CN112737835A - Cloud host business management method and related device - Google Patents

Cloud host business management method and related device Download PDF

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Publication number
CN112737835A
CN112737835A CN202011568333.6A CN202011568333A CN112737835A CN 112737835 A CN112737835 A CN 112737835A CN 202011568333 A CN202011568333 A CN 202011568333A CN 112737835 A CN112737835 A CN 112737835A
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cloud host
service
business
occupancy rate
cloud
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邱军婷
苏广峰
郭敬宇
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Beijing Inspur Data Technology Co Ltd
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Beijing Inspur Data Technology Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/04Network management architectures or arrangements
    • H04L41/046Network management architectures or arrangements comprising network management agents or mobile agents therefor
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network

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  • Computer Networks & Wireless Communication (AREA)
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Abstract

The application discloses a cloud host service management method, which comprises the following steps: installing a qemu-guest-agent tool inside the cloud host; sending a business operation command to the cloud host through a libvirt daemon process so that the cloud host executes business operation corresponding to the business operation command; receiving business information sent by a cloud host through a qemu-guest-agent tool, and displaying the business information; when the automatic processing mechanism of the cloud host service is started, the service information is analyzed, and when the consumption of the cloud host resource by the service reaches a preset threshold value, a service pause command is sent to the cloud host through a libvirt daemon process to pause the target service. The method can efficiently manage the cloud host service and ensure the stable operation of the cloud host. The application also discloses a cloud host business management device, equipment and a computer readable storage medium, which have the technical effects.

Description

Cloud host business management method and related device
Technical Field
The application relates to the technical field of cloud computing, in particular to a cloud host business management method; the utility model also relates to a cloud host business management device, equipment and computer readable storage medium.
Background
Cloud computing is a completely new network application concept. In a narrow sense, cloud computing is a network for providing resources, and users can acquire resources on the cloud at any time and use the resources according to the required quantity. In a broad sense, cloud computing is a service related to information technology, software and the internet, a computing resource sharing pool is called cloud, and a plurality of computing resources are aggregated by the cloud computing to realize automatic management through the software. With the increasing development of cloud computing technology, the cloud computing technology gradually becomes the core power of future technology development. The key for guaranteeing the stable and reliable operation of the cloud host is to efficiently and reasonably manage the internal business of the cloud computing host, namely the cloud host. However, currently, a way to manage the cloud host business is to enter a cloud host system, and manage the cloud host business in the cloud host system. The management mode is low in efficiency and not beneficial to stable and reliable operation of the cloud host. Therefore, providing an efficient cloud host service management scheme has become a technical problem to be solved by those skilled in the art.
Disclosure of Invention
The cloud host service management method can efficiently manage cloud host services and guarantee stable operation of a cloud host. Another object of the present application is to provide a cloud host service management apparatus, a device and a computer readable storage medium, all having the above technical effects.
In order to solve the technical problem, the present application provides a cloud host service management method, including:
installing a qemu-guest-agent tool inside the cloud host;
sending a business operation command to the cloud host through a libvirt daemon process so that the cloud host executes business operation corresponding to the business operation command;
receiving business information sent by the cloud host through the qemu-guest-agent tool, and displaying the business information;
when a cloud host service automatic processing mechanism is started, analyzing the service information, and when the consumption of the service on the cloud host resources reaches a preset threshold value, sending a service pause command to the cloud host through the libvirt daemon process so as to pause a target service.
Optionally, the sending, by the libvirt daemon, a service suspension command to the cloud host to suspend a target service includes:
respectively calculating the sum of the CPU occupancy rate and the memory occupancy rate of each service;
comparing the priority of each service;
if the priorities of the services are different, suspending the service with the lowest priority;
if the priority of each service is the same, comparing the sum of the CPU occupancy rate and the memory occupancy rate of each service, and suspending the service with the maximum sum of the CPU occupancy rate and the memory occupancy rate.
Optionally, the displaying the service information includes:
and displaying the service information on the OpenStack cloud platform.
Optionally, the receiving the service information sent by the cloud host through the qemu-guest-agent tool includes:
and receiving the service information which is regularly collected and regularly sent by the cloud host through the qemu-guest-agent tool.
Optionally, the method further includes:
and after receiving a closing instruction, closing the automatic cloud host service processing mechanism.
In order to solve the above technical problem, the present application further provides a cloud host service management apparatus, including:
the installation module is used for installing a qemu-guest-agent tool inside the cloud host;
the sending module is used for sending a business operation command to the cloud host through a libvirt daemon process so as to enable the cloud host to execute business operation corresponding to the business operation command;
the receiving module is used for receiving the service information sent by the cloud host through the qemu-guest-agent tool and displaying the service information;
and the analysis module is used for analyzing the service information when a cloud host service automatic processing mechanism is started, and sending a service pause command to the cloud host through the libvirt daemon process to pause a target service when the consumption of the service on the cloud host resources reaches a preset threshold value.
Optionally, the analysis module includes:
the computing unit is used for respectively computing the sum of the CPU occupancy rate and the memory occupancy rate of each service;
a comparing unit, configured to compare priorities of the services;
a first suspension module, configured to suspend the service with the lowest priority if the priorities of the services are different;
and the second pause module is used for comparing the sum of the CPU occupancy rate and the memory occupancy rate of each service if the priority of each service is the same, and pausing the service with the maximum sum of the CPU occupancy rate and the memory occupancy rate.
Optionally, the method further includes:
and the closing module is used for closing the automatic cloud host service processing mechanism after receiving a closing instruction.
In order to solve the above technical problem, the present application further provides a cloud host service management device, including:
a memory for storing a computer program;
a processor configured to implement the steps of the cloud host business management method according to 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 cloud host service management method according to any one of the above embodiments are implemented.
The cloud host service management method provided by the application comprises the following steps: installing a qemu-guest-agent tool inside the cloud host; sending a business operation command to the cloud host through a libvirt daemon process so that the cloud host executes business operation corresponding to the business operation command; receiving business information sent by the cloud host through the qemu-guest-agent tool, and displaying the business information; when a cloud host service automatic processing mechanism is started, analyzing the service information, and when the consumption of the service on the cloud host resources reaches a preset threshold value, sending a service pause command to the cloud host through the libvirt daemon process so as to pause a target service. Therefore, the cloud host service management method provided by the application adopts libvirt and qemu virtualization technologies to realize communication between the cloud platform and the cloud host, and on the basis, the cloud platform is used for operating the service inside the cloud host, displaying the service information of the cloud host and automatically processing the service inside the cloud host, so that the efficient management of the service of the cloud host can be realized, and the stable operation of the cloud host is ensured.
The cloud host business management device, the equipment and the computer readable storage medium provided by the application have the technical effects.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the prior art and the embodiments are briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic flowchart of a cloud host service management method according to an embodiment of the present application;
fig. 2 is a schematic diagram of a cloud host service management apparatus according to an embodiment of the present disclosure;
fig. 3 is a schematic diagram of a cloud host service management device according to an embodiment of the present application.
Detailed Description
The core of the application is to provide a cloud host service management method, which can efficiently manage cloud host services and ensure stable operation of a cloud host. Another core of the present application is to provide a cloud host service management apparatus, a device and a computer readable storage medium, all having the above technical effects.
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.
Referring to fig. 1, fig. 1 is a schematic flow chart of a cloud host service management method according to an embodiment of the present application, and referring to fig. 1, the method includes:
s101: installing a qemu-guest-agent tool inside the cloud host;
s102: sending a business operation command to the cloud host through a libvirt daemon process so that the cloud host executes business operation corresponding to the business operation command;
specifically, the execution subject of the application is a cloud computing platform, which is called a cloud platform for short. That is to say, the service inside the cloud host is operated and the service information of the cloud host is displayed through the cloud platform. Cloud host refers to a virtual host. In order to realize communication between a cloud platform and a cloud host, a libvirt daemon process is started on the host, and a qemu-guest-agent tool is installed inside the cloud host, so that the libvirt daemon process is communicated with the cloud host.
For the related contents of libvirt daemon and qemu-guest-agent tools, the details are not repeated herein, and refer to the prior art.
On the basis of a communication mechanism realized based on a libvirt daemon process and a qemu-guest-agent tool, a service operation command is issued by a cloud platform and is sent to the qemu-guest-agent tool of a cloud host through the libvirt daemon process, so that the cloud host executes corresponding service operation after receiving the service operation command. The service operation command may be an install service command, a run service command, an unload service command, a pause service command, and the like.
S103: receiving business information sent by the cloud host through the qemu-guest-agent tool, and displaying the business information;
specifically, the cloud platform receives the service information fed back by the cloud host and further displays the service information, besides issuing the service operation command to the cloud host. The service information may include service running state, information that the service occupies the CPU and the memory, service alarm information, and the like.
In a specific implementation manner, the receiving of the service information sent by the cloud host through the qemu-guest-agent tool includes: and receiving the service information which is regularly collected and regularly sent by the cloud host through the qemu-guest-agent tool.
Specifically, a business detection module realized based on a shell script in the cloud host regularly counts the information such as the running state, the CPU occupancy rate and the memory occupancy rate of the business in the cloud host, and records the information such as the running state, the CPU occupancy rate and the memory occupancy rate in a specified file for storage. Furthermore, a business information reporting module realized based on a qemu-guest-agent tool in the cloud host reports information such as the running state, the CPU occupancy rate and the memory occupancy rate of the cloud host at regular time.
In addition, in a specific embodiment, the displaying the service information includes: and displaying the service information on the OpenStack cloud platform.
Specifically, in this embodiment, the cloud platform is built based on an OpenStack framework, and after receiving the service information reported by the cloud host, a cloud host service display module of the OpenStack cloud platform displays the service information reported by the cloud host, so that an operator can check the service information of the cloud host and perform corresponding operations according to information such as the operating state, the CPU occupancy rate, and the memory occupancy rate of the cloud host.
S104: when a cloud host service automatic processing mechanism is started, the service information is analyzed, and when the consumption of the service on the cloud host resources reaches a preset threshold value, a service pause command is sent to the cloud host through the libvirt daemon process so as to pause a target service.
Specifically, a cloud host service automatic processing mechanism is introduced into the cloud platform, when the cloud host service automatic processing mechanism is started, the cloud platform further analyzes the service information after receiving the service information reported by the cloud host, judges whether the service consumption of a CPU and a memory of the cloud host is too large, and sends a service suspension command to the cloud host when the service consumption of the CPU and the memory of the cloud host is too large, namely when the service consumption of the cloud host resource reaches a preset threshold value, so as to suspend a target service and reduce the consumption of the service on the CPU and the memory.
In a specific embodiment, sending a service suspension command to the cloud host through the libvirt daemon to suspend a target service includes: respectively calculating the sum of the CPU occupancy rate and the memory occupancy rate of each service; comparing the priority of each service; if the priorities of the services are different, suspending the service with the lowest priority; if the priority of each service is the same, comparing the sum of the CPU occupancy rate and the memory occupancy rate of each service, and suspending the service with the maximum sum of the CPU occupancy rate and the memory occupancy rate.
Specifically, each service is prioritized according to the importance level of each service within the cloud host. When the target service, namely the service to be suspended, is determined, the sum of the CPU occupancy rate and the memory occupancy rate of each service is respectively calculated, and the sum of the CPU occupancy rate and the memory occupancy rate is used as a weight ratio. Firstly, comparing the priority of each service; if the priorities of the services are different, suspending the service with the lowest priority; and if the priorities of the services are the same, comparing the weight ratios of the services, and suspending the service with the largest weight ratio.
That is, when a certain service or certain services in the cloud host are suspended, the service with high priority is preferentially ensured to run, and for the service with the same priority, the service with high CPU and memory occupancy rate is preferentially suspended.
For example, the priority of service 1, service 2, and service 3 is high priority, medium priority, and low priority in this order, and at this time, service 3 is suspended preferentially when the service is suspended.
For another example, if the priorities of the service 1, the service 2, and the service 3 are the same and are all of medium priority, and the sum of the CPU occupancy and the memory occupancy of the service 1 is 30%, at this time, the sum of the CPU occupancy and the memory occupancy of the service 2 is 35%, and the sum of the CPU occupancy and the memory occupancy of the service 3 is 25%, the service 2 is preferentially suspended when the service is suspended for the service 1, the service 2, and the service 3 having the same priority.
After the consumption of the service on the cloud host resources is reduced to be below the preset threshold, the cloud platform can further issue a service operation command to the cloud host to resume the suspended service to operate again.
Further, on the basis of the above embodiment, as a specific implementation manner, the method further includes: and after receiving a closing instruction, closing the automatic cloud host service processing mechanism.
Specifically, an operator can manually issue a closing instruction, the cloud platform closes the cloud host service automatic processing mechanism after receiving the closing instruction, and the subsequent cloud platform does not automatically analyze and judge the service signal of the cloud host.
In summary, the cloud host service management method provided by the present application includes: installing a qemu-guest-agent tool inside the cloud host; sending a business operation command to the cloud host through a libvirt daemon process so that the cloud host executes business operation corresponding to the business operation command; receiving business information sent by the cloud host through the qemu-guest-agent tool, and displaying the business information; when a cloud host service automatic processing mechanism is started, analyzing the service information, and when the consumption of the service on the cloud host resources reaches a preset threshold value, sending a service pause command to the cloud host through the libvirt daemon process so as to pause a target service. According to the cloud host service management method, the libvirt and qemu virtualization technologies are adopted to realize communication between the cloud platform and the cloud host, on the basis, the cloud platform is used for operating the internal service of the cloud host, displaying the service information of the cloud host and automatically processing the service in the cloud host, so that the efficient management of the service of the cloud host can be realized, and the stable operation of the cloud host is ensured.
The application also provides a cloud host business management device, and the device described below can be referred to in correspondence with the method described above. Referring to fig. 2, fig. 2 is a schematic view of a cloud host service management apparatus according to an embodiment of the present application, and referring to fig. 2, the apparatus includes:
the installation module 10 is used for installing a qemu-guest-agent tool inside the cloud host;
a sending module 20, configured to send a service operation command to the cloud host through a libvirt daemon process, so that the cloud host executes a service operation corresponding to the service operation command;
the receiving module 30 is configured to receive service information sent by the cloud host through the qemu-guest-agent tool, and display the service information;
and the analysis module 40 is configured to analyze the service information when a cloud host service automatic processing mechanism is started, and send a service suspension command to the cloud host through the libvirt daemon process to suspend a target service when the consumption of the service on the cloud host resources reaches a preset threshold.
On the basis of the above embodiment, optionally, the analysis module 40 includes:
the computing unit is used for respectively computing the sum of the CPU occupancy rate and the memory occupancy rate of each service;
a comparing unit, configured to compare priorities of the services;
a first suspension module, configured to suspend the service with the lowest priority if the priorities of the services are different;
and the second pause module is used for comparing the sum of the CPU occupancy rate and the memory occupancy rate of each service if the priority of each service is the same, and pausing the service with the maximum sum of the CPU occupancy rate and the memory occupancy rate.
On the basis of the foregoing embodiment, optionally, the receiving module 30 is specifically configured to display the service information on an OpenStack cloud platform.
On the basis of the foregoing embodiment, optionally, the receiving module 30 is specifically configured to receive the service information that is regularly collected by the cloud host and is regularly sent by the qemu-guest-agent tool.
On the basis of the above embodiment, optionally, the method further includes:
and the closing module is used for closing the automatic cloud host service processing mechanism after receiving a closing instruction.
The present application also provides a cloud host service management device, which is shown in fig. 3 and includes a memory 1 and a processor 2.
A memory 1 for storing a computer program;
a processor 2 for executing a computer program to implement the steps of:
installing a qemu-guest-agent tool inside the cloud host; sending a business operation command to the cloud host through a libvirt daemon process so that the cloud host executes business operation corresponding to the business operation command; receiving business information sent by the cloud host through the qemu-guest-agent tool, and displaying the business information; when a cloud host service automatic processing mechanism is started, analyzing the service information, and when the consumption of the service on the cloud host resources reaches a preset threshold value, sending a service pause command to the cloud host through the libvirt daemon process so as to pause a target service.
For the introduction of the device provided in the present application, please refer to the above method embodiment, which is not described herein again.
The present application further provides a computer readable storage medium having a computer program stored thereon, which when executed by a processor, performs the steps of:
installing a qemu-guest-agent tool inside the cloud host; sending a business operation command to the cloud host through a libvirt daemon process so that the cloud host executes business operation corresponding to the business operation command; receiving business information sent by the cloud host through the qemu-guest-agent tool, and displaying the business information; when a cloud host service automatic processing mechanism is started, analyzing the service information, and when the consumption of the service on the cloud host resources reaches a preset threshold value, sending a service pause command to the cloud host through the libvirt daemon process so as to pause a target service.
The computer-readable storage medium may include: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
For the introduction of the computer-readable storage medium provided in the present application, please refer to the above method embodiments, which are not described herein again.
The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device, the apparatus and the computer-readable storage medium disclosed by the embodiments correspond to the method disclosed by the embodiments, so that the description is simple, and the relevant points can be referred to the description of the method.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The cloud host service management method, the cloud host service management device, the cloud host service management equipment and the computer-readable storage medium provided by the application are described in detail above. The principles and embodiments of the present application are explained herein using specific examples, which are provided only to help understand the method and the core idea of the present application. It should be noted that, for those skilled in the art, it is possible to make several improvements and modifications to the present application without departing from the principle of the present application, and such improvements and modifications also fall within the scope of the claims of the present application.

Claims (10)

1. A cloud host business management method is characterized by comprising the following steps:
installing a qemu-guest-agent tool inside the cloud host;
sending a business operation command to the cloud host through a libvirt daemon process so that the cloud host executes business operation corresponding to the business operation command;
receiving business information sent by the cloud host through the qemu-guest-agent tool, and displaying the business information;
when a cloud host service automatic processing mechanism is started, analyzing the service information, and when the consumption of the service on the cloud host resources reaches a preset threshold value, sending a service pause command to the cloud host through the libvirt daemon process so as to pause a target service.
2. The cloud host traffic management method according to claim 1, wherein the sending, by the libvirt daemon, a traffic pause command to the cloud host to pause a target traffic comprises:
respectively calculating the sum of the CPU occupancy rate and the memory occupancy rate of each service;
comparing the priority of each service;
if the priorities of the services are different, suspending the service with the lowest priority;
if the priority of each service is the same, comparing the sum of the CPU occupancy rate and the memory occupancy rate of each service, and suspending the service with the maximum sum of the CPU occupancy rate and the memory occupancy rate.
3. The cloud host business management method of claim 2, wherein the presenting the business information comprises:
and displaying the service information on the OpenStack cloud platform.
4. The cloud host business management method of claim 3, wherein the receiving the business information sent by the cloud host through the qemu-guest-agent tool comprises:
and receiving the service information which is regularly collected and regularly sent by the cloud host through the qemu-guest-agent tool.
5. The cloud host traffic management method of claim 4, further comprising:
and after receiving a closing instruction, closing the automatic cloud host service processing mechanism.
6. A cloud host business management device, comprising:
the installation module is used for installing a qemu-guest-agent tool inside the cloud host;
the sending module is used for sending a business operation command to the cloud host through a libvirt daemon process so as to enable the cloud host to execute business operation corresponding to the business operation command;
the receiving module is used for receiving the service information sent by the cloud host through the qemu-guest-agent tool and displaying the service information;
and the analysis module is used for analyzing the service information when a cloud host service automatic processing mechanism is started, and sending a service pause command to the cloud host through the libvirt daemon process to pause a target service when the consumption of the service on the cloud host resources reaches a preset threshold value.
7. The cloud host traffic management apparatus of claim 6, wherein the analysis module comprises:
the computing unit is used for respectively computing the sum of the CPU occupancy rate and the memory occupancy rate of each service;
a comparing unit, configured to compare priorities of the services;
a first suspension module, configured to suspend the service with the lowest priority if the priorities of the services are different;
and the second pause module is used for comparing the sum of the CPU occupancy rate and the memory occupancy rate of each service if the priority of each service is the same, and pausing the service with the maximum sum of the CPU occupancy rate and the memory occupancy rate.
8. The cloud host traffic management method of claim 7, further comprising:
and the closing module is used for closing the automatic cloud host service processing mechanism after receiving a closing instruction.
9. A cloud host business management device, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the cloud host traffic management method according to any one of claims 1 to 5 when executing the 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 cloud host traffic management method according to any one of claims 1 to 5.
CN202011568333.6A 2020-12-25 2020-12-25 Cloud host business management method and related device Pending CN112737835A (en)

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CN113438136B (en) * 2021-08-27 2021-11-19 苏州浪潮智能科技有限公司 Application service monitoring method and device, electronic equipment and readable storage medium
CN114461297A (en) * 2021-12-30 2022-05-10 天翼云科技有限公司 Method and device for adjusting processor characteristic information

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Application publication date: 20210430