CN108880855A - A kind of desktop cloud intelligence O&M method and system based on cloud computing - Google Patents
A kind of desktop cloud intelligence O&M method and system based on cloud computing Download PDFInfo
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- CN108880855A CN108880855A CN201810326875.9A CN201810326875A CN108880855A CN 108880855 A CN108880855 A CN 108880855A CN 201810326875 A CN201810326875 A CN 201810326875A CN 108880855 A CN108880855 A CN 108880855A
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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
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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
- H04L41/02—Standardisation; Integration
- H04L41/0246—Exchanging or transporting network management information using the Internet; Embedding network management web servers in network elements; Web-services-based protocols
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
- H04L43/0817—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/16—Threshold monitoring
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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
- H04L67/08—Protocols specially adapted for terminal emulation, e.g. Telnet
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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
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Abstract
The desktop cloud intelligence O&M method based on cloud computing that the invention discloses a kind of, is related to cloud computing intelligent O&M technical field.The present invention includes the following steps：From cloud desktop timing acquiring cloud service performance data；Comparison cloud service performance data list obtains cloud service performance difference list；Cloud service performance difference list comparison cloud service performance threshold list obtains corresponding O&M instruction；Execute O&M instruction.A kind of desktop cloud intelligence operational system based on cloud computing is also provided.The present invention generates O&M instruction with the list of cloud service performance threshold by acquiring cloud service performance data in real time and generating cloud service performance data difference list and compare the list of cloud service performance difference, improve monitoring of the cloud service platform to virtual machine cloud service performance performance requirement, improve maintenance of the cloud service platform to virtual machine cloud service performance requirements, it ensure that cloud service platform virtual machine performance demand, improve the calculating operational efficiency of cloud service platform.
Description
Technical field
The invention belongs to cloud computing intelligent O&M technical fields, more particularly to a kind of desktop cloud intelligence based on cloud computing
O&M method and system.
Background technique
Cloud computing is distributed on a large amount of distributed computer by making to calculate, rather than local computer or remote service
In device, the operation of enterprise data center will be more like with internet.This enable enterprise by resource switch to need application
On, computer and storage system are accessed according to demand.
Infrastructure, that is, service cloud provides service in the form of virtual machine for user, i.e., when user needs computing resource,
The form that resource therein is packaged into virtual machine is supplied to user and used by infrastructure, that is, service cloud；When user no longer needs to count
When calculating resource, infrastructure can recycle and destroy above-mentioned virtual machine to recycle computing resource.
Cloud computing service platform is that the basic property service that a virtual machine provides is often possible to during time use
Be not able to satisfy the real need of virtual machine, usually need to monitor in use cloud service performance whether meet virtual machine demand and
The service performance that cloud computing service platform provides virtual machine is improved when suitable.But each void of the monitoring management by thinking
The cloud service performance requirement of quasi- machine cannot the timely and effective and a large amount of manpower and material resources of waste.
This invention address that a kind of desktop cloud intelligence O&M method and system based on cloud computing are invented, to solve cloud void
The problem of change of cloud service performance requirement cannot be timely and effectively maintained in quasi- machine operation use process.
Summary of the invention
The desktop cloud intelligence O&M method and system based on cloud computing that the purpose of the present invention is to provide a kind of, by real-time
Acquisition cloud service performance data simultaneously generates cloud service performance data difference list and compares the list of cloud service performance difference and cloud clothes
Performance threshold list of being engaged in generates O&M instruction, realizes cloud computing platform to the intelligent O&M of virtual machine cloud service performance requirements,
Solving in existing cloud virtual machine operation use process cannot timely and effectively be maintained the change of cloud service performance requirement
Problem.
In order to solve the above technical problems, the present invention is achieved by the following technical solutions：
The present invention is a kind of desktop cloud intelligence O&M method based on cloud computing, is included the following steps：
S000：From cloud desktop timing acquiring cloud service performance data；
S001：Comparison cloud service performance data list obtains cloud service performance difference list；
S002：Cloud service performance difference list comparison cloud service performance threshold list obtains corresponding O&M instruction；
S003：Execute O&M instruction；
The step S001 includes the following steps：
A000：Cloud computing service platform provides cloud service for virtual machine and establishes cloud service performance data list；
A001：It is poor that the cloud service performance data and the data in cloud service capabilities list of timing acquiring do difference processing acquisition
Value list；
The step S002 includes the following steps：
B000：Cloud service platform establishes cloud service UPS upper performance score threshold value respectively while establishing cloud service performance data list
List；
B001：By corresponding performance difference in cloud service performance difference list and cloud service UPS upper performance score threshold list correspondence
It can threshold value comparison acquisition superthreshold performance；
B002：Record superthreshold performance number i and time t；
B003：Judge whether the cumulative time of superthreshold performance exceeds time threshold, if so, O&M instruction such as B004；
If it is not, not generating O&M instruction then；
B004：Improve the service performance that the virtual machine corresponds to superthreshold performance.
Preferably, the cloud service capabilities list provides maximum service performance data for record cloud computing platform for virtual machine
List.
Preferably, the cloud service difference list is the cloud service performance data and maximum cloud service performance number of timing acquiring
According to difference list.
Preferably, the cloud service performance threshold list is preset corresponding cloud service performance data and maximum performance data
The safe differential value list of difference list.
Preferably, the superthreshold performance is the cloud service performance that cloud service performance difference is greater than cloud service performance threshold；
The time threshold is the maximum time of superthreshold performance.
A kind of desktop intelligence operational system based on cloud computing, including：
Cloud service performance data collection module is used for timing acquiring cloud service performance data；
Cloud service performance difference calculating module, for calculating the difference of cloud service performance with corresponding maximum cloud service performance
And generate cloud service performance difference list；
Cloud service performance threshold computing module, for calculating cloud service performance data and maximum performance according to virtual machine demand
The safe difference of data simultaneously generates cloud service performance threshold list；
With service performance contrast module；The corresponding cloud service performance of cloud service performance data for comparing timing acquiring is poor
The comparison of value and cloud service performance threshold simultaneously generates superthreshold performance；
Superthreshold time module；For recording the number i and time t of superthreshold performance and judging whether the cumulative time exceeds
Time threshold；
O&M directive generation module；According to the cumulative time in superthreshold time module compared with time threshold generation O&M
Instruction；
O&M instruction execution module；It is instructed for executing corresponding O&M to virtual machine.
The invention has the advantages that：
The present invention is by acquiring cloud service performance data in real time and generating cloud service performance data difference list and comparison cloud
The list of service performance difference and the list of cloud service performance threshold generate O&M instruction, improve cloud service platform and take to virtual machine cloud
The monitoring of business performance performance requirement, improves maintenance of the cloud service platform to virtual machine cloud service performance requirements, ensure that cloud takes
Business platform virtual machine performance requirement, improves the calculating operational efficiency of cloud service platform.
Certainly, it implements any of the products of the present invention and does not necessarily require achieving all the advantages described above at the same time.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, will be described below to embodiment required
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a kind of desktop cloud intelligence O&M method flow diagram based on cloud computing of the invention；
Fig. 2 is the flow chart of step S002 in the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts all other
Embodiment shall fall within the protection scope of the present invention.
Refering to Figure 1, the present invention is a kind of desktop cloud intelligence O&M method based on cloud computing, including walk as follows
Suddenly：
S000：From cloud desktop timing acquiring cloud service performance data；
S001：Comparison cloud service performance data list obtains cloud service performance difference list；
S002：Cloud service performance difference list comparison cloud service performance threshold list obtains corresponding O&M instruction；
S003：Execute O&M instruction；
Step S001 includes the following steps：
A000：Cloud computing service platform provides cloud service for virtual machine and establishes cloud service performance data list；
A001：It is poor that the cloud service performance data and the data in cloud service capabilities list of timing acquiring do difference processing acquisition
Value list；
It please refers to shown in Fig. 2, step S002 includes the following steps：
B000：Cloud service platform establishes cloud service UPS upper performance score threshold value respectively while establishing cloud service performance data list
List；
B001：By corresponding performance difference in cloud service performance difference list and cloud service UPS upper performance score threshold list correspondence
It can threshold value comparison acquisition superthreshold performance；
B002：Record superthreshold performance number i and time t；
B003：Judge whether the cumulative time of superthreshold performance exceeds time threshold, if so, O&M instruction such as B004；
If it is not, not generating O&M instruction then；
B004：Improve the service performance that the virtual machine corresponds to superthreshold performance.
Wherein, cloud service capabilities list provides the column of maximum service performance data for record cloud computing platform for virtual machine
Table.
Wherein, the list of cloud service difference is the cloud service performance data and maximum cloud service performance data difference of timing acquiring
List.
Wherein, the list of cloud service performance threshold is that preset corresponding cloud service performance data and maximum performance data difference arrange
The safe differential value list of table.
Wherein, superthreshold performance is the cloud service performance that cloud service performance difference is greater than cloud service performance threshold；Time threshold
Value is the maximum time of superthreshold performance.
A kind of desktop intelligence operational system based on cloud computing, including：
Cloud service performance data collection module is used for timing acquiring cloud service performance data；
Cloud service performance difference calculating module, for calculating the difference of cloud service performance with corresponding maximum cloud service performance
And generate cloud service performance difference list；
Cloud service performance threshold computing module, for calculating cloud service performance data and maximum performance according to virtual machine demand
The safe difference of data simultaneously generates cloud service performance threshold list；
With service performance contrast module；The corresponding cloud service performance of cloud service performance data for comparing timing acquiring is poor
The comparison of value and cloud service performance threshold simultaneously generates superthreshold performance；
Superthreshold time module；For recording the number i and time t of superthreshold performance and judging whether the cumulative time exceeds
Time threshold；
O&M directive generation module；According to the cumulative time in superthreshold time module compared with time threshold generation O&M
Instruction；
O&M instruction execution module；It is instructed for executing corresponding O&M to virtual machine.
It is worth noting that, included each unit is only drawn according to function logic in the above system embodiment
Point, but be not limited to the above division, as long as corresponding functions can be realized；In addition, each functional unit is specific
Title is also only for convenience of distinguishing each other, the protection scope being not intended to restrict the invention.
In addition, those of ordinary skill in the art will appreciate that realizing all or part of the steps in the various embodiments described above method
It is that relevant hardware can be instructed to complete by program.
Present invention disclosed above preferred embodiment is only intended to help to illustrate the present invention.There is no detailed for preferred embodiment
All details are described, are not limited the invention to the specific embodiments described.Obviously, according to the content of this specification,
It can make many modifications and variations.These embodiments are chosen and specifically described to this specification, is in order to better explain the present invention
Principle and practical application, so that skilled artisan be enable to better understand and utilize the present invention.The present invention is only
It is limited by claims and its full scope and equivalent.
Claims (6)
1. a kind of desktop cloud intelligence O&M method based on cloud computing, which is characterized in that include the following steps：
S000：From cloud desktop timing acquiring cloud service performance data；
S001：Comparison cloud service performance data list obtains cloud service performance difference list；
S002：Cloud service performance difference list comparison cloud service performance threshold list obtains corresponding O&M instruction；
S003：Execute O&M instruction；
The step S001 includes the following steps：
A000：Cloud computing service platform provides cloud service for virtual machine and establishes cloud service performance data list；
A001：The cloud service performance data and the data in cloud service capabilities list of timing acquiring do difference processing and obtain difference column
Table；
The step S002 includes the following steps：
B000：Cloud service platform establishes cloud service UPS upper performance score threshold column respectively while establishing cloud service performance data list
Table；
B001：By corresponding performance difference in cloud service performance difference list and cloud service UPS upper performance score threshold list corresponding performance threshold
Value, which compares, obtains superthreshold performance；
B002：Record superthreshold performance number i and time t；
B003：Judge the cumulative time of superthreshold performanceWhether time threshold T is exceededmax, if so, O&M instruction is such as
B004；If it is not, then O&M instruction is B005；
B004：Improve the cloud service performance that virtual machine corresponds to superthreshold performance；
B005：Keep virtual machine cloud service performance.
2. a kind of desktop cloud intelligence O&M method based on cloud computing according to claim 1, which is characterized in that the cloud
Service performance list provides the list of maximum service performance data for record cloud computing platform for virtual machine.
3. a kind of desktop cloud intelligence O&M method based on cloud computing according to claim 1, which is characterized in that the cloud
Service the cloud service performance data and maximum cloud service performance data difference list that difference list is timing acquiring.
4. a kind of desktop cloud intelligence O&M method based on cloud computing according to claim 1, which is characterized in that the cloud
Service performance threshold list is the safe difference column of preset corresponding cloud service performance data and the list of maximum performance data difference
Table.
5. a kind of desktop intelligence O&M method based on cloud computing according to claim 1, which is characterized in that the superthreshold
Being worth performance is the cloud service performance that cloud service performance difference is greater than cloud service performance threshold；The time threshold TmaxFor superthreshold
The maximum time of performance.
6. a kind of desktop intelligence operational system based on cloud computing as described in claim 1-5 is any one, which is characterized in that packet
It includes：
Cloud service performance data collection module is used for timing acquiring cloud service performance data；
Cloud service performance difference calculating module, for calculating cloud service performance and the difference of corresponding maximum cloud service performance and life
At cloud service performance difference list；
Cloud service performance threshold computing module, for calculating cloud service performance data and maximum performance data according to virtual machine demand
Safe difference and generate cloud service performance threshold list；
With service performance contrast module；The corresponding cloud service performance difference of cloud service performance data for comparing timing acquiring with
The comparison of cloud service performance threshold simultaneously generates superthreshold performance；
Superthreshold time module；For recording the number i and time t of superthreshold performance and judging the cumulative timeWhether
Beyond time threshold Tmax；
O&M directive generation module；According to the cumulative time in superthreshold time moduleWith time threshold TmaxCompare production
Raw O&M instruction；
O&M instruction execution module；It is instructed for executing corresponding O&M to virtual machine.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103346906A (en) * | 2013-06-19 | 2013-10-09 | 华南师范大学 | Intelligent operation and maintenance method and system based on cloud computing |
| CN104796274A (en) * | 2014-01-21 | 2015-07-22 | 华为技术有限公司 | Matching method and device for operation and maintenance |
| WO2017016422A1 (en) * | 2015-07-29 | 2017-02-02 | 阿里巴巴集团控股有限公司 | Cloud-based database detection method and device |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103346906A (en) * | 2013-06-19 | 2013-10-09 | 华南师范大学 | Intelligent operation and maintenance method and system based on cloud computing |
| CN104796274A (en) * | 2014-01-21 | 2015-07-22 | 华为技术有限公司 | Matching method and device for operation and maintenance |
| WO2017016422A1 (en) * | 2015-07-29 | 2017-02-02 | 阿里巴巴集团控股有限公司 | Cloud-based database detection method and device |
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