Data value degree calculation method based on analytic hierarchy process

Abstract

The invention provides a data value degree calculation method based on an analytic hierarchy process. A calculation formula of a value degree lambda of a data x is as follows: lambda(x)=a1*(1 / S)+a2T+a3F+a4C+a5D+a6V, wherein S represents data size; T represents an access time interval; the longer the unused time of the data after access is, the lower the importance and the value degree of the data are, and the probability that the data is accessed again is correspondingly reduced; F represents read-write frequency of the data; the value of the data with high read-write frequency is higher; C represents the quantity of users access; the larger the number of users accessing the data is, the higher the value of the data is; D represents content of a file; V represents a prospective value of the data; the value is obtained through calculation of similarity of the users; a1, a2, a3, a4, a5 and a6 are weighting coefficients of itemized attributes of a computer characteristic value lambda respectively. According to the characteristic value, the data size, the access time, the file content, the read-write frequency of the data and the access quantity are taken into consideration, and meanwhile, the importance of the data and the access probability of the data in a future period of time are also taken into consideration.

Description

technical field [0001] The invention belongs to the field of decision-making value evaluation, in particular to a data value degree calculation method based on the analytic hierarchy process. Background technique [0002] The era of big data has arrived, data is growing rapidly, and the amount of data has become huge, reaching EB (10 12 GB) level, data types are gradually increasing, of which unstructured data, such as network logs, audio and video, pictures, geographical location information, etc. exceed 80%, the value density of data is quite low, and it needs to be extracted through data filtering and data analysis out its value. In response to the storage requirements for a large amount of unstructured data, traditional storage methods cannot meet the increasing data storage requirements. Hierarchical storage management technology provides ideas for solving this problem. [0003] The hierarchical storage structure of the storage system is a pyramidal structure composed...

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Problems solved by technology

[0011] In order to overcome the above problems of low storage efficiency and low accuracy, the present invention proposes a data value calculation method based on the analytic hierarchy process. This characteristic value not only considers the size of the data, access time, file content, data read and write frequency and The number of visits, taking into account the importance of the data and the possibility of being accessed in the future

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