CN110648035A - Cloud computing maturity evaluation method and device and computer-readable storage medium - Google Patents
Cloud computing maturity evaluation method and device and computer-readable storage medium Download PDFInfo
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Abstract
The embodiment of the invention provides a cloud computing maturity evaluation method, a cloud computing maturity evaluation device and a computer-readable storage medium, wherein the method comprises the following steps: determining the score of each evaluation index based on the preset measurement data of each effect index corresponding to each evaluation index; determining a total score of cloud computing maturity based on the score of each evaluation index; and determining the grade of the cloud computing maturity based on the score threshold corresponding to the preset stage grade of each evaluation index and the total score of the cloud computing maturity.
Description
Technical Field
The invention relates to the technical field of mobile communication, in particular to a cloud computing maturity evaluation method and device and a computer readable storage medium.
Background
Currently, evaluation for cloud computing products, cloud solutions, and cloud services has been performed. The cloud computing product is mainly defined from multiple aspects such as functions, performances and the like aiming at core technologies and products on which the cloud service and the solution depend; the cloud solution benchmark is established aiming at various proprietary cloud, industry cloud and mixed cloud solutions such as IaaS, PaaS, SaaS and the like; the cloud service benchmark is established aiming at various proprietary clouds such as IaaS, PaaS and SaaS, industry clouds and mixed clouds.
At present, a maturity-related evaluation system is not available in the aspect of cloud computing, although a cloud computing evaluation standard range and an object exist, a cloud service product provider is mainly used, that is: the evaluation of a single link is only carried out from the perspective of a cloud service or cloud service solution provider, and a full life cycle evaluation method from the end-to-end perspective of a user is lacked; moreover, most of the related evaluation standards are only used as evaluation means for judging whether the standard is reached, and comprehensive evaluation on the development stage of the cloud computing user is lacked.
Disclosure of Invention
In view of this, embodiments of the present invention are intended to provide a cloud computing maturity evaluation method, apparatus, and computer-readable storage medium.
In order to achieve the above purpose, the technical solution of the embodiment of the present invention is realized as follows:
the embodiment of the invention provides a cloud computing maturity evaluation method, which comprises the following steps:
determining the score of each evaluation index based on the preset measurement data of each effect index corresponding to each evaluation index;
determining a total score of cloud computing maturity based on the score of each evaluation index;
and determining the grade of the cloud computing maturity based on the score threshold corresponding to the preset stage grade of each evaluation index and the total score of the cloud computing maturity.
Wherein the preset evaluation index at least comprises: the method comprises four items of cloud service planning, cloud resource management, cloud service management and cloud security.
The preset stage grade of each evaluation index is determined by the grade of a management index and the grade of a technical index.
Wherein, the preset stage grade of each evaluation index is as follows:
and the lowest level in the management index levels and the technical index levels corresponding to each evaluation index.
Optionally, the score of each evaluation index is determined based on the measurement data of each effect index corresponding to each evaluation index, and is expressed as:
PM＝ki*Ei；
RM＝ki*Ei；
SM＝ki*Ei；
SEM＝ki*Ei；
wherein, k isiWeight values representing the respective effect indicators; eiRepresents a score obtained based on the measurement data of each effect index; PM is the score of the cloud service plan; RM is the score of cloud resource management; SM is the score of cloud service management; SEM is the score for cloud security; and i is a positive integer.
In this embodiment of the present invention, the total score of the cloud computing maturity determined based on the score of each evaluation index is represented as:
S＝m1*PM+m2*RM+m3*SM+m4*SEM；
wherein, said m1To m4Weights representing four evaluation indexes; the S represents the total score of the cloud computing maturity.
In an embodiment of the present invention, the determining the level of the cloud computing maturity based on the score threshold corresponding to the preset stage level of each evaluation index and the total score of the cloud computing maturity includes:
comparing the total score of the cloud computing maturity with a score threshold corresponding to a preset stage grade of each evaluation index, and determining the score threshold corresponding to the total score of the cloud computing maturity;
and determining the corresponding preset stage grade as the evaluation grade of the corresponding evaluation index based on the determined score threshold.
In the embodiment of the present invention, the first and second substrates,
the cloud service plan corresponds to a construction planning and purchasing process in the whole life cycle of the private cloud;
the cloud resource management corresponds to a resource providing process in the full life cycle of the private cloud;
the cloud service management corresponds to the operation, maintenance and service delivery process in the whole life cycle of the private cloud;
the cloud security corresponds to the construction planning, purchasing, resource providing, operation, maintenance and service delivery processes in the whole life cycle of the private cloud.
The embodiment of the invention also provides a cloud computing maturity evaluation device, which comprises:
the first score module is used for determining the score of each evaluation index based on the preset measurement data of each effect index corresponding to each evaluation index;
the second score module is used for determining the total score of the cloud computing maturity based on the score of each evaluation index;
and the grade determining module is used for determining the grade of the cloud computing maturity based on the score threshold corresponding to the preset stage grade of each evaluation index and the total score of the cloud computing maturity.
The embodiment of the invention also provides a cloud computing maturity evaluation device, which comprises: a processor and a memory for storing a computer program capable of running on the processor,
wherein the processor is configured to perform the steps of the above method when running the computer program.
Embodiments of the present invention also provide a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the steps of the above-mentioned method.
According to the cloud computing maturity evaluation method, the cloud computing maturity evaluation device and the computer-readable storage medium, the score of each evaluation index is determined based on the preset measurement data of each effect index corresponding to each evaluation index; determining a total score of cloud computing maturity based on the score of each evaluation index; and determining the grade of the cloud computing maturity based on the score threshold corresponding to the preset stage grade of each evaluation index and the total score of the cloud computing maturity. The cloud computing maturity is determined according to the set evaluation indexes of the private cloud maturity composed of four evaluation indexes, and the cloud computing maturity is evaluated from multiple dimensions in the evaluation process by combining the measurement data of the effect indexes and the preset stage grade of each evaluation index. Compared with the prior art, the method realizes the evaluation of the full life cycle from the end-to-end view of the user; moreover, comprehensive evaluation on the development stage of the cloud computing user is realized.
Drawings
Fig. 1 is a schematic flow chart of a cloud computing maturity evaluation method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a cloud computing maturity evaluation apparatus according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an overall architecture of a cloud computing maturity evaluation model according to an embodiment of the present invention;
FIG. 4 is a schematic view of a cloud full lifecycle of an embodiment of the present invention;
FIG. 5 is a cloud capability maturity distribution magic quadrant, according to an embodiment of the present disclosure;
fig. 6 is a schematic diagram of evaluation of four-domain balance according to the embodiment of the present invention.
Detailed Description
The invention is described below with reference to the figures and examples.
The embodiment of the invention provides a cloud computing maturity evaluation method, as shown in fig. 1, the method comprises the following steps:
step 101: determining the score of each evaluation index based on the preset measurement data of each effect index corresponding to each evaluation index;
step 102: determining a total score of cloud computing maturity based on the score of each evaluation index;
step 103: and determining the grade of the cloud computing maturity based on the score threshold corresponding to the preset stage grade of each evaluation index and the total score of the cloud computing maturity.
In an embodiment of the present invention, the preset evaluation index at least includes: the method comprises four items of cloud service planning, cloud resource management, cloud service management and cloud security.
Here, the cloud service plan bears the function of a "cloud strategy", loads strategic plan, technical plan and service capability improvement management of the cloud service, and includes working contents of cloud architecture management, cloud service product management, cloud service capacity management, service availability management and business continuity management, and indexes concern how to improve management and planning efficiency through technical and flow means;
the cloud resource management is responsible for managing the service condition information of various cloud resources and measuring the resource service capacity which can be provided by the resource pool;
the cloud service management is responsible for operation work related to service delivery facing a user and related operation and maintenance work, and the overall service level of the private cloud is embodied;
the cloud security: the cloud security of the private cloud is the key point for guaranteeing reliable operation of the service, and comprises security management and mechanisms, virtualization security, network security, data security and security service and the like which need to be enhanced in a cloud environment.
The cloud computing maturity is determined according to the set evaluation indexes of the private cloud maturity composed of four evaluation indexes, and the cloud computing maturity is evaluated from multiple dimensions in the evaluation process by combining the measurement data of the effect indexes and the preset stage grade of each evaluation index. Compared with the prior art, the method realizes the evaluation of the full life cycle from the end-to-end view of the user; moreover, comprehensive evaluation on the development stage of the cloud computing user is realized.
In the embodiment of the invention, the preset stage grade of each evaluation index is determined by the grade of a management index and the grade of a technical index.
Here, the preset stage level may include: stage level 1 (L1): discrete island, stage level 2 (L2): hierarchical decoupling, stage level 3 (L3): service oriented, phase level 4 (L4): capacity system, and stage level 5 (L5): service convergence and the like are carried out in five grades, wherein the L1 grade is the lowest, and the L5 grade is the highest, and the details are described later.
In the embodiment of the present invention, the preset stage grade of each evaluation index is:
and the lowest level in the management index levels and the technical index levels corresponding to each evaluation index.
For example: in the cloud service planning, each technical index level is L2, L2 and L3, each management index level is L2, L2 and L2, and then the lowest level L2 from the six levels is taken as the preset stage level of the cloud service planning.
In this embodiment of the present invention, the determining, based on the measurement data of each effect index corresponding to each evaluation index, a score of each evaluation index is expressed as:
PM＝ki*Ei；
RM＝ki*Ei；
SM＝ki*Ei；
SEM＝ki*Ei；
wherein, k isiWeight values representing the respective effect indicators; eiRepresents a score obtained based on the measurement data of each effect index; PM is the score of the cloud service plan; RM is the score of cloud resource management; SM is the score of cloud service management; SEM is the score for cloud security; and i is a positive integer.
Here, the effect index may be set as a quantitative index capable of objectively and quantitatively indicating the capability or effect of cloud service implementation, which is mainly obtained by means of a technical evaluation tool and platform statistical data.
In this embodiment of the present invention, the total score of the cloud computing maturity determined based on the score of each evaluation index is represented as:
S＝m1*RM+m2*RM+m3*SM+m4*SEM；
wherein, said m1To m4Weights representing four evaluation indexes; the S represents the total score of the cloud computing maturity.
In an embodiment of the present invention, the determining the level of the cloud computing maturity based on the score threshold corresponding to the preset stage level of each evaluation index and the total score of the cloud computing maturity includes:
comparing the total score of the cloud computing maturity with a score threshold corresponding to a preset stage grade of each evaluation index, and determining the score threshold corresponding to the total score of the cloud computing maturity;
and determining the corresponding preset stage grade as the evaluation grade of the corresponding evaluation index based on the determined score threshold.
For example: and if the total score of the cloud computing maturity is 65 and falls into a score threshold range of 60-70 in the cloud service plan, wherein the threshold range is a score threshold range corresponding to the L2 grade, determining that the evaluation grade of the cloud service plan is L2.
In the embodiment of the present invention, the first and second substrates,
the cloud service plan corresponds to a construction planning and purchasing process in the whole life cycle of the private cloud;
the cloud resource management corresponds to a resource providing process in the full life cycle of the private cloud;
the cloud service management corresponds to the operation, maintenance and service delivery process in the whole life cycle of the private cloud;
the cloud security corresponds to the construction planning, purchasing, resource providing, operation, maintenance and service delivery processes in the whole life cycle of the private cloud.
Therefore, the evaluation indexes of the embodiment of the invention run through the whole private cloud life cycle of the enterprise: the construction planning, purchasing, resource providing, operation and maintenance, service delivery and the like relate to each role and team of each link. Therefore, the evaluation range is wider, the effect is more accurate, and the purpose of comprehensive evaluation is achieved.
In order to implement the foregoing method, an embodiment of the present invention further provides a cloud computing maturity evaluation apparatus, as shown in fig. 2, the apparatus includes:
the first score module 201 is configured to determine a score of each evaluation index based on measurement data of each effect index corresponding to each preset evaluation index;
a second score module 202, configured to determine a total score of the cloud computing maturity based on the score of each evaluation index;
the grade determining module 203 is configured to determine the grade of the cloud computing maturity based on a score threshold corresponding to the preset stage grade of each evaluation index and the total score of the cloud computing maturity.
The cloud computing maturity is determined according to the set evaluation indexes of the private cloud maturity composed of four evaluation indexes, and the cloud computing maturity is evaluated from multiple dimensions in the evaluation process by combining the measurement data of the effect indexes and the preset stage grade of each evaluation index. Compared with the prior art, the method realizes the evaluation of the full life cycle from the end-to-end view of the user; moreover, comprehensive evaluation on the development stage of the cloud computing user is realized.
In an embodiment of the present invention, the preset evaluation index at least includes: the method comprises four items of cloud service planning, cloud resource management, cloud service management and cloud security.
In the embodiment of the invention, the preset stage grade of each evaluation index is determined by the grade of a management index and the grade of a technical index.
Wherein, the preset stage grade of each evaluation index is as follows:
and the lowest level in the management index levels and the technical index levels corresponding to each evaluation index.
In this embodiment of the present invention, the first score module 201 determines, based on the measurement data of each effect index corresponding to each evaluation index, a score of each evaluation index, which is expressed as:
PM＝ki*Ei；
RM＝ki*Ei；
SM＝ki*Ei；
SEM＝ki*Ei；
wherein, k isiWeight values representing the respective effect indicators; eiRepresents a score obtained based on the measurement data of each effect index; PM is the score of the cloud service plan; RM is the score of cloud resource management; SM managed for cloud servicesScoring; SEM is the score for cloud security; and i is a positive integer.
In this embodiment of the present invention, the second score module 202 determines, based on the score of each evaluation index, a total score of the cloud computing maturity, which is represented as:
S＝m1*PM+m2*RM+m3*SM+m4*SEM；
wherein, said m1To m4Weights representing four evaluation indexes; the S represents the total score of the cloud computing maturity.
In this embodiment of the present invention, the determining module 203 determines the grade of the cloud computing maturity based on the score threshold corresponding to the preset stage grade of each evaluation index and the total score of the cloud computing maturity, including:
comparing the total score of the cloud computing maturity with a score threshold corresponding to a preset stage grade of each evaluation index, and determining the score threshold corresponding to the total score of the cloud computing maturity;
and determining the corresponding preset stage grade as the evaluation grade of the corresponding evaluation index based on the determined score threshold.
In the embodiment of the present invention, the first and second substrates,
the cloud service plan corresponds to a construction planning and purchasing process in the whole life cycle of the private cloud;
the cloud resource management corresponds to a resource providing process in the full life cycle of the private cloud;
the cloud service management corresponds to the operation, maintenance and service delivery process in the whole life cycle of the private cloud;
the cloud security corresponds to the construction planning, purchasing, resource providing, operation, maintenance and service delivery processes in the whole life cycle of the private cloud.
The embodiment of the invention also provides a cloud computing maturity evaluation device, which comprises: a processor and a memory for storing a computer program capable of running on the processor,
wherein the processor is configured to execute, when running the computer program:
determining the score of each evaluation index based on the preset measurement data of each effect index corresponding to each evaluation index;
determining a total score of cloud computing maturity based on the score of each evaluation index;
and determining the grade of the cloud computing maturity based on the score threshold corresponding to the preset stage grade of each evaluation index and the total score of the cloud computing maturity.
Wherein the preset evaluation index at least comprises: the method comprises four items of cloud service planning, cloud resource management, cloud service management and cloud security.
The preset stage grade of each evaluation index is determined by the grade of a management index and the grade of a technical index.
Wherein, the preset stage grade of each evaluation index is as follows:
and the lowest level in the management index levels and the technical index levels corresponding to each evaluation index.
When the score of each evaluation index is determined based on the measurement data of each effect index corresponding to each evaluation index, the processor is further configured to execute, when the computer program is run, the following steps:
PM＝ki*Ei；
RM＝ki*Ei；
SM＝ki*Ei；
SEM＝ki*Ei；
wherein, k isiWeight values representing the respective effect indicators; eiRepresents a score obtained based on the measurement data of each effect index; PM is the score of the cloud service plan; RM is the score of cloud resource management; SM is the score of cloud service management; SEM is the score for cloud security; and i is a positive integer.
The processor is further configured to, when determining the total score of the cloud computing maturity based on the score of each evaluation index, execute:
S＝m1*PM+m2*RM+m3*SM+m4*SEM；
wherein, said m1To m4Weights representing four evaluation indexes; the S represents the total score of the cloud computing maturity.
When the grade of the cloud computing maturity is determined based on the score threshold corresponding to the preset stage grade of each evaluation index and the total score of the cloud computing maturity, the processor is further configured to execute, when the computer program is run:
comparing the total score of the cloud computing maturity with a score threshold corresponding to a preset stage grade of each evaluation index, and determining the score threshold corresponding to the total score of the cloud computing maturity;
and determining the corresponding preset stage grade as the evaluation grade of the corresponding evaluation index based on the determined score threshold.
The cloud service plan corresponds to a construction planning and purchasing process in the whole life cycle of the private cloud;
the cloud resource management corresponds to a resource providing process in the full life cycle of the private cloud;
the cloud service management corresponds to the operation, maintenance and service delivery process in the whole life cycle of the private cloud;
the cloud security corresponds to the construction planning, purchasing, resource providing, operation, maintenance and service delivery processes in the whole life cycle of the private cloud.
It should be noted that: when the device provided in the above embodiment performs cloud computing maturity evaluation, only the division of each program module is illustrated, and in practical applications, the processing allocation may be completed by different program modules according to needs, that is, the internal structure of the device is divided into different program modules to complete all or part of the processing described above. In addition, the apparatus provided in the above embodiments and the corresponding method embodiments belong to the same concept, and specific implementation processes thereof are described in the method embodiments and are not described herein again.
In an exemplary embodiment, the embodiment of the present invention also provides a computer-readable storage medium, which may be a Memory such as FRAM, ROM, PROM, EPROM, EEPROM, Flash Memory, magnetic surface Memory, optical disc, or CD-ROM; or may be a variety of devices including one or any combination of the above memories, such as a mobile phone, computer, tablet device, personal digital assistant, etc.
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, performs:
determining the score of each evaluation index based on the preset measurement data of each effect index corresponding to each evaluation index;
determining a total score of cloud computing maturity based on the score of each evaluation index;
and determining the grade of the cloud computing maturity based on the score threshold corresponding to the preset stage grade of each evaluation index and the total score of the cloud computing maturity.
Wherein the preset evaluation index at least comprises: the method comprises four items of cloud service planning, cloud resource management, cloud service management and cloud security.
The preset stage grade of each evaluation index is determined by the grade of a management index and the grade of a technical index.
Wherein, the preset stage grade of each evaluation index is as follows:
and the lowest level in the management index levels and the technical index levels corresponding to each evaluation index.
When the score of each evaluation index is determined based on the measurement data of each effect index corresponding to each evaluation index, when the computer program is executed by the processor, the computer program further executes:
PM＝ki*Ei；
RM＝ki*Ei；
SM＝ki*Ei；
SEM＝ki*Ei；
wherein, k isiWeight values representing the respective effect indicators; eiRepresents a score obtained based on the measurement data of each effect index; RM is the score of the cloud service plan; RM is the score of cloud resource management; SM is the score of cloud service management; SEM is the score for cloud security; and i is a positive integer.
When determining the total score of the cloud computing maturity based on the score of each evaluation index, the computer program, when executed by the processor, further performs:
S＝m1*PM+m2*RM+m3*SM+m4*SEM；
wherein, said m1To m4Weights representing four evaluation indexes; the S represents the total score of the cloud computing maturity.
When the grade of the cloud computing maturity is determined based on the score threshold corresponding to the preset stage grade of each evaluation index and the total score of the cloud computing maturity, the computer program further executes, when executed by the processor:
comparing the total score of the cloud computing maturity with a score threshold corresponding to a preset stage grade of each evaluation index, and determining the score threshold corresponding to the total score of the cloud computing maturity;
and determining the corresponding preset stage grade as the evaluation grade of the corresponding evaluation index based on the determined score threshold.
The cloud service plan corresponds to a construction planning and purchasing process in the whole life cycle of the private cloud;
the cloud resource management corresponds to a resource providing process in the full life cycle of the private cloud;
the cloud service management corresponds to the operation, maintenance and service delivery process in the whole life cycle of the private cloud;
the cloud security corresponds to the construction planning, purchasing, resource providing, operation, maintenance and service delivery processes in the whole life cycle of the private cloud.
The invention is described below in conjunction with the scenario embodiments.
The technical scheme of the embodiment can be divided into two parts, namely: a cloud computing maturity evaluation model overview and a cloud computing maturity evaluation method. The cloud computing maturity evaluation model mainly evaluates the IaaS capability, and comprehensively evaluates the cloud computing maturity level by combining key index (quantitative index, namely the effect index) grading and reference index (management index and technical index) grading; and evaluating the cloud according to the cloud computing maturity evaluation index, namely evaluating the cloud according to the key index and the reference index respectively, and obtaining the final cloud computing maturity total score through comprehensive evaluation.
1. Overview of cloud computing maturity assessment model:
an enterprise private cloud Capability Maturity assessment model-3 CMM (cloud Computing Capability Maturity model), which can divide the 3CMM model into four module domains (four assessment indexes) according to a main line of service, a key point of planning and resources, and a security guarantee, as shown in fig. 3. The four-domain evaluation content runs through the entire private cloud lifecycle. Each module domain (each index) is comprehensively evaluated mainly according to the effect, and the technical and management factors are comprehensively considered. By means of a quantitative evaluation tool and a qualitative evaluation means, different maturity levels of the industry private cloud users are comprehensively determined and evaluated.
1) The four-domain module is divided as follows:
the Cloud service planning (Cloud service planning Model) is used for bearing the functions of a Cloud strategy, loading strategic planning, technical planning and service capability improvement management of Cloud services, including working contents of Cloud architecture management, Cloud service product management, Cloud service capacity management, service availability management and service continuity management, and paying attention to the improvement of management and planning efficiency through technical and flow means.
The Cloud resource management (Cloud resource Model) is responsible for managing the use condition information of various Cloud resources and measuring the resource service capability which can be provided by the resource pool.
The Cloud service management (Cloud service management Model) comprises operation work related to service delivery facing a user and related operation and maintenance work, and embodies the overall service level of a private Cloud.
Cloud security (Cloud security Model), the Cloud security of private Cloud is the key point for guaranteeing reliable operation of services, including security management and mechanism, and virtualization security, network security, data security and security services that need to be enhanced in Cloud environment.
2) The three-dimensional rating is as follows:
and judging the comprehensive development level of the cloud computing in three dimensions of management, technology and effect, as shown in the table 1. The method mainly reflects in the aspects of cloud computing IT service flow, open and standardized service, resource sharing pooling, automatic management, elastic expansion and the like, and evaluates the development stage of a maturity model from a discrete island to shared self-adaption.
Table 1: three-dimensional ranking core element
3) The assessment model covers the full lifecycle:
the evaluation content of the 3CMM evaluation model extends throughout the enterprise private cloud lifecycle, as shown in fig. 4, including: the whole process of construction planning, purchasing, resource providing, operation and maintenance and service delivery relates to each role and team of each link.
4) Cloud computing maturity evaluation index:
the evaluation indexes of the embodiment can be divided into a quantitative type and a qualitative type; wherein, the quantitative index (effect index): the cloud service evaluation method mainly refers to key consideration indexes with core area division, can objectively and quantitatively indicate the cloud service implementation capacity or effect, is used for grading capacity difference of effect differentiation, and is mainly obtained by means of technical evaluation tools and platform equivalence data; qualitative index (management index and technical index): the index is an index for assisting in optimization analysis and promotion, is used for evaluating the maturity level and is mainly obtained by means of expert evaluation, platform function verification and interview.
a. Key indexes are as follows:
the key indexes are quantitative indexes, the scoring method is based on weighting scoring of the effect indexes, namely module domain scores, and the calculation formula is as follows:
PM＝ki*Ei (1)
RM＝ki*Ei (2)
SM＝ki*Ei (3)
SEM＝ki*Ei (4)
wherein, k isiWeight values representing the respective effect indicators; eiRepresents a score obtained based on the measurement data of each effect index; the PM is a weighted value (score) of the cloud service plan; RM is a weighted value (score) of cloud resource management; SM is a weighted value (score) of cloud service management; SEM is the weighted value (score) of cloud security; and i is a positive integer.
b. Reference index:
the reference index is a qualitative index, data is obtained through experts, accuracy of a data source is guaranteed, and evaluation and scoring are respectively carried out on the four-domain technology and management by adopting methods such as expert evaluation, platform function verification and the like.
c. Evaluation index fusion mapping
The 3CMM model combines the mapped scores of the key index and the reference index to calculate a final private cloud computing maturity level, as described in the above embodiments.
Wherein, the reference indexes correspond to different thresholds according to different grades L1-L5, and four-domain weighted summary can be obtained by combining module domain scores (scores of each evaluation index) obtained by formulas (1) - (4), namely a maturity total score, and the calculation formula is as follows:
S＝m1*PM+m2*RM+m3*SM+m4*SEM (5)
wherein m: representing the weight of the four module domain.
The above calculation is shown as an example in table 2 below:
table 2: score calculation table
After the CMM model calculates the total maturity score and the evaluation grades of the modules, a user can be helped to analyze and build comprehensive cloud capacity maturity distribution of the cloud computing service in a post-evaluation mode, as shown in FIG. 5, the maturity grade distribution of each province in two dimensions of technology and management is clearly displayed in the figure; in addition, the method can help a user to analyze the advantages and short boards of existing cloud computing links (modules), as shown in fig. 6, so as to discover weak links of the cloud, perform targeted analysis and improve the emphasis.
The cloud computing maturity is determined according to the set evaluation indexes of the private cloud maturity composed of four evaluation indexes, and the cloud computing maturity is evaluated from multiple dimensions in the evaluation process by combining the measurement data of the effect indexes and the preset stage grade of each evaluation index. Compared with the prior art, the method realizes the evaluation of the full life cycle from the end-to-end view of the user; moreover, comprehensive evaluation on the development stage of the cloud computing user is realized.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.
Claims (11)
1. A cloud computing maturity assessment method is characterized by comprising the following steps:
determining the score of each evaluation index based on the preset measurement data of each effect index corresponding to each evaluation index;
determining a total score of cloud computing maturity based on the score of each evaluation index;
and determining the grade of the cloud computing maturity based on the score threshold corresponding to the preset stage grade of each evaluation index and the total score of the cloud computing maturity.
2. The method according to claim 1, wherein the preset evaluation index at least comprises: the method comprises four items of cloud service planning, cloud resource management, cloud service management and cloud security.
3. The method of claim 1, wherein the predetermined stage level of each evaluation index is determined by a management index level and a technical index level.
4. The method according to claim 3, wherein the preset stage grade of each evaluation index is:
and the lowest level in the management index levels and the technical index levels corresponding to each evaluation index.
5. The method according to claim 1, wherein the score of each evaluation index is determined based on the measurement data of each effect index corresponding to each evaluation index, and is expressed as:
PM＝ki*Ei；
RM＝ki*Ei；
SM＝ki*Ei；
SEM＝ki*Ei；
wherein, k isiWeight values representing the respective effect indicators; eiRepresents a score obtained based on the measurement data of each effect index; PM is the score of the cloud service plan; RM is the score of cloud resource management; SM is the score of cloud service management; SEM is the score for cloud security; and i is a positive integer.
6. The method of claim 5, wherein the total score of cloud computing maturity is determined based on the score of each evaluation index, and is expressed as:
S＝m1*PM+m2*RM+m3*SM+m4*SEM；
wherein, said m1To m4Weights representing four evaluation indexes; the S represents the total score of the cloud computing maturity.
7. The method according to claim 1, wherein the determining the grade of the cloud computing maturity based on the score threshold corresponding to the preset stage grade of each evaluation index and the total score of the cloud computing maturity comprises:
comparing the total score of the cloud computing maturity with a score threshold corresponding to a preset stage grade of each evaluation index, and determining the score threshold corresponding to the total score of the cloud computing maturity;
and determining the corresponding preset stage grade as the evaluation grade of the corresponding evaluation index based on the determined score threshold.
8. The method of claim 1,
the cloud service plan corresponds to a construction planning and purchasing process in the whole life cycle of the private cloud;
the cloud resource management corresponds to a resource providing process in the full life cycle of the private cloud;
the cloud service management corresponds to the operation, maintenance and service delivery process in the whole life cycle of the private cloud;
the cloud security corresponds to the construction planning, purchasing, resource providing, operation, maintenance and service delivery processes in the whole life cycle of the private cloud.
9. A cloud computing maturity assessment apparatus, the apparatus comprising:
the first score module is used for determining the score of each evaluation index based on the preset measurement data of each effect index corresponding to each evaluation index;
the second score module is used for determining the total score of the cloud computing maturity based on the score of each evaluation index;
and the grade determining module is used for determining the grade of the cloud computing maturity based on the score threshold corresponding to the preset stage grade of each evaluation index and the total score of the cloud computing maturity.
10. A cloud computing maturity assessment apparatus, the apparatus comprising: a processor and a memory for storing a computer program capable of running on the processor,
wherein the processor is adapted to perform the steps of the method of any one of claims 1-8 when running the computer program.
11. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 8.
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