CN117651074A - Effectiveness evaluation method of cloud resources - Google Patents
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Abstract
The application provides a performance evaluation method of cloud resources. Collecting operation data of cloud resources; determining performance data based on the operational data of the cloud resources; calculating a performance analysis result according to QOS rules and weights in the performance data and the SLA database; if the acquired measurement time is consistent with the service period, calculating a performance average value in the service period based on the performance analysis result, and at the moment, performing further calculation on the triggering performance analysis result between the acquired measurement time and the service period so as to dynamically evaluate the performance analysis result, wherein the performance analysis result is related to the performance data and QOS rules and weights in the SLA database, and synchronously meets the task requirements of users and the QOS requirements of the users, so that the user satisfaction is maximized, and objective and accurate measurement and evaluation are truly performed on the cloud resource performance.
Description
Technical Field
The application relates to the technical field of performance evaluation of cloud resources, in particular to a performance evaluation method of cloud resources.
Background
Cloud computing has become the first choice for businesses and individuals as a computing model that has grown vigorously. Cloud computing infrastructure is an important component of a cloud computing system, including cloud computing hardware devices, cloud computing platforms, cloud computing virtualization technologies, and the like, and is a foundation for supporting cloud computing applications. The cloud infrastructure platform is used as a public service platform and can provide cloud resource services, such as computing resources, network resources, storage resources and the like, through a self-service mode according to user requirements.
In the delivery process of cloud resources, a cloud service provider provides corresponding cloud service types in the form of resource services according to requirements of users of different grades. In order to provide high quality cloud services, cloud service providers need to bear costs of cloud resources and accidents, but must obtain a certain profit margin while meeting the minimum requirements of users. The user pays corresponding cost to obtain corresponding cloud service resources and performance, so the cloud resource efficiency is an important index for measuring the cloud service quality. The existing efficiency analysis results are more in static environment for evaluation, and objective and accurate measurement and evaluation of cloud resource efficiency cannot be performed.
Disclosure of Invention
An object of the present invention is to provide a method for evaluating the performance of cloud resources, which is convenient for dynamically evaluating the performance analysis result by further calculating the trigger performance analysis result between the acquisition measurement time and the service period, and meanwhile, the performance analysis result is related to the performance data and QOS rules and weights in the SLA database, and satisfies the task demands of users and QOS demands of users synchronously, thereby maximizing the user satisfaction degree and actually measuring and evaluating the performance of the cloud resources objectively and accurately.
To achieve the above object, some embodiments of the present application provide a method for evaluating the performance of a cloud resource, which is applied to a cloud computing infrastructure, and the method for evaluating the performance of the cloud resource includes:
collecting operation data of cloud resources;
determining performance data based on the operational data of the cloud resources;
calculating a performance analysis result according to QOS rules and weights in the performance data and the SLA database;
and if the acquired measurement time is consistent with the service period, calculating a performance average value in the service period based on the performance analysis result.
Some embodiments of the present application further provide a device for evaluating efficiency of cloud resources, including:
the acquisition module is used for acquiring operation data of cloud resources;
the efficiency data module is used for determining efficiency data based on the operation data of the cloud resources;
the first calculation module is used for calculating a performance analysis result according to the performance data and QOS rules and weights in the SLA database;
and the second calculation module is used for calculating the average value of the efficiency in the service period based on the efficiency analysis result if the acquired measurement time is consistent with the service period.
Some embodiments of the present application further provide a device for evaluating efficacy of cloud resources, where the device includes:
one or more processors; and
a memory storing computer program instructions that, when executed, cause the processor to perform the method of evaluating the performance of cloud resources described above.
Some embodiments of the present application also provide a computer readable medium having stored thereon computer program instructions executable by a processor to implement the above-described method of evaluating the efficacy of cloud resources.
Compared with the prior art, in the scheme provided by the embodiment of the application, the operation data of the cloud resources are collected; determining performance data based on the operational data of the cloud resources; calculating a performance analysis result according to QOS rules and weights in the performance data and the SLA database; if the acquired measurement time is consistent with the service period, calculating a performance average value in the service period based on the performance analysis result, and at the moment, performing further calculation on the triggering performance analysis result between the acquired measurement time and the service period so as to dynamically evaluate the performance analysis result, wherein the performance analysis result is related to the performance data and QOS rules and weights in the SLA database, and synchronously meets the task requirements of users and the QOS requirements of the users, so that the user satisfaction is maximized, and objective and accurate measurement and evaluation are truly performed on the cloud resource performance.
Drawings
Fig. 1 is a flow chart of a method for evaluating performance of cloud resources according to an embodiment of the present application;
FIG. 2 shows a flowchart of S120 in FIG. 1;
FIG. 3 shows a flow chart of S130 in FIG. 1;
fig. 4 shows a flowchart of S140 in fig. 1;
fig. 5 is a practical schematic diagram of a method for evaluating performance of cloud resources according to an embodiment of the present application.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
Referring to fig. 1 to 5, the embodiment of the present application further provides a method for evaluating the performance of a cloud resource, which is applied to a cloud computing infrastructure, where the method for evaluating the performance of the cloud resource includes:
step S110, collecting operation data of cloud resources;
step S120, efficiency data is determined based on the operation data of the cloud resources;
step S130, calculating a performance analysis result according to the performance data, QOS rules and weights in the SLA database;
in step S140, if the collected measurement time is consistent with the service period, the average value of the performance in the service period is calculated based on the performance analysis result.
In the scheme provided by the embodiment of the application, the operation data of the cloud resource are collected; determining performance data based on the operational data of the cloud resources; calculating a performance analysis result according to QOS rules and weights in the performance data and the SLA database; if the acquired measurement time is consistent with the service period, calculating a performance average value in the service period based on the performance analysis result, and at the moment, performing further calculation on the triggering performance analysis result between the acquired measurement time and the service period so as to dynamically evaluate the performance analysis result, wherein the performance analysis result is related to the performance data and QOS rules and weights in the SLA database, and synchronously meets the task requirements of users and the QOS requirements of the users, so that the user satisfaction is maximized, and objective and accurate measurement and evaluation are truly performed on the cloud resource performance.
In step S110, operation data of cloud resources is collected.
In the embodiment of the application, the operation of the cloud resource is monitored, and the operation data of the cloud resource is collected so as to facilitate the further processing of the operation data of the cloud resource.
In step S120, performance data is determined based on the operation data of the cloud resource.
In the embodiment of the application, the efficiency data is determined according to the operation data of the cloud resources so as to be convenient for definition of the efficiency data, and meanwhile, the operation data of the cloud resources is subjected to relevant mapping and data processing, so that the accuracy of the efficiency data is ensured.
The method comprises the following specific steps:
step S121, mapping operation data and rules based on cloud resources, and outputting mapped data;
in the embodiment of the application, the operation data and the rules of the cloud resources are acquired so as to map the operation data and the rules of the cloud resources, so that mapped data are output in the mapping process, the operation data of the cloud resources are subjected to regularization process, and the uniformity of the mapped data is ensured.
Step S122, determining efficiency data according to the mapped data;
in the embodiment of the application, cleaning is performed according to the mapped data so as to strip out the data corresponding to QOS; and determining efficiency data according to the data corresponding to the QOS, at the moment, further cleaning the mapped data, thereby removing the abnormal data so as to be convenient for further stripping, at the moment, stripping the data corresponding to the QOS, and determining the efficiency data according to the data corresponding to the QOS.
In step S130, the performance analysis results are calculated based on the performance data and QOS rules and weights in the SLA database.
The method comprises the following specific steps:
step S131, obtaining efficiency data;
step S132, associating efficiency data with an SLA database;
step S133, calculating a performance analysis result based on the performance data and QOS rules and weights in the SLA database;
in the embodiment of the application, the performance data is acquired so that the performance data and the SLA database are correlated, and thus the performance analysis result is calculated based on the performance data and QOS rules and weights in the SLA database.
An SLA database is constructed, quantization is performed according to an SLA protocol provided by cloud service, and quantized QOS and weight results are stored in the database for use, so that QOS rules related to cloud resources are subjected to weight configuration, and processing is performed according to different weights, so that accuracy of efficiency analysis results is guaranteed.
In step S140, if the collected measurement time is consistent with the service period, the average value of the performance in the service period is calculated based on the performance analysis result.
The method comprises the following specific steps:
step S141, acquiring acquisition measurement time and service period;
step S142, comparing the acquired measurement time with the service period;
and S143, if the acquisition measurement time is greater than or equal to the service period, ending the efficiency analysis task, and calculating an average efficiency value in the service period based on the efficiency analysis result.
The method comprises the steps of quantifying according to an SLA protocol provided by cloud service, storing quantified QOS and weight results into a database for use, collecting real-time data collected by monitoring service, stripping effective data according to QOS category, mapping operation data in unit time into an SLA parameter mapping module, comparing the operation data with parameter threshold values in the SLA database, analyzing efficiency, accumulating analyzed efficiency results, and finally calculating average efficiency in service period.
In the embodiment of the application, the acquisition and measurement time and the service period are compared, and the further calculation of the trigger efficiency analysis result between the acquisition and measurement time and the service period is adopted to facilitate the dynamic evaluation of the efficiency analysis result, meanwhile, the efficiency analysis result is related to the efficiency data and QOS rules and weights in the SLA database, and the user task requirement and the user QOS requirement are synchronously met, so that the user satisfaction is maximized, and objective and accurate measurement and evaluation of cloud resource efficiency are truly carried out.
And if the acquisition measurement time is greater than or equal to the service period, ending the efficiency analysis task, and calculating an average efficiency value in the service period based on the efficiency analysis result.
If the acquisition and measurement time is less than the service period, performing cyclic performance analysis, and accumulating performance data until the acquisition and measurement time is consistent with the service period.
The method comprises the following steps:
(1) Initializing a rule table and a weight table of an SLA database, defining QOS rules specified in a specific SLA protocol, and carrying out weight configuration on the QOS rules related to cloud resource service.
(2) Mapping the collected operation monitoring data and the rule table, cleaning the operation monitoring data, stripping data corresponding to QOS and storing the efficiency data table.
(3) And starting a performance analysis module, initializing a cloud resource analyzer, calculating corresponding performance data of the cloud resource by combining QOS rules and weights, and storing performance analysis results in the period time into the performance analyzer.
(4) And judging the size of the acquisition measurement time and the service period time, if the measurement time is in the service period, performing efficiency analysis in a circulating way, and adding the efficiency data into the efficiency analyzer.
(5) And when the acquisition measurement time is consistent with the service period, the efficiency analysis task is ended, and the average value of the efficiency in the service period is calculated.
(6) And after the performance analysis is finished, the performance data are stored in a database. .
The cloud resource efficiency evaluation method further comprises the following steps:
if the acquisition measurement time is less than the service period, QOS data are acquired;
comparing the QOS data with standard QOS data;
if the ratio of QOS data to standard QOS data is greater than or equal to 1, standard resource performance = resource weight performance;
if the ratio of QOS data to standard QOS data is less than 1, non-standard performance=resource weight performance (QOS data/standard QOS data).
In the scheme provided by the embodiment of the application, the operation data of the cloud resource are collected; determining performance data based on the operational data of the cloud resources; calculating a performance analysis result according to QOS rules and weights in the performance data and the SLA database; if the acquired measurement time is consistent with the service period, calculating a performance average value in the service period based on the performance analysis result, and at the moment, performing further calculation on the triggering performance analysis result between the acquired measurement time and the service period so as to dynamically evaluate the performance analysis result, wherein the performance analysis result is related to the performance data and QOS rules and weights in the SLA database, and synchronously meets the task requirements of users and the QOS requirements of the users, so that the user satisfaction is maximized, and objective and accurate measurement and evaluation are truly performed on the cloud resource performance.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. A plurality of units or means recited in the apparatus claims can also be implemented by means of one unit or means in software or hardware. The terms first, second, etc. are used to denote a name, but not any particular order.
Claims (8)
1. A method for evaluating the efficacy of cloud resources, which is applied to a cloud computing infrastructure, the method comprising:
collecting operation data of cloud resources;
determining performance data based on the operational data of the cloud resources;
calculating a performance analysis result according to QOS rules and weights in the performance data and the SLA database;
and if the acquired measurement time is consistent with the service period, calculating a performance average value in the service period based on the performance analysis result.
2. The method for evaluating the performance of the cloud resource according to claim 1, wherein the determining the performance data based on the operation data of the cloud resource comprises:
mapping based on the operation data and rules of the cloud resources, and outputting mapped data;
efficacy data is determined from the mapped data.
3. The method of claim 2, wherein determining performance data from the mapped data comprises:
cleaning according to the mapped data to strip out data corresponding to QOS;
and determining efficiency data according to the data corresponding to the QOS.
4. The method for evaluating the performance of the cloud resource according to claim 1, wherein the calculating the performance analysis result according to the performance data and QOS rules and weights in the SLA database comprises:
acquiring efficiency data;
associating performance data with an SLA database;
and calculating the efficiency analysis result based on the QOS rules and weights in the efficiency data and the SLA database.
5. The method for evaluating the performance of the cloud resource according to claim 1, wherein the calculating the performance analysis result according to the performance data and QOS rules and weights in the SLA database further comprises:
and constructing an SLA database, quantifying according to an SLA protocol provided by the cloud service, and storing quantified QOS and a weight result into the database for use so as to carry out weight configuration on QOS rules related to the cloud resources.
6. The method for evaluating the performance of the cloud resource according to claim 1, wherein if the collection measurement time is consistent with the service period, calculating the performance average value in the service period based on the performance analysis result comprises:
acquiring acquisition measurement time and service period;
comparing based on the acquisition measurement time and the service period;
and if the acquisition measurement time is greater than or equal to the service period, ending the efficiency analysis task, and calculating an average efficiency value in the service period based on the efficiency analysis result.
7. The method for evaluating the efficacy of a cloud resource according to claim 6, further comprising:
if the acquisition and measurement time is less than the service period, performing cyclic performance analysis, and accumulating performance data until the acquisition and measurement time is consistent with the service period.
8. The method for evaluating the efficacy of a cloud resource according to claim 7, further comprising:
if the acquisition measurement time is less than the service period, QOS data are acquired;
comparing the QOS data with standard QOS data;
if the ratio of QOS data to standard QOS data is greater than or equal to 1, standard resource performance = resource weight performance;
if the ratio of QOS data to standard QOS data is less than 1, non-standard performance=resource weight performance (QOS data/standard QOS data).
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