CN112822287A - Cloud cluster server system monitoring method - Google Patents
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- CN112822287A CN112822287A CN202110121143.8A CN202110121143A CN112822287A CN 112822287 A CN112822287 A CN 112822287A CN 202110121143 A CN202110121143 A CN 202110121143A CN 112822287 A CN112822287 A CN 112822287A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 154
- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000007726 management method Methods 0.000 claims abstract description 100
- 238000013523 data management Methods 0.000 claims abstract description 10
- 238000006243 chemical reaction Methods 0.000 claims description 7
- 238000012423 maintenance Methods 0.000 claims description 7
- 230000001105 regulatory effect Effects 0.000 claims description 6
- 230000000717 retained effect Effects 0.000 claims description 3
- 230000001960 triggered effect Effects 0.000 claims description 3
- 230000001934 delay Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1004—Server selection for load balancing
- H04L67/1008—Server selection for load balancing based on parameters of servers, e.g. available memory or workload
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- General Engineering & Computer Science (AREA)
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Abstract
The invention relates to the technical field of internet, in particular to a cloud cluster server system monitoring method, which uses a WEB-based monitoring management mode to remotely manage and monitor and dispatch a monitored server cluster directly through a webpage, wherein the cloud cluster server system monitoring management selects a browser/server-based mode, and monitors and manages the cluster through a distributed management structure combined with a cloud idea. The invention has the advantages that the network database is detected and managed by using the master server in a classified manner, the data management system of the master server provides an access and management entrance of the server cloud cluster monitoring and management system for the management client, and the access and management entrance is directly issued to the internet by adopting a web monitoring interface based on a B/S mode, so that any management client can check the state of the server cluster system in a web form through a direct browser of the internet on the comprehensive unified management interface without carrying out system configuration on each client one by one.
Description
Technical Field
The invention relates to the technical field of internet, in particular to a cloud cluster server system monitoring method.
Background
As the internet enters the cloud computing era, various traditional network platforms and applications need to adapt to new cloud computing-based network environments, and traditional network-based IT infrastructures also need to be gradually migrated into cloud computing-based architectures. Since various traditional IT business systems of at home and abroad IT enterprises have been gradually transferred to a cloud computing platform, so as to realize applications based on cloud computing and provide cloud services, how to effectively monitor, operate and maintain network systems such as cluster servers and the like in a cloud environment based on a cloud computing environment, and ensure that the network systems in the cloud computing environment can continuously operate normally and with high performance is a research subject which needs to be solved. In order to monitor and manage a cluster server system in a cloud environment well, a monitoring and management method for the cloud cluster server system needs to be researched, and a set of cloud cluster server monitoring and management system is constructed to solve many problems faced by an enterprise in cloud computing IT (information technology) resource management and guarantee efficient and continuous operation of the cloud cluster server system.
Chinese patent No. CN105791028A provides a method for monitoring a server cluster, which includes: collecting operation information of each device in a server cluster, performing language conversion on the operation information to obtain monitoring information, and storing the monitoring information into a database in a classified manner according to the device and the information type of the monitoring information; and outputting the running state of the equipment corresponding to the equipment label according to the equipment label input by the user. Therefore, the method can monitor a plurality of devices simultaneously and output the running states of the corresponding devices according to the requirements of users. In addition, the invention also discloses a monitoring device and a system of the server cluster.
However, in the existing monitoring method for the server cluster, a client/server S) mode monitoring system is usually adopted, and not only a monitoring management system needs to be deployed at a server end, but also an agent management program needs to be installed for each management client and configured one by one, and in the face of a cloud computing environment with a large number of servers and applications and a complex heterogeneous network structure, the cloud computing cluster server monitoring management system is constructed by using such a system deployment architecture and manner, which is very labor-consuming.
Disclosure of Invention
The present invention aims to provide a cloud cluster server system monitoring method, so as to solve the problems that not only a monitoring management system needs to be deployed at a server end, but also an agent management program needs to be installed for each management client and configured one by one, which are proposed in the background art.
The technical scheme of the invention is as follows: a cloud cluster server system monitoring method uses a WEB-based monitoring management mode to remotely manage and monitor and dispatch a monitored server cluster directly through a webpage, adopts a browser/server-based mode for monitoring and management of the cloud cluster server system, and carries out cluster monitoring and management through a distributed management structure combined with a cloud idea, and comprises the following steps:
s1, deploying a monitored server cluster in a distributed mode, and dividing the monitored server into a plurality of server sub-clusters;
s2, monitoring the performance and operation and maintenance management of a server sub-cluster in the server cluster system by a plurality of monitoring management servers through a monitoring architecture based on a binding technology, monitoring various monitoring indexes of the performance of the reaction resources in the servers under each sub-cluster, and centralizing the performance data and information of each monitored server on a network database to realize the control of the performance state of the whole cloud cluster, and then managing and scheduling the server sub-cluster according to the various monitoring indexes of the performance of the reaction resources to ensure the load balance of the cluster system under the cloud environment;
s3, constructing a data management system on the main server, connecting the main server with the network database and each monitoring management server through a network, the data management system provides access and management entrance of the cloud cluster monitoring management system for management clients, the overall performance state of the monitored server cluster system is displayed in a window form to form a comprehensive unified management interface, then each server under the server cluster is monitored and managed, a web monitoring interface based on a B/S mode is adopted to directly release the access and management entrance to the Internet, so that any one management client can be in the form of web through an internet direct browser, the state of the server cluster system is checked in the comprehensive unified management interface, so that the performance state of the whole server cluster system in the cloud can be known, and the whole server cluster system can be regulated, controlled and managed.
Further, in S1, each server sub-cluster includes several servers, and the number of servers in each server sub-cluster may be different in scale.
Further, each monitoring management server in the monitoring system in S2 is connected to one or more sub-server clusters, so as to form multiple sets of sub-monitoring subsystems.
Furthermore, the monitoring subsystems are responsible for managing one or more clusters, performing performance monitoring and monitoring data acquisition on servers in the clusters, forming a plurality of parallel monitoring acquisition mirror images by the plurality of monitoring subsystems, binding the plurality of monitoring acquisition subsystems, connecting the monitoring subsystems through the load balancing processor, and distributing monitoring acquisition tasks according to actual loads of the monitoring acquisition subsystems so as to realize the sharing and balancing of monitoring and managing loads.
Further, the various types of monitoring indicators in S2 include performance indicators of hardware aspects of the physical servers and response delays of specific applications in the server cluster system.
Further, in S2, the management and scheduling of the server sub-cluster according to various monitoring indicators reflecting the resource performance includes the management and scheduling of the server sub-cluster according to the performance indicators in terms of the physical server hardware, and the management and scheduling of the server sub-cluster according to the response delay of the specific application in the server cluster system.
Further, the management and scheduling of the server sub-cluster according to the performance index of the physical server hardware aspect is performed, that is, the load condition of the server cluster is obtained by measuring the performance index of each physical server hardware aspect under the server cluster, when the load of the server cluster exceeds the upper limit of the load that can be borne by the server cluster, the load scheduling for the server cluster is triggered, and the load of each server in the server cluster is balanced by dynamically migrating the virtual machine in the server with overload in the server cluster.
Further, the management and the scheduling of the server sub-cluster are performed according to the response delay of the specific application in the server cluster system, that is, the response delay of the specific application in the server cluster is measured, the delay is used as a reference for judging the performance and the service quality of each server, and the scheduling and the regulation of the workload and various resources of the servers in the server cluster are performed based on the reference.
Further, in step S2, in order to accurately identify each monitored server host under the sub-server cluster, when the performance data and information of each monitored server are transmitted to the network database, a unique identifier needs to be assigned to each monitored server, and a unique ID needs to be assigned to each entity to represent and distinguish each monitored server.
Further, in the performance monitoring and operation and maintenance management in S2, the performance index data needs to be collected at regular time, and each performance index is collected every five minutes in each hour, so that the data of the previous hour formed by twelve data points is obtained, and the data is transmitted to the network database and retained for at least one week for each group of data.
The invention provides a cloud cluster server system monitoring method through improvement, compared with the prior art, the cloud cluster server system monitoring method has the following improvements and advantages:
(1) the invention uses the general server to classify, detect and manage the network database, provides the access and management entrance of the server cloud cluster monitoring and management system for the management client by the data management system of the general server, and directly issues the access and management entrance to the internet by adopting a web monitoring interface based on a B/S mode, so that any management client can check the state of the server cluster system in a web form through an internet direct browser, thereby not needing to carry out system configuration for each client one by one, greatly reducing the manpower consumption, and enabling an operator to carry out supervision operation on the server cloud cluster at any time and any place.
(2) The monitoring system adopts a distributed monitoring management architecture, the cluster is divided into a plurality of blocks, each block is used for collecting performance monitoring data by one set of monitoring subsystem, and the monitoring collecting load of the whole monitoring system is distributed to each monitoring subsystem by binding a plurality of sets of monitoring subsystems, so that the load of the monitoring system is reduced, and the load balance of the monitoring system is realized.
(3) According to the invention, a binding type supervision framework based on a distributed thought is adopted, and a server subgroup is divided into a plurality of sub-server clusters, so that the monitoring and data acquisition pressure of each monitoring management server is reduced, therefore, a traditional server or even a PC (personal computer) server in an original cluster can be used as a monitoring management server host, a new super server is not required to be specially purchased for supervising a large number of servers in the cluster in a cloud computing environment, the traditional IT infrastructure is effectively utilized, and the deployment cost of a monitoring management system is saved.
Detailed Description
The present invention will be described in detail below, and technical solutions in embodiments of the present invention will be clearly and completely described below. 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 invention.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
The invention provides a cloud cluster server system monitoring method through improvement, a monitoring management mode based on WEB is used, remote management and monitoring scheduling are directly carried out on a monitored server cluster through a webpage, a mode based on a browser/server is selected for the cloud cluster server system monitoring management, cluster monitoring and management are carried out through a distributed management structure combined with a cloud idea, and the method comprises the following steps:
s1, deploying a monitored server cluster in a distributed mode, and dividing the monitored server into a plurality of server sub-clusters;
s2, monitoring the performance and operation and maintenance management of a server sub-cluster in the server cluster system by a plurality of monitoring management servers through a monitoring architecture based on a binding technology, monitoring various monitoring indexes of the performance of the reaction resources in the servers under each sub-cluster, and centralizing the performance data and information of each monitored server on a network database to realize the control of the performance state of the whole cloud cluster, and then managing and scheduling the server sub-cluster according to the various monitoring indexes of the performance of the reaction resources to ensure the load balance of the cluster system under the cloud environment;
s3, constructing a data management system on the main server, connecting the main server with the network database and each monitoring management server through a network, the data management system provides access and management entrance of the cloud cluster monitoring management system for management clients, the overall performance state of the monitored server cluster system is displayed in a window form to form a comprehensive unified management interface, then each server under the server cluster is monitored and managed, a web monitoring interface based on a B/S mode is adopted to directly release the access and management entrance to the Internet, so that any one management client can be in the form of web through an internet direct browser, the state of the server cluster system is checked in the comprehensive unified management interface, so that the performance state of the whole server cluster system in the cloud can be known, and the whole server cluster system can be regulated, controlled and managed.
Further, S1 includes several servers in each server sub-cluster, and the number of servers in each server sub-cluster may be different in scale.
Further, each monitoring management server in the monitoring system in S2 is connected to one or several sub-server clusters, thereby forming a multi-set sub-monitoring subsystem.
Furthermore, the monitoring subsystems are responsible for managing one or more clusters, performing performance monitoring and monitoring data acquisition on servers in the clusters, forming a plurality of parallel monitoring acquisition mirror images by the plurality of monitoring subsystems, binding the plurality of monitoring acquisition subsystems, connecting each monitoring subsystem through the load balancing processor, and distributing monitoring acquisition tasks according to actual loads of the monitoring acquisition subsystems so as to realize the sharing and balancing of monitoring and managing loads.
Further, the various monitoring indicators in S2 include performance indicators of the hardware aspect of each physical server and response delay of the specific application in the server cluster system.
Further, in S2, the management and scheduling of the server sub-cluster according to various monitoring indicators reflecting the resource performance includes the management and scheduling of the server sub-cluster according to the performance indicators in terms of the physical server hardware, and the management and scheduling of the server sub-cluster according to the response delay of the specific application in the server cluster system.
Further, the server sub-clusters are managed and scheduled according to performance indexes of the physical server hardware, that is, the load condition of the server cluster is obtained by measuring the performance indexes of the physical server hardware under the server cluster, when the load of the server cluster exceeds the upper limit of the load which can be borne by the server cluster, the load scheduling of the server cluster is triggered, and the load of each server in the server cluster is balanced by dynamically migrating the virtual machine in the overloaded server in the server cluster.
Further, the server sub-clusters are managed and scheduled according to response delay of specific applications in the server cluster system, namely, the response delay of the specific applications in the server cluster is measured, the delay is used as a reference for judging the performance and the service quality of each server, and the workload and various resources of the servers in the server cluster are scheduled and regulated based on the delay.
Further, in order to accurately identify each monitored server host under the sub-server cluster in S2, when the performance data and information of each monitored server are transmitted to the network database, each monitored server needs to be assigned with a unique identifier, and each entity needs to be assigned with a unique ID to represent and distinguish each monitored server.
Further, in the performance monitoring and operation and maintenance management in S2, the performance index data needs to be collected at regular time, and each performance index is collected every five minutes in each hour, so that the data of the previous hour consisting of twelve data points is obtained, and the data is transmitted to the network database and retained for at least one week for each group of data.
The working principle of the invention is as follows: the cloud cluster server system monitoring management selects a browser/server-based mode, and carries out cluster monitoring and management through a distributed management structure combined with a cloud idea, wherein the monitored server cluster is deployed in a distributed mode and is divided into a plurality of server sub-clusters, each server sub-cluster comprises a plurality of servers, and the number and the scale of the servers in each server sub-cluster are possibly different; then, a supervision framework based on a binding technology is adopted, a plurality of monitoring management servers are used for monitoring the performance and operation and maintenance management of a server sub-cluster in a server cluster system, each monitoring management server is connected with one or a plurality of sub-server clusters, so that a plurality of sets of sub-monitoring subsystems are formed, the monitoring subsystems are used for managing one or a plurality of clusters, the performance monitoring and monitoring data acquisition are carried out on the servers in the clusters, the plurality of sets of monitoring subsystems form a plurality of parallel monitoring acquisition mirror images, then the plurality of sets of monitoring acquisition subsystems are bound, the monitoring subsystems are connected through a load balancing processor, monitoring acquisition tasks are distributed according to the actual load of each monitoring acquisition subsystem, and the performance indexes of each physical server hardware aspect of the reactive resource performance in the servers under each sub-cluster and the response delay of specific application in the server cluster system are monitored, collecting performance index data at regular time, collecting each performance index once every five minutes in each hour to obtain data of one hour before twelve data points are formed, transmitting the data to a network database, reserving each group of data for at least one week, then centralizing the performance data and information of each monitored server on the network database, in order to accurately identify each monitored server host under a sub-server cluster, when transmitting the performance data and information of each monitored server to the network database, allocating a unique identifier for each monitored server, and allocating a unique ID to each entity to represent and distinguish each monitored server, thereby realizing the control of the performance state of the whole cluster, then measuring the response delay of specific application in the server cluster, and using the delay as a reference for judging the performance and service quality of each server, scheduling and regulating the workload and various resources of the servers in the server cluster based on the load, obtaining the load condition of the server cluster by measuring the performance indexes of the hardware aspect of each physical server under the server cluster, triggering the load scheduling aiming at the server cluster when the load of the server cluster exceeds the upper limit of the load which can be born by the server cluster, and balancing the load of each server in the server cluster by dynamically migrating the virtual machine in the overloaded server in the server cluster; then, a data management system is constructed on the main server, and the main server is connected with the network database and each monitoring management server through a network, the data management system provides access and management entrance of the cloud cluster monitoring management system for management clients, the overall performance state of the monitored server cluster system is displayed in a window form to form a comprehensive unified management interface, then each server under the server cluster is monitored and managed, a web monitoring interface based on a B/S mode is adopted to directly release the access and management entrance to the Internet, so that any one management client can be in the form of web through an internet direct browser, the state of the server cluster system is checked in the comprehensive unified management interface, so that the performance state of the whole server cluster system in the cloud can be known, and the whole server cluster system can be regulated, controlled and managed.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. 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 invention. Thus, the present invention 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 cloud cluster server system monitoring method is characterized in that: the method comprises the following steps of using a WEB-based monitoring management mode to directly carry out remote management and monitoring scheduling on a monitored server cluster through a webpage, selecting a browser/server-based mode for monitoring and management of the cloud cluster server system, and carrying out cluster monitoring and management through a distributed management structure combined with a cloud idea, wherein the method comprises the following steps:
s1, deploying a monitored server cluster in a distributed mode, and dividing the monitored server into a plurality of server sub-clusters;
s2, monitoring the performance and operation and maintenance management of a server sub-cluster in the server cluster system by a plurality of monitoring management servers through a monitoring architecture based on a binding technology, monitoring various monitoring indexes of the performance of the reaction resources in the servers under each sub-cluster, and centralizing the performance data and information of each monitored server on a network database to realize the control of the performance state of the whole cloud cluster, and then managing and scheduling the server sub-cluster according to the various monitoring indexes of the performance of the reaction resources to ensure the load balance of the cluster system under the cloud environment;
s3, constructing a data management system on the main server, connecting the main server with the network database and each monitoring management server through a network, the data management system is used for providing access and management entrance of the cloud cluster monitoring management system for management clients, the overall performance state of the monitored server cluster system is displayed in a window form to form a comprehensive unified management interface, then each server under the server cluster is monitored and managed, a web monitoring interface based on a B/S mode is adopted to directly release the access and management entrance to the Internet, so that any one management client can be in the form of web through an internet direct browser, the state of the server cluster system is checked in the comprehensive unified management interface, so that the performance state of the whole server cluster system in the cloud can be known, and the whole server cluster system can be regulated, controlled and managed.
2. The cloud cluster server system monitoring method of claim 1, wherein: in S1, each server sub-cluster includes several servers, and the number of servers in each server sub-cluster may be different in scale.
3. The cloud cluster server system monitoring method of claim 1, wherein: each monitoring management server in the monitoring system in the S2 is connected with one or more sub server clusters, so as to form multiple sets of monitoring subsystems.
4. The cloud cluster server system monitoring method of claim 3, wherein: the monitoring subsystems are responsible for managing one or more clusters, performing performance monitoring and monitoring data acquisition on servers in the clusters, forming a plurality of parallel monitoring acquisition mirror images by the plurality of monitoring subsystems, binding the plurality of monitoring acquisition subsystems, connecting each monitoring subsystem through the load balancing processor, and distributing monitoring acquisition tasks according to actual loads of each monitoring acquisition subsystem so as to realize sharing and balancing of monitoring and managing loads.
5. The cloud cluster server system monitoring method of claim 1, wherein: the various monitoring indexes in S2 include performance indexes of the physical server hardware and response delay of the specific application in the server cluster system.
6. The cloud cluster server system monitoring method of claim 1, wherein: and in the step S2, managing and scheduling the server sub-cluster according to various monitoring indexes reflecting the resource performance, including managing and scheduling the server sub-cluster according to the performance indexes of the physical server hardware aspect, and managing and scheduling the server sub-cluster according to the response delay of the specific application in the server cluster system.
7. The cloud cluster server system monitoring method of claim 6, wherein: the management and scheduling of the server sub-cluster according to the performance indexes in the aspect of the physical server hardware are realized, that is, the load condition of the server cluster is obtained by measuring the performance indexes in the aspect of the physical server hardware under the server cluster, when the load of the server cluster exceeds the upper limit of the load which can be borne by the server cluster, the load scheduling aiming at the server cluster is triggered, and the load of each server in the server cluster is balanced by dynamically migrating the virtual machine in the overloaded server in the server cluster.
8. The cloud cluster server system monitoring method of claim 6, wherein: the management and the scheduling of the server sub-cluster are carried out according to the response delay of the specific application in the server cluster system, namely, the response delay of the specific application in the server cluster is measured, the delay is used as a reference for judging the performance and the service quality of each server, and the scheduling and the regulation and the control of the workload and various resources of the servers in the server cluster are carried out on the basis of the delay.
9. The cloud cluster server system monitoring method of claim 1, wherein: in S2, in order to accurately identify each monitored server host under the sub-server cluster, when the performance data and information of each monitored server are transmitted to the network database, a unique identifier needs to be assigned to each monitored server, and a unique ID needs to be assigned to each entity to represent and distinguish each monitored server.
10. The cloud cluster server system monitoring method of claim 1, wherein: in the S2, performance monitoring and operation and maintenance management, performance index data needs to be collected at regular time, each performance index is collected every five minutes in each hour, and data of the previous hour composed of twelve data points is obtained, and the data is transmitted to the network database and retained for at least one week for each group of data.
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Application publication date: 20210518 |