A Distributed Alarm Rule Evaluation Method Applicable to Cloud Platform Resource Monitoring
A resource monitoring and distributed technology, applied in digital transmission systems, data exchange networks, electrical components, etc., can solve problems such as large delay in processing alarm rules, weak evaluation and processing capability of a single monitoring alarm rule, and failure of cloud platform monitoring services. , to achieve the effect of avoiding large processing delay and low cost investment
Active Publication Date: 2019-05-21
G CLOUD TECH
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AI Technical Summary
Problems solved by technology
[0011] The technical problem solved by the present invention is to provide a distributed alarm rule evaluation method suitable for cloud platform resource monitoring, which solves the problems of weak single monitoring alarm rule evaluation processing capability, large single monitoring service processing alarm rule processing delay, and single service cannot Meet the user's requirements for high availability of monitoring services, and the abnormal exit of a single service leads to the failure of the monitoring service of the entire cloud platform.
Method used
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Embodiment Construction
[0040] There are many implementations of the present invention, and here a private cloud platform is taken as an example to illustrate one of the implementation methods, such as figure 1 , 2 Shown, the concrete implementation process of the present invention is as follows:
[0041] 1. Regularly collect monitoring data
[0042]
[0043]
[0044] 2. Set monitoring rules
[0045]
[0046] 3. Start all distributed alarm rule evaluation services
[0047]
[0048]
[0049] 4. Each alarm rule evaluation service broadcasts its own service status information
[0050]
[0051] 5. Determine whether your own service startup time is the earliest, if it executes the main service process, otherwise executes the non-main service process
[0052] 6. Set itself as the main service
[0053]
[0054]
[0055] 7. Query the total number of monitoring rules, and assign them to themselves and all non-main services according to the algorithm to be responsible for the list ...
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The invention relates to the technical field of cloud platform resource monitoring, and more particularly to a distributed alarm rule assessment method suitable for cloud platform resource monitoring. According to the method, firstly, monitoring data is collected at regular intervals; then, monitoring rules are set; next, all distributed alarm rule assessment services are started; each alarm rule assessment service broadcasts its own service state information and determines whether its own service starts earliest, if yes, the alarm rule assessment service is a master service and executes a master alarm rule assessment service flow, if not, a non-master alarm rule assessment service is performed. When a single service checks all alarm rules, due to weak processing capability, delayed processing and abnormal exit of a single alarm rule assessment service, the resource monitoring services of the whole cloud platform fail, and the strict requirement of high availability of the production environment resource monitoring service cannot be met. The method solves the above problems and can be applied to the field of resource monitoring of cloud computation.
Description
technical field [0001] The invention relates to the technical field of cloud platform resource monitoring, in particular to a distributed alarm rule evaluation method suitable for cloud platform resource monitoring. Background technique [0002] There are many types of cloud computing resources, and the cloud platform is responsible for monitoring various resources. When faced with various usage scenarios, it takes a lot of manpower and material resources to develop cloud platform business functions to support the monitoring process. Cloud platform resources with similar types and details cannot quickly respond to user needs, which brings the following problems. : [0003] One is the cost and time investment of repeated development. In order to monitor different resource types, it needs to be developed according to specific resources. [0004] Second, resource monitoring cannot be adapted to various usage scenarios. [0005] The third is that it is impossible to dynamical...
Claims
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IPC IPC(8): H04L12/24H04L29/08
CPCH04L41/0631H04L67/10
Inventor 马桂成杨松季统凯
Owner G CLOUD TECH