Research on optimization of real-time efficient storage algorithm in data information serialization

Huang, Bin and Tang, You and Singh, Dhananjay (2021) Research on optimization of real-time efficient storage algorithm in data information serialization. PLOS ONE, 16 (12). e0260697. ISSN 1932-6203

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Abstract

Background
Along with the vigorous development of Internet technology, increasing the functions of the various types of equipment, network communication easy and diversity, at the same time, the amount of data is very huge, under the network bandwidth limitations, through long lead to a data need to be cut into more, one by one, transfer times, information delay problems.

Results
Aiming at the problems of poor data integrity, low efficiency and poor serialization efficiency of traditional data storage information, this article introduces Protobuf technology to study the serialization of data storage information. The serpentine gap method is used to complete the allocation interval of the sequence nodes, so that the working state and the resting state always maintain a dynamic balance. According to the first-level rules, the storage data of the completed target node is obtained, and the grammatical structure and the semantics of the target data are analyzed, Meanwhile corresponding correspondences are established, and the data storage information is serialized. In order to verify the effectiveness of Protobuf’s data storage information serialization method, a comparative experiment is designed. By using three methods of HDVM, Redis and Protobuf to serialize JSON data, the comparative analysis shows that HDVM has the longest processing time and Protobuf has the shortest processing time, and the data integrity is not affected. The simulation data shows that the Protobuf serialization method has short conversion time, high space utilization, and the Obvious advantages in correctness and integrity. It is vary suitable for serialization of JSON data in the case of limited bandwidth.

Item Type: Article
Subjects: Asian STM > Social Sciences and Humanities
Depositing User: Managing Editor
Date Deposited: 26 Dec 2022 05:35
Last Modified: 27 Dec 2023 06:59
URI: http://journal.send2sub.com/id/eprint/105

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