Identification resource storage and mark management method

Abstract

The invention provides an identification resource storage and mark management method, and relates to the field of Internet of Things; attributes and contents of identification resource objects are abstracted and processed separately, independent storage of each subdivided object conforms to the updating iteration characteristics of the identification resources of the Internet of Things, and the identification resources suitable for storage management of the identification resources of the Internet of Things are selected. Finally, management and mark tracing of the identification resource objects in computer storage can be achieved. The storage space utilization rate can be increased, the time efficiency of storage reading and writing can be improved, rapid version marking and switching can be achieved, historical version integrity verification can be achieved, and dependency between version marking can be eliminated.

Description

technical field [0001] The invention relates to the field of the Internet of Things, in particular to a method for identifying resource storage and tag management. Background technique [0002] In the current Internet of Things environment, "Internet of Everything" is the current development trend. "Internet of Everything" requires that each "thing" be given a unique identifier as the basis for interconnection, and the related resources corresponding to this "thing" are called An identification resource, which can be a collection of different objects. The identifier is unique and constant, but the identifier resource is variable. In order to meet the traceability requirements of the Internet of Things, important changes to the identifier resource should be stored and marked to form a version for subsequent inspection. The storage mark of identification resources is inseparable from computer applications. Identification resources can contain different objects, generally text...

AI Technical Summary

Problems solved by technology

[0013] 2. Inefficiency, all logo resources are compressed and decompressed, and repeated content is also compressed and decompressed, which wastes computing power

by figure 1 As an example, when the workbench pointer is switched from version v1.0.0 to version v2.0.0, the content of the text "text one two three" and the picture "pic123" are the same. In fact, there is no need to repeat decompression, but because there is no verification mechanism to confirm , so repeat the decompression operation;

[0014] 3. Low flexibility, all logo resources are compressed together, which means that only one compression algorithm can be used, which has low flexibility and low efficiency

[0022] 1. The storage space utilization rate is not high, and the original file storage of the workbench is not compressed;

[0023] 2. The calculation of extraction and storage is complicated, and the calculation from the first version to the current version is performed based on the original file name. As the number of versions increases, the calculation workload also increases

[0024] 3. Insufficient fault tolerance, sequential calculation based on the file name, if one of the version storage is deleted or abnormal, all versions after the abnormal version cannot be calculated and restored;

[0025] 4. The anti-tampering security is not enough, and methods such as hash verification cannot be added to confirm the storage object, and verification cannot be performed when illegal tampering occurs

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