CN113900769A - Virtual machine monitoring method based on heterogeneous cloud computing environment - Google Patents
Virtual machine monitoring method based on heterogeneous cloud computing environment Download PDFInfo
- Publication number
- CN113900769A CN113900769A CN202111122317.9A CN202111122317A CN113900769A CN 113900769 A CN113900769 A CN 113900769A CN 202111122317 A CN202111122317 A CN 202111122317A CN 113900769 A CN113900769 A CN 113900769A
- Authority
- CN
- China
- Prior art keywords
- virtual machine
- component
- monitoring
- heterogeneous cloud
- index
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 115
- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000011156 evaluation Methods 0.000 claims abstract description 15
- 238000004458 analytical method Methods 0.000 claims description 12
- 238000009826 distribution Methods 0.000 claims description 7
- 238000005259 measurement Methods 0.000 claims description 7
- 230000002159 abnormal effect Effects 0.000 description 5
- 238000012423 maintenance Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 230000036541 health Effects 0.000 description 3
- 230000009471 action Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000013515 script Methods 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/3006—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/301—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system is a virtual computing platform, e.g. logically partitioned systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/32—Monitoring with visual or acoustical indication of the functioning of the machine
- G06F11/324—Display of status information
- G06F11/327—Alarm or error message display
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/45595—Network integration; Enabling network access in virtual machine instances
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computing Systems (AREA)
- Software Systems (AREA)
- Quality & Reliability (AREA)
- Mathematical Physics (AREA)
- Debugging And Monitoring (AREA)
Abstract
The invention discloses a virtual machine monitoring method based on a heterogeneous cloud computing environment, and relates to the technical field of virtual machine monitoring; the heterogeneous cloud platform collects various index monitoring information of the virtual machine in real time by arranging an Agent component in the virtual machine under an IaaS mode, collects and distributes the index monitoring information by utilizing a monitoring bus RabbitMQ component, analyzes the index monitoring information in real time by utilizing a Ceilometer component, performs alarm evaluation according to the analyzed index monitoring information, and displays the index monitoring information and an alarm result through a Web front end.
Description
Technical Field
The invention discloses a method, relates to the technical field of virtual machine monitoring, and particularly relates to a virtual machine monitoring method based on a heterogeneous cloud computing environment.
Background
The cloud computing platform is adapted to basic resources of a bottom layer, an application operation environment is provided for an upper-layer business system, resources such as computing, storage, network, security, a database, big data computing, multimedia processing, application middleware, a general application supporting component and the like are packaged into service, the IaaS and PaaS fields are covered comprehensively, the technical difficulty of the bottom layer is shielded, the service requirements of customers with different roles in the ecological environment are met, and rich services in different fields and different levels are provided for further data analysis and application innovation.
In a practical production environment, various problems are faced in managing virtual machines, such as: the cluster service monitoring condition cannot be checked; the virtual machine is abnormal and has no early warning in time; the load of the virtual machine is continuously too high, and the downtime risk exists; operation and maintenance personnel need to cross a plurality of IaaS platforms to check monitoring and warning information, so that the problems of high operation and maintenance cost and the like are caused, and the fault problem is easily found out untimely due to poor supervision.
Disclosure of Invention
The invention provides a virtual machine monitoring method based on a heterogeneous cloud computing environment, which aims at solving the problems of the prior art, is particularly suitable for the situation that a plurality of heterogeneous resource pools exist in the cloud computing environment, and the operating systems of virtual machines in the resource pools are various in types and quantity, and can solve the problems that the virtual machines cannot be uniformly monitored in real time, abnormal alarms and the like.
The specific scheme provided by the invention is as follows:
a virtual machine monitoring method based on a heterogeneous cloud computing environment is characterized in that under an IaaS mode, a heterogeneous cloud platform collects various index monitoring information of a virtual machine in real time through an Agent component arranged in the virtual machine, the index monitoring information is collected and distributed through a monitoring bus RabbitMQ component, the index monitoring information is analyzed through a Ceilometer component in real time, alarm evaluation is conducted according to the analyzed index monitoring information, and the index monitoring information and an alarm result are displayed through a Web front end.
Further, in the method for monitoring the virtual machine based on the heterogeneous cloud computing environment, an Agent component is installed and deployed in the virtual machine through a heterogeneous cloud platform, and various asynchronous operation and management instructions issued by the heterogeneous cloud platform are received through the Agent component.
Further, in the virtual machine monitoring method based on the heterogeneous cloud computing environment, the monitoring bus RabbitMQ component is configured through the heterogeneous cloud platform, the index monitoring information is collected through the RabbitMQ component, the index monitoring information is collected, and the collected index monitoring information is distributed to the Ceilometer component.
Further, in the virtual machine monitoring method based on the heterogeneous cloud computing environment, the Ceilometer component is configured through the heterogeneous cloud platform, original monitoring index information is obtained through the Ceilometer component, monitoring analysis is carried out, and alarm measurement is set.
A virtual machine monitoring system based on heterogeneous cloud computing environment is characterized by comprising an acquisition module, a distribution module, an analysis evaluation module and a display module,
the heterogeneous cloud platform is in an IaaS mode, the acquisition module acquires various index monitoring information of the virtual machine in real time through an Agent component built in the virtual machine, the distribution module collects and distributes the index monitoring information through a monitoring bus RabbitMQ component, the analysis and evaluation module analyzes the index monitoring information in real time through a Ceilometer component and carries out alarm evaluation according to the analyzed index monitoring information, and the display module displays the index monitoring information and alarm results through a Web front end.
Further, the virtual machine monitoring system based on the heterogeneous cloud computing environment further comprises a deployment module, the deployment module installs a deployment Agent component in the virtual machine through the heterogeneous cloud platform, and receives various asynchronous operation and management instructions issued by the heterogeneous cloud platform through the Agent component.
Further, in the virtual machine monitoring system based on the heterogeneous cloud computing environment, the deployment module configures a monitoring bus RabbitMQ component through a heterogeneous cloud platform, index monitoring information is collected through the RabbitMQ component, the index monitoring information is collected, and the collected index monitoring information is distributed to the Ceilometer component.
Further, the deployment module in the virtual machine monitoring system based on the heterogeneous cloud computing environment configures a Ceilometer component through a heterogeneous cloud platform, and original monitoring index information is obtained through the Ceilometer component for monitoring analysis and alarm measurement setting.
The invention has the advantages that:
the invention provides a virtual machine monitoring method based on a heterogeneous cloud computing environment, and provides a uniform monitoring and alarming method for virtual machines in the heterogeneous cloud computing environment.
Drawings
FIG. 1 is a schematic diagram of the system architecture of the present invention.
FIG. 2 is a schematic flow diagram of the process of the present invention.
Detailed Description
The present invention is further described below in conjunction with the following figures and specific examples so that those skilled in the art may better understand the present invention and practice it, but the examples are not intended to limit the present invention.
The virtual machine (ECS) is a flexible and dynamic computing capability delivered on demand according to the hardware configuration, operating system and network desired by the user. The virtual machine service supports horizontal expansion of a virtual machine instance based on the load balancing service and also supports vertical expansion based on specification upgrading of the virtual machine.
The related RabbitMQ is an open source message queue system developed by Erlang language and is realized based on an AMQP protocol. The main features of AMQP are message oriented, queue, routing (including point-to-point and publish/subscribe), reliability, security. The AMQP protocol is more used in an enterprise system, and has high requirements on data consistency, stability and reliability.
The related agents are embedded in software in a virtual machine mirror image template and are developed based on python.
The cenometer involved was developed as a sub-project of OpenStack, able to process events analyzing various resources, monitor information, and then provide data support for billing and monitoring and other services.
The invention provides a virtual machine monitoring method based on a heterogeneous cloud computing environment, wherein a heterogeneous cloud platform collects various index monitoring information of a virtual machine in real time by arranging an Agent component in the virtual machine in an IaaS mode, collects and distributes the index monitoring information by using a RabbittMQ component of a monitoring bus, analyzes the index monitoring information in real time by using a Ceilometer component, performs alarm evaluation according to the analyzed index monitoring information, and displays the index monitoring information and an alarm result through a Web front end.
The method provides a uniform monitoring and alarming method for the virtual machine in the heterogeneous cloud computing environment, and by the method, the virtual machine in the heterogeneous IaaS resource pool can be monitored in real time, abnormal timely alarming is achieved, operation and maintenance cost is reduced, and service efficiency is improved.
In specific application, in some embodiments of the method of the present invention, before monitoring and alarm management of a virtual machine by a cloud platform is implemented, data synchronization, mirror image synchronization, full-life-cycle management of the virtual machine, and the like of a bottom resource pool are implemented by scheduling a northbound interface of IaaS.
The deployment Agent assembly is installed in the virtual machine, so that various asynchronous operation and management instructions issued by the cloud platform can be conveniently received, and automatic deployment and full-life-cycle management of the virtual machine are realized;
the monitoring bus RabbitMQ component is configured to realize the collection and distribution of the monitoring information of the service component;
the monitoring information analysis and health condition calculation and evaluation functions of the virtual machine are realized by configuring a monitoring alarm measurement Ceilometer component.
Through the configuration, the monitoring indexes and the monitoring scripts of the virtual machine can be further set, various index items and collection methods of the various index items are defined, the alarm index threshold value and the alarm notification action of each index item are set, and the health condition evaluation and the real-time notification of abnormal information of the virtual machine are realized.
When real-time monitoring is carried out, hardware monitoring indexes such as a virtual machine memory, a CPU (central processing unit), a hard disk and a network are collected in real time through an Agent component arranged in the virtual machine, software index information such as the running state and health of the cloud virtual machine is collected in real time, and the software index information is gathered to a monitoring bus RabbitMQ.
And acquiring an original monitoring index from a monitoring bus RabbitMQ through a Ceilometer component, performing monitoring analysis and alarm measurement, and returning a measurement result to the monitoring bus.
The platform acquires the processed monitoring and alarm information from the monitoring bus, and analyzes, summarizes and persists the information to a platform database. And for the alarm, the platform informs the platform user in real time according to the alarm informing action in the step two.
And the platform uniformly displays the monitoring information and the alarm information of the virtual machines under all IaaS through the Web front end.
The invention also provides a virtual machine monitoring system based on the heterogeneous cloud computing environment, which is characterized by comprising an acquisition module, a distribution module, an analysis evaluation module and a display module,
the heterogeneous cloud platform is in an IaaS mode, the acquisition module acquires various index monitoring information of the virtual machine in real time through an Agent component built in the virtual machine, the distribution module collects and distributes the index monitoring information through a monitoring bus RabbitMQ component, the analysis and evaluation module analyzes the index monitoring information in real time through a Ceilometer component and carries out alarm evaluation according to the analyzed index monitoring information, and the display module displays the index monitoring information and alarm results through a Web front end.
The information interaction, execution process and other contents between the modules in the system are based on the same concept as the method embodiment of the present invention, and specific contents can be referred to the description in the method embodiment of the present invention, and are not described herein again.
Similarly, the system can realize real-time monitoring of the virtual machine under the heterogeneous IaaS resource pool, alarm in time when abnormal conditions occur, reduce operation and maintenance cost and improve service efficiency.
It should be noted that not all steps and modules in the processes and system structures in the preferred embodiments are necessary, and some steps or modules may be omitted according to actual needs. The execution order of the steps is not fixed and can be adjusted as required. The system structure described in the above embodiments may be a physical structure or a logical structure, that is, some modules may be implemented by the same physical entity, or some modules may be implemented by a plurality of physical entities, or some components in a plurality of independent devices may be implemented together.
The above-mentioned embodiments are merely preferred embodiments for fully illustrating the present invention, and the scope of the present invention is not limited thereto. The equivalent substitution or change made by the technical personnel in the technical field on the basis of the invention is all within the protection scope of the invention. The protection scope of the invention is subject to the claims.
Claims (8)
1. A virtual machine monitoring method based on a heterogeneous cloud computing environment is characterized in that a heterogeneous cloud platform collects various index monitoring information of a virtual machine in real time through an Agent component arranged in the virtual machine in an IaaS mode, the index monitoring information is collected and distributed through a RabbittMQ component of a monitoring bus, the index monitoring information is analyzed in real time through a Ceilometer component, alarm evaluation is conducted according to the analyzed index monitoring information, and the index monitoring information and an alarm result are displayed through a Web front end.
2. The method for monitoring the virtual machine based on the heterogeneous cloud computing environment as claimed in claim 1, wherein an Agent component is installed and deployed in the virtual machine through the heterogeneous cloud platform, and various asynchronous operation and management instructions issued by the heterogeneous cloud platform are received through the Agent component.
3. The method for monitoring the virtual machine in the heterogeneous cloud computing environment according to claim 1 or 2, wherein a monitoring bus RabbitMQ component is configured through a heterogeneous cloud platform, index monitoring information is collected through the RabbitMQ component, the index monitoring information is collected, and the collected index monitoring information is distributed to a Ceilometer component.
4. The method for monitoring the virtual machine based on the heterogeneous cloud computing environment as claimed in claim 1, wherein a Ceilometer component is configured through a heterogeneous cloud platform, and original monitoring index information is obtained through the Ceilometer component for monitoring analysis and alarm measurement setting.
5. A virtual machine monitoring system based on heterogeneous cloud computing environment is characterized by comprising an acquisition module, a distribution module, an analysis evaluation module and a display module,
the heterogeneous cloud platform is in an IaaS mode, the acquisition module acquires various index monitoring information of the virtual machine in real time through an Agent component built in the virtual machine, the distribution module collects and distributes the index monitoring information through a monitoring bus RabbitMQ component, the analysis and evaluation module analyzes the index monitoring information in real time through a Ceilometer component and carries out alarm evaluation according to the analyzed index monitoring information, and the display module displays the index monitoring information and alarm results through a Web front end.
6. The virtual machine monitoring system based on the heterogeneous cloud computing environment as claimed in claim 5, further comprising a deployment module, wherein the deployment module installs a deployment Agent component in the virtual machine through the heterogeneous cloud platform, and receives various asynchronous operation and management instructions issued by the heterogeneous cloud platform through the Agent component.
7. The virtual machine monitoring system according to claim 6, wherein the deployment module configures a rabbitMQ component of the monitoring bus through a heterogeneous cloud platform, collects index monitoring information through the rabbitMQ component, collects the index monitoring information, and distributes the collected index monitoring information to the Ceilometer component.
8. The virtual machine monitoring system based on the heterogeneous cloud computing environment as claimed in claim 6 or 7, wherein the deployment module configures a Ceilometer component through the heterogeneous cloud platform, and the Ceilometer component obtains original monitoring index information for monitoring analysis and setting alarm measurement.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111122317.9A CN113900769A (en) | 2021-09-24 | 2021-09-24 | Virtual machine monitoring method based on heterogeneous cloud computing environment |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111122317.9A CN113900769A (en) | 2021-09-24 | 2021-09-24 | Virtual machine monitoring method based on heterogeneous cloud computing environment |
Publications (1)
Publication Number | Publication Date |
---|---|
CN113900769A true CN113900769A (en) | 2022-01-07 |
Family
ID=79029332
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202111122317.9A Pending CN113900769A (en) | 2021-09-24 | 2021-09-24 | Virtual machine monitoring method based on heterogeneous cloud computing environment |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113900769A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116594740A (en) * | 2023-07-18 | 2023-08-15 | 浪潮软件科技有限公司 | Polymorphic application cloud loading method based on industry heterogeneous cloud environment |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110175451A (en) * | 2019-04-23 | 2019-08-27 | 国家电网公司华东分部 | A kind of method for safety monitoring and system based on electric power cloud |
-
2021
- 2021-09-24 CN CN202111122317.9A patent/CN113900769A/en active Pending
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110175451A (en) * | 2019-04-23 | 2019-08-27 | 国家电网公司华东分部 | A kind of method for safety monitoring and system based on electric power cloud |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116594740A (en) * | 2023-07-18 | 2023-08-15 | 浪潮软件科技有限公司 | Polymorphic application cloud loading method based on industry heterogeneous cloud environment |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107729214B (en) | Visual distributed system real-time monitoring operation and maintenance method and device | |
CN111049705B (en) | Method and device for monitoring distributed storage system | |
US20200042428A1 (en) | User interface for specifying data stream processing language programs for analyzing instrumented software | |
US9275172B2 (en) | Systems and methods for analyzing performance of virtual environments | |
US9921877B2 (en) | Intelligent auto-scaling | |
KR101971013B1 (en) | Cloud infra real time analysis system based on big date and the providing method thereof | |
US20150254969A1 (en) | Method and system for providing aggregated network alarms | |
CN105471671A (en) | Method for customizing monitoring rules of cloud platform resources | |
CN110046070B (en) | Monitoring method and device of server cluster system, electronic equipment and storage medium | |
CN105871957B (en) | Monitoring framework design method and monitoring server, agent unit, control server | |
CN111580934A (en) | Resource allocation method for consistent performance of multi-tenant virtual machines in cloud computing environment | |
CN109245966A (en) | The monitoring method and device of the service state of cloud platform | |
Birje et al. | Cloud monitoring system: basics, phases and challenges | |
CN112965874A (en) | Configurable monitoring alarm method and system | |
CN107291594A (en) | The device and method that openstack platforms are monitored and managed to ceph | |
CN114625597A (en) | Monitoring operation and maintenance system, method and device, electronic equipment and storage medium | |
CN111625418A (en) | Process monitoring method and device | |
CN107566172B (en) | Active management method and system based on storage system | |
CN113900769A (en) | Virtual machine monitoring method based on heterogeneous cloud computing environment | |
CN104572232A (en) | Agentless baseline profile compilation for application monitoring solution | |
CN112149975B (en) | APM monitoring system and method based on artificial intelligence | |
US9356848B2 (en) | Monitoring apparatus, monitoring method, and non-transitory storage medium | |
CN111274032A (en) | Task processing system and method, and storage medium | |
CN111240936A (en) | Data integrity checking method and equipment | |
CN109766238B (en) | Session number-based operation and maintenance platform performance monitoring method and device and related equipment |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |