CN115051993A - Elastic expansion method of service virtual machine based on MC centralized management system - Google Patents
Elastic expansion method of service virtual machine based on MC centralized management system Download PDFInfo
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- CN115051993A CN115051993A CN202210622789.9A CN202210622789A CN115051993A CN 115051993 A CN115051993 A CN 115051993A CN 202210622789 A CN202210622789 A CN 202210622789A CN 115051993 A CN115051993 A CN 115051993A
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- 230000036541 health Effects 0.000 claims abstract description 12
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- 239000002699 waste material Substances 0.000 abstract description 3
- 238000007689 inspection Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000013480 data collection Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0893—Assignment of logical groups to network elements
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/22—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks comprising specially adapted graphical user interfaces [GUI]
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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]
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Abstract
The invention discloses a service virtual machine elastic expansion method based on an MC centralized management system, which comprises the steps of forming the centralized management system by golang and vue and providing a configuration page; configuring an elastic expansion strategy; configuring a virtual machine starting template; configuring an IP address pool of a service server; associating the corresponding configurations, wherein the virtual service is a unique KEY; associating an elastic expansion strategy, a virtual machine starting template and an IP address pool, configuring information on a Web page, and configuring elastic expansion strategy time by a background through the page; each associated task is in a set running time, and the health check and the service response time of each node under the monitored virtual service, the concurrency of the virtual service and the virtual service are timed; and restarting or deleting the nodes under the virtual service. The invention automatically and elastically stretches the virtual service through the virtual service performance data of the load balancer, thereby effectively solving the problems of uneven distribution of service server resources or resource waste.
Description
Technical Field
The invention relates to the technical field of communication, in particular to a service virtual machine elastic expansion method based on an MC centralized management system.
Background
Load balancing is a key component of the highly available network infrastructure, and is typically used to distribute workload across multiple servers to improve the performance and reliability of a website, application, database, or other service.
In a web architecture without load balancing, users are directly connected to a web server, and if the server is down, the users naturally have no way to access the web server. In addition, if many users attempt to access the server at the same time, beyond the limit they can handle, slow loading or no connection at all may occur.
And this failure can be mitigated by introducing a load balancer and additional web servers. Typically, all backend servers will guarantee the same content to be provided so that the user receives consistent content regardless of which server responds. The additional multiple web servers also share the load, relieving the pressure of a single web server and thereby processing more user requests.
The centralized management is realized by means of modern network communication technology and through a unified identity authentication mechanism, a plurality of associated subordinate systems or software and hardware are managed, so that the real-time sharing of data is realized, the management cost is low, the information flat management is realized, the authority management is realized, and the like.
The current implementation is that whether a service server for distributing traffic by a load balancer is overloaded or too idle is manually found, then a new server or a reduced server is correspondingly built, and corresponding nodes are removed from the load balancer or added.
The prior art has the following defects: in order to ensure the load balancing efficiency, the client core network arranges a large number of load balancers. Each load balancer distributes flow for n service servers, in order to guarantee large data access, a person needs to inspect in real time, whether the current service server responds to delay and whether the load balancer is over-stressed, service nodes are added or deleted on the corresponding load balancers, and a client can face the problems of access blockage, server downtime and the like under the condition of omission of manual inspection, so that the inspection problem time is too long, the labor cost, the management cost and the inspection problem cost are greatly increased; the problems that data collection is not timely, the states of a plurality of load balancing devices cannot be monitored in real time and the like are also revealed.
Therefore, a resilient scaling method for a service virtual machine based on an MC centralized management system is an urgent problem to be solved.
Disclosure of Invention
The invention aims to configure load balancing equipment under a plurality of client networks through a centralized management system, and visually display equipment system information; setting an elastic expansion strategy for the load-balanced virtual service; monitoring and acquiring concurrency, health check, response time and the like of service pool members (and service servers) under the virtual service; and when the performance data of the virtual service of the load balancer meets the elastic scaling condition, automatically and elastically scaling the service server under the OpenStack or VMware (vcenter/exsi) service.
In order to achieve the purpose, the technical scheme provided by the invention is as follows: a service virtual machine elastic expansion method based on an MC centralized management system comprises the following steps:
step 1, forming a centralized management system by golang and vue to provide a configuration page;
step 2, configuring an elastic expansion strategy;
the content comprises concurrency, health check and service response time; after the condition is triggered, correspondingly newly building or deleting or restarting a service server;
step 3, configuring a virtual machine starting template;
step 4, configuring an IP address pool of the service server;
step 5, associating the corresponding configurations, wherein the virtual service is the only KEY; associating an elastic expansion strategy, associating a virtual machine starting template, associating an IP address pool, taking out unoccupied IP from the service pool when a service server is newly built, and recovering the IP to the service pool when the service server is deleted;
step 6, after the Web page is configured with information, the background configures the elastic expansion operation time in a personalized manner by using a crond service through the elastic expansion strategy time configured by the page;
step 7, each associated task regularly checks the monitored virtual service, the concurrency of the virtual service, the health of each node under the virtual service and the service response time within the set running time;
step 8, adding or deleting nodes under the virtual service according to the strategy configuration of elastic expansion; restarting or deleting the nodes under the virtual service according to the health check configuration; and restarting or deleting the nodes under the virtual service according to the service response time configuration.
As an improvement, the following information is set for the virtual machine start template when the virtual machine start template is configured in step 3: authentication center, template mirroring, storage, network, port, data center, resource pool, security group.
Compared with the prior art, the invention has the advantages that: the invention automatically and elastically stretches the virtual service through the virtual service performance data of the load balancer, thereby effectively solving the problems of uneven distribution of service server resources or resource waste.
Drawings
Fig. 1 is a flowchart of a method for elastic scaling of a service virtual machine based on an MC centralized management system according to the present invention.
Detailed Description
The following describes the service virtual machine elastic scaling method based on the MC centralized management system in detail with reference to the accompanying drawings.
The specific implementation process of the service virtual machine elastic expansion method based on the MC centralized management system comprises the following steps:
firstly, connecting each hardware device to ensure the normal operation of the device, wherein the specific requirements are as follows:
the MC centralized management system hardware is installed and deployed in a customer network, a large batch of load balancers and the MC centralized management system realize network accessibility, the versions of the load balancers are MC required versions and above, and the load balancers and the MC centralized management system can be reached to VMware (vcenter/exsi) and OpenStack networks.
The specific operation method comprises the following steps:
a centralized management system is formed by golang and vue, and a configuration page is provided;
configuring an elastic expansion strategy; the content comprises concurrency, health check and service response time; after the condition is triggered, correspondingly newly building or deleting or restarting a service server;
configuring a virtual machine starting template; (VMware/exi, OpenStack) authentication center, template mirroring, storage, network, port, data center, resource pool, security group.
Configuring an IP address pool of a service server;
associating the corresponding configurations, wherein the virtual service (including the service pool) is a unique KEY; associating an elastic expansion strategy, associating a virtual machine starting template, associating an IP address pool, taking out unoccupied IP from the service pool when a service server is newly built, and recovering the IP to the service pool when the service server is deleted;
after the Web page is configured with information, the background individually configures the elastic expansion operation time by using a crond service through the elastic expansion strategy time configured by the page;
each associated task is in a set running time, and the health check and the service response time of each monitored virtual service, the concurrency of the virtual service and each node (namely a service server) under the virtual service are timed;
adding or deleting nodes (newly building or deleting a service server) under the virtual service according to the strategy configuration of elastic expansion; restarting or deleting the nodes under the virtual service (newly building or deleting the service server) according to the health check configuration; and restarting or deleting the nodes under the virtual service (newly building or deleting the service server) according to the service response time configuration.
According to the invention, through a centralized management system, load balancing equipment under a plurality of client networks is configured, and equipment system information is visually displayed; setting an elastic expansion strategy for the load-balanced virtual service; monitoring and acquiring concurrency, health check, response time and the like of service pool members (and service servers) under the virtual service; and when the performance data of the virtual service of the load balancer meets the elastic scaling condition, automatically and elastically scaling the service server under the OpenStack or VMware (vcenter/exsi) service. The invention automatically and elastically stretches the virtual service through the virtual service performance data of the load balancer, thereby effectively solving the problems of uneven distribution of service server resources or resource waste.
The present invention and its embodiments have been described above, and the description is not intended to be limiting, and the drawings show only one embodiment of the present invention, and the actual structure is not limited thereto. In summary, those skilled in the art should appreciate that they can readily use the disclosed conception and specific embodiments as a basis for designing or modifying other structures for carrying out the same purposes of the present invention without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (2)
1. A service virtual machine elastic expansion method based on an MC centralized management system is characterized in that: the method comprises the following steps:
step 1, forming a centralized management system by golang and vue to provide a configuration page;
step 2, configuring an elastic expansion strategy;
the content comprises concurrency, health check and service response time; after a condition is triggered, a service server is correspondingly newly built or deleted or restarted;
step 3, configuring a virtual machine starting template;
step 4, configuring an IP address pool of the service server;
step 5, associating the corresponding configurations, wherein the virtual service is the only KEY; associating an elastic expansion strategy, associating a virtual machine starting template, associating an IP address pool, taking out unoccupied IP from the service pool when a service server is newly built, and recovering the IP to the service pool when the service server is deleted;
step 6, after the Web page is configured with information, the background configures the elastic expansion operation time in a personalized manner by using a crond service through the elastic expansion strategy time configured by the page;
step 7, each associated task regularly checks the monitored virtual service, the concurrency of the virtual service, the health of each node under the virtual service and the service response time within the set running time;
step 8, adding or deleting nodes under the virtual service according to the strategy configuration of elastic expansion; restarting or deleting the nodes under the virtual service according to the health check configuration; and restarting or deleting the nodes under the virtual service according to the service response time configuration.
2. The method according to claim 1, wherein the method comprises the following steps: the following information is set for the virtual machine starting template when the virtual machine starting template is configured in the step 3: authentication center, template mirroring, storage, network, port, data center, resource pool, security group.
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| CN113868090A (en) * | 2021-10-09 | 2021-12-31 | 维沃移动通信有限公司 | Application program monitoring method and device |
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2022
- 2022-06-01 CN CN202210622789.9A patent/CN115051993A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102638475A (en) * | 2011-02-11 | 2012-08-15 | 运软网络科技(上海)有限公司 | Multi-dimensional intelligent service point virtual desktop method and infrastructure |
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