CN114371919A - Mass data smooth scheduling system, method and medium based on multi-Agent - Google Patents
Mass data smooth scheduling system, method and medium based on multi-Agent Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/48—Program initiating; Program switching, e.g. by interrupt
- G06F9/4806—Task transfer initiation or dispatching
- G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
- G06F9/4881—Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/4557—Distribution of virtual machine instances; Migration and load balancing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/45595—Network integration; Enabling network access in virtual machine instances
Abstract
The invention discloses a system, a method and a medium for smoothly scheduling mass data based on a multi-Agent, wherein the method comprises the following steps: the first equipment management module is used for carrying out login authentication on the first Internet of things terminal; receiving first data uploaded by a first Internet of things terminal through a first equipment access module and determining first data to be scheduled and first local data; decoding the first local data by the first device management module; the first data to be scheduled are sent to a second equipment management module through a first Agent module and a second Agent module; and decoding the first data to be scheduled through the second equipment management module and returning a first command to the first Internet of things terminal according to a decoding result. The method and the system reduce the business calculation pressure of a single cluster node of the equipment management platform of the Internet of things, and ensure the stability of the equipment management platform of the Internet of things. The method can be widely applied to the technical field of data processing of the Internet of things.
Description
Technical Field
The invention relates to the technical field of data processing of the Internet of things, in particular to a system, a method and a medium for smoothly scheduling mass data based on a multi-Agent.
Background
The internet of things equipment management platform provides access service for the equipment, and needs to provide an IP (Internet protocol) or domain name address, configure an address for the equipment and send data to the internet of things platform. With the gradual increase of the number of the devices in the internet of things, the platform provides access service for the mass devices in a single-node deployment mode, and when a large computing pressure is met, the service sharing is realized and the computing pressure is reduced by deploying a plurality of nodes. The deployment of a plurality of platform nodes means that a plurality of IP or domain name addresses are provided, but the deployment of the Internet of things equipment is relatively dispersed, and higher manpower and material resources are consumed for modifying the equipment configuration address. Therefore, for the deployed devices, under the condition that the access addresses of the devices are not modified, smooth scheduling of services among a plurality of nodes needs to be realized, and the phenomenon that the devices are accessed to a single node in a centralized manner, which causes excessive computing pressure on a certain node, is avoided.
To avoid the heavy computation of the high load of a single node, the pressure needs to be reduced by deploying a new node. The way of transferring the device of the accessed node to the new node by modifying its configuration address has great drawbacks: the deployment of the internet of things equipment has the characteristic of high dispersity, and for equipment which has accessed to a node, once the deployment is completed and the equipment is put into operation, the replacement of a configuration address means loss in income, and huge manpower and financial resources are consumed in the process. Meanwhile, the node pressures in different areas change along with the change of the number of the devices in the internet of things, and the problem of unbalanced pressure of different nodes cannot be fundamentally solved by replacing the configuration addresses of the device end.
Therefore, with the increase of the number of the internet of things devices, how to implement smooth scheduling of device access among multiple nodes on an internet of things platform deployed by multiple nodes so as to implement service sharing and reduce the pressure of single-node service calculation becomes a difficult problem to be solved urgently.
Disclosure of Invention
The present invention aims to solve at least to some extent one of the technical problems existing in the prior art.
Therefore, an object of the embodiments of the present invention is to provide a massive data smooth scheduling system based on a multi-Agent, which can reduce the computation pressure of a single-node service.
The embodiment of the invention also aims to provide a mass data smooth scheduling method based on the multi-Agent.
In order to achieve the technical purpose, the technical scheme adopted by the embodiment of the invention comprises the following steps:
in a first aspect, an embodiment of the present invention provides a mass data smooth scheduling system based on a multi-Agent, including an internet of things device management platform and a plurality of internet of things terminals, where the internet of things device management platform includes a first cluster and a second cluster, the first cluster includes a first device access module, a first device management module and a first Agent module, the second cluster includes a second device management module and a second Agent module, the first device access module is configured to receive first data uploaded by a first internet of things terminal and determine first data to be scheduled and first local data, the first device management module is configured to perform login authentication on the first internet of things terminal and decode the first local data, and the first Agent module is configured to forward the first data to be scheduled to the second Agent module, the second Agent module is used for sending the first data to be scheduled to the second equipment management module, and the second equipment management module is used for decoding the first data to be scheduled and returning a first command to the first Internet of things terminal according to a decoding result.
Further, in an embodiment of the present invention, the first device access module includes:
the data transmission unit is used for accessing the first Internet of things terminal and receiving first data uploaded by the first Internet of things terminal through a CoAPS/MQTTS protocol;
and the data distribution unit is used for determining first data to be scheduled and first local data according to the calculated pressure of the first cluster and the first data, sending the first data to be scheduled to the first Agent module, and sending the first local data to the first equipment management module.
Further, in an embodiment of the present invention, the first device management module includes:
the authentication unit is used for performing login authentication on the first Internet of things terminal accessed by the equipment access unit;
the decoding unit is used for decoding the first local data sent by the data distribution unit and generating a second command according to a decoding result;
and the command issuing unit is used for issuing the first command returned by the second equipment management module and the second command generated by the decoding unit to the first Internet of things terminal.
Further, in an embodiment of the present invention, the first Agent module includes:
the data distribution unit is used for distributing the first data to be scheduled to the data distribution unit;
and the data forwarding unit is used for forwarding the first data to be scheduled to the second Agent module through an IOAmqp protocol.
Further, in an embodiment of the present invention, the second Agent module includes:
the data receiving unit is used for receiving the first data to be scheduled forwarded by the data forwarding unit;
the equipment synchronization unit is used for carrying out equipment information synchronization on the first Internet of things terminal according to the first data to be scheduled;
and the command forwarding unit is used for sending the first command returned by the second equipment management module to the command issuing unit.
Further, in an embodiment of the present invention, the second cluster further includes a second device access module, the second device access module is configured to receive second data uploaded by a second networked terminal and determine second data to be scheduled and second local data, and the second device management module is further configured to perform login authentication on the second networked terminal and decode the second local data.
Further, in an embodiment of the present invention, the first cluster and the second cluster each further include an API gateway module, and the API gateway module is configured to share and synchronize device information of the terminals of the internet of things.
In a second aspect, an embodiment of the present invention provides a method for smoothly scheduling mass data based on a multi-Agent, where the method for smoothly scheduling mass data is executed by an internet of things device management platform, the internet of things device management platform includes a first cluster and a second cluster, the first cluster includes a first device access module, a first device management module, and a first Agent module, the second cluster includes a second device management module and a second Agent module, and the method for smoothly scheduling mass data includes the following steps:
the first equipment management module is used for carrying out login authentication on the first Internet of things terminal;
receiving first data uploaded by the first Internet of things terminal through the first equipment access module and determining first data to be scheduled and first local data;
decoding, by the first device management module, the first local data;
sending the first data to be scheduled to the second equipment management module through the first Agent module and the second Agent module;
and decoding the first data to be scheduled through the second equipment management module and returning a first command to the first Internet of things terminal according to a decoding result.
In a third aspect, an embodiment of the present invention provides a massive data smooth scheduling apparatus based on a multi-Agent, including:
at least one processor;
at least one memory for storing at least one program;
when the at least one program is executed by the at least one processor, the at least one processor is enabled to implement the mass data smooth scheduling method based on the multi-Agent.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, in which a processor-executable program is stored, and when the processor-executable program is executed by a processor, the processor-executable program is configured to perform the foregoing method for smoothly scheduling mass data based on a multi-Agent.
Advantages and benefits of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention:
the embodiment of the invention determines the data to be scheduled and the local data through the access module of the original cluster node equipment, the marked data to be scheduled is forwarded through the Agent module and then forwarded to the Agent module of another cluster node, the data decoding is carried out through the equipment management module on the other cluster node, and the command is sent back to the equipment management module of the original cluster node, then the data is sent to the corresponding terminal of the Internet of things, thereby reducing the service calculation pressure of the original cluster node under the condition of not changing the equipment configuration, the method and the system can realize free and smooth scheduling of mass data among different cluster nodes and service processing of the access device among the different cluster nodes, reduce the service calculation pressure of a single cluster node of the Internet of things device management platform, effectively ensure the stability of the Internet of things device management platform and improve the service calculation efficiency of the Internet of things device management platform.
Drawings
In order to more clearly illustrate the technical solution in the embodiment of the present invention, the following description is made on the drawings required to be used in the embodiment of the present invention, and it should be understood that the drawings in the following description are only for convenience and clarity of describing some embodiments in the technical solution of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart illustrating steps of a method for smoothly scheduling mass data based on a multi-Agent according to an embodiment of the present invention;
fig. 2 is a block diagram of a structure of a mass data smooth scheduling system based on a multi-Agent according to an embodiment of the present invention;
fig. 3 is a block diagram of a structure of a massive data smooth scheduling apparatus based on a multi-Agent according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention. The step numbers in the following embodiments are provided only for convenience of illustration, the order between the steps is not limited at all, and the execution order of each step in the embodiments can be adapted according to the understanding of those skilled in the art.
In the description of the present invention, the meaning of a plurality is two or more, if there is a description to the first and the second for the purpose of distinguishing technical features, it is not understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features or implicitly indicating the precedence of the indicated technical features. Furthermore, unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art.
Referring to fig. 2, an embodiment of the present invention provides a mass data smooth scheduling system based on a multi-Agent, including an internet of things device management platform and a plurality of internet of things terminals, where the internet of things device management platform includes a first cluster and a second cluster, the first cluster includes a first device access module, a first device management module and a first Agent module, the second cluster includes a second device management module and a second Agent module, the first device access module is configured to receive first data uploaded by the first internet of things terminal and determine first data to be scheduled and first local data, the first device management module is configured to log in and authenticate the first internet of things terminal and decode the first local data, the first Agent module is configured to forward the first data to be scheduled to the second Agent module, the second Agent module is configured to send the first data to be scheduled to the second device management module, the second equipment management module is used for decoding the first data to be scheduled and returning a first command to the first Internet of things terminal according to a decoding result.
Specifically, the embodiment of the invention comprises an Internet of things terminal, an Internet of things equipment management platform and an Internet of things private network core network. The method comprises the steps that an Internet of things terminal is attached to a network, a core network establishes session bearing, an IP address is distributed to the terminal at the same time, and the terminal reports data information after acquiring the IP address; the internet of things private network core network is configured according to a destination IP address accessed by the terminal, and for the terminal accessing the internet of things equipment management platform, the terminal accesses the internet of things equipment management platform through a CoAPS/MQTTS protocol; the Internet of things equipment management platform accesses the equipment management service to perform login authentication and data decoding, reports equipment data to be scheduled, releases the equipment data through kafka, and consumes the equipment data through the Agent module; and through data transmission between the new cluster Agent module and the old cluster Agent module, the synchronization equipment information of the new cluster node equipment platform is subjected to authentication, data decoding and command issuing, and the old cluster node equipment management platform issues a command and transmits the command back to the Internet of things terminal through the appointed CIG.
According to the embodiment of the invention, the service calculation pressure of the original cluster node is reduced under the condition that the equipment configuration is not required to be changed, the free and smooth scheduling of mass data among different cluster nodes and the service processing of the access equipment among different cluster nodes can be realized, the service calculation pressure of a single cluster node of the equipment management platform of the Internet of things is reduced, the stability of the equipment management platform of the Internet of things is effectively ensured, and the service calculation efficiency of the equipment management platform of the Internet of things is improved.
As a further optional implementation manner, the first device access module includes:
the data transmission unit is used for accessing the first Internet of things terminal and receiving first data uploaded by the first Internet of things terminal through a CoAPS/MQTTS protocol;
and the data distribution unit is used for determining first data to be scheduled and first local data according to the calculated pressure of the first cluster and the first data, sending the first data to be scheduled to the first Agent module, and sending the first local data to the first equipment management module.
As a further optional implementation manner, the first device management module includes:
the authentication unit is used for performing login authentication on the first Internet of things terminal accessed by the equipment access unit;
the decoding unit is used for decoding the first local data sent by the data distribution unit and generating a second command according to a decoding result;
and the command issuing unit is used for issuing a first command returned by the second equipment management module and a second command generated by the decoding unit to the first Internet of things terminal.
As a further optional implementation manner, the first Agent module includes:
the data issuing unit is used for reporting and issuing the first data to be scheduled sent by the data distributing unit;
and the data forwarding unit is used for forwarding the first data to be scheduled to the second Agent module through the IOAmqp protocol.
As a further optional implementation manner, the second Agent module includes:
the data receiving unit is used for receiving the first data to be scheduled forwarded by the data forwarding unit;
the equipment synchronization unit is used for carrying out equipment information synchronization on the first Internet of things terminal according to the first data to be scheduled;
and the command forwarding unit is used for sending the first command returned by the second equipment management module to the command issuing unit.
Referring to fig. 2, as a further optional implementation manner, the second cluster further includes a second device access module, the second device access module is configured to receive second data uploaded by the second networked terminal and determine second data to be scheduled and second local data, and the second device management module is further configured to perform login authentication on the second networked terminal and decode the second local data.
Referring to fig. 2, as a further optional implementation manner, the first cluster and the second cluster each further include an API gateway module, where the API gateway module is configured to share and synchronize device information of the terminal of the internet of things.
The system structure of the embodiment of the present invention is introduced above, and the specific operation flow of the embodiment of the present invention is further described below with reference to a specific embodiment.
1) As shown in fig. 2, a first internet of things terminal is accessed to a first device access module through IP1, and data reporting is performed through a CoAPS/MQTTS protocol;
2) the first equipment management module performs login authentication and data decoding on the first Internet of things terminal;
3) reporting data to be scheduled, issuing information through kafka, and transmitting the information to a first Agent module;
4) the first Agent module forwards data to be scheduled to a second Agent module of a second cluster through an IOAmqp protocol;
5) the second device management module of the second cluster synchronizes the device information through the second Agent module, and can also process the second networking terminal accessed by the IP2 for authentication and data decoding;
6) the second equipment management module issues a command and transmits the command back to the first equipment management module through the second Agent module, and the command is issued to the first Internet of things terminal through the appointed CIG, so that the calculation pressure of the first cluster is reduced;
7) each internet of things terminal and the API gateway of each cluster can synchronously acquire a product list and equipment information.
It can be realized that the increase of the internet of things equipment on a single node brings great computational pressure to the equipment management platform, and the replacement of the configuration addresses of the equipment accessed to the original node one by one according to the traditional scheme is difficult to implement and consumes great manpower and material resources. Aiming at the problem, the embodiment of the invention provides a mode for realizing scheduling and transferring of mass data among clusters based on multi-Agent agents, data transmitted by a terminal is forwarded between the Agent modules through a device access module, and a device management module on another node is used for processing the data, so that smooth scheduling of the mass data can be realized without changing the device configuration.
Referring to fig. 1, an embodiment of the present invention provides a mass data smooth scheduling method based on a multi-Agent, where the mass data smooth scheduling method is executed by an internet of things device management platform, the internet of things device management platform includes a first cluster and a second cluster, the first cluster includes a first device access module, a first device management module, and a first Agent module, the second cluster includes a second device management module and a second Agent module, and the mass data smooth scheduling method includes the following steps:
s101, login authentication is carried out on a first Internet of things terminal through a first equipment management module;
s102, receiving first data uploaded by a first Internet of things terminal through a first equipment access module, and determining first data to be scheduled and first local data;
s103, decoding the first local data through the first equipment management module;
s104, sending the first data to be scheduled to a second equipment management module through a first Agent module and a second Agent module;
and S105, decoding the first data to be scheduled through the second equipment management module and returning a first command to the first Internet of things terminal according to a decoding result.
The contents in the system embodiments are all applicable to the method embodiments, the functions specifically realized by the method embodiments are the same as the system embodiments, and the beneficial effects achieved by the method embodiments are also the same as the beneficial effects achieved by the system embodiments.
Referring to fig. 3, an embodiment of the present invention provides a massive data smooth scheduling apparatus based on a multi-Agent, including:
at least one processor;
at least one memory for storing at least one program;
when the at least one program is executed by the at least one processor, the at least one processor is enabled to implement the mass data smooth scheduling method based on the multi-Agent.
The contents in the above method embodiments are all applicable to the present apparatus embodiment, the functions specifically implemented by the present apparatus embodiment are the same as those in the above method embodiments, and the advantageous effects achieved by the present apparatus embodiment are also the same as those achieved by the above method embodiments.
The embodiment of the invention also provides a computer-readable storage medium, wherein a program executable by a processor is stored, and the program executable by the processor is used for executing the mass data smooth scheduling method based on the multi-Agent when being executed by the processor.
The computer-readable storage medium of the embodiment of the invention can execute the mass data smooth scheduling method based on the multi-Agent provided by the embodiment of the method of the invention, can execute any combination implementation steps of the embodiment of the method, and has corresponding functions and beneficial effects of the method.
The embodiment of the invention also discloses a computer program product or a computer program, which comprises computer instructions, and the computer instructions are stored in a computer readable storage medium. The computer instructions may be read by a processor of a computer device from a computer-readable storage medium, and executed by the processor to cause the computer device to perform the method illustrated in fig. 1.
In alternative embodiments, the functions/acts noted in the block diagrams may occur out of the order noted in the operational illustrations. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality/acts involved. Furthermore, the embodiments presented and described in the flow charts of the present invention are provided by way of example in order to provide a more thorough understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented herein. Alternative embodiments are contemplated in which the order of various operations is changed and in which sub-operations described as part of larger operations are performed independently.
Furthermore, although the present invention is described in the context of functional modules, it should be understood that, unless otherwise stated to the contrary, one or more of the above-described functions and/or features may be integrated in a single physical device and/or software module, or one or more of the functions and/or features may be implemented in a separate physical device or software module. It will also be appreciated that a detailed discussion of the actual implementation of each module is not necessary for an understanding of the present invention. Rather, the actual implementation of the various functional modules in the apparatus disclosed herein will be understood within the ordinary skill of an engineer, given the nature, function, and internal relationship of the modules. Accordingly, those skilled in the art can, using ordinary skill, practice the invention as set forth in the claims without undue experimentation. It is also to be understood that the specific concepts disclosed are merely illustrative of and not intended to limit the scope of the invention, which is defined by the appended claims and their full scope of equivalents.
The above functions, if implemented in the form of software functional units and sold or used as a separate 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 computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above method according to the embodiments of the present invention. And 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 various media capable of storing program codes.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Further, the computer readable medium could even be paper or another suitable medium upon which the above described program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the foregoing description of the specification, reference to the description of "one embodiment/example," "another embodiment/example," or "certain embodiments/examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
While the preferred embodiments of the present invention have been illustrated and described, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A mass data smooth scheduling system based on multi-Agent is characterized in that: the Internet of things equipment management platform comprises a first cluster and a second cluster, the first cluster comprises a first equipment access module, a first equipment management module and a first Agent module, the second cluster comprises a second equipment management module and a second Agent module, the first equipment access module is used for receiving first data uploaded by a first Internet of things terminal and determining first data to be scheduled and first local data, the first equipment management module is used for logging in and authenticating the first Internet of things terminal and decoding the first local data, the first Agent module is used for forwarding the first data to be scheduled to the second Agent module, and the second Agent module is used for sending the first data to be scheduled to the second equipment management module, the second equipment management module is used for decoding the first data to be scheduled and returning a first command to the first internet of things terminal according to a decoding result.
2. The mass data smooth scheduling system based on multi-Agent according to claim 1, wherein the first device access module comprises:
the data transmission unit is used for accessing the first Internet of things terminal and receiving first data uploaded by the first Internet of things terminal through a CoAPS/MQTTS protocol;
and the data distribution unit is used for determining first data to be scheduled and first local data according to the calculated pressure of the first cluster and the first data, sending the first data to be scheduled to the first Agent module, and sending the first local data to the first equipment management module.
3. The mass data smooth scheduling system based on multi-Agent according to claim 2, wherein the first device management module comprises:
the authentication unit is used for performing login authentication on the first Internet of things terminal accessed by the equipment access unit;
the decoding unit is used for decoding the first local data sent by the data distribution unit and generating a second command according to a decoding result;
and the command issuing unit is used for issuing the first command returned by the second equipment management module and the second command generated by the decoding unit to the first Internet of things terminal.
4. The mass data smooth scheduling system based on multi-Agent as claimed in claim 3, wherein the first Agent module comprises:
the data distribution unit is used for distributing the first data to be scheduled to the data distribution unit; and the data forwarding unit is used for forwarding the first data to be scheduled to the second Agent module through an IOAmqp protocol.
5. The mass data smooth scheduling system based on multi-Agent according to claim 4, characterized in that: the second Agent module comprises:
the data receiving unit is used for receiving the first data to be scheduled forwarded by the data forwarding unit;
the equipment synchronization unit is used for carrying out equipment information synchronization on the first Internet of things terminal according to the first data to be scheduled;
and the command forwarding unit is used for sending the first command returned by the second equipment management module to the command issuing unit.
6. The mass data smooth scheduling system based on multi-Agent according to claim 1, characterized in that: the second cluster further comprises a second device access module, the second device access module is used for receiving second data uploaded by a second networking terminal and determining second data to be scheduled and second local data, and the second device management module is further used for performing login authentication on the second networking terminal and decoding the second local data.
7. The mass data smooth scheduling system based on multi-Agent according to any one of claims 1 to 6, characterized in that: the first cluster and the second cluster both further comprise API gateway modules, and the API gateway modules are used for sharing and synchronizing the equipment information of the Internet of things terminal.
8. The mass data smooth scheduling method based on the multi-Agent is characterized by being executed through an Internet of things equipment management platform, the Internet of things equipment management platform comprises a first cluster and a second cluster, the first cluster comprises a first equipment access module, a first equipment management module and a first Agent module, the second cluster comprises a second equipment management module and a second Agent module, and the mass data smooth scheduling method comprises the following steps:
the first equipment management module is used for carrying out login authentication on the first Internet of things terminal;
receiving first data uploaded by the first Internet of things terminal through the first equipment access module and determining first data to be scheduled and first local data;
decoding, by the first device management module, the first local data;
sending the first data to be scheduled to the second equipment management module through the first Agent module and the second Agent module;
and decoding the first data to be scheduled through the second equipment management module and returning a first command to the first Internet of things terminal according to a decoding result.
9. A mass data smooth scheduling device based on multi-Agent is characterized by comprising:
at least one processor;
at least one memory for storing at least one program;
when the at least one program is executed by the at least one processor, the at least one processor is enabled to implement the mass data smooth scheduling method based on the multi-Agent according to claim 8.
10. A computer readable storage medium in which a processor-executable program is stored, wherein the processor-executable program, when executed by a processor, is configured to perform a method for smooth scheduling of mass data based on a multi-Agent according to claim 8.
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|---|---|---|---|
| CN202111494478.0A CN114371919A (en) | 2021-12-08 | 2021-12-08 | Mass data smooth scheduling system, method and medium based on multi-Agent |
| PCT/CN2021/140443 WO2023103097A1 (en) | 2021-12-08 | 2021-12-22 | Multi-agent mass data smooth scheduling system and method, and medium |
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| CN202111494478.0A CN114371919A (en) | 2021-12-08 | 2021-12-08 | Mass data smooth scheduling system, method and medium based on multi-Agent |
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| US8965921B2 (en) * | 2012-06-06 | 2015-02-24 | Rackspace Us, Inc. | Data management and indexing across a distributed database |
| CN106161552A (en) * | 2015-04-16 | 2016-11-23 | 国家电网公司 | Load-balancing method and system under a kind of mass data environment |
| US10541925B2 (en) * | 2017-08-31 | 2020-01-21 | Microsoft Technology Licensing, Llc | Non-DSR distributed load balancer with virtualized VIPS and source proxy on load balanced connection |
| CN109145053B (en) * | 2018-08-01 | 2021-03-23 | 创新先进技术有限公司 | Data processing method and device, client and server |
| US11102125B2 (en) * | 2019-06-27 | 2021-08-24 | Citrix Systems, Inc. | Securing communications between services in a cluster using load balancing systems and methods |
| US11360822B2 (en) * | 2019-09-12 | 2022-06-14 | Bank Of America Corporation | Intelligent resource allocation agent for cluster computing |
| CN111641583B (en) * | 2020-04-07 | 2021-09-03 | 北京邮电大学 | Internet of things resource access system and resource access method |
| WO2021205212A1 (en) * | 2020-04-08 | 2021-10-14 | Telefonaktiebolaget Lm Ericsson (Publ) | Traffic controller for cloud native deployment |
| CN112714164A (en) * | 2020-12-22 | 2021-04-27 | 北京国电通网络技术有限公司 | Internet of things system and task scheduling method thereof |
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