CN115225450A - Multi-data machine room virtualization cluster management system based on edge computing - Google Patents

Multi-data machine room virtualization cluster management system based on edge computing Download PDF

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Publication number
CN115225450A
CN115225450A CN202211140731.7A CN202211140731A CN115225450A CN 115225450 A CN115225450 A CN 115225450A CN 202211140731 A CN202211140731 A CN 202211140731A CN 115225450 A CN115225450 A CN 115225450A
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data
edge
room
machine room
management
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林业盛
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Nanjing Aitaike Internet Of Things Technology Co ltd
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Nanjing Aitaike Internet Of Things Technology Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/04Network management architectures or arrangements
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00Data switching networks
    • H04L12/28Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
    • H04L12/46Interconnection of networks
    • H04L12/4641Virtual LANs, VLANs, e.g. virtual private networks [VPN]

Abstract

The invention discloses a multi-data machine room virtualization cluster management system based on edge computing, which comprises a management terminal, a virtual local area network and an edge computing module, wherein the management terminal is connected with the virtual local area network; the management terminal is used for unified calculation and management of the data computer room; the virtual local area network is used for establishing communication among the data rooms; and the edge calculation module is used for creating edge nodes, storing the creation information of the edge nodes and realizing the regulation and control of each data machine room. According to the invention, through the virtualized cluster management, each machine room slave machine can independently exist, independently calculate and independently work, an upper-layer platform is not required to be relied on, the step of upper-layer platform construction can be omitted, the work of other machine rooms can not be influenced even if one machine room is down, the virtualized cluster management system is used for directly managing, the clusters are not mutually relied on, the labor division is clear, and the development efficiency is greatly improved.

Description

Edge computing-based multi-data machine room virtualization cluster management system
Technical Field
The invention relates to the technical field of communication, in particular to a multi-data computer room virtualization cluster management system based on edge computing.
Background
Machine room: the old time is a general name of workplaces and production units of the manual and silk cotton weaving industry; now a computer study room; in the IT industry, a machine room generally refers to a place where a server is stored to provide IT services for users and employees, such as telecommunications, internet communications, mobile, two-wire, electric power, and government or enterprise.
The existing data machine room is connected with all subordinate machine rooms through an upper server platform for management, and all data processing needs to transmit data to an upper host computer firstly, unified data processing is carried out on the host computer, results are returned to slave computers, the slave computers display the results, the load pressure of the host computer is greatly increased, bug cannot be quickly positioned, all the slave computers stop working when the host computer is down, and the host computer needs to be adapted to all the slave computers, so that a large amount of cost and time cost are needed for constructing the host computer.
In the prior art, the technology of independently calculating and independently working each machine room slave machine by using virtualization cluster management is not perfect, so that the technical problem is solved by providing a multi-data machine room virtualization cluster management system based on edge calculation.
Disclosure of Invention
Aiming at the problems in the related art, the invention provides a multi-data computer room virtualization cluster management system based on edge computing, so as to overcome the technical problems in the prior related art.
Therefore, the invention adopts the following specific technical scheme:
a multidata computer room virtualization cluster management system based on edge computing comprises a management terminal, a virtual local area network and an edge computing module;
the management terminal is used for unified calculation and management of the data machine room;
the virtual local area network is used for establishing communication among the data rooms;
and the edge computing module is used for creating edge nodes, storing the creation information of the edge nodes and realizing the regulation and control of each data machine room.
Further, the management terminal comprises a PC terminal and an APP terminal;
the PC end is used for a user to directly control the computer and realize software and hardware cooperation integrated architecture management;
the APP terminal is used for providing an internet access for the user on the mobile device.
Further, the method for the user to directly operate the computer and realize software and hardware cooperation integrated architecture management further comprises the following steps:
describing the embedded system by using a computer language according to the function and performance requirements of the embedded system to be realized, and constructing a system model;
and designing the system model by using a simulated annealing combined algorithm, realizing the functional division of software and hardware, and calculating and updating the optimal solution of the data computer room.
Further, the designing the system model by using the simulated annealing and combining algorithm further comprises the following steps:
carrying out short-time Fourier transform on the collected information of each data machine room, and obtaining the time-frequency state of the information of each data machine room;
determining the initial state of each data machine room in a time-frequency state;
finding out points where all candidate t-1 moment frequency values are located near the point where the t moment frequency value is located, and sequentially replacing the values of the t-1 moment initial state with the conversion values at the points where the candidate t-1 moment frequency values are located to generate new data machine room states;
comparing the new conversion value of each data room state with the initial state of each data room to obtain the conversion quantity of each data room state change, selecting Metropolis acceptance criterion to accept each new data room state, finding out the point where the candidate t-1 time frequency value corresponding to the data room state and the data room state with the maximum conversion value are located, and taking the point as the estimated value of the point where the t-1 time frequency value is located;
according to the estimated value of the point of the frequency value at the t-1 moment, the estimated value of the point of the frequency value at the t-2 moment is obtained, and the instantaneous frequency at all the moments is estimated according to the rule;
and fitting according to the estimated instantaneous frequency, eliminating errors of a local data room and unifying the management of the data room.
Further, the virtual local area network includes a machine room a, a machine room B, a machine room C, a machine room D, and a machine room E.
Further, the method for establishing communication between the data rooms further comprises the following steps:
setting a fixed IP address in each data machine room;
each data machine room device broadcasts respective network information;
configuring a corresponding IP address, attaching a TCP/IP handshake mechanism, and realizing the preliminary self-organization of each data machine room device;
setting a secret key in each data machine room device, and performing authority verification mutually;
load calling configuration is carried out on each data computer room device, heartbeat detection is sent at regular time, and downtime is prevented;
and drawing the malicious access of the data rooms into a blacklist, and sharing the blacklist in each data room.
Further, the configuring of the corresponding IP address and the attaching of the TCP/IP handshake mechanism to realize the preliminary self-organization of each data equipment room further include the following steps:
timing handshake, master-slave negotiation, master-slave switching, database access and real-time data synchronization or quasi-real-time data synchronization are carried out among all the data machine rooms through synchronous network ports, wherein a service network port of a master database server provides database service for the outside by using a virtual IP address, a service network port of a slave machine does not provide the database service for the outside, and a database client accesses the master data machine room by adopting a TCP protocol through the virtual IP address.
Further, the load calling configuration of each data machine room device, and the sending of heartbeat detection at regular time, for preventing downtime, includes the following steps:
load calling configuration is carried out on each data machine room device, and detection electrocardiograms of each data machine room are provided;
enhancing the detected electrocardiogram signal to generate a processed signal;
detecting a first peak of the processed signal, and defining peaks after the first peak as a second peak, wherein the second peak is larger than a first threshold;
and according to the second peak, whether the detected heartbeat exists near the first peak or not is known.
Further, the edge calculation module comprises an edge controller, an edge manager, a management node and a metadata storage;
the edge controller is used for acquiring the creation information of the edge node from the metadata storage;
the edge manager is used for the management node to create an edge node;
the metadata storage is used for storing the creation information of the edge node;
the management node is configured to create information for indicating that the edge node belongs to the management node.
Further, the method for creating edge nodes, storing the creation information of the edge nodes, and realizing the regulation and control of each data room further comprises the following steps:
the edge controller establishes long connection with the management node according to the creation information;
the edge controller monitors resource metadata attributed to the edge node in the management node according to the long connection;
when the resource metadata changes, the edge controller sends a notification message to the edge node;
the notification message is used for indicating the changed data of the resource metadata;
when an edge node is restarted offline, a Kubelet contained in the edge node acquires the resource metadata and the change data;
and the edge node recovers operation by using the resource metadata and the change data.
The beneficial effects of the invention are as follows:
1. according to the invention, through the virtualized cluster management, each machine room slave machine can independently exist, independently calculate and independently work, the dependence on an upper-layer platform is not required, the step of upper-layer platform construction can be omitted, the work of other machine rooms can not be influenced even if one machine room is down, the management is directly carried out through the virtualized cluster management system, IP distribution is not required to be carried out through routing, additional software deployment is not required, only the management is carried out in the same network segment, and certainly, clusters have certain calculation redundancy compared with a uniform upper-layer service platform, but the clusters do not depend on each other, the division of labor is clear, and the development efficiency is greatly improved.
2. The invention can independently complete subsequent ad-hoc network operation only in a unified local area network without routing equipment, has simple configuration, realizes quick ad-hoc network connection and high decoupling, realizes unified management of multiple data machine rooms in different places, virtualizes cluster management, does not need to additionally build an upper layer centralized management platform, improves development efficiency, independently operates each machine room, reduces operation and maintenance cost, and realizes real-time management on multiple terminals.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic block diagram of a multiple data room virtualization cluster management system based on edge computing according to an embodiment of the present invention.
In the figure:
1. a management terminal; 11. a PC terminal; 12. an APP terminal; 2. a virtual local area network; 21. a, a machine room; 22. b, a machine room; 23. c, a machine room; 24. d, a machine room; 25. e, a machine room; 3. an edge calculation module; 31. an edge controller; 32. an edge manager; 33. storing the metadata; 34. and managing the nodes.
Detailed Description
For further explanation of the various embodiments, the drawings which form a part of the disclosure and which are incorporated in and constitute a part of this specification, illustrate embodiments and, together with the description, serve to explain the principles of operation of the embodiments, and to enable one skilled in the art to understand the embodiments and advantages of the disclosure for reference and without scale, wherein elements are not shown in the drawings and like reference numerals are used to refer to like elements generally.
According to the embodiment of the invention, a multi-data computer room virtualization cluster management system based on edge computing is provided.
Referring to the drawings and the detailed description, the present invention is further described, as shown in fig. 1, according to an embodiment of the present invention, a multiple data computer room virtualization cluster management system based on edge computing includes a management terminal 1, a virtual local area network 2, and an edge computing module 3;
the management terminal 1 is used for unified calculation and management of a data computer room;
in one embodiment, the management terminal includes a PC terminal 11 (computer terminal) and an APP terminal 12 (mobile terminal);
the PC terminal 11 is used for a user to directly operate a computer and realize software and hardware cooperation integrated architecture management;
the APP end 12 is configured to provide an internet access for a user on a mobile device;
in one embodiment, the method for a user to directly operate a computer and realize software and hardware cooperation integrated architecture management further comprises the following steps:
describing the embedded system by using a computer language according to the function and performance requirements of the embedded system to be realized, and constructing a system model;
designing the system model by using a simulated annealing combined algorithm, realizing the functional division of software and hardware, and calculating and updating the optimal solution of the data computer room;
in one embodiment, the designing the system model by using simulated annealing and combining algorithm further comprises the following steps:
carrying out short-time Fourier transform on the collected information of each data machine room, and obtaining the time-frequency state of the information of each data machine room;
determining the initial state of each data machine room in a time-frequency state;
finding out points where all candidate t-1 moment frequency values are located near the point where the t moment frequency value is located, and sequentially replacing the values of the t-1 moment initial state with the conversion values at the points where the candidate t-1 moment frequency values are located to generate new data machine room states;
comparing the new conversion value of each data room state with the initial state of each data room to obtain the conversion quantity of each data room state change, selecting Metropolis acceptance criterion (accepting the new state by probability) to accept each new data room state, finding out the point where the candidate t-1 moment frequency value corresponding to the data room state with the maximum conversion value is located, and taking the point as the estimated value of the point where the t-1 moment frequency value is located;
according to the estimation value of the point where the frequency value of the t-1 moment is located, the estimation value of the point where the frequency value of the t-2 moment is located is obtained, and the instantaneous frequency of all moments is estimated according to the rule;
and fitting according to the estimated instantaneous frequency, eliminating errors of a local data room and unifying the management of the data room.
The virtual local area network 2 is used for establishing communication among the data rooms;
in one embodiment, the virtual local area network includes an a room 21, a B room 22, a C room 23, a D room 24, and an E room 25.
In one embodiment, the method for establishing communication between data rooms further includes the following steps:
setting a fixed IP address in each data machine room;
broadcasting respective network information by each data machine room device;
configuring a corresponding IP address, attaching a TCP/IP handshake mechanism, and realizing the preliminary self-organization of each data machine room device;
setting a secret key in each data machine room device, and performing authority verification mutually;
load calling configuration is carried out on each data computer room device, heartbeat detection is sent at regular time, and downtime is prevented;
and drawing the malicious access of the data rooms into a blacklist, and sharing the blacklist in each data room.
In one embodiment, the configuring a corresponding IP address and attaching a TCP/IP handshake mechanism to implement the preliminary self-organization of each data equipment room further includes:
timing handshake, master-slave negotiation, master-slave switching, database access and real-time data synchronization or quasi-real-time data synchronization are carried out among all the data machine rooms through synchronous network ports, wherein a service network port of a master database server provides database service for the outside by using a virtual IP address, a service network port of a slave machine does not provide the database service for the outside, and a database client accesses the master data machine room by adopting a TCP protocol through the virtual IP address.
In an embodiment, the performing load call configuration on each data room device, and sending heartbeat detection at regular time, wherein preventing downtime well includes the following steps:
load calling configuration is carried out on each data machine room device, and detection electrocardiograms of each data machine room are provided;
enhancing the detected electrocardiogram signal to generate a processed signal;
detecting a first peak of the processed signal, and defining peaks after the first peak as a second peak, wherein the second peak is larger than a first threshold;
and according to the second peak, whether the detected heartbeat exists near the first peak or not is known.
The edge calculation module 3 is configured to create edge nodes, store creation information of the edge nodes, and implement regulation and control of each data room.
In one embodiment, the edge calculation module 3 includes an edge controller 31, an edge manager 32, a management node 34, and a metadata store 33;
the edge controller 31 is configured to obtain creation information of the edge node from the metadata storage;
the edge manager 32 is configured to create an edge node by the management node;
the metadata storage 33 is used for storing the creation information of the edge node;
the management node 34 is configured to create information for indicating that the edge node belongs to the management node.
In one embodiment, the method for creating edge nodes, storing creation information of the edge nodes, and implementing regulation and control of each data room further includes the following steps:
the edge controller establishes long connection with the management node according to the establishment information;
the edge controller monitors resource metadata attributed to the edge node in the management node according to the long connection;
when the resource metadata changes, the edge controller sends a notification message to the edge node;
the notification message is used for indicating the change data of the resource metadata;
when an edge node is restarted offline, a Kubernet (Kubernets is a distributed cluster and consists of a management node (Master-node) and a node (node). The Master-node mainly runs core components such as an application programming interface server (api server), a scheduler (scheduler), a controller (controller) and a memory (etcd), and the node mainly runs components such as a kubel and the like to obtain the resource metadata and the change data;
and the edge node recovers operation by using the resource metadata and the change data.
In summary, with the aid of the technical solutions of the present invention, subsequent ad hoc network operation can be independently completed only in a unified local area network without routing devices, configuration is simple, fast ad hoc network connection and high decoupling are realized, unified management of multiple data machine rooms in different places is realized, virtualized cluster management is realized, an upper centralized management platform is not required to be additionally built, development efficiency is improved, each machine room operates independently, operation and maintenance costs are reduced, and real-time management is realized in multiple terminals (computers and mobile phones).
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (8)

1. A multidata computer lab virtualization cluster management system based on edge computing is characterized in that the system comprises a management terminal, a virtual local area network and an edge computing module;
the management terminal is used for unified calculation and management of the data computer room;
the virtual local area network is used for establishing communication among the data rooms;
the edge computing module is used for creating edge nodes, storing the creation information of the edge nodes and realizing the regulation and control of each data machine room;
the management terminal comprises a PC terminal and an APP terminal;
the PC end is used for a user to directly control the computer and realize software and hardware cooperation integrated architecture management;
the APP terminal is used for providing an internet access for a user on the mobile equipment;
the method for directly controlling the computer by the user and realizing software and hardware cooperation integrated architecture management further comprises the following steps:
describing the embedded system by using a computer language according to the function and performance requirements of the embedded system to be realized, and constructing a system model;
and designing the system model by using a simulated annealing combined algorithm, realizing the functional division of software and hardware, and calculating and updating the optimal solution of the data computer room.
2. The system for virtual cluster management of multiple data rooms based on edge computing as claimed in claim 1, wherein the step of designing the system model by using simulated annealing and combining algorithm further comprises the following steps:
carrying out short-time Fourier transform on the collected data machine room information, and obtaining the time-frequency state of the data machine room information;
determining the initial state of each data machine room in a time-frequency state;
finding out points where all candidate t-1 moment frequency values are located near the point where the t moment frequency value is located, and sequentially replacing the values of the t-1 moment initial state with the conversion values at the points where the candidate t-1 moment frequency values are located to generate new data machine room states;
comparing the new conversion value of each data room state with the initial state of each data room to obtain the conversion quantity of each data room state change, selecting Metropolis acceptance criterion to accept each new data room state, finding out the point where the candidate t-1 time frequency value corresponding to the data room state and the data room state with the maximum conversion value are located, and taking the point as the estimated value of the point where the t-1 time frequency value is located;
according to the estimated value of the point of the frequency value at the t-1 moment, the estimated value of the point of the frequency value at the t-2 moment is obtained, and the instantaneous frequency at all the moments is estimated according to the rule;
and fitting according to the estimated instantaneous frequency, eliminating errors of a local data room and unifying the management of the data room.
3. The system according to claim 1, wherein the virtual local area network comprises a machine room a, a machine room B, a machine room C, a machine room D, and a machine room E.
4. The system of claim 3, wherein the means for establishing communication between data kiosks further comprises:
setting a fixed IP address in each data machine room;
each data machine room device broadcasts respective network information;
configuring a corresponding IP address, attaching a TCP/IP handshake mechanism, and realizing the preliminary self-organization of each data machine room device;
setting a secret key in each data machine room device, and performing authority verification mutually;
load calling configuration is carried out on each data machine room device, heartbeat detection is sent at regular time, and downtime is prevented;
and drawing the malicious access of the data rooms into a blacklist, and sharing the blacklist in each data room.
5. The system according to claim 4, wherein the configuring of the corresponding IP address and the attaching of a TCP/IP handshake mechanism to implement the preliminary self-organization of each data room device further comprises:
timing handshake, master-slave negotiation, master-slave switching, database access and real-time data synchronization or quasi-real-time data synchronization are carried out among all the data machine rooms through synchronous network ports, wherein a service network port of a master database server provides database service for the outside by using a virtual IP address, a service network port of a slave machine does not provide the database service for the outside, and a database client accesses the master data machine room by adopting a TCP protocol through the virtual IP address.
6. The system for managing multiple data room virtualization clusters based on edge computing as claimed in claim 5, wherein the step of configuring load call to each data room device, sending heartbeat detection periodically, and preventing downtime comprises the following steps:
load calling configuration is carried out on each data machine room device, and detection electrocardiograms of each data machine room are provided;
enhancing the detected electrocardiogram signal to generate a processed signal;
detecting a first peak of the processed signal, and defining a peak after the first peak as a second peak, wherein the second peak is larger than a first threshold value;
and according to the second peak, whether the detected heartbeat exists near the first peak or not is known.
7. The system for edge-computing-based multiple data room virtualization cluster management of claim 1, wherein the edge computing module comprises an edge controller, an edge manager, a management node, and a metadata store;
the edge controller is used for acquiring the creation information of the edge node from the metadata storage;
the edge manager is used for creating an edge node by the management node;
the metadata storage is used for storing the creation information of the edge node;
the management node is configured to create information for indicating that the edge node belongs to the management node.
8. The system of claim 7, wherein the system for creating edge nodes, storing creation information of the edge nodes, and implementing regulation and control of each data room further comprises the following steps:
the edge controller establishes long connection with the management node according to the creation information;
the edge controller monitors resource metadata attributed to the edge node in the management node according to the long connection;
when the resource metadata changes, the edge controller sends a notification message to the edge node;
the notification message is used for indicating the changed data of the resource metadata;
when an edge node is restarted in an off-line mode, a Kubelet contained in the edge node acquires the resource metadata and the change data;
and the edge node recovers operation by using the resource metadata and the change data.
CN202211140731.7A 2022-09-20 2022-09-20 Multi-data machine room virtualization cluster management system based on edge computing Pending CN115225450A (en)

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CN108390937A (en) * 2018-03-01 2018-08-10 深圳市腾讯计算机系统有限公司 Long-distance monitoring method, device and storage medium
CN111614702A (en) * 2019-02-22 2020-09-01 华为技术有限公司 Edge calculation method and edge calculation system
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Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101869476A (en) * 2009-04-22 2010-10-27 财团法人工业技术研究院 Method for checking heartbeat
CN103077242A (en) * 2013-01-11 2013-05-01 北京佳讯飞鸿电气股份有限公司 Method for hot standby of dual database servers
CN105606894A (en) * 2016-01-28 2016-05-25 南京信息工程大学 Instantaneous frequency estimation method based on simulated annealing (SA)
CN108390937A (en) * 2018-03-01 2018-08-10 深圳市腾讯计算机系统有限公司 Long-distance monitoring method, device and storage medium
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