CN114844783A - Agent starting deployment system based on cloud platform computing decision - Google Patents
Agent starting deployment system based on cloud platform computing decision Download PDFInfo
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Abstract
The invention discloses a cloud platform computing decision-based agent starting deployment system which comprises an engine, a computing decision system, an arranging and scheduling system, a controller, a scheduler and node resources. The agent starting deployment system based on cloud platform computing decision provided by the invention preprocesses the dynamic topology before the deployment is not performed, thereby greatly reducing the uploading of garbage information and reducing the system pressure.
Description
Technical Field
The invention relates to the technical field of node deployment systems, in particular to a proxy starting deployment system based on cloud platform computing decision.
Background
The existing demand for video, text and other data is increasing day by day, and users are pursuing service quality more and more, in order to meet the requirements of users for high quality and large flow of data, various node resources need to be set, when the data needs to be used, the users can quickly retrieve required information, but at the present time when the information is updated day by day, the data cannot be added to corresponding nodes in time after updating and changing, the timeliness of the information is reduced, and the users adopt disordered nodes to upload, which can cause various node resources to be disordered, therefore, whether a dynamic topology request is uploaded or not needs to be calculated before the information is uploaded, and the information is arranged and deployed before uploading, so that the received dynamic topology request is transmitted to the optimal position.
Disclosure of Invention
The invention aims to provide an agent starting deployment system based on cloud platform computing decision, which preprocesses dynamic topology before deployment, greatly reduces the uploading of garbage information, reduces the system pressure, and simultaneously dispatches the dynamic topology information to corresponding data nodes after decision analysis and arrangement, so that the deployment is reasonable, retrieval and browsing are convenient, and the problems provided in the background technology are solved.
In order to achieve the purpose, the invention provides the following technical scheme: a proxy starting deployment system based on cloud platform computing decision comprises an engine, a computing decision system, an arranging and scheduling system, a controller, a scheduler and node resources, wherein the engine is interconnected with the computing decision system, the computing decision system is interconnected with the arranging and scheduling system, the arranging and scheduling system is interconnected with the controller, the controller is interconnected with the scheduler, and the scheduler is interconnected with the node resources.
Preferably, the engine sends a dynamic topology request, the engine is internally provided with a central processing unit, a resource deployment information acquisition module, a resource deployment information storage module, a resource deployment analysis module, a resource deployment feedback module and a dynamic topology request sending module, an output end of the resource deployment information acquisition module is connected with a signal input end of the central processing unit, the resource deployment information storage module, the resource deployment analysis module and the resource deployment feedback module are interconnected with the central processing unit, a signal sending end of the central processing unit is connected with a signal receiving end of the dynamic topology request sending module, the dynamic topology request sending module is interconnected with the calculation decision system, and a feedback end of the calculation decision system is interconnected with the resource deployment feedback module.
Preferably, the calculation decision system is configured to process the dynamic topology request transmitted by the engine, calculate the decision system, and send the orchestration deployment request to the orchestration scheduling system according to the dynamic topology request transmitted by the engine.
Preferably, the scheduling system is configured to acquire the final deployment node information, monitor each script according to the production resource scheduling script of the acquired node information, detect script change information in real time, schedule the latest scheduling and scheduling, and then send an upload scheduling request and an execution command to the controller.
Preferably, the controller is configured to receive a scheduling instruction and an execution request command sent by the scheduling system, and the controller sends the execution command to the scheduler after receiving the information.
Preferably, the scheduler performs resource deployment and resource check, and the scheduler acquires the execution command sent by the controller, sends a resource deployment instruction to the node resource according to the execution command, checks the resource deployment state, and returns the checked result to the scheduler.
Preferably, the node resources are used for deploying the nodes, wherein the node resources comprise electronic tags, reference nodes, data nodes and upper computer software, the electronic tags send data requests to the reference nodes, the reference nodes acquire node resource position information through signals of the electronic tags, the data nodes are transmitted to the upper computer software through a local area network, the upper computer software transmits data to the scheduler, and resource deployment results are sent to the calculation decision system.
Preferably, the controller includes a chip U1, the model of the chip U1 is CC2530, the pin 39 of the chip U1 is connected in series with the capacitor C208 and grounded, the input end of the capacitor C208 is connected in parallel with the inductor L201 and grounded, the pin 10 of the chip U1 is connected in series with the capacitor C207 and grounded, the input end of the capacitor C207 is connected in parallel with the output end of the inductor L201, the pin 21 of the chip U1 is connected in series with the capacitor C206 and grounded, the input end of the capacitor C206 is connected in parallel with the input end of the inductor L201, the pin 24 of the chip U1 is connected in series with the capacitor C205 and grounded, the input end of the capacitor C205 is connected in parallel with the input end of the inductor L201, the pin 27, the pin 28 and the pin 29 of the chip U1 are connected in series with the capacitor C204 and grounded, the input end of the capacitor C204 is connected in parallel with the input end of the inductor L201, the pin 31 of the chip U1 is connected in series with the capacitor C202 and grounded, the input end of the capacitor C202 and grounded, the inductor L201 and grounded, the output end of the inductor L201 and grounded, the capacitor C201 and grounded, the pin 32 of the chip U1 is connected in series with the capacitor C214, pin 33 of chip U1 is serially connected to capacitor C213 for grounding, the input of capacitor C213 is connected to oscillator Y2 and the input of capacitor C214 in parallel, pin 22 of chip U1 is serially connected to capacitor C212 for grounding, pin 23 of chip U1 is serially connected to capacitor C211 for grounding, the input of capacitor C211 is connected to oscillator Y1 and the input of capacitor C212 in parallel, pin 40 of chip U1 is serially connected to capacitor C210 for grounding, pin 30 of chip U1 is grounded from indirect resistor R202, pin 41 of chip U1 is grounded, the serially connected capacitor C209 of chip U1 is grounded, and the input of capacitor C209 is connected to resistor R201 for receiving power supply VDD.
Preferably, the controller is externally connected with a wireless transmission module, the wireless transmission module includes a chip U2, the model number of the chip U2 is CC2592, pin 2 of the chip U2 is connected with pin 25 of the chip U1, pin 3 of the chip U2 is connected with pin 26 of the chip U1, pin 16 and pin 17 of the chip U2 are connected with pin 1, pin 13, pin 14 and pin 15 of the chip U2 are connected with a power supply terminal VDD, an output terminal of the power supply terminal VDD is electrically connected with pin 10 of the chip U2 in series through an inductor L103, an input terminal of the inductor L103 is connected with a capacitor C1058 in ground, an output terminal of the capacitor C105 is connected with an output terminal of the power supply terminal VDD in parallel through a capacitor C107, an output terminal of the capacitor C107 is connected with an input terminal of the capacitor C105 in parallel, pin 11 and pin 12 of the chip U2 are connected with an output terminal of the capacitor C107, pin 10 of the chip U2 is connected with a capacitor C104 in series through a capacitor C104 in ground, an output terminal of the inductor L103 is sequentially connected with an inductor L102, an inductor L101 and a signal receiving and receiving terminal E1, the input end of the inductor L101 is connected with the capacitor C103 in parallel and is grounded, the input end of the capacitor C101 is connected with the capacitor C102 in parallel and is grounded, a pin 5 of the chip U2 is connected with a resistor R104 in series and is connected with a pin 7 of the chip U1, a pin 6 of the chip U2 is connected with a resistor R103 in series and is connected with a pin 8 of the chip U1, a pin 7 of the chip U2 is connected with a resistor R102 in series and is connected with a pin 19 of the chip U1, and a pin 8 of the chip U2 is connected with a resistor R101 in series and is grounded.
Preferably, the scheduler is internally provided with a wireless transceiver module, the wireless transceiver module comprises a chip U3, a pin 18 of the chip U3 is connected to an input end of a resistor R6, an output end of the resistor R6 is connected with an external power supply input and is connected to an input end of a resistor R7, and an output end of the resistor R7 is grounded; pin 16 and pin 17 of the chip U3 are connected to the signal transceiving end of the scheduler.
Compared with the prior art, the invention has the beneficial effects that: the agent starting deployment system based on cloud platform computing decision provided by the invention preprocesses the dynamic topology before deployment, thereby greatly reducing the uploading of garbage information and reducing the system pressure.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a flow chart of node deployment training of the present invention;
FIG. 3 is a logical relationship diagram of a transmit dynamic topology of the present invention;
FIG. 4 is a schematic diagram of the present invention;
FIG. 5 is a diagram of the electronic tag information feedback of the present invention;
FIG. 6 is a functional diagram of the controller of the present invention;
fig. 7 is a schematic diagram of the operation of the wireless transmission module of the present invention;
fig. 8 is a schematic diagram of the operation of the wireless transceiver module of the present invention.
In the figure: 1. an engine; 2. calculating a decision making system; 3. arranging and scheduling systems; 4. a controller; 5. a scheduler; 6. a node resource; 7. a wireless transmission module; 8. and a wireless transceiving module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1 to 8, an agent startup deployment system based on cloud platform computing decision includes an engine 1, a computing decision system 2, an orchestration scheduling system 3, a controller 4, a scheduler 5, and a node resource 6, where the engine 1 is interconnected with the computing decision system 2, the computing decision system 2 is interconnected with the orchestration scheduling system 3, the orchestration scheduling system 3 is interconnected with the controller 4, the controller 4 is interconnected with the scheduler 5, and the scheduler 5 is interconnected with the node resource 6.
As a further scheme of the invention: the engine 1 sends a dynamic topology request, a central processing unit, a resource deployment information acquisition module, a resource deployment information storage module, a resource deployment analysis module, a resource deployment feedback module and a dynamic topology request sending module are arranged in the engine 1, an output end of the resource deployment information acquisition module is connected with a signal input end of the central processing unit, the resource deployment information storage module, the resource deployment analysis module and the resource deployment feedback module are interconnected with the central processing unit, a signal sending end of the central processing unit is connected with a signal receiving end of the dynamic topology request sending module, the dynamic topology request sending module is interconnected with a calculation decision system 2, and a feedback end of the calculation decision system 2 is interconnected with the resource deployment feedback module.
As a further scheme of the invention: the calculation decision system 2 is configured to process the dynamic topology request transmitted by the engine 1, calculate the decision system 2, and send an orchestration deployment request to the orchestration scheduling system 3 according to the dynamic topology request transmitted by the engine 1.
By adopting the technical scheme, the calculation decision system 2 receives the resource deployment information fed back by the scheduler 5, judges whether the received dynamic topology request has the arranging and deploying value according to the real-time received updated resource information, and sends the arranging and deploying request to the arranging and scheduling system 3 when the received dynamic topology request has the arranging and deploying value, and feeds back information to the engine 1 when the received dynamic topology request does not have the arranging and deploying value, so that a user can know that the dynamic topology request does not pass.
As a further scheme of the invention: the scheduling system 3 is configured to obtain the final deployment node information, monitor each script according to the production resource scheduling scripts of the obtained node information, detect script change information in real time, schedule the latest scheduling and scheduling, and then send an upload scheduling request and an execution command to the controller 4.
As a further scheme of the invention: the controller 4 is configured to receive the scheduling instruction and the execution request command sent by the scheduling system 3, and the controller 4 sends the execution command to the scheduler 5 after receiving the information.
As a further scheme of the invention: the scheduler 5 performs resource deployment and resource check, and the scheduler 5 acquires the execution command sent by the controller 4, sends a resource deployment instruction to the node resource 6 according to the execution command, checks the resource deployment state, and returns the checked result to the scheduler 5.
As a further scheme of the invention: the node resources 6 are used for deploying the nodes, wherein the node resources 6 comprise electronic tags, reference nodes, data nodes and upper computer software, the electronic tags send data requests to the reference nodes, the reference nodes acquire position information of the node resources 6 through signals of the electronic tags, the data nodes are transmitted to the upper computer software through a local area network, the upper computer software transmits data to a scheduler, and resource deployment results are sent to the calculation decision system 2.
By adopting the technical scheme, the electronic tag is internally provided with the unique ID, the RSSI signal characteristic is utilized to send a data request to the nearby reference node, the reference node calculates the distance of the tag and then returns the distance to the tag together with the ID of the reference node, the tag can obtain the current position reference value, the real-time value is periodically collected and compared with the stored value, whether the node resource position deployment is abnormal or not is judged, and when the node resource deployment is abnormal, the tag sends an alarm state. The sending of the electronic tag data actively reports the current electronic tag position information in the form of 'head + electronic tag address + reference contact + data node number'; the data is 88+ AABBCCDD + AABB +00, wherein 88 is the data header; the AABBCCDD is a hexadecimal label ID, the ID has uniqueness, the reference node is responsible for receiving a data request sent by the electronic label, then the current position is calculated according to the signal intensity and returned to the electronic label, and the deployment state of the node resource position is judged; the data node adopts a ZIGBEE wireless communication protocol, a CC2530 chip is used as a main control, data received by the CC2530 is transmitted to the serial port-to-wireless transceiver module 8 through a serial port, and the received electronic tag data is directly transmitted to an upper computer of the local area network by the wireless transceiver module 8 in a wireless mode; the data node is responsible for receiving the data of the adjacent label, then directly transmits the data to the serial port-to-wireless transceiver module 8 through the serial port, and returns the data to the upper computer.
As a further scheme of the invention: as shown in fig. 5, the controller 4 includes a chip U1, a chip U1 is of a type CC2530, a pin 39 of the chip U1 is serially connected to a capacitor C208 and a ground, an input terminal of the capacitor C208 is serially connected to an inductor L201 and a power supply terminal VDD, a pin 10 of the chip U1 is serially connected to a capacitor C207 and a ground, an input terminal of the capacitor C207 is serially connected to an output terminal of the inductor L201, a pin 21 of the chip U1 is serially connected to a capacitor C206 and a ground, an input terminal of the capacitor C206 is serially connected to an input terminal of the inductor L201, a pin 24 of the chip U1 is serially connected to a ground, an input terminal of the capacitor C205 is serially connected to an input terminal of the inductor L201, a pin 27, a pin 28 and a pin 29 of the chip U1 are serially connected to a capacitor C204 and a ground, an input terminal of the capacitor C204 is serially connected to an input terminal of the inductor L201, a pin 31 of the chip U1 is serially connected to a capacitor C202 and a ground, an input terminal of the capacitor C202 and a ground, an output terminal of the inductor L201 is serially connected to a capacitor C201 and a ground, a pin 32 of the chip U1 is serially connected to a ground, pin 33 of chip U1 is serially connected to capacitor C213 for grounding, the input of capacitor C213 is connected to oscillator Y2 and the input of capacitor C214 in parallel, pin 22 of chip U1 is serially connected to capacitor C212 for grounding, pin 23 of chip U1 is serially connected to capacitor C211 for grounding, the input of capacitor C211 is connected to oscillator Y1 and the input of capacitor C212 in parallel, pin 40 of chip U1 is serially connected to capacitor C210 for grounding, pin 30 of chip U1 is grounded from indirect resistor R202, pin 41 of chip U1 is grounded, the serially connected capacitor C209 of chip U1 is grounded, and the input of capacitor C209 is connected to resistor R201 for receiving power supply VDD.
As a further scheme of the invention: as shown in fig. 6, the controller 4 is externally connected with a wireless transmission module 7, the wireless transmission module 7 includes a chip U2, the model number of the chip U2 is CC2592, pin 2 of the chip U2 is connected with pin 25 of the chip U1, pin 3 of the chip U2 is connected with pin 26 of the chip U1, pin 16 and pin 17 of the chip U2 are connected with pin 1, pin 13, pin 14 and pin 15 of the chip U2 are connected with a power supply terminal VDD, the output terminal of the power supply terminal is electrically connected with pin 10 of the chip U2 in series with an inductor L103 connected with the capacitor C1058 in parallel to ground, the output terminal of the capacitor C105 is connected with the output terminal of the power supply terminal VDD in parallel with a capacitor C107, the output terminal of the capacitor C107 is connected with the input terminal of the capacitor C106 in parallel with the input terminal of the capacitor C105, pin 11 and pin 12 of the chip U2 are connected with the output terminal of the capacitor C107, pin 10 of the capacitor C104 of the chip U2 is connected with ground, the output terminal of the inductor C104 in series with the output terminal of the capacitor L103 in series with the capacitor L102, the inductor L101 and the capacitor C86101 and the capacitor C1 in series with the output terminal of the capacitor C101, the input end of the inductor L101 is connected with the capacitor C103 in parallel and is grounded, the input end of the capacitor C101 is connected with the capacitor C102 in parallel and is grounded, a pin 5 of the chip U2 is connected with a resistor R104 in series and is connected with a pin 7 of the chip U1, a pin 6 of the chip U2 is connected with a resistor R103 in series and is connected with a pin 8 of the chip U1, a pin 7 of the chip U2 is connected with a resistor R102 in series and is connected with a pin 19 of the chip U1, and a pin 8 of the chip U2 is connected with a resistor R101 in series and is grounded.
By adopting the technical scheme, the feedback information sent by the wireless transceiving module 8 is received through the signal transceiving terminal E1, and the feedback information is uploaded to the controller 4.
As a further scheme of the invention: as shown in fig. 7, the scheduler 5 is internally provided with a wireless transceiver module 8, the wireless transceiver module 8 includes a chip U3, a pin 18 of the chip U3 is connected to an input end of a resistor R6, an output end of the resistor R6 is connected to an external power input and to an input end of a resistor R7, and an output end of the resistor R7 is grounded; the pins 16 and 17 of the chip U3 are connected to the signal transceiving end of the scheduler 5.
By adopting the above technical solution, the UTX port and the URT port of the chip U3 are used for being connected to the scheduler 5, receiving the information transmitted by the scheduler 5 and sending the received information to the scheduler 5, and then communicating with the signal transceiver terminal E1 connected to the chip U2 through the 20 pins and the 21 pins, receiving the instruction information transmitted by the wireless transmission module 7, and feeding back the scheduling information to the controller 4.
Referring to fig. 1 and 3, the agent starting deployment system based on cloud platform computing decision-making is characterized in that a user sends a dynamic topology request, a resource deployment information acquisition module acquires node resource deployment information in real time and receives feedback information of resource deployment after real-time updating, the user uploads information needing topology to a central processing unit, the central processing unit receives the uploaded topology information and then transmits the information to a resource deployment analysis module so as to judge the value and timeliness of the uploaded topology information, when the uploaded topology value is, the information is stored in a resource deployment information storage module, a decision-making system 2 is computed through the dynamic topology request sending module, and the uploading of garbage and useless information is greatly reduced through the operations; the calculation decision system 2 judges whether the received dynamic topology request has value, when the received dynamic topology request has value, the calculation decision system sends an arranging and deploying request to the arranging and scheduling system 3, the arranging and scheduling system 3 starts to arrange the dynamic topology information after receiving the arranging and scheduling request, the dynamic topology information is arranged according to the finally obtained node information and a production resource arranging script, the scheduling request is uploaded to the controller 4 after arranging, the controller 4 receives the request, the received dynamic topology information is processed and then sends an execution command to the scheduler 5, the scheduler 5 receives the information and then sends a command to the node resource 6, the node resource 6 adopts the upper computer software to arrange the dynamic topology information into a corresponding data node according to the arranging and scheduling information, and when the arrangement is finished, the upper computer software feeds back a deployment result to the calculation decision system 2, after receiving the feedback information, the calculation decision system 2 feeds back the scheduling state of the dynamic topology information to the engine 1, so that the user can know the state of the dynamic topology request processing in time by the engine 1; meanwhile, the scheduler 5 detects the state of the node resource 6 information in real time and feeds the state back to the calculation decision system 2, the calculation decision system 2 feeds the state of the node resource information 6 back to the engine 1, and a user can know the state of the dynamic topology request processing in time by the engine 1 and can search the information of the node resource 6 conveniently.
As can be seen from fig. 2, each dynamic topology information addition is a training, that is, a dynamic topology request is added to a task, the computation decision system 2 adds the dynamic topology request to a joint training task, the engine 1 checks at the resource algorithm level according to the long list to obtain a short list, requests the DT computation decision system 2 of the controller 4 for the long list, adds the dynamic topology task, and performs checking to avoid updating the list due to interruption or change of other nodes, returns the resource node long list after successful addition, then sends a deployment request to the deployment scheduling system 3, performs deployment after the deployment is successful, returns a deployment result to the deployment scheduling system 3, synchronizes the deployment result to update data in real time to ensure the accuracy of the next joint training, uploads the scheduling request to the controller 4 after the deployment is successful, after receiving the request, the controller 4 processes the received dynamic topology information and sends an execution command to the scheduler 5, the scheduler 5 receives the information and sends an instruction to the node resource 6, and the node resource 6 deploys the dynamic topology information to the corresponding data node by adopting upper computer software according to the scheduling information.
In summary, in the cloud platform computing decision-based agent-initiated deployment system provided by the present invention, a user sends a dynamic topology request, after an engine 1 performs a preliminary search process on a dynamic topology, the dynamic topology request sending module calculates the decision system 2, the calculation decision system 2 again determines whether the received dynamic topology request has a value, when the determination has the value, the dynamic topology request sending module sends an orchestration deployment request to the orchestration scheduling system 3, the orchestration scheduling system 3 performs orchestration on dynamic topology information, uploads the orchestration request to the controller 4 after the orchestration, the controller 4 receives the request, sends an execution command to the scheduler 5, the scheduler 5 sends a command to the node resource 6, the node resource 6 deploys the dynamic topology information to a corresponding data node by using the upper computer software according to the orchestration scheduling information, and when the deployment is completed, the deployment result is fed back to the calculation decision system 2 by the upper computer software, when the calculation decision system 2 feeds back to the engine 1, the user can know the state of the dynamic topology request processing in time by the engine 1; the dynamic topology is integrally preprocessed in deployment, uploading of junk information is greatly reduced, system pressure is reduced, and meanwhile, after decision analysis and arrangement are carried out on the dynamic topology information, the dynamic topology information is dispatched to corresponding data nodes, so that the dynamic topology is reasonable in deployment and convenient to retrieve and browse.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (10)
1. The agent starting deployment system based on cloud platform computing decision is characterized by comprising an engine (1), a computing decision system (2), an arranging and scheduling system (3), a controller (4), a scheduler (5) and node resources (6), wherein the engine (1) is interconnected with the computing decision system (2), the computing decision system (2) is interconnected with the arranging and scheduling system (3), the arranging and scheduling system (3) is interconnected with the controller (4), the controller (4) is interconnected with the scheduler (5), and the scheduler (5) is interconnected with the node resources (6).
2. The cloud platform computing decision-based agent initiated deployment system of claim 1, the engine (1) sends a dynamic topology request, a central processing unit, a resource deployment information acquisition module, a resource deployment information storage module, a resource deployment analysis module, a resource deployment feedback module and a dynamic topology request sending module are arranged in the engine (1), the output end of the resource deployment information acquisition module is connected with the signal input end of the central processing unit, the resource deployment information storage module, the resource deployment analysis module and the resource deployment feedback module are interconnected with the central processing unit, the signal sending end of the central processing unit is connected with the signal receiving end of the dynamic topology request sending module, the dynamic topology request sending module is interconnected with the calculation decision system (2), and the feedback end of the calculation decision system (2) is interconnected with the resource deployment feedback module.
3. The agent-initiated deployment system based on cloud platform computing decision as claimed in claim 1, wherein the computing decision system (2) is configured to process the dynamic topology request transmitted by the engine (1), compute the decision system (2), and send the orchestration deployment request to the orchestration scheduling system (3) according to the dynamic topology request transmitted by the engine (1).
4. The agent-initiated deployment system based on cloud platform computing decisions as claimed in claim 1, wherein the orchestration scheduling system (3) is configured to obtain final deployment node information, monitor each script according to a production resource orchestration script of the obtained node information, detect script change information in real time, orchestrate latest scheduling orchestration, and then send an upload scheduling request and an execution command to the controller (4).
5. The agent-initiated deployment system based on cloud platform computing decision as claimed in claim 1, wherein the controller (4) is configured to receive the scheduling instruction and the execution request command sent by the orchestration scheduling system (3), and the controller (4) sends the execution command to the scheduler (5) after receiving the information.
6. The agent-initiated deployment system based on cloud platform computing decision as claimed in claim 1, wherein the scheduler (5) performs resource deployment and resource check, the scheduler (5) obtains the execution command sent by the controller (4), sends a resource deployment instruction to the node resource (6) according to the execution command, checks the resource deployment status, and returns the checked result to the scheduler (5).
7. The agent starting deployment system based on the cloud platform computing decision as claimed in claim 1, wherein the node resources (6) are used for deploying each node, the node resources (6) comprise electronic tags, reference nodes, data nodes and upper computer software, the electronic tags send data requests to the reference nodes, the reference nodes acquire position information of the node resources (6) through signals of the electronic tags, the data nodes are transmitted to the upper computer software through a local area network, the data are transmitted to the scheduler through the upper computer software, and resource deployment results are sent to the computing decision system (2).
8. The cloud platform computing decision-based agent boot deployment system of claim 1, wherein the controller (4) comprises a chip U1, a chip U1 is CC2530 in type, a pin 39 of the chip U1 is connected in series with a capacitor C208 and grounded, an input terminal of the capacitor C208 is connected in parallel with an inductor L201 and connected with a power supply terminal VDD, a pin 10 of the chip U1 is connected in series with a capacitor C207 and grounded, an input terminal of the capacitor C207 is connected in parallel with an output terminal of the inductor L201, a pin 21 of the chip U1 is connected in series with a capacitor C206 and grounded, an input terminal of the capacitor C206 is connected in parallel with an input terminal of the inductor L201, a pin 24 of the chip U1 is connected in series with a capacitor C205 and grounded, an input terminal of the capacitor C205 is connected in parallel with an input terminal of the inductor L201, a pin 27, a pin 28 and a pin 29 of the chip U1 are connected in series with a capacitor C204 and grounded, an input terminal of the capacitor C203 and an input terminal of the inductor L201 and connected in parallel with a pin 31 of the chip U1 and grounded, an input terminal of the capacitor C202 and connected in series with an inductor L201, the output end of the inductor L201 is grounded in parallel with a capacitor C201, a pin 32 of a chip U1 is grounded in series with a capacitor C214, a pin 33 of a chip U1 is grounded in series with a capacitor C213, the input end of the capacitor C213 is grounded in parallel with the input end of an oscillator Y2 and the input end of the capacitor C214, a pin 22 of the chip U1 is grounded in series with a capacitor C212, a pin 23 of a chip U1 is grounded in series with a capacitor C211, the input end of the capacitor C211 is grounded in parallel with an oscillator Y1 and the input end of the capacitor C212, a pin 40 of the chip U1 is grounded in series with a capacitor C210, a pin 30 of the chip U1 is grounded from an indirect resistor R202, a pin 41 of the chip U1 is grounded, a serial capacitor C209 of the chip U1 is grounded, and an input end of the capacitor C209 is grounded in parallel with a resistor R201.
9. The cloud platform computing decision-based agent boot deployment system according to claim 1, wherein the controller (4) is externally connected with a wireless transmission module (7), the wireless transmission module (7) comprises a chip U2, the model of the chip U2 is CC2592, the pin 2 of the chip U2 is connected with the pin 25 of the chip U1, the pin 3 of the chip U2 is connected with the pin 26 of the chip U1, the pins 16 and 17 of the chip U2 are connected with the pin 1, the pin 13, the pin 14 and the pin 15 of the chip U2 are connected with a power supply terminal VDD, the output terminal of the power supply terminal VDD is electrically connected with the pin 10 of the chip U2 in series connection with an inductor L103, the input terminal of the inductor L103 is connected with the capacitor C1058 in ground, the output terminal of the capacitor C105 is connected with the output terminal of the power supply terminal VDD in parallel connection with the capacitor C107, the output terminal of the pin 11 and the pin 12 of the capacitor C105 are connected with the input terminal of the chip U2 in parallel connection, the pin 10 of the chip U2 is connected with the capacitor C104 in series connection with ground, the output end of the inductor L103 is sequentially connected with an inductor L102, an inductor L101 and a capacitor C101 to be connected with a signal transceiving terminal E1, the input end of the inductor L101 is connected with the capacitor C103 in parallel and is grounded, the input end of the capacitor C101 is connected with the capacitor C102 in parallel and is grounded, a pin 5 series resistor R104 of the chip U2 is connected with a pin 7 of the chip U1, a pin 6 series resistor R103 of the chip U2 is connected with a pin 8 of the chip U1, a pin 7 series resistor R102 of the chip U2 is connected with a pin 19 of the chip U1, and a pin 8 series resistor R101 of the chip U2 is grounded.
10. The cloud platform computing decision-based agent-initiated deployment system according to claim 1, wherein the scheduler (5) is internally provided with a wireless transceiver module (8), the wireless transceiver module (8) comprises a chip U3, a pin 18 of the chip U3 is connected to an input end of a resistor R6, an output end of the resistor R6 is connected to an external power supply input and to an input end of a resistor R7, and an output end of the resistor R7 is grounded; pin 16 and pin 17 of the chip U3 are connected to the signal transceiving end of the scheduler (5).
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204291046U (en) * | 2014-11-09 | 2015-04-22 | 王波 | A kind of tele-control system of intelligent terminal |
| CN104618164A (en) * | 2015-02-12 | 2015-05-13 | 北京航空航天大学 | Management method for rapid cloud computing platform application deployment |
| US20170289060A1 (en) * | 2016-04-04 | 2017-10-05 | At&T Intellectual Property I, L.P. | Model driven process for automated deployment of domain 2.0 virtualized services and applications on cloud infrastructure |
| WO2018006163A1 (en) * | 2016-07-06 | 2018-01-11 | Teloip Inc. | System and method for providing a control plane for quality of service |
| CN109099968A (en) * | 2018-07-31 | 2018-12-28 | 中国地质大学（武汉） | A kind of Multiparameter water quality monitoring system based on ZigBee wireless sensor network |
| CN109450667A (en) * | 2018-10-12 | 2019-03-08 | 北京邮电大学 | Motion management method and device based on network function virtualization |
| CN110297641A (en) * | 2019-06-25 | 2019-10-01 | 四川长虹电器股份有限公司 | Layout dispositions method is applied based on kubernetes |
| CN111147555A (en) * | 2019-12-13 | 2020-05-12 | 苏州博纳讯动软件有限公司 | Heterogeneous resource mixed arrangement method |
| CN111562966A (en) * | 2020-04-28 | 2020-08-21 | 北京航空航天大学 | Resource arrangement method of man-machine-object fusion cloud computing platform |
| CN111626532A (en) * | 2019-02-28 | 2020-09-04 | 湖南师范大学 | Intelligent scheduling method for steelmaking production plan based on big data rule self-learning |
-
2021
- 2021-01-14 CN CN202110049180.2A patent/CN114844783B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204291046U (en) * | 2014-11-09 | 2015-04-22 | 王波 | A kind of tele-control system of intelligent terminal |
| CN104618164A (en) * | 2015-02-12 | 2015-05-13 | 北京航空航天大学 | Management method for rapid cloud computing platform application deployment |
| US20170289060A1 (en) * | 2016-04-04 | 2017-10-05 | At&T Intellectual Property I, L.P. | Model driven process for automated deployment of domain 2.0 virtualized services and applications on cloud infrastructure |
| WO2018006163A1 (en) * | 2016-07-06 | 2018-01-11 | Teloip Inc. | System and method for providing a control plane for quality of service |
| CN109099968A (en) * | 2018-07-31 | 2018-12-28 | 中国地质大学（武汉） | A kind of Multiparameter water quality monitoring system based on ZigBee wireless sensor network |
| CN109450667A (en) * | 2018-10-12 | 2019-03-08 | 北京邮电大学 | Motion management method and device based on network function virtualization |
| CN111626532A (en) * | 2019-02-28 | 2020-09-04 | 湖南师范大学 | Intelligent scheduling method for steelmaking production plan based on big data rule self-learning |
| CN110297641A (en) * | 2019-06-25 | 2019-10-01 | 四川长虹电器股份有限公司 | Layout dispositions method is applied based on kubernetes |
| CN111147555A (en) * | 2019-12-13 | 2020-05-12 | 苏州博纳讯动软件有限公司 | Heterogeneous resource mixed arrangement method |
| CN111562966A (en) * | 2020-04-28 | 2020-08-21 | 北京航空航天大学 | Resource arrangement method of man-machine-object fusion cloud computing platform |
Non-Patent Citations (3)
| Title |
|---|
| MARK SZALAY等: "Demo Abstract: Turning OpenStack into a Fog Orchestrator", 《IEEE INFOCOM 2019 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS)》 * |
| 朱小亮: "基于容器引擎的云平台设计与实现", 《CNKI优秀硕士学位论文全文库》 * |
| 袁誉红;杨洁;张学平;金俊丽;: "WSN中基于云计算的动态频率分配研究", 电信科学, no. 05 * |
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