CN107896176B - Processing method of computing node, intelligent terminal and storage medium - Google Patents
Processing method of computing node, intelligent terminal and storage medium Download PDFInfo
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- CN107896176B CN107896176B CN201711265692.2A CN201711265692A CN107896176B CN 107896176 B CN107896176 B CN 107896176B CN 201711265692 A CN201711265692 A CN 201711265692A CN 107896176 B CN107896176 B CN 107896176B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
- H04L43/0817—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/02—Details
- H04L12/12—Arrangements for remote connection or disconnection of substations or of equipment thereof
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0654—Management of faults, events, alarms or notifications using network fault recovery
- H04L41/0659—Management of faults, events, alarms or notifications using network fault recovery by isolating or reconfiguring faulty entities
- H04L41/0661—Management of faults, events, alarms or notifications using network fault recovery by isolating or reconfiguring faulty entities by reconfiguring faulty entities
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0681—Configuration of triggering conditions
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/16—Threshold monitoring
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Abstract
The invention discloses a processing method of a computing node, an intelligent terminal and a storage medium, wherein the method comprises the following steps: acquiring data information of an operating system, a database and a Web server which are normally operated by each virtual computing node, and establishing a data template; acquiring real-time data of an operating system, a database and a Web server of each virtual computing node through a monitoring protocol; comparing the real-time data with a data template, and judging whether the virtual computing node is halted; and when the virtual computing node is judged to be dead, restarting the virtual computing node through the cloud computing platform. By monitoring each virtual computing node in the cloud computing platform, the virtual computing nodes are restarted through the cloud computing platform under the condition that the virtual computing nodes are halted, so that the halt problem of the virtual computing nodes in the cloud computing platform is automatically solved, and the stable operation of the system is ensured.
Description
Technical Field
The invention relates to the technical field of intelligent terminals, in particular to a processing method of a computing node, an intelligent terminal and a storage medium.
Background
Cloud computing (cloud computing) is an internet-based mode of addition, use, and delivery of related services involving the provision of dynamically scalable and often virtualized resources over the internet; the dead virtual computing nodes in the cloud computing are all manually processed in the past, and after the virtual computing nodes are found to be unusable, an administrator is informed to perform manual processing, so that the processing aging is slow, and the operation of a cloud computing platform is influenced.
In addition, when processing virtual computing nodes, a solution is to form a cluster among specific nodes, and the cluster can continue to operate when a single-point fault occurs, the solution adopts a redundancy mode to solve the single-point fault, i.e. one or more standby machines are configured for each computing node, the operating condition of a main computing node is detected through the standby machines, and when the fault occurs, the main computing node is replaced through the standby machines to ensure stable operation; however, this approach is too costly, that is, if one cloud platform supports 150 virtual computing nodes, 150 or more standby machines are required to apply this scheme; in addition, the virtual computing nodes with faults in the scheme still need manual processing, only timely processing is not needed, and actually, a user wants that any virtual computing node can be automatically recovered.
Accordingly, the prior art is yet to be improved and developed.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a processing method of a computing node, an intelligent terminal and a storage medium, aiming at automatically solving the problem of the crash of a virtual computing node in a cloud computing platform and ensuring the stable operation of a system by monitoring each virtual computing node in the cloud computing platform and restarting the virtual computing node through the cloud computing platform under the condition that the virtual computing node crashes.
The technical scheme adopted by the invention for solving the technical problem is as follows:
a processing method of a computing node, wherein the processing method of the computing node comprises:
acquiring data information of an operating system, a database and a Web server which are normally operated by each virtual computing node, and establishing a data template;
acquiring real-time data of an operating system, a database and a Web server of each virtual computing node through a monitoring protocol;
comparing the real-time data with a data template, and judging whether the virtual computing node is halted;
and when the virtual computing node is judged to be dead, restarting the virtual computing node through the cloud computing platform.
The processing method of the computing node, wherein the acquiring data information of the operating system, the database and the Web server in which each virtual computing node normally operates, and the establishing of the data template specifically include the following steps:
acquiring data information of an operating system, a database and a Web server which are normally operated by each virtual computing node through a cloud computing platform;
establishing a data template of each virtual computing node, and storing according to the IP address;
and setting data threshold values of an operating system, a database and a Web server of each virtual computing node.
The processing method of the computing node, wherein the acquiring of the real-time data of the operating system, the database and the Web server of each virtual computing node through the monitoring protocol specifically includes the following steps:
setting a collection period for collecting data of an operating system, a database and a Web server of each virtual computing node;
real-time data of an operating system, a database and a Web server of each virtual computing node in a period are collected through a monitoring protocol.
The processing method of the computing node, wherein the comparing the real-time data with the data template and judging whether the virtual computing node crashes specifically comprises the following steps:
comparing the real-time data with a data template, and judging whether the operating system data, the database data and the Web server data of each virtual computing node are normal or not;
and when the data of the operating system, the data of the database and the data of the Web server are abnormal, judging that the virtual computing node is halted.
The processing method of the computing node, wherein restarting the virtual computing node through the cloud computing platform when the virtual computing node is judged to be dead specifically includes the following steps:
when the virtual computing node is judged to normally run, continuing monitoring;
when the virtual computing node is judged to be dead, judging whether the restarting times of the virtual computing node exceed the preset times;
if not, restarting the virtual computing node through the cloud computing platform;
and if so, notifying an administrator to process through mails, short messages and telephones.
An intelligent terminal, comprising a processor, and a memory connected to the processor, wherein the memory stores a processing program of a computing node, and the processing program of the computing node is used for realizing the following steps when executed by the processor:
acquiring data information of an operating system, a database and a Web server which are normally operated by each virtual computing node, and establishing a data template;
acquiring real-time data of an operating system, a database and a Web server of each virtual computing node through a monitoring protocol;
comparing the real-time data with a data template, and judging whether the virtual computing node is halted;
and when the virtual computing node is judged to be dead, restarting the virtual computing node through the cloud computing platform.
The intelligent terminal, wherein the processing program of the computing node, when executed by the processor, is further configured to implement the following steps:
acquiring data information of an operating system, a database and a Web server which are normally operated by each virtual computing node through a cloud computing platform;
establishing a data template of each virtual computing node, and storing according to the IP address;
setting data threshold values of an operating system, a database and a Web server of each virtual computing node;
setting a collection period for collecting data of an operating system, a database and a Web server of each virtual computing node;
real-time data of an operating system, a database and a Web server of each virtual computing node in a period are collected through a monitoring protocol.
The intelligent terminal, wherein the processing program of the computing node, when executed by the processor, is further configured to implement the following steps:
comparing the real-time data with a data template, and judging whether the operating system data, the database data and the Web server data of each virtual computing node are normal or not;
and when the data of the operating system, the data of the database and the data of the Web server are abnormal, judging that the virtual computing node is halted.
The intelligent terminal, wherein the processing program of the computing node, when executed by the processor, is further configured to implement the following steps:
when the virtual computing node is judged to normally run, continuing monitoring;
when the virtual computing node is judged to be dead, judging whether the restarting times of the virtual computing node exceed the preset times;
if not, restarting the virtual computing node through the cloud computing platform;
and if so, notifying an administrator to process through mails, short messages and telephones.
A storage medium, wherein the storage medium stores a processing program of a computing node, the processing program of the computing node being executed by a processor for implementing a processing method of the computing node.
The invention discloses a processing method of a computing node, an intelligent terminal and a storage medium, wherein the method comprises the following steps: acquiring data information of an operating system, a database and a Web server which are normally operated by each virtual computing node, and establishing a data template; acquiring real-time data of an operating system, a database and a Web server of each virtual computing node through a monitoring protocol; comparing the real-time data with a data template, and judging whether the virtual computing node is halted; and when the virtual computing node is judged to be dead, restarting the virtual computing node through the cloud computing platform. By monitoring each virtual computing node in the cloud computing platform, the virtual computing nodes are restarted through the cloud computing platform under the condition that the virtual computing nodes are halted, so that the halt problem of the virtual computing nodes in the cloud computing platform is automatically solved, and the stable operation of the system is ensured.
Drawings
FIG. 1 is a flow chart of a processing method of a compute node according to a first preferred embodiment of the present invention.
Fig. 2 is a functional block diagram of a preferred embodiment of the intelligent terminal of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Example one
Referring to fig. 1, fig. 1 is a flowchart illustrating a processing method of a compute node according to a first preferred embodiment of the present invention. As shown in fig. 1, a processing method of a compute node includes the following steps:
step S100, acquiring data information of an operating system, a database and a Web server which are normally operated by each virtual computing node, and establishing a data template.
In the embodiment of the present invention, the cloud computing platform is also referred to as a cloud platform, which is a technology capable of creating and managing a large and complex IT infrastructure in a fast, simple, and extensible manner; the virtual computing node logically corresponds to a computer, and information of the virtual computing node can be acquired through protocols such as SNMP (simple network management protocol), SSH (secure Shell protocol), RSH (remote Shell protocol), TELNET (remote Login service protocol), WMI (Windows management Specification), DBI (database interface), HTTP (Hypertext transfer protocol) and the like, so that the virtual computing node can be monitored like the state of a monitoring computer.
Firstly, under the precondition that the cloud computing platform is stably operated, installing an artificial intelligence program in the cloud computing platform, and establishing network communication between the cloud computing platform and each virtual computing node so as to ensure that the artificial intelligence program and each computing node can carry out network communication; acquiring data information of an operating system, a database and a Web server which are normally operated by each virtual computing node through a cloud computing platform, establishing a data template of each virtual computing node, and storing the data template according to an IP address; then, setting data thresholds of an operating system, a database and a Web server of each virtual compute node, and setting a preprocessing scheme when the virtual compute node crashes, for example: the cloud computing platform automatically restarts the virtual computing nodes several times, whether to perform data backup (such as data of normal operation on a set date) when the virtual computing nodes are halted, and which administrator is notified to perform manual processing after the restart fails.
Specifically, step S100 specifically includes the following steps:
s101, acquiring data information of an operating system, a database and a Web server which are normally operated by each virtual computing node through a cloud computing platform;
s102, establishing a data template of each virtual computing node, and storing according to an IP address;
s103, setting data threshold values of an operating system, a database and a Web server of each virtual computing node.
Step S200, collecting real-time data of an operating system, a database and a Web server of each virtual computing node through a monitoring protocol.
In the embodiment of the invention, after the preprocessing scheme is set, the artificial intelligence program is started, and the artificial intelligence program monitors and automatically processes each virtual computing node to replace manual work; after the artificial intelligence program is started, the cloud computing platform acquires real-time operating system information, database information and Web service information of each virtual computing node through a monitoring protocol, and judges whether the running state of the virtual computing node runs normally or not according to the operating system information, the database information and the Web service information.
The information of the virtual computing nodes is obtained through SNMP (simple network management protocol), SSH (secure Shell protocol), RSH (remote Shell protocol), TELNET (remote Login service protocol), WMI (Windows management Specification), DBI (database interface), HTTP (hyper text transfer protocol) and other protocols, and the virtual computing nodes are monitored in a mode of monitoring the state of the computer.
Further, the cloud computing platform monitors the Web server in the following manner:
the method comprises the steps of analyzing various parameters of a Web server through an SNMP simple network management function, then transmitting information to a monitored cloud computing platform through TCP/IP, and monitoring parameters of exchange space occupancy rate, physical memory occupancy rate, CPU load, the number of zombie processes in the process total running state, PING service availability inspection, packet loss rate response time, network card flow, system average load condition, disk space, the number of current login users of the system, server running time and the like of the Web server through an artificial intelligent program of the cloud computing platform.
Further, the cloud computing platform monitors the database in a manner that:
the method comprises the steps of analyzing various parameters of a database through an SNMP simple network management function, then transmitting information to a monitored cloud computing platform through TCP/IP, and monitoring important parameters such as I/O operation per second of a data file of a database server, the using time of a connection database, the number of connected users, data buffer hit rate, dictionary cache hit rate, sharing pool overloading rate, remaining memory of a sharing pool, sequencing ratio in a PGA memory, I/O flow of redo logs, head conflict of a rollback section, block conflict of the rollback section, hit rate of the rollback section and the like through an artificial intelligence program of the cloud computing platform.
Further, the cloud computing platform monitors the operating system in the following manner:
the method comprises the steps of analyzing various parameters of a database through an SNMP simple network management function, and then transmitting information to a monitored cloud computing platform through TCP/IP, wherein an artificial intelligence program of the cloud computing platform is used for processing CPU (central processing unit) use condition, memory use condition, disk use condition, network card information, network port information, virtual memory use condition information and the like of an operating system.
Specifically, step S200 specifically includes the following steps:
s201, setting a collection period for collecting data of an operating system, a database and a Web server of each virtual computing node;
s202, real-time data of an operating system, a database and a Web server of each virtual computing node in a period are collected through a monitoring protocol.
And step S300, comparing the real-time data with the data template, and judging whether the virtual computing node is halted.
In the embodiment of the invention, the real-time data is compared with a data template to judge whether the operating system data, the database data and the Web server data of each virtual computing node are normal or not; when the virtual node works normally, an operating system, a database and Web service of the virtual node can run normally, and monitoring information acquired through a cloud computing platform is normal; when a single component crashes, namely one of the database, the operating system and the Web service has an error, the virtual computing node is not crashed; when the database, the operating system and the Web service are all dead, the cloud computing platform can automatically judge that the virtual computing node is dead, and restart the virtual computing node through an Application Programming Interface (API).
That is, specifically, step S300 includes the steps of:
s301, comparing the real-time data with the data template, and judging whether the operating system data, the database data and the Web server data of each virtual computing node are normal or not.
S302, when the data of the operating system, the data of the database and the data of the Web server are abnormal, the virtual computing node is judged to be dead.
And S400, restarting the virtual computing node through the cloud computing platform when the virtual computing node is judged to be dead.
In the embodiment of the invention, when the virtual computing node is judged to normally operate, the monitoring is continued; when the running state of the virtual computing node is monitored to be halted, judging whether the number of times of restarting the virtual computing node by the cloud computing platform exceeds a preset number of times (preset 3 times); and when the number of times that the cloud computing platform restarts the virtual computing node is judged not to exceed the preset number of times, restarting the virtual computing node through the cloud computing platform.
Further, when the virtual computing node is restarted through the API of the cloud computing platform, firstly, fault site information (for fault analysis) is saved through an artificial intelligence program of the cloud computing platform, and an IP address of the virtual computing node with a problem and a logic position in the cloud computing platform are found out according to a monitoring protocol; then, performing Power OFF and Power ON operation ON the fault virtual computing node; after the virtual computing node is restarted, after a preset time (for example, 5 minutes), whether the operating states of an operating system, a database, a Web server and the like are normal or not is determined, and if the operating states are normal, the cloud computing platform is judged to be restarted successfully, so that the problem is solved.
Further, when the restart is judged to be unsuccessful, the artificial intelligence of the cloud computing platform automatically checks whether a preprocessing scheme (for example, backup recovery restart) exists, and if the preprocessing scheme exists, the processing is automatically carried out according to the preprocessing scheme; if the restart is unsuccessful for the preset times (preset 3 times), notifying a corresponding administrator to process in a mode of mail, short message, telephone and the like through a contact way on the preprocessing scheme.
That is, specifically, step S400 includes the steps of:
s401, when the virtual computing node is judged to normally operate, monitoring is continued;
s402, when the virtual computing node is judged to be dead, judging whether the restart times of the virtual computing node exceed the preset times;
s403, if not, restarting the virtual computing node through the cloud computing platform;
and S404, if yes, informing an administrator to process through mails, short messages and telephones.
Of course, it will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above may be implemented by a processing program of the computing node to instruct related hardware (such as a processor, a controller, etc.), and the program may be stored in a computer-readable storage medium, and when executed, the program may include the processes of the embodiments of the methods described above. The storage medium may be a memory, a magnetic disk, an optical disk, etc.
Example two
An embodiment of the present invention further provides an intelligent terminal, as shown in fig. 2, where the intelligent terminal of this embodiment includes a processor 10, and a memory 20 connected to the processor 10;
the memory 20 stores a processing program of a computing node, which when executed by the processor 10 is adapted to carry out the steps of:
acquiring data information of an operating system, a database and a Web server which are normally operated by each virtual computing node, and establishing a data template;
acquiring real-time data of an operating system, a database and a Web server of each virtual computing node through a monitoring protocol;
comparing the real-time data with a data template, and judging whether the virtual computing node is halted;
when the virtual computing node is judged to be dead, restarting the virtual computing node through the cloud computing platform; as described above.
Further, the processing program of the computing node, when executed by the processor 10, is further configured to implement the following steps:
acquiring data information of an operating system, a database and a Web server which are normally operated by each virtual computing node through a cloud computing platform;
establishing a data template of each virtual computing node, and storing according to the IP address;
setting data threshold values of an operating system, a database and a Web server of each virtual computing node;
setting a collection period for collecting data of an operating system, a database and a Web server of each virtual computing node;
acquiring real-time data of an operating system, a database and a Web server of each virtual computing node in a period through a monitoring protocol; as described above.
Further, the processing program of the computing node, when executed by the processor 10, is further configured to implement the following steps:
comparing the real-time data with a data template, and judging whether the operating system data, the database data and the Web server data of each virtual computing node are normal or not;
when the data of the operating system, the data of the database and the data of the Web server are abnormal, judging that the virtual computing node is halted; as described above.
Further, the processing program of the computing node, when executed by the processor 10, is further configured to implement the following steps:
when the virtual computing node is judged to normally run, continuing monitoring;
when the virtual computing node is judged to be dead, judging whether the restarting times of the virtual computing node exceed the preset times;
if not, restarting the virtual computing node through the cloud computing platform;
if yes, informing an administrator to process through mails, short messages and telephones; as described above.
EXAMPLE III
A storage medium storing a processing program of a computing node for implementing a processing method of the computing node when the processing program of the computing node is executed by a processor 10; as described above.
In summary, the present invention discloses a processing method of a compute node, an intelligent terminal and a storage medium, wherein the method includes: acquiring data information of an operating system, a database and a Web server which are normally operated by each virtual computing node, and establishing a data template; acquiring real-time data of an operating system, a database and a Web server of each virtual computing node through a monitoring protocol; comparing the real-time data with a data template, and judging whether the virtual computing node is halted; and when the virtual computing node is judged to be dead, restarting the virtual computing node through the cloud computing platform. By monitoring each virtual computing node in the cloud computing platform, the virtual computing nodes are restarted through the cloud computing platform under the condition that the virtual computing nodes are halted, so that the halt problem of the virtual computing nodes in the cloud computing platform is automatically solved, and the stable operation of the system is ensured.
It is to be understood that the invention is not limited to the examples described above, but that modifications and variations may be effected thereto by those of ordinary skill in the art in light of the foregoing description, and that all such modifications and variations are intended to be within the scope of the invention as defined by the appended claims.
Claims (3)
1. A processing method of a computing node is characterized by comprising the following steps:
acquiring data information of an operating system, a database and a Web server which are normally operated by each virtual computing node, and establishing a data template;
acquiring real-time data of an operating system, a database and a Web server of each virtual computing node through a monitoring protocol;
comparing the real-time data with a data template, and judging whether the virtual computing node is halted;
the comparing the real-time data with the data template and judging whether the virtual computing node is halted comprises the following steps:
comparing the real-time data with a data template, and judging whether the virtual computing node is halted;
when the virtual computing node is judged to normally run, continuing monitoring;
when the data of the operating system, the data of the database and the data of the Web server are abnormal, judging that the virtual computing node is halted;
when the virtual computing node is judged to be dead, restarting the virtual computing node through the cloud computing platform;
when the virtual computing node is judged to be dead, restarting the virtual computing node through the cloud computing platform comprises the following steps:
when the virtual computing node is judged to normally run, continuing monitoring;
when the virtual computing node is judged to be dead, judging whether the restarting times of the virtual computing node exceed the preset times;
if not, restarting the virtual computing node through the cloud computing platform;
if yes, informing an administrator to process through mails, short messages and telephones;
after a preset time, determining whether the operating system, the database and the Web server are normal or not;
if the cloud computing platform normally runs, judging that the cloud computing platform is restarted successfully;
the acquiring data information of the operating system, the database and the Web server which are normally operated by each virtual computing node, and establishing the data template specifically comprises the following steps:
acquiring data information of an operating system, a database and a Web server which are normally operated by each virtual computing node through a cloud computing platform;
establishing a data template of each virtual computing node, and storing according to the IP address;
setting data threshold values of an operating system, a database and a Web server of each virtual computing node; setting a preprocessing scheme when the virtual computing node crashes;
the step of acquiring real-time data of the operating system, the database and the Web server of each virtual computing node through the monitoring protocol specifically comprises the following steps:
setting a collection period for collecting data of an operating system, a database and a Web server of each virtual computing node;
real-time data of an operating system, a database and a Web server of each virtual computing node in a period are collected through a monitoring protocol.
2. An intelligent terminal, comprising a processor, and a memory connected to the processor, the memory storing a processing program of a computing node, the processing program of the computing node being configured to implement the following steps when executed by the processor:
acquiring data information of an operating system, a database and a Web server which are normally operated by each virtual computing node, and establishing a data template;
acquiring real-time data of an operating system, a database and a Web server of each virtual computing node through a monitoring protocol;
comparing the real-time data with a data template, and judging whether the virtual computing node is halted;
comparing the real-time data with a data template, and judging whether the virtual computing node is halted;
when the virtual computing node is judged to normally run, continuing monitoring;
when the data of the operating system, the data of the database and the data of the Web server are abnormal, judging that the virtual computing node is halted;
when the virtual computing node is judged to be dead, restarting the virtual computing node through the cloud computing platform;
when the virtual computing node is judged to normally run, continuing monitoring;
when the virtual computing node is judged to be dead, judging whether the restarting times of the virtual computing node exceed the preset times;
if not, restarting the virtual computing node through the cloud computing platform;
if yes, informing an administrator to process through mails, short messages and telephones;
after a preset time, determining whether the operating system, the database and the Web server are normal or not;
if the cloud computing platform normally runs, judging that the cloud computing platform is restarted successfully;
acquiring data information of an operating system, a database and a Web server which are normally operated by each virtual computing node through a cloud computing platform;
establishing a data template of each virtual computing node, and storing according to the IP address;
setting data threshold values of an operating system, a database and a Web server of each virtual computing node; setting a preprocessing scheme when the virtual computing node crashes;
setting a collection period for collecting data of an operating system, a database and a Web server of each virtual computing node;
real-time data of an operating system, a database and a Web server of each virtual computing node in a period are collected through a monitoring protocol.
3. A storage medium storing a processing program of a computing node, the processing program of the computing node being executed by a processor to implement the processing method of the computing node according to claim 1.
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