CN-122019319-A - Application migration suitability evaluation method, device and storage medium

CN122019319ACN 122019319 ACN122019319 ACN 122019319ACN-122019319-A

Abstract

The application provides an application migration suitability evaluation method, an application migration suitability evaluation device and a storage medium, relates to the technical field of information, and can more comprehensively determine an application migration suitability evaluation result. The method comprises the steps of obtaining multi-source data of an application migration process, wherein the multi-source data comprise a migration scheme for planning the application migration process, migration performance test information for evaluating the migration performance of the application and migration results for representing application migration results, determining the score of each evaluation index in a plurality of evaluation indexes based on the multi-source data, determining the comprehensive score of the application migration process based on the score and weight of each evaluation index in the plurality of evaluation indexes, and determining the suitability level of the application migration process based on the comprehensive score.

Inventors

FU YU
ZHU XIAOYU
GE YUE
ZHANG JINGJING
ZHAO ZHANCHUN
PAN SIYU
XIAO DONGRUI
ZHANG DING
PENG YU
YANG JIANJIAN
NING DAN
KONG FANYI
Ao di
LI PANPAN
LIU YUHAN
WANG FENGJUN

Assignees

中国联合网络通信集团有限公司

Dates

Publication Date: 20260512
Application Date: 20260123

Claims (10)

1. An application migration suitability evaluation method is characterized by comprising the following steps: The method comprises the steps of obtaining multi-source data of an application migration process, wherein the multi-source data comprises a migration scheme for planning an application migration process, migration performance test information for evaluating application migration performance and migration results for representing application migration results; determining a score for each of a plurality of assessment indicators based on the multi-source data; Determining a composite score for the application migration process based on the score and the weight of each of the plurality of assessment indicators; and determining the suitability level of the application migration process based on the comprehensive score.
2. The method according to claim 1, wherein the method further comprises: Acquiring service requirements of the application migration process and a historical score of each evaluation index in at least one historical migration process; determining a first weight of each evaluation index based on the service requirement of the application migration process; determining a second weight for each of the assessment indicators based on the historical scores for each of the assessment indicators; and carrying out weighted summation on the first weight and the second weight to determine the weight of each evaluation index.
3. The method of claim 2, wherein determining the first weight for each of the evaluation metrics based on the business requirements of the application migration process comprises: Determining a relative scale between each two evaluation indexes of the plurality of evaluation indexes based on the service requirement of the application migration process, wherein the relative scale is used for indicating the importance degree of one evaluation index relative to the other evaluation index; Constructing a relative scale matrix by taking the plurality of evaluation indexes as rows and columns of the relative scale matrix and taking the relative scale as an element of the relative scale matrix; and carrying out normalization processing on the relative scale matrix, and determining the average value of each row of elements of the relative scale matrix after normalization processing as the first weight of each evaluation index.
4. The method of claim 2, wherein determining the second weight for each of the evaluation metrics based on the historical scores for each of the evaluation metrics comprises: Taking the at least one history migration process as a column of a history scoring matrix, taking each evaluation index as a row of the history scoring matrix, taking the history scores as elements of the history scoring matrix, and constructing a history scoring matrix; normalizing the historical scoring matrix, and determining a normalized historical scoring matrix; and determining a second weight of each evaluation index based on an entropy method and the normalized historical scoring matrix.
5. The method of claim 4, wherein determining the second weight for each evaluation index based on the entropy method and the normalized historical scoring matrix comprises: determining the ratio of the sum of the first element and the column element where the first element is positioned as the characteristic specific gravity of the first element, wherein the first element is one element in the normalized historical scoring matrix; Determining the entropy value of an evaluation index corresponding to the column where the first element is located based on the characteristic specific gravity of the element in the column where the first element is located; And determining a second weight of the evaluation index corresponding to the column of the first element based on the entropy value of the evaluation index corresponding to the column of the first element.
6. A method according to claim 3, wherein the normalized historical scoring matrix satisfies the following equation: Wherein, the For the elements in the j-th column of the i-th row of the normalized history scoring matrix, For the elements in the j-th column of the i-th row of the history scoring matrix before normalization, The maximum value of the element in the j-th column, Is the minimum value of the j-th column element.
7. The method of claim 5, wherein the entropy value satisfies the following formula: Wherein, the For the entropy value of the corresponding evaluation index of the j-th column, For the feature specific gravity corresponding to the ith row and jth column elements, n is the total number of history migration processes, and i and j are integers.
8. The application migration suitability evaluation device is characterized by comprising an acquisition unit and a determination unit; The multi-source data comprises a migration scheme for planning an application migration process, migration performance test information for evaluating application migration performance and migration results for representing application migration results; The determining unit is used for determining the score of each evaluation index in the plurality of evaluation indexes based on the multi-source data; The determining unit is further used for determining a comprehensive score of the application migration process based on the score and the weight of each evaluation index in the plurality of evaluation indexes; The determining unit is further configured to determine an suitability level of the application migration process based on the composite score.
9. An application migration suitability evaluation apparatus comprising a processor and a communication interface, the communication interface and the processor being coupled, the processor being for running a computer program or instructions to implement the method of any one of claims 1-7.
10. A computer readable storage medium having instructions stored therein, characterized in that, when the instructions are executed by a computer, the computer performs the method of any of the preceding claims 1-7.

Description

Application migration suitability evaluation method, device and storage medium Technical Field The present application relates to the field of information technologies, and in particular, to a method and apparatus for evaluating application migration suitability, and a storage medium. Background With the rapid development of information technology, the information creation application has wide application in a plurality of industries. The performance of the credit application in the new environment after migration needs to pay important attention to whether the performance of the application or service can be achieved, so that the problem that the operation is interrupted, data is lost, performance is reduced and the like may be caused by the fact that the migration suitability of the credit application is evaluated by a migration suitability evaluation method without proper application. At present, the application migration adaptation evaluation method of the related art evaluates the compatibility of the migrated applications mainly by evaluating the adaptation degree of the applications to be migrated one by one or evaluating the compatibility of the migrated applications by the migrated application codes. However, the service scene often involved in the migration of the existing new application is often complex, and as the demand of the credit industry on the system after the migration of the credit application is higher, the application migration adaptation evaluation method of the related technology has the problem of one-sided evaluation result. Disclosure of Invention The application provides an application migration suitability evaluation method, an application migration suitability evaluation device and a storage medium, which can comprehensively determine an application migration suitability evaluation result. In order to achieve the above purpose, the application adopts the following technical scheme: The application migration suitability evaluation method comprises the steps of obtaining multi-source data of an application migration process, wherein the multi-source data comprise a migration scheme for planning the application migration process, migration performance test information for evaluating the migration performance of the application and migration results for representing application migration results, determining the score of each evaluation index in a plurality of evaluation indexes based on the multi-source data, determining the comprehensive score of the application migration process based on the score and weight of each evaluation index in the plurality of evaluation indexes, and determining the suitability grade of the application migration process based on the comprehensive score. The technical scheme at least has the advantages that the scores corresponding to the evaluation indexes are determined by acquiring the multi-source data in the application migration process, the acquired multi-source data are more and comprehensive in variety, multiple aspects of the application migration process can be reflected, and comprehensive data are provided for the subsequent determination of the application migration grade. The application migration process is scored through a plurality of evaluation indexes, the suitability level of the application migration process is determined, wherein the plurality of evaluation indexes correspond to a plurality of evaluation angles, and the application migration suitability is evaluated through the plurality of evaluation angles, so that the application migration adaptation evaluation result can be comprehensively determined. In one possible implementation, the method further includes obtaining a business requirement of the application migration process and a historical score of each evaluation index in at least one historical migration process, determining a first weight of each evaluation index based on the business requirement of the application migration process, determining a second weight of each evaluation index based on the historical score of each evaluation index, and determining the weight of each evaluation index by weighted summing the first weight and the second weight. In one possible implementation, determining the first weight of each evaluation index based on the traffic demand of the application migration process includes determining a relative scale between each two evaluation indexes of the plurality of evaluation indexes based on the traffic demand of the application migration process, the relative scale indicating the importance degree of one evaluation index relative to the other evaluation index of the two evaluation indexes, constructing a relative scale matrix by using the plurality of evaluation indexes as rows and columns of the relative scale matrix and the relative scale as elements of the relative scale matrix, normalizing the relative scale matrix, and determining an average value of each row element of the normalized