CN112162852A - Multi-architecture CPU node management method, device and related components - Google Patents
Multi-architecture CPU node management method, device and related components Download PDFInfo
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- CN112162852A CN112162852A CN202010986805.3A CN202010986805A CN112162852A CN 112162852 A CN112162852 A CN 112162852A CN 202010986805 A CN202010986805 A CN 202010986805A CN 112162852 A CN112162852 A CN 112162852A
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- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
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Abstract
The application discloses a container cloud platform management method and device of a multi-CPU architecture, electronic equipment and a computer readable storage medium, wherein the container cloud platform comprises a management node and a plurality of computing nodes of the CPU architecture; when key information of the new computing node is configured to meet the scheduling requirement of the container application, identifying a container mirror image architecture corresponding to the container application; and distributing corresponding computing nodes for the container application according to the container mirror image architecture and the key information of each computing node in the container cloud platform. The method and the device can realize that the containers with different architectures are applied to the container cloud platform cluster of the computing resource pool consisting of different CPU architectures for scheduling, realize more flexible selection of the servers, construct the container cloud platform cluster, and simultaneously save the resource consumption of the management nodes under the condition that the number of the servers is limited.
Description
Technical Field
The present application relates to the field of cloud computing, and in particular, to a method and an apparatus for managing multi-architecture CPU nodes, and related components.
Background
The container cloud platform is generally a container cloud platform product which is packaged and developed based on kubernets and aims at the industry or a certain specific scene, the container cloud platform is divided into a management node and a computing node after being deployed, data are synchronized between the management node and the computing node through network interaction, and a resource pool is generally formed by servers with the same architecture to deploy the cloud platform in the traditional scheme. With the development of cloud computing, various server architectures such as loongson, feiteng, spread, shenwei, and sealight have come into existence, and in practical applications, in order to improve the flexibility of a container cloud platform, it is necessary to implement a computing resource pool formed by servers of various architectures, but at present, there is no scheme for managing a resource pool formed by servers of a multi-CPU architecture.
Therefore, how to provide a solution to the above technical problem is a problem that needs to be solved by those skilled in the art.
Disclosure of Invention
The application aims to provide a container cloud platform management method and device with multiple CPU architectures, electronic equipment and a computer readable storage medium, and containers with different architectures can be scheduled in a container cloud platform cluster of a computing resource pool composed of different CPU architectures, so that servers can be selected more flexibly, the container cloud platform cluster can be constructed, and meanwhile, the resource consumption of management nodes can be greatly reduced under the condition that the number of the servers is limited.
In order to solve the technical problem, the present application provides a container cloud platform management method of a multi-CPU architecture, where the container cloud platform includes a management node and a plurality of computing nodes of the CPU architecture, and the container cloud platform management method of the multi-CPU architecture includes:
performing a registration operation on a new computing node so that a management node joins the new computing node to the container cloud platform;
configuring key information of the new computing node;
when the scheduling requirement of the container application is met, identifying a container mirror image architecture corresponding to the container application;
and distributing corresponding computing nodes for the container application according to the container mirror image architecture and the key information of each computing node in the container cloud platform.
Preferably, the registering operation includes:
identifying a CPU architecture of the new compute node;
sending a registration request to the management node according to the CPU architecture;
and judging whether the CPU architecture meets preset conditions or not according to the registration request through the management node, and if so, adding the new computing node into the container cloud platform.
Preferably, the preset conditions include:
the CPU architecture is an X86 architecture or a mips architecture or an arm architecture.
Preferably, after identifying the CPU architecture of the new compute node, the registering operation further includes:
and allocating a resource hosting attribute to the new computing node according to the CPU architecture of the new computing node.
Preferably, the key information includes a CPU architecture, a CPU core number, a memory size, and a scheduling priority.
Preferably, the method for managing the container cloud platform with the multi-CPU architecture further includes:
and writing the CPU architecture, the CPU core number, the memory size and the scheduling priority into an etcd database.
Preferably, the method for managing the container cloud platform with the multi-CPU architecture further includes:
monitoring the state of each computing node in the container cloud platform cluster;
and when the computing node in the abnormal state exists, judging that the container application scheduling requirement is met.
In order to solve the above technical problem, the present application further provides a container cloud platform management device with a multi-CPU architecture, where the container cloud platform includes management nodes and computing nodes with multiple CPU architectures, and the container cloud platform management device with the multi-CPU architecture includes:
the registration module is used for executing registration operation on a new computing node so that the management node can add the new computing node into the container cloud platform;
the configuration module is used for configuring key information of the new computing node;
the identification module is used for identifying a container mirror image architecture corresponding to the container application when the container application scheduling requirement is met;
and the distribution module is used for distributing corresponding computing nodes for the container application according to the container mirror image architecture and the key information of each computing node in the container cloud platform.
In order to solve the above technical problem, the present application further provides an electronic device, including:
a memory for storing a computer program;
a processor configured to implement the steps of the container cloud platform management method of a multi-CPU architecture as described in any one of the above when executing the computer program.
In order to solve the above technical problem, the present application further provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the steps of the container cloud platform management method of a multi-CPU architecture according to any one of the above are implemented.
The application provides a container cloud platform management method of a multi-CPU architecture, when new computing nodes exist, the new computing nodes are counted into a container cloud platform through executing registration operation, so that the computing nodes of different CPU architectures can form a same computing resource pool, corresponding computing nodes are distributed for container applications according to key information of the container mirror image architecture and the computing nodes in the container cloud platform, the container applications of different architectures can be scheduled in a container cloud platform cluster of the computing resource pool formed by different CPU architectures, servers can be selected more flexibly, the container cloud platform cluster is constructed, and meanwhile, the resource consumption of the management nodes can be greatly saved under the condition that the number of the servers is limited. The application also provides a multi-CPU-architecture container cloud platform management device, electronic equipment and a computer readable storage medium, and the multi-CPU-architecture container cloud platform management device, the electronic equipment and the computer readable storage medium have the same beneficial effects as the multi-CPU-architecture container cloud platform management method.
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In order to more clearly illustrate the embodiments of the present application, the drawings needed for 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 application, and that other drawings can be obtained by those skilled in the art without inventive effort.
Fig. 1 is a flowchart illustrating steps of a method for managing a container cloud platform with a multi-CPU architecture according to the present application;
fig. 2 is a schematic structural diagram of a container cloud platform management device with a multi-CPU architecture according to the present application.
Detailed Description
The core of the application is to provide a container cloud platform management method and device with multiple CPU architectures, electronic equipment and a computer readable storage medium, which can realize that containers with different architectures are applied to scheduling in a container cloud platform cluster of a computing resource pool composed of different CPU architectures, so as to realize more flexible selection of servers and construction of the container cloud platform cluster, and can greatly save resource consumption of management nodes under the condition that the number of the servers is limited.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In order to facilitate understanding of the container cloud platform management method of the multi-CPU architecture provided in the present application, a management system to which the method is applied is described below, where the container cloud platform management system includes, but is not limited to, a registration apparatus, a configuration apparatus, a node control apparatus, and an application scheduling apparatus. The method comprises the steps that a new computing node enters a registration device when joining a cluster, the registration device sends a configuration request to a configuration device, the configuration device identifies a CPU framework of the new computing node to be joined in the cluster, identification and configuration are carried out, the configuration device enters a node control device after configuration is completed, the node control device is responsible for monitoring the state of each computing node in the cluster and initiating an application eviction action on the node when a certain computing node is continuously unavailable, and an application scheduling device automatically schedules the computing node matched with an application framework by identifying an applied container mirror image framework.
Referring to fig. 1, fig. 1 is a flowchart illustrating steps of a method for managing a container cloud platform with a multi-CPU architecture according to the present application, where the method for managing the container cloud platform with the multi-CPU architecture includes:
s101: performing a registration operation on the new computing node so that the management node adds the new computing node to the container cloud platform;
specifically, the container cloud platform in this embodiment includes a management node and computing nodes of multiple CPU architectures, and when a new computing node joins a container cloud platform cluster, first, a registration operation is performed on the new computing node by using a registration apparatus, so that the management node joins the new computing node to the container cloud platform cluster, and the registration operation includes identifying a server CPU architecture corresponding to the new computing node, such as x86, mips, arm, Alpha, or the like; sending a registration request to a management node according to the CPU architecture of the new computing node, judging whether the CPU architecture in the registration request meets preset conditions after the management node receives the registration request, wherein the preset conditions comprise that the CPU architecture is an x86 architecture, or a mips architecture, or an arm architecture, if so, adding the new computing node into a container cloud platform cluster so as to enable the computing nodes of different CPU architectures to form the same computing resource pool, and if not, prompting that the corresponding information is not supported.
S102: configuring key information of a new computing node;
specifically, the configuration device configures key information of the new computing node, where the key information includes, but is not limited to, a CPU architecture, a CPU core number, a memory size, a scheduling priority, and the like corresponding to the new computing node, and writes the new computing node and the key information thereof into an etcd database, so as to perform container application scheduling according to the key information in the following, where the etcd database is a high-availability distributed key value database.
S103: when the scheduling requirement of the container application is met, identifying a container mirror image architecture corresponding to the container application;
s104: and distributing corresponding computing nodes for the container application according to the container mirror image architecture and the key information of each computing node in the container cloud platform.
Specifically, after a new computing node is added to a container cloud platform cluster, servers with various CPU architectures can form a resource pool in one cluster. The different container applications have different architectures, when the container applications are created or when a certain computing node for running the container applications is judged to be abnormal, the container application scheduling requirements are judged to be met, a scheduling instruction is output through a node controller, an application scheduling device automatically identifies the container mirror image architecture corresponding to the container applications after receiving the scheduling instruction, and the container applications are scheduled according to the key information of the computing nodes in the cluster and the container mirror image architecture corresponding to the container applications, so that the container applications are guaranteed to be scheduled to the computing nodes matched with the CPU architecture.
It can be seen that, in this embodiment, when a new computing node exists, the new computing node is included in the container cloud platform by executing a registration operation, so that computing nodes of different CPU architectures can form a same computing resource pool, corresponding computing nodes are allocated to container applications according to key information of each computing node in the container mirror image architecture and the container cloud platform, and the container applications of different architectures can be scheduled in a container cloud platform cluster of the computing resource pool formed by different CPU architectures, so that servers can be selected more flexibly, a container cloud platform cluster is constructed, and meanwhile, resource consumption of management nodes can be greatly reduced under the condition that the number of servers is limited.
On the basis of the above-described embodiment:
as a preferred embodiment, after identifying the CPU architecture of the new compute node, the registering further comprises:
and allocating the resource hosting attribute to the new computing node according to the CPU architecture of the new computing node.
Specifically, when a registration operation is performed on a new computing node, a CPU architecture of the new computing node is automatically identified, and a resource hosting attribute is allocated to the new computing node according to the CPU architecture, where the resource hosting attribute represents an application type that the new computing node can run, so that high matching is ensured when a subsequent container application is scheduled.
As a preferred embodiment, the method for managing a container cloud platform of a multi-CPU architecture further includes:
monitoring the state of each computing node in the container cloud platform cluster;
and when the computing node in the abnormal state exists, judging that the container application scheduling requirement is met.
Specifically, after a new computing node is added into a container cloud platform cluster, the new computing node is one computing node in the container cloud platform cluster, the state of each computing node in the container cloud platform cluster is monitored, a monitoring scheme can be realized by each computing node sending a heartbeat signal to a node control device according to a preset period, if the heartbeat signal is not sent when the computing node exceeds a preset time, the computing node is judged to be unreachable continuously, all applications on the node are driven out by a node controller, and then the computing nodes with the same CPU architecture are selected for scheduling according to the applied container mirror image architecture, so that the applications can continue to run.
In summary, by adopting the scheme of the application, servers of multiple CPU architectures can join the same container cluster to form a resource pool, and container applications of different architectures can be scheduled in the container cluster of the computing resource pool formed by the same different CPU architectures, so that the servers can be selected more flexibly to construct the container cluster, and resource consumption of management nodes can be greatly reduced under the condition that the number of the servers is limited.
Referring to fig. 2, fig. 2 is a schematic structural diagram of a container cloud platform management device with a multi-CPU architecture according to the present application, where a container cloud platform includes a management node and a plurality of computing nodes with CPU architectures, and the container cloud platform management device with a multi-CPU architecture includes:
the registration module 11 is configured to perform a registration operation on the new computing node, so that the management node adds the new computing node to the container cloud platform;
a configuration module 12, configured to configure key information of the new computing node;
the identification module 13 is configured to identify a container mirror architecture corresponding to the container application when the container application scheduling requirement is met;
and the allocating module 14 is configured to allocate corresponding computing nodes to the container application according to the container mirroring architecture and the key information of each computing node in the container cloud platform.
It can be seen that, in this embodiment, when a new computing node exists, the new computing node is included in the container cloud platform by executing a registration operation, so that computing nodes of different CPU architectures can form a same computing resource pool, corresponding computing nodes are allocated to container applications according to key information of each computing node in the container mirror image architecture and the container cloud platform, and the container applications of different architectures can be scheduled in a container cloud platform cluster of the computing resource pool formed by different CPU architectures, so that servers can be selected more flexibly, a container cloud platform cluster is constructed, and meanwhile, resource consumption of management nodes can be greatly reduced under the condition that the number of servers is limited.
As a preferred embodiment, the registration operation includes:
identifying a CPU architecture of the new compute node;
sending a registration request to a management node according to a CPU architecture;
and judging whether the CPU architecture meets a preset condition or not through the management node according to the registration request, and if so, adding the new computing node into the container cloud platform.
As a preferred embodiment, the preset conditions include:
the CPU architecture is an X86 architecture or a mips architecture or an arm architecture.
As a preferred embodiment, after identifying the CPU architecture of the new compute node, the registering further comprises:
and allocating the resource hosting attribute to the new computing node according to the CPU architecture of the new computing node.
As a preferred embodiment, the key information includes CPU architecture, CPU core count, memory size, and scheduling priority.
As a preferred embodiment, the configuration module 12 is further configured to:
and writing the CPU architecture, the CPU core number, the memory size and the scheduling priority into an etcd database.
As a preferred embodiment, the container cloud platform management apparatus of a multi-CPU architecture further includes:
and the monitoring module is used for monitoring the state of each computing node in the container cloud platform cluster, and judging that the container application scheduling requirement is met when the computing node in the abnormal state exists.
In another aspect, the present application further provides an electronic device, including:
a memory for storing a computer program;
a processor configured to implement the steps of the container cloud platform management method of a multi-CPU architecture as described in any one of the above embodiments when executing a computer program.
For an introduction of an electronic device provided in the present application, please refer to the above embodiments, which are not described herein again.
The electronic equipment provided by the application has the same beneficial effects as the container cloud platform management method with the multi-CPU architecture.
In another aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the container cloud platform management method of the multi-CPU architecture described in any one of the above embodiments.
For the introduction of a computer-readable storage medium provided in the present application, please refer to the above embodiments, which are not described herein again.
The computer-readable storage medium has the same beneficial effects as the container cloud platform management method with the multi-CPU architecture.
It is further noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A management method for a container cloud platform with a multi-CPU architecture is characterized in that the container cloud platform comprises a management node and a plurality of computing nodes with CPU architectures, and the management method for the container cloud platform with the multi-CPU architecture comprises the following steps:
performing a registration operation on a new computing node so that a management node joins the new computing node to the container cloud platform;
configuring key information of the new computing node;
when the scheduling requirement of the container application is met, identifying a container mirror image architecture corresponding to the container application;
and distributing corresponding computing nodes for the container application according to the container mirror image architecture and the key information of each computing node in the container cloud platform.
2. The multi-CPU architecture container cloud platform management method according to claim 1, wherein the registration operation comprises:
identifying a CPU architecture of the new compute node;
sending a registration request to the management node according to the CPU architecture;
and judging whether the CPU architecture meets preset conditions or not according to the registration request through the management node, and if so, adding the new computing node into the container cloud platform.
3. The multi-CPU architecture container cloud platform management method according to claim 2, wherein the preset condition comprises:
the CPU architecture is an X86 architecture or a mips architecture or an arm architecture.
4. The multi-CPU architecture container cloud platform management method of claim 2, wherein after identifying the CPU architecture of the new computing node, the registering further comprises:
and allocating a resource hosting attribute to the new computing node according to the CPU architecture of the new computing node.
5. The method according to claim 1, wherein the key information includes a CPU architecture, a CPU core count, a memory size, and a scheduling priority.
6. The method for managing the container cloud platform of the multi-CPU architecture according to claim 5, wherein the method for managing the container cloud platform of the multi-CPU architecture further comprises:
and writing the CPU architecture, the CPU core number, the memory size and the scheduling priority into an etcd database.
7. The method for managing the container cloud platform of the multi-CPU architecture according to any one of claims 1 to 6, wherein the method for managing the container cloud platform of the multi-CPU architecture further comprises:
monitoring the state of each computing node in the container cloud platform cluster;
and when the computing node in the abnormal state exists, judging that the container application scheduling requirement is met.
8. The utility model provides a container cloud platform management device of many CPU framework, characterized in that, container cloud platform includes management node and the computational node of multiple CPU framework, and this container cloud platform management device of many CPU framework includes:
the registration module is used for executing registration operation on a new computing node so that the management node can add the new computing node into the container cloud platform;
the configuration module is used for configuring key information of the new computing node;
the identification module is used for identifying a container mirror image architecture corresponding to the container application when the container application scheduling requirement is met;
and the distribution module is used for distributing corresponding computing nodes for the container application according to the container mirror image architecture and the key information of each computing node in the container cloud platform.
9. An electronic device, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the container cloud platform management method of a multi-CPU architecture according to any one of claims 1 to 7 when executing said computer program.
10. A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, carries out the steps of the method for container cloud platform management of a multi-CPU architecture according to any one of claims 1 to 7.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112948063A (en) * | 2021-05-17 | 2021-06-11 | 北京汇钧科技有限公司 | Cloud platform creation method and device, cloud platform and cloud platform implementation system |
| CN113075994A (en) * | 2021-04-26 | 2021-07-06 | 华南理工大学 | Energy-saving scheduling system, method and storage medium for X86 and ARM hybrid cloud computing |
| CN113268312A (en) * | 2021-05-14 | 2021-08-17 | 济南浪潮数据技术有限公司 | Application migration method and system |
| CN113626371A (en) * | 2021-08-27 | 2021-11-09 | 深圳供电局有限公司 | Edge computing system and method based on X86 and ARM mixed architecture |
-
2020
- 2020-09-18 CN CN202010986805.3A patent/CN112162852A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113075994A (en) * | 2021-04-26 | 2021-07-06 | 华南理工大学 | Energy-saving scheduling system, method and storage medium for X86 and ARM hybrid cloud computing |
| CN113268312A (en) * | 2021-05-14 | 2021-08-17 | 济南浪潮数据技术有限公司 | Application migration method and system |
| CN112948063A (en) * | 2021-05-17 | 2021-06-11 | 北京汇钧科技有限公司 | Cloud platform creation method and device, cloud platform and cloud platform implementation system |
| CN113626371A (en) * | 2021-08-27 | 2021-11-09 | 深圳供电局有限公司 | Edge computing system and method based on X86 and ARM mixed architecture |
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