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Protection and Activation of Cultural Heritage Based on Cloud Computing Platform
Author(s) -
Yuanheng Gao,
Leilei Wang,
Heqing Zhang,
Run Liu
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/750/1/012216
Subject(s) - cloud computing , computer science , cultural heritage , big data , resource (disambiguation) , quality of service , routing (electronic design automation) , world wide web , multimedia , computer network , operating system , archaeology , history
Cultural heritage is the crystallization of the wisdom of peoples of all countries. Its value is inestimable, and countries and regions around the world have reached a consensus on protecting cultural heritage. The digital museum uses virtual reality technology, three-dimensional scanning technology, computer network technology and other display technologies to present the physical museum in a three-dimensional manner in the network application in the real world. The challenges facing the construction of digital museums mainly come from two aspects: Technically, digital museums can be regarded as a combination of a large-scale distributed information resource database and a multimedia broadband network, and a unified platform resource for cultural heritage natural resource information sharing and services. In terms of management, there are a series of problems in the management of digital museums in all stages of data collection, storage, transmission, and display. Based on the above background, the research content of this article is the protection and activation of cultural heritage based on cloud computing platform. This article analyzes the technical problems facing digital museums. Based on the in-depth study of Hadoop cloud computing, a digital museum construction plan based on Hadoop and a distributed multi-QoS parallel routing algorithm based on TCP / IP are proposed. This paper mainly adopts multi-QoS distributed parallel routing algorithm to improve the data transmission efficiency, thereby improving the query response speed of the system. This paper analyzes the theoretical foundation of Hadoop and the feasibility of building a digital museum, and builds the module implementation of the digital museum. Finally, the construction of Hadoop experimental environment is introduced. Simulation results show that compared with traditional algorithms, the improved algorithm can balance network load and improve network resource utilization. The performance analysis of the system verifies that the model proposed in this paper meets the requirements of security and integrity.

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