CN114443427A - Cloud resource efficiency evaluation method based on big data analysis - Google Patents
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Abstract
The invention discloses a cloud resource efficiency evaluation method based on big data analysis, and relates to the technical field of cloud resource evaluation; acquiring resource data and performance data of network elements, hosts, virtual machines and network equipment in cloud resources through a southbound interface, injecting the resource data and the performance data into hive, meanwhile, according to the business and logic connection relation among the network elements, the host machines, the virtual machines and the network equipment in the cloud resources, the resource analysis models and the related business analysis models of the host machines, the virtual machines and the network elements are organized and created, and a logic topological graph from the network element to the router is constructed according to the service and logic connection relation among the network element, the host, the virtual machine and the network equipment in the cloud resource, according to the analysis and calculation, the data in hive is collected into various resource analysis models and related business analysis models, and (4) summarizing data again according to the time dimension, the space dimension, the equipment dimension and the service dimension, and performing resource analysis according to the dimension by using the micro-service technology, various resource analysis models and related service analysis models.
Description
Technical Field
The invention discloses a method, relates to the technical field of cloud resource evaluation, and particularly relates to a cloud resource efficiency evaluation method based on big data analysis.
Background
With the arrival of mobile terminals and the internet, cloud resources become basic resources for bearing various communication networks and services. The problem of cloud resource efficiency is brought when the cloud resources are constructed and used in a large scale. The cloud resource efficiency mainly relates to the problems of how the cloud resource is used and how the utilization rate is, and the problems of whether the existing cloud resource meets the requirements or is wasted. The cloud resources may become a black box of a user, but a reasonable cloud resource efficiency evaluation method is not used for evaluating the cloud resources, so that when the cloud resources are used by various large operators and enterprises, the cloud resources are applied and used according to evaluation of technical personnel, and the high idle rate of the cloud resources and the increase of the operation cost of the enterprises are easily caused.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a cloud resource efficiency evaluation method based on big data analysis, which analyzes cloud resource consumption data in a business-oriented manner to achieve the aims of optimizing a resource model, reducing resource consumption of a unit user, improving cloud resource efficiency and balancing quality, efficiency and cost.
The specific scheme provided by the invention is as follows:
a cloud resource efficiency evaluation method based on big data analysis comprises the steps of obtaining resource data and performance data of a network element, a host, a virtual machine and network equipment in cloud resources through a southbound interface of the network element, injecting the resource data and the performance data into hive,
meanwhile, organizing and creating resource analysis models and related service analysis models of the host, the virtual machines and the network elements according to the service and logic connection relations among the network elements, the host, the virtual machines and the network devices in the cloud resources, and constructing a logic topological graph from the network elements to the router according to the service and logic connection relations among the network elements, the host, the virtual machines and the network devices in the cloud resources,
and summarizing the data in the hive into various resource analysis models and related business analysis models according to analysis calculation, summarizing the data again according to the time dimension, the space dimension, the equipment dimension and the business dimension, and performing resource analysis according to the dimension by using the micro-service technology and various resource analysis models and related business analysis models.
Further, in the cloud resource efficiency evaluation method based on big data analysis, injecting resource data and performance data into hive includes:
and cleaning and processing the resource data and the performance data by using a big data analysis method, and injecting the cleaned resource data and the cleaned performance data into the hive.
Further, the resource analysis performed in the cloud resource efficiency evaluation method based on big data analysis includes:
and analyzing the conditions of the physical resources, the virtual resources and the performance data for association configuration and index association fluctuation by utilizing various resource analysis models and related business analysis models according to the time dimension, the space dimension, the equipment dimension and the business dimension.
Further, after the resource analysis is performed in the cloud resource efficiency evaluation method based on big data analysis, the analysis results are displayed according to the time dimension, the space dimension, the equipment dimension and the business dimension.
Meanwhile, the invention also provides a cloud resource efficiency evaluation system based on big data analysis, which comprises an acquisition module and an analysis module,
the acquisition module acquires resource data and performance data of the network elements, the host, the virtual machines and the network equipment in the cloud resources through the southbound interfaces of the network elements, and injects the resource data and the performance data into hive,
the analysis module organizes and creates resource analysis models and related business analysis models of the host, the virtual machines and the network elements according to business and logical connection relations among the network elements, the host, the virtual machines and the network devices in the cloud resources, constructs a logical topological graph from the network elements to the router according to the business and logical connection relations among the network elements, the host, the virtual machines and the network devices in the cloud resources,
and summarizing the data in the hive into various resource analysis models and related business analysis models according to analysis calculation, summarizing the data again according to the time dimension, the space dimension, the equipment dimension and the business dimension, and performing resource analysis according to the dimension by using the micro-service technology and various resource analysis models and related business analysis models.
Further, the acquisition module in the cloud resource efficiency evaluation system based on big data analysis injects resource data and performance data into hive, and the method includes:
and cleaning and processing the resource data and the performance data by using a big data analysis method, and injecting the cleaned resource data and the cleaned performance data into the hive.
Further, the resource analysis performed by the analysis module in the cloud resource performance evaluation system based on big data analysis includes:
and analyzing the conditions of the physical resources, the virtual resources and the performance data for association configuration and index association fluctuation by utilizing various resource analysis models and related business analysis models according to the time dimension, the space dimension, the equipment dimension and the business dimension.
Further, the cloud resource efficiency evaluation system based on big data analysis further comprises a display module, and after the analysis module performs resource analysis, the display module performs display of analysis results according to time dimension, space dimension, equipment dimension and business dimension.
The invention further provides a computer readable medium, which stores computer instructions, and when the computer instructions are executed by a processor, the processor executes the cloud resource efficiency evaluation method based on big data analysis.
The invention has the advantages that:
the invention provides a cloud resource efficiency evaluation method based on big data analysis, which is characterized in that big data analysis is carried out by utilizing performance data and the like, cloud resource management, topology presentation, performance management and analysis and multi-dimensional efficiency analysis are realized by combining resource data, load conditions, power consumption conditions and resource utilization conditions of network elements, servers, virtual machines and the like are analyzed, and a potential means is provided for reasonable allocation of resources.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic diagram of the application framework of the method of the present invention.
Detailed Description
NFVO: and the management module of the NS life cycle is simultaneously responsible for coordinating the NS, VNFs forming the NS and controlling and managing virtual resources bearing each VNF.
hive is a data warehouse tool based on Hadoop, can map structured data files into a database table, provides a complete sql query function, and can convert sql statements into MapReduce tasks for operation.
PostgreSQL is an object relational database management system that supports most SQL standards and provides many other modern features, complex queries, foreign keys, triggers, views, transaction integrity, MVCC.
The present invention is further described below in conjunction with the following figures and specific examples so that those skilled in the art may better understand the present invention and practice it, but the examples are not intended to limit the present invention.
The invention provides a cloud resource efficiency evaluation method based on big data analysis, which obtains resource data and performance data of network elements, hosts, virtual machines and network equipment in cloud resources through a southbound interface of the network elements, injects the resource data and the performance data into hive,
meanwhile, organizing and creating resource analysis models and related service analysis models of the host, the virtual machines and the network elements according to the service and logic connection relations among the network elements, the host, the virtual machines and the network devices in the cloud resources, and constructing a logic topological graph from the network elements to the router according to the service and logic connection relations among the network elements, the host, the virtual machines and the network devices in the cloud resources,
and summarizing the data in the hive into various resource analysis models and related business analysis models according to analysis calculation, summarizing the data again according to the time dimension, the space dimension, the equipment dimension and the business dimension, and performing resource analysis according to the dimension by using the micro-service technology and various resource analysis models and related business analysis models.
The method takes a big data technology as a means, analyzes the cloud resource consumption data in a business-oriented mode, achieves the aims of optimizing a resource model, reducing resource consumption of a unit user, improving cloud resource efficiency and achieving balance among quality, efficiency and cost.
In a specific application, in some embodiments of the method of the present invention, when evaluating the cloud resource performance based on big data analysis, resource data and performance data of a network element, a host, a virtual machine, and a network device in the cloud resource are acquired through a southbound interface of the network element, the resource data and the performance data are cleaned and processed by using a big data analysis method, the cleaned resource data and the cleaned performance data are injected into hive,
meanwhile, according to the service and logic connection relation among the network elements, the host machines, the virtual machines and the network equipment in the cloud resources, organizing and creating resource analysis models and related service analysis models of the host machines, the virtual machines and the network elements, wherein the resource analysis models comprise a VNF performance analysis model, a server power consumption model, a server load model, a network element load model, a carbon emission analysis model, a resource utilization rate model and the like,
and a logic topological graph from the network element to the router is constructed according to the service and logic connection relation among the network element, the host, the virtual machine and the network equipment in the cloud resource,
according to analysis and calculation, data in hive are gathered into various resource analysis models and related business analysis models, data are gathered again according to time dimension, space dimension, equipment dimension and business dimension, resource analysis is carried out according to the dimension by utilizing micro service technology, various resource analysis models and related business analysis models, physical resources, virtual resources and performance data are analyzed according to the time dimension, the space dimension, the equipment dimension and the business dimension by utilizing various resource analysis models and related business analysis models, and the conditions of association configuration and index association fluctuation are carried out, so that a basis is provided for rationality of cloud resource distribution and use.
After the resource analysis, the analysis results are displayed according to the time dimension, the space dimension, the equipment dimension and the service dimension, for example, the performance analysis can be carried out according to different time granularities, and a continuous and discontinuous mode is supported,
based on cloud resources and the association relationship, the cloud resource topological relationship is visually presented, the cloud resource use condition can be seen by combining data such as performance and the like, the static and dynamic efficiency condition can be analyzed, and the adjustment can be carried out in time.
Meanwhile, the invention also provides a cloud resource efficiency evaluation system based on big data analysis, which comprises an acquisition module and an analysis module,
the acquisition module acquires resource data and performance data of the network elements, the host, the virtual machines and the network equipment in the cloud resources through the southbound interfaces of the network elements, and injects the resource data and the performance data into hive,
the analysis module organizes and creates resource analysis models and related business analysis models of the host, the virtual machines and the network elements according to business and logical connection relations among the network elements, the host, the virtual machines and the network devices in the cloud resources, constructs a logical topological graph from the network elements to the router according to the business and logical connection relations among the network elements, the host, the virtual machines and the network devices in the cloud resources,
and summarizing the data in the hive into various resource analysis models and related business analysis models according to analysis calculation, summarizing the data again according to the time dimension, the space dimension, the equipment dimension and the business dimension, and performing resource analysis according to the dimension by using the micro-service technology and various resource analysis models and related business analysis models.
For the information interaction between the modules in the system, the readable program execution process, and other contents, the specific contents may refer to the description in the method embodiment of the present invention because the same conception is based on, and are not described herein again.
Similarly, the system can analyze big data by using performance data and the like, and realize cloud resource management, topology presentation, performance management and analysis and multi-dimensional efficiency analysis by combining resource data, so that the load conditions, power consumption conditions and resource utilization conditions of network elements, servers, virtual machines and the like are analyzed, and a potential means is provided for reasonable allocation of resources.
The invention also provides a computer readable medium, which stores computer instructions, and when the computer instructions are executed by a processor, the processor executes the cloud resource efficiency evaluation method based on big data analysis. Specifically, a system or an apparatus equipped with a storage medium on which software program codes that realize the functions of any of the embodiments described above are stored may be provided, and a computer (or a CPU or MPU) of the system or the apparatus is caused to read out and execute the program codes stored in the storage medium.
In this case, the program code itself read from the storage medium can realize the functions of any of the above-described embodiments, and thus the program code and the storage medium storing the program code constitute a part of the present invention.
Examples of the storage medium for supplying the program code include a floppy disk, a hard disk, a magneto-optical disk, an optical disk (e.g., CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD + RW), a magnetic tape, a nonvolatile memory card, and a ROM. Alternatively, the program code may be downloaded from a server computer via a communications network.
Further, it should be clear that the functions of any one of the above-described embodiments may be implemented not only by executing the program code read out by the computer, but also by causing an operating system or the like operating on the computer to perform a part or all of the actual operations based on instructions of the program code.
Further, it is to be understood that the program code read out from the storage medium is written to a memory provided in an expansion board inserted into the computer or to a memory provided in an expansion unit connected to the computer, and then causes a CPU or the like mounted on the expansion board or the expansion unit to perform part or all of the actual operations based on instructions of the program code, thereby realizing the functions of any of the above-described embodiments.
It should be noted that not all steps and modules in the above flows and system structures are necessary, and some steps or modules may be omitted according to actual needs. The execution order of the steps is not fixed and can be adjusted as required. The system structure described in the above embodiments may be a physical structure or a logical structure, that is, some modules may be implemented by the same physical entity, or some modules may be implemented by a plurality of physical entities, or some components in a plurality of independent devices may be implemented together.
The above-mentioned embodiments are merely preferred embodiments for fully illustrating the present invention, and the scope of the present invention is not limited thereto. The equivalent substitution or change made by the technical personnel in the technical field on the basis of the invention is all within the protection scope of the invention. The protection scope of the invention is subject to the claims.
Claims (9)
1. A cloud resource efficiency evaluation method based on big data analysis is characterized in that resource data and performance data of a network element, a host, a virtual machine and network equipment in cloud resources are obtained through a southbound interface of the network element, the resource data and the performance data are injected into hive,
meanwhile, organizing and creating resource analysis models and related service analysis models of the host, the virtual machines and the network elements according to the service and logic connection relations among the network elements, the host, the virtual machines and the network devices in the cloud resources, and constructing a logic topological graph from the network elements to the router according to the service and logic connection relations among the network elements, the host, the virtual machines and the network devices in the cloud resources,
and summarizing the data in the hive into various resource analysis models and related business analysis models according to analysis calculation, summarizing the data again according to the time dimension, the space dimension, the equipment dimension and the business dimension, and performing resource analysis according to the dimension by using the micro-service technology and various resource analysis models and related business analysis models.
2. The method as claimed in claim 1, wherein the injecting resource data and performance data into hive includes:
and cleaning and processing the resource data and the performance data by using a big data analysis method, and injecting the cleaned resource data and the cleaned performance data into the hive.
3. The method for evaluating cloud resource performance based on big data analysis according to claim 1 or 2, wherein the performing resource analysis includes:
and analyzing the conditions of the physical resources, the virtual resources and the performance data for association configuration and index association fluctuation by utilizing various resource analysis models and related business analysis models according to the time dimension, the space dimension, the equipment dimension and the business dimension.
4. The cloud resource performance evaluation method based on big data analysis as claimed in claim 1, wherein after the resource analysis, the analysis results are displayed according to the time dimension, the space dimension, the equipment dimension and the business dimension.
5. A cloud resource efficiency evaluation system based on big data analysis is characterized by comprising an acquisition module and an analysis module,
the acquisition module acquires resource data and performance data of the network elements, the host, the virtual machines and the network equipment in the cloud resources through the southbound interfaces of the network elements, and injects the resource data and the performance data into hive,
the analysis module organizes and creates resource analysis models and related business analysis models of the host, the virtual machines and the network elements according to business and logical connection relations among the network elements, the host, the virtual machines and the network devices in the cloud resources, constructs a logical topological graph from the network elements to the router according to the business and logical connection relations among the network elements, the host, the virtual machines and the network devices in the cloud resources,
and summarizing the data in the hive into various resource analysis models and related business analysis models according to analysis calculation, summarizing the data again according to the time dimension, the space dimension, the equipment dimension and the business dimension, and performing resource analysis according to the dimension by using the micro-service technology and various resource analysis models and related business analysis models.
6. The cloud resource performance evaluation system based on big data analysis of claim 5, wherein the collection module injects resource data and performance data into hive, comprising:
and cleaning and processing the resource data and the performance data by using a big data analysis method, and injecting the cleaned resource data and the cleaned performance data into the hive.
7. The cloud resource performance evaluation system based on big data analysis of claim 5 or 6, wherein the analysis module performs resource analysis, comprising:
and analyzing the conditions of the physical resources, the virtual resources and the performance data for association configuration and index association fluctuation by utilizing various resource analysis models and related business analysis models according to the time dimension, the space dimension, the equipment dimension and the business dimension.
8. The cloud resource performance evaluation system based on big data analysis of claim 5, further comprising a display module, wherein after the analysis module performs resource analysis, the display module performs display of analysis results according to a time dimension, a space dimension, an equipment dimension, and a business dimension.
9. Computer readable medium, characterized in that said computer readable medium has stored thereon computer instructions, which, when executed by a processor, cause said processor to execute a method for cloud resource performance evaluation based on big data analysis according to any of claims 1 to 4.
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