CN117827382B - Container cloud resource management method based on resource deployment audit - Google Patents
Container cloud resource management method based on resource deployment audit Download PDFInfo
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- 238000007726 management method Methods 0.000 title claims abstract description 27
- 238000012550 audit Methods 0.000 title claims abstract description 21
- 238000012545 processing Methods 0.000 claims abstract description 63
- 230000002159 abnormal effect Effects 0.000 claims abstract description 38
- 238000004364 calculation method Methods 0.000 claims abstract description 9
- 238000000034 method Methods 0.000 claims description 18
- 230000008569 process Effects 0.000 claims description 16
- 230000005540 biological transmission Effects 0.000 claims description 14
- 238000012546 transfer Methods 0.000 claims description 13
- 230000002688 persistence Effects 0.000 claims description 10
- 238000002955 isolation Methods 0.000 claims description 8
- 238000012544 monitoring process Methods 0.000 claims description 8
- 238000004064 recycling Methods 0.000 claims description 7
- 230000006835 compression Effects 0.000 claims description 4
- 238000007906 compression Methods 0.000 claims description 4
- 238000000605 extraction Methods 0.000 claims description 4
- 230000000903 blocking effect Effects 0.000 claims description 3
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Abstract
The invention relates to the technical field of computers, and provides a container cloud resource management method based on resource deployment audit, which monitors and analyzes the respective work logs of all edge devices subordinate to a cloud platform to obtain task processing attribute information of the edge devices, combines the cloud network position information of the edge devices, and divides the cloud network position information to obtain a plurality of edge device clusters to realize clustered management of the edge devices; searching matched cloud resource data based on task calculation demand information of the edge equipment cluster, selecting a matched container from a container pool, and storing the cloud resource data to the container so that the container can provide integrated container resource service for the edge equipment cluster; based on cloud resource data reading records of the container by the edge equipment cluster, whether an abnormal event of container resource reading occurs is judged, so that the running state of the container in the edge equipment cluster can be conveniently and timely adjusted, the container can be recycled, the problem of resource safety of the container is avoided, and the reliability of container service of the edge equipment cluster is guaranteed.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a container cloud resource management method based on resource deployment auditing.
Background
The containerization technology provides an isolated virtual environment, which can provide corresponding resource sharing services for different terminals, namely when a certain terminal needs to acquire corresponding cloud resources, the cloud resources can be stored in corresponding containers, the containers are transferred to the inside of the corresponding terminals, and thus, the terminals can perform corresponding resource operation processing by means of the containers. The existing container resource management is realized according to the resource requirement of a single terminal, namely, a single container can only be transferred into the single terminal at the same time, so that the utilization efficiency of the container can not be improved, and the efficient and reliable container resource service can not be provided for a plurality of terminals, thereby reducing the task processing speed and the stability of the terminals.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention provides a container cloud resource management method based on resource deployment audit, which monitors and analyzes the respective work logs of all edge devices under a cloud platform to obtain task processing attribute information of the edge devices, and combines the cloud network position information of the edge devices to divide the task processing attribute information into a plurality of edge device clusters to realize clustered management of the edge devices; searching matched cloud resource data based on task calculation demand information of the edge device cluster, selecting matched containers from the container pool, and storing the cloud resource data to the containers, so that the containers can provide integrated container resource services for the edge device cluster; and based on the cloud resource data reading record of the container by the edge equipment cluster, judging whether an abnormal event of container resource reading occurs, so that the running state of the container in the edge equipment cluster can be conveniently adjusted in time, the container can be recycled, the problem of resource safety of the container is avoided, and the reliability of container service of the edge equipment cluster is ensured.
The invention provides a container cloud resource management method based on resource deployment audit, which comprises the following steps:
step S1, monitoring all edge devices subordinate to a cloud platform to obtain respective work logs of all the edge devices; analyzing the work log to obtain the respective task processing attribute information of all the edge devices; dividing all edge devices into a plurality of edge device clusters based on the task processing attribute information and cloud network position information of each edge device;
Step S2, searching matched cloud resource data from a cloud resource pool subordinate to the cloud platform based on task calculation demand information of the edge equipment cluster; selecting a matched container from a container pool subordinate to the cloud platform based on the data attribute information of the cloud resource data, and storing the cloud resource data to the container;
Step S3, determining a transmission transfer state of the container in the edge equipment cluster based on task processing process information of the edge equipment cluster; acquiring cloud resource data reading records of the container by the edge equipment cluster, analyzing the cloud resource data reading records, and judging whether the edge equipment cluster has a container resource reading abnormal event or not;
Step S4, if an abnormal event of reading container resources occurs, the running state of the container in the edge equipment cluster is adjusted; if no abnormal event of container resource reading occurs, determining whether to recycle the container or not based on the persisted state information of the container in the edge equipment cluster.
In the embodiment of the disclosure, in the step S1, monitoring is performed on all edge devices subordinate to the cloud platform to obtain respective work logs of all the edge devices; analyzing the work log to obtain the respective task processing attribute information of all the edge devices, wherein the task processing attribute information comprises the following steps:
Monitoring all edge devices subordinate to a cloud platform based on the edge device access port information of the cloud platform to obtain respective application program work logs of all the edge devices; and analyzing the application program work log to obtain the respective application program task type information to be processed of all the edge devices, so as to determine all the edge devices with the same application program task type information to be processed.
In one embodiment of the present disclosure, in the step S1, all edge devices are divided into a plurality of edge device clusters based on task processing attribute information and cloud network location information of each of all edge devices, including:
and dividing all the edge devices with the task type information to be processed of the same application program into the same edge device cluster based on the access gateway position information of all the edge devices with the task type information to be processed of the same application program in the cloud network.
In one embodiment of the present disclosure, in the step S2, based on task calculation requirement information of the edge device cluster, searching matched cloud resource data from a cloud resource pool subordinate to the cloud platform includes:
performing operation task locking processing on all edge devices subordinate to the edge device cluster, and determining operation data content information of operation tasks to be processed by all edge devices; and searching matched cloud resource data from a cloud resource pool subordinate to the cloud platform based on the operation data content information, and isolating the cloud resource data obtained by searching.
In one embodiment of the present disclosure, in the step S2, based on the content information of the operation data, searching for matched cloud resource data from a cloud resource pool subordinate to the cloud platform, and performing isolation processing on the cloud resource data obtained by searching, including:
Generating a plurality of operation data content keywords based on the operation data content information; based on the operation data content keywords, searching data of a cloud resource pool subordinate to the cloud platform to obtain matched cloud resource data; and based on the position information of the cloud resource data obtained by searching in the storage interval of the cloud resource pool, sequentially carrying out isolation processing and extraction processing on the cloud resource data obtained by searching.
In one embodiment of the disclosure, in the step S2, selecting a matching container from a container pool subordinate to the cloud platform based on the data attribute information of the cloud resource data, and storing the cloud resource data to the container, including:
Carrying out data bit quantity identification on the extracted cloud resource data, and determining data bit quantity information of the extracted cloud resource data; comparing the data bit amount information with a capacity information list of a container pool subordinate to the cloud platform, and selecting a matched container from the container pool subordinate to the cloud platform; and sequentially performing blocking treatment and compression treatment on the extracted cloud resource data, and storing the cloud resource data into the container.
In one embodiment of the disclosure, in the step S3, determining a transmission transfer state of the container inside the edge device cluster based on task processing process information of the edge device cluster includes:
Acquiring respective task processing process occurrence time information of all edge devices subordinate to the edge device cluster, and determining time nodes of all edge devices subordinate to the edge device cluster, which need to read corresponding cloud resource data from the container in the task processing process, based on the task processing process occurrence time information; and determining the transmission transfer sequence of the container among all the edge devices subordinate to the edge device cluster based on the sequence of the respective time nodes of all the edge devices subordinate to the edge device cluster.
In one embodiment of the present disclosure, in the step S3, acquiring a cloud resource data reading record of the container by the edge device cluster, analyzing the cloud resource data reading record, and determining whether a container resource reading abnormal event occurs in the edge device cluster includes:
acquiring cloud resource data reading records of the container by edge equipment subordinate to the edge equipment cluster, and analyzing the cloud resource data reading records to obtain a reading interval position and a reading rate corresponding to the data reading of the edge equipment in the container; if the reading interval position does not belong to the interval position of the edge equipment allowing data reading or the reading rate is smaller than a preset reading rate threshold, judging that the edge equipment cluster generates a container resource reading abnormal event; otherwise, judging that the edge device cluster does not have the abnormal event of reading the container resources.
In one embodiment of the present disclosure, in the step S4, if a container resource reading abnormal event occurs, adjusting an operation state of the container in the edge device cluster includes:
And if the abnormal event of the container resource reading occurs, stopping transmission and transfer of the container in the edge equipment cluster, and recycling the container to a container pool subordinate to the cloud platform based on the access gateway information of the edge equipment in the edge equipment cluster at present.
In one embodiment of the present disclosure, in the step S4, if no abnormal event of container resource reading occurs, determining whether to perform recycling processing on the container based on the persisted state information of the container in the edge device cluster includes:
if no abnormal event of container resource reading occurs, acquiring the persistence duration of the container in the edge equipment cluster; if the persistence duration is greater than or equal to a preset time threshold, recycling the container to a container pool subordinate to the cloud platform; otherwise, the container is not recycled.
Compared with the prior art, the cloud resource management method based on resource deployment audit monitors and analyzes the respective work logs of all edge devices subordinate to the cloud platform to obtain task processing attribute information of the edge devices, and divides the task processing attribute information into a plurality of edge device clusters by combining cloud network position information of the edge devices to realize clustered management of the edge devices; searching matched cloud resource data based on task calculation demand information of the edge device cluster, selecting matched containers from the container pool, and storing the cloud resource data to the containers, so that the containers can provide integrated container resource services for the edge device cluster; and based on the cloud resource data reading record of the container by the edge equipment cluster, judging whether an abnormal event of container resource reading occurs, so that the running state of the container in the edge equipment cluster can be conveniently adjusted in time, the container can be recycled, the problem of resource safety of the container is avoided, and the reliability of container service of the edge equipment cluster is ensured.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of a method for managing cloud resources of a container based on resource deployment audit.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, fig. 1 is a flow chart of a method for managing cloud resources of a container based on resource deployment audit according to an embodiment of the present invention. The container cloud resource management method based on resource deployment audit comprises the following steps:
step S1, monitoring all edge devices subordinate to a cloud platform to obtain respective work logs of all the edge devices; analyzing the work log to obtain the respective task processing attribute information of all the edge devices; dividing all edge devices into a plurality of edge device clusters based on the task processing attribute information and cloud network position information of each edge device;
Step S2, searching matched cloud resource data from a cloud resource pool subordinate to the cloud platform based on task calculation demand information of the edge equipment cluster; selecting a matched container from a container pool subordinate to the cloud platform based on the data attribute information of the cloud resource data, and storing the cloud resource data into the container;
step S3, determining the transmission transfer state of the container in the edge equipment cluster based on the task processing progress information of the edge equipment cluster; acquiring cloud resource data reading records of the container by the edge equipment cluster, analyzing the cloud resource data reading records, and judging whether the edge equipment cluster has a container resource reading abnormal event or not;
Step S4, if an abnormal event of reading container resources occurs, the running state of the container in the edge equipment cluster is adjusted; if no abnormal event of the container resource reading occurs, determining whether to recycle the container or not based on the information of the remained state of the container in the edge equipment cluster.
The cloud resource management method based on resource deployment audit monitors and analyzes the respective work logs of all edge devices subordinate to the cloud platform to obtain task processing attribute information of the edge devices, and divides the task processing attribute information into a plurality of edge device clusters by combining cloud network position information of the edge devices to realize clustered management of the edge devices; searching matched cloud resource data based on task calculation demand information of the edge device cluster, selecting matched containers from the container pool, and storing the cloud resource data to the containers, so that the containers can provide integrated container resource services for the edge device cluster; and based on the cloud resource data reading record of the container by the edge equipment cluster, judging whether an abnormal event of container resource reading occurs, so that the running state of the container in the edge equipment cluster can be conveniently adjusted in time, the container can be recycled, the problem of resource safety of the container is avoided, and the reliability of container service of the edge equipment cluster is ensured.
Preferably, in the step S1, all edge devices subordinate to the cloud platform are monitored to obtain respective work logs of all the edge devices; analyzing the work log to obtain the respective task processing attribute information of all the edge devices, wherein the task processing attribute information comprises:
Monitoring all edge devices subordinate to the cloud platform based on the edge device access port information of the cloud platform to obtain respective application program work logs of all the edge devices; and analyzing the application program work log to obtain the respective application program task type information to be processed of all the edge devices, so as to determine all the edge devices with the same application program task type information to be processed.
According to the technical scheme, the edge equipment access port of the cloud platform is used as a reference, all edge equipment subordinate to the cloud platform is monitored, the work logs of all edge equipment subordinate to the cloud platform are obtained, the application program work logs of all the edge equipment are obtained, accurate identification of the task types to be processed of the application program of each edge equipment is facilitated, and therefore reliable cluster division is conducted on all the edge equipment.
Preferably, in the step S1, all edge devices are divided into a plurality of edge device clusters based on the task processing attribute information and the cloud network location information of each of all edge devices, including:
and dividing all the edge devices with the task type information to be processed of the same application program into the same edge device cluster based on the access gateway position information of all the edge devices with the task type information to be processed of the same application program in the cloud network.
In the technical scheme, based on the access gateway position information of all edge devices with the same application program to-be-processed task type information in the cloud network, all the edge devices with the same application program to-be-processed task type information are divided into the same edge device cluster, so that the same cloud resource acquisition requirements of the same edge device cluster can be ensured, the container cloud resource service of the same edge device cluster is realized, and the efficiency of the container cloud resource deployment management is improved.
Preferably, in the step S2, based on task computing requirement information of the edge device cluster, searching matched cloud resource data from a cloud resource pool subordinate to the cloud platform includes:
performing operation task locking processing on all edge devices subordinate to the edge device cluster, and determining operation data content information of operation tasks to be processed by all edge devices; and searching matched cloud resource data from a cloud resource pool subordinate to the cloud platform based on the operation data content information, and isolating the cloud resource data obtained by searching.
In the technical scheme, the operation task locking processing is performed on all edge devices subordinate to the edge device cluster, and the operation data content information of the operation tasks to be processed by all edge devices is determined, so that the data content of the operation tasks of all edge devices can be accurately and comprehensively identified. And searching matched cloud resource data from a cloud resource pool subordinate to the cloud platform based on the operation data content information, and performing isolation processing on the cloud resource data obtained by searching, so that the cloud resource data obtained by searching can meet the task processing requirements of the edge equipment, and the data independence of the cloud resource data obtained by searching can be ensured.
Preferably, in the step S2, based on the content information of the operation data, searching for the matched cloud resource data from the cloud resource pool subordinate to the cloud platform, and performing isolation processing on the cloud resource data obtained by searching, including:
Generating a plurality of operation data content keywords based on the operation data content information; based on the operation data content keywords, searching data of a cloud resource pool subordinate to the cloud platform to obtain matched cloud resource data; and based on the position information of the cloud resource data obtained by searching in the storage interval of the cloud resource pool, sequentially carrying out isolation processing and extraction processing on the cloud resource data obtained by searching.
According to the technical scheme, based on the operation data content information, a plurality of operation data content keywords are generated, so that comprehensive and rapid data searching can be performed on the cloud resource pool subordinate to the cloud platform, and accuracy of cloud resource data obtained through searching is ensured. And based on the position information of the cloud resource data in the storage section of the cloud resource pool, sequentially carrying out isolation processing and extraction processing on the cloud resource data obtained by searching, so that the cloud resource data can be accurately extracted, and the situation of cloud resource data crosstalk is avoided.
Preferably, in the step S2, based on the data attribute information of the cloud resource data, selecting a matching container from a container pool subordinate to the cloud platform, and storing the cloud resource data to the container, including:
Carrying out data bit quantity identification on the extracted cloud resource data, and determining data bit quantity information of the extracted cloud resource data; comparing the data bit amount information with a capacity information list of a container pool subordinate to the cloud platform, and selecting a matched container from the container pool subordinate to the cloud platform; and sequentially performing blocking treatment and compression treatment on the extracted cloud resource data, and storing the cloud resource data into the container.
According to the technical scheme, the data bit amount identification is carried out on the extracted cloud resource data, the data bit amount information of the extracted cloud resource data is determined, a matched container is selected from a container pool subordinate to the cloud platform, the extracted cloud resource data is stored in the container after being subjected to block processing and compression processing in sequence, and therefore the extracted cloud resource data can be stored in the container comprehensively and completely.
Preferably, in the step S3, determining a transmission transition state of the container inside the edge device cluster based on the task processing process information of the edge device cluster includes:
Acquiring respective task processing process occurrence time information of all edge devices subordinate to the edge device cluster, and determining a time node of the corresponding cloud resource data to be read from the container by all edge devices subordinate to the edge device cluster in the task processing process based on the task processing process occurrence time information; and determining the transmission transfer sequence of the container among all the edge devices subordinate to the edge device cluster based on the sequence of the respective time nodes of all the edge devices subordinate to the edge device cluster.
According to the technical scheme, the occurrence time information of the respective task processing processes of all the edge devices under the edge device cluster is taken as a reference, the time node of the corresponding cloud resource data which needs to be read from the container by all the edge devices under the edge device cluster in the task processing process is determined, and then the transmission transfer sequence of the container among all the edge devices under the edge device cluster is determined by combining the sequence of the respective time nodes of all the edge devices under the edge device cluster, so that all the edge devices under the edge device cluster can obtain the cloud resource service of the container in the accurate time range.
Preferably, in the step S3, acquiring a cloud resource data reading record of the container by the edge device cluster, analyzing the cloud resource data reading record, and determining whether a container resource reading abnormal event occurs in the edge device cluster includes:
Acquiring cloud resource data reading records of the container by edge equipment subordinate to the edge equipment cluster, and analyzing the cloud resource data reading records to obtain a reading interval position and a reading rate corresponding to the current data reading of the edge equipment in the container; if the reading interval position does not belong to the interval position of the edge equipment allowing data reading or the reading rate is smaller than a preset reading rate threshold, judging that the edge equipment cluster generates a container resource reading abnormal event; otherwise, judging that the edge device cluster does not have the abnormal event of reading the container resources.
According to the technical scheme, the cloud resource data reading record of the container is obtained by the edge equipment subordinate to the edge equipment cluster, the cloud resource data reading record of the container is analyzed, the reading interval position and the reading speed corresponding to the data reading of the edge equipment in the container are obtained, whether the abnormal event of the container resource reading occurs to the edge equipment cluster or not is accurately judged based on the reading interval position and the reading speed, and the working state of the container in the edge equipment cluster is conveniently and accurately identified.
Preferably, in the step S4, if an abnormal event of reading container resources occurs, adjusting the running state of the container in the edge device cluster includes:
If an abnormal event of container resource reading occurs, stopping transmission and transfer of the container in the edge equipment cluster, and recycling the container to a container pool subordinate to the cloud platform based on access gateway information of the edge equipment in the edge equipment cluster currently.
In the above technical solution, when an abnormal event occurs in the container resource reading, the transmission and transfer of the container in the edge device cluster are stopped, and the container is recovered to a container pool subordinate to the cloud platform based on the access gateway information of the edge device where the container is currently located in the edge device cluster, so that the normal operation of other edge devices in the edge device cluster can be prevented from being affected by the container.
Preferably, in the step S4, if no abnormal event of container resource reading occurs, determining whether to recycle the container based on the information of the persistence state of the container in the edge device cluster includes:
if no abnormal event of the container resource reading occurs, the persistence duration of the container in the edge equipment cluster is obtained; if the persistence duration is greater than or equal to a preset time threshold, recycling the container to a container pool subordinate to the cloud platform; otherwise, the container is not recycled.
In the above technical solution, if no abnormal event of container resource reading occurs, the persistence duration of the container in the edge device cluster is obtained, and when the persistence duration is greater than or equal to a preset time threshold, the container is recovered to a container pool subordinate to the cloud platform, so that the edge device cluster can be prevented from occupying the container for a long time to affect the operation efficiency of the container.
According to the content of the embodiment, the cloud resource management method based on the resource deployment audit monitors and analyzes the respective work logs of all edge devices subordinate to the cloud platform to obtain task processing attribute information of the edge devices, and combines the cloud network position information of the edge devices to divide the task processing attribute information into a plurality of edge device clusters to realize clustered management of the edge devices; searching matched cloud resource data based on task calculation demand information of the edge device cluster, selecting matched containers from the container pool, and storing the cloud resource data to the containers, so that the containers can provide integrated container resource services for the edge device cluster; and based on the cloud resource data reading record of the container by the edge equipment cluster, judging whether an abnormal event of container resource reading occurs, so that the running state of the container in the edge equipment cluster can be conveniently adjusted in time, the container can be recycled, the problem of resource safety of the container is avoided, and the reliability of container service of the edge equipment cluster is ensured.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. The container cloud resource management method based on resource deployment audit is characterized by comprising the following steps:
step S1, monitoring all edge devices subordinate to a cloud platform to obtain respective work logs of all the edge devices; analyzing the work log to obtain the respective task processing attribute information of all the edge devices; dividing all edge devices into a plurality of edge device clusters based on the task processing attribute information and cloud network position information of each edge device;
Step S2, searching matched cloud resource data from a cloud resource pool subordinate to the cloud platform based on task calculation demand information of the edge equipment cluster; selecting a matched container from a container pool subordinate to the cloud platform based on the data attribute information of the cloud resource data, and storing the cloud resource data to the container;
Step S3, determining a transmission transfer state of the container in the edge equipment cluster based on task processing process information of the edge equipment cluster; acquiring cloud resource data reading records of the container by the edge equipment cluster, analyzing the cloud resource data reading records, and judging whether the edge equipment cluster has a container resource reading abnormal event or not;
Step S4, if an abnormal event of reading container resources occurs, the running state of the container in the edge equipment cluster is adjusted; if no abnormal event of container resource reading occurs, determining whether to recycle the container or not based on the persisted state information of the container in the edge equipment cluster.
2. The resource deployment audit based container cloud resource management method according to claim 1, characterized by:
in the step S1, monitoring all edge devices subordinate to the cloud platform to obtain respective work logs of all the edge devices; analyzing the work log to obtain the respective task processing attribute information of all the edge devices, wherein the task processing attribute information comprises the following steps:
Monitoring all edge devices subordinate to a cloud platform based on the edge device access port information of the cloud platform to obtain respective application program work logs of all the edge devices; and analyzing the application program work log to obtain the respective application program task type information to be processed of all the edge devices, so as to determine all the edge devices with the same application program task type information to be processed.
3. The resource deployment audit based container cloud resource management method according to claim 2 wherein:
in the step S1, based on the task processing attribute information and the cloud network location information of each of all the edge devices, dividing all the edge devices into a plurality of edge device clusters, including:
and dividing all the edge devices with the task type information to be processed of the same application program into the same edge device cluster based on the access gateway position information of all the edge devices with the task type information to be processed of the same application program in the cloud network.
4. The resource deployment audit based container cloud resource management method according to claim 3 wherein:
in the step S2, based on the task computing requirement information of the edge device cluster, searching matched cloud resource data from a cloud resource pool subordinate to the cloud platform, including:
performing operation task locking processing on all edge devices subordinate to the edge device cluster, and determining operation data content information of operation tasks to be processed by all edge devices; and searching matched cloud resource data from a cloud resource pool subordinate to the cloud platform based on the operation data content information, and isolating the cloud resource data obtained by searching.
5. The resource deployment audit based container cloud resource management method according to claim 4 wherein:
in the step S2, based on the content information of the operation data, searching the matched cloud resource data from the cloud resource pool subordinate to the cloud platform, and performing isolation processing on the cloud resource data obtained by searching, including:
Generating a plurality of operation data content keywords based on the operation data content information; based on the operation data content keywords, searching data of a cloud resource pool subordinate to the cloud platform to obtain matched cloud resource data; and based on the position information of the cloud resource data obtained by searching in the storage interval of the cloud resource pool, sequentially carrying out isolation processing and extraction processing on the cloud resource data obtained by searching.
6. The resource deployment audit based container cloud resource management method according to claim 5 wherein:
in the step S2, based on the data attribute information of the cloud resource data, selecting a matched container from a container pool subordinate to the cloud platform, and storing the cloud resource data into the container, including:
Carrying out data bit quantity identification on the extracted cloud resource data, and determining data bit quantity information of the extracted cloud resource data; comparing the data bit amount information with a capacity information list of a container pool subordinate to the cloud platform, and selecting a matched container from the container pool subordinate to the cloud platform; and sequentially performing blocking treatment and compression treatment on the extracted cloud resource data, and storing the cloud resource data into the container.
7. The resource deployment audit based container cloud resource management method according to claim 6 wherein:
In the step S3, determining a transmission transfer state of the container in the edge device cluster based on the task processing process information of the edge device cluster, including:
Acquiring respective task processing process occurrence time information of all edge devices subordinate to the edge device cluster, and determining time nodes of all edge devices subordinate to the edge device cluster, which need to read corresponding cloud resource data from the container in the task processing process, based on the task processing process occurrence time information; and determining the transmission transfer sequence of the container among all the edge devices subordinate to the edge device cluster based on the sequence of the respective time nodes of all the edge devices subordinate to the edge device cluster.
8. The resource deployment audit based container cloud resource management method according to claim 7 wherein:
in the step S3, acquiring a cloud resource data reading record of the container by the edge device cluster, analyzing the cloud resource data reading record, and judging whether a container resource reading abnormal event occurs in the edge device cluster, including:
acquiring cloud resource data reading records of the container by edge equipment subordinate to the edge equipment cluster, and analyzing the cloud resource data reading records to obtain a reading interval position and a reading rate corresponding to the data reading of the edge equipment in the container; if the reading interval position does not belong to the interval position of the edge equipment allowing data reading or the reading rate is smaller than a preset reading rate threshold, judging that the edge equipment cluster generates a container resource reading abnormal event; otherwise, judging that the edge device cluster does not have the abnormal event of reading the container resources.
9. The resource deployment audit based container cloud resource management method according to claim 8 wherein:
In the step S4, if a container resource reading abnormal event occurs, adjusting an operation state of the container in the edge device cluster includes:
And if the abnormal event of the container resource reading occurs, stopping transmission and transfer of the container in the edge equipment cluster, and recycling the container to a container pool subordinate to the cloud platform based on the access gateway information of the edge equipment in the edge equipment cluster at present.
10. The resource deployment audit based container cloud resource management method according to claim 9 wherein:
In the step S4, if no abnormal event of container resource reading occurs, determining whether to recycle the container based on the information of the persistence state of the container in the edge device cluster includes:
if no abnormal event of container resource reading occurs, acquiring the persistence duration of the container in the edge equipment cluster; if the persistence duration is greater than or equal to a preset time threshold, recycling the container to a container pool subordinate to the cloud platform; otherwise, the container is not recycled.
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Citations (9)
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