Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Cluster monitoring system and monitoring method for multi-public cloud computing platforms

A cloud computing platform and monitoring system technology, applied in transmission systems, digital transmission systems, data exchange networks, etc., can solve the problems of difficult integration of basic resources, scattered resource monitoring views, resource usage bill checks, etc., to achieve shortening Task waiting time, ease of audit and reconciliation, and the effect of improving resource utilization

Active Publication Date: 2021-07-20
SHENZHEN JINGTAI TECH CO LTD
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, none of the cloud providers can complete the support for these monitoring indicators
[0007] 2. Based on cost considerations, cloud providers cannot customize the collection of monitoring indicators and cannot conduct more detailed analysis of monitoring data, and thus cannot feedback the scheduling system to adjust strategies in real time
In 1, it is explained that the cloud provider cannot provide some monitoring indicators required by the cloud computing platform, and the cloud provider cannot allow users to collect and display these indicators in a certain way
Existing monitoring data is stored on the cloud and there is no way to obtain historical data for a certain period of time for more detailed analysis, and then it is impossible to check resource usage, resulting in the inability to check resource usage bills
If the data that the scheduling system relies on for policy adjustment cannot be obtained, real-time scheduling policies cannot be discussed, and a single scheduling policy may cause unnecessary waste of resources
[0008] 3. The built-in resource monitoring view is scattered and cannot provide a user-customizable unified view, and the monitoring methods of each cloud provider are different, so it is difficult to have a unified way to process the resource monitoring data of each cloud
Cloud provision not only fails to provide collection of certain indicators, but also makes it difficult to integrate basic resources, which also fails to provide an intuitive view of resource status
[0009] 4. The alarm system can only be set separately for one or a certain type of resource and cannot classify the alarms
Cloud providers can provide threshold alarms for basic resources, but they cannot classify these alarms. When there are too many alarm information, it is easy to cause key alarm information to be ignored and cannot be processed in time.
Moreover, the existing alarm strategy cannot meet the alarm requirements of the cloud computing platform at all, so it is impossible to fully grasp the runtime status of the computing platform

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Cluster monitoring system and monitoring method for multi-public cloud computing platforms
  • Cluster monitoring system and monitoring method for multi-public cloud computing platforms
  • Cluster monitoring system and monitoring method for multi-public cloud computing platforms

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0061] The technical solutions of the present invention will be described in further detail below with reference to the accompanying drawings and embodiments.

[0062] figure 1 It is the overall structure of the system, which is used to illustrate the relationship between the various subsystems and the data flow process:

[0063] The cluster acquisition subsystem runs on the clusters of each cloud, and uploads the collected monitoring data to the remote data processing system. After a series of analysis, the data is dumped and sent to the alarm subsystem. The alarm subsystem is based on The alarm policy processes monitoring data and then performs alarm actions.

[0064] figure 2 It is the architecture diagram of the data acquisition subsystem, combined with this diagram to illustrate how the system works.

[0065] First, complete the support for cloud provider computing clusters, resource plug-ins, and scheduling engine API; secondly, call the unified interface layer funct...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention provides a cluster monitoring system for multi-cloud computing platforms, including a data acquisition subsystem responsible for collecting basic resource data, task operation status and consumption, and overall resource usage status monitoring data of each cloud computing platform according to predetermined indicators, and Provide an interface for the scheduling system to call to obtain real-time monitoring data to guide scheduling; the data processing subsystem is responsible for the cluster monitoring data uploaded by each data subsystem through RPC requests, performs a series of processing dumps to the back end for storage, and provides interfaces for data Display and billing system; the alarm subsystem is responsible for processing and analyzing monitoring data according to the alarm strategy, confirming the alarm level and sending alarm information. The present invention can better observe the overall task operation situation, improve the resource utilization rate, facilitate bill audit and reconciliation with the persistence of computing resources, and can automatically solve some abnormal problems and reduce manual participation.

Description

technical field [0001] The invention belongs to the technical field of cross-multiple public cloud computing scheduling, and specifically relates to a multi-public cloud computing platform-oriented cluster monitoring system and a monitoring method thereof, which can be used in multi-cloud computing platform clusters as multi-computing cluster resource states, computing Data support system for task status monitoring alarm system and other related systems. Background technique [0002] Cloud computing is a pay-by-use model that provides available, convenient, and on-demand network access and access to a configurable pool of computing resources (resources include networks, servers, storage, application software, and services) , these resources can be provisioned quickly with little administrative effort or interaction with the service provider. [0003] With the development of technologies such as the Internet and cloud computing, more and more public cloud computing resources...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): H04L12/26H04L12/24
CPCH04L41/06H04L41/22H04L43/045H04L43/0817
Inventor 朱和胜林帅康刘阳马健温书豪
Owner SHENZHEN JINGTAI TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products