling rule, the device scheduling information, and the acquired current load information and current device connection number of each access node;
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 connects to the second access node according to the information of the second access node and the second random connection waiting time;
the storage module is further adapted to store second access node information and second random connection latency time assigned to the smart device as device scheduling information;
and the receiving module, the distributing module, the sending module and the storage module operate in an analogized mode in sequence until the intelligent equipment is successfully connected with an access node.
7. The gateway of claim 5 or 6, further comprising:
and the registration module is suitable for automatically registering each access node of the Internet of things cloud platform so as to realize information acquisition and monitoring of each access node by the gateway.
8. An equipment scheduling system for large-scale access to the internet of things comprises a plurality of intelligent equipment, an internet of things cloud platform and a gateway for equipment scheduling for large-scale access to the internet of things according to any one of claims 5 to 7, wherein the intelligent equipment is accessed to the internet of things cloud platform according to access nodes and random connection waiting time distributed by the gateway.
9. A computer storage medium having computer program code stored thereon, which, when run on a computing device, causes the computing device to perform the method of device scheduling for mass access to the internet of things of any of claims 1-4.
10. A computing device, comprising:
a processor; and
a memory storing computer program code;
the computer program code, when executed by the processor, causes the computing device to perform the method of device scheduling for large scale access to the internet of things of any of claims 1-4.
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