Abstract
Spatial data occupies a large proportion of the large amount of data that is constantly emerging, but a large amount of spatial data cannot be directly understood by people. Even a highly configured stand-alone computing device can hardly meet the needs of visualization processing. In order to protect the security of data and facilitate for users the search for data and recover by mistake, this paper conducts a research on cloud computing storage backup and recovery strategies based on the secure Internet of Things and Spark platform. In the method part, this article introduces the security Internet of Things, Spark, and cloud computing backup and recovery related content and proposes cluster analysis and Ullman two algorithms. In the experimental part, this article explains the experimental environment and experimental objects and designs an experiment for data recovery. In the analysis part, this article analyzes the challenge-response-verification framework, the number of data packets, the cost of calculation and communication, the choice of Spark method, the throughput of different platforms, and the iteration and cache analysis. The experimental results show that the loss rate of database 1 in the fourth node is 0.4%, 2.4%, 1.6%, and 3.2% and the loss rate of each node is less than 5%, indicating that the system can respond to applications.
Highlights
Introduction eInternet of ings is known as the third wave of information technology after computers and the Internet
Is paper proposes cloud computing storage backup and recovery strategies based on the secure Internet of ings and Spark and conducts related research
This article analyzes the challenge-response-verification framework, the number of data packets, the cost of calculation and communication, the choice of Spark method, the throughput of different platforms, and the iteration and cache analysis. e innovation of this article is to combine the secure Internet of ings with Spark and use these two technologies to study storage backup and recovery strategies based on cloud computing, so as to maximize the value of data
Summary
Based on the secure IoT and Spark cloud computing storage backup and recovery strategies, many scholars at home and abroad have conducted related research. Is paper proposes cloud computing storage backup and recovery strategies based on the secure Internet of ings and Spark and conducts related research. This article introduces the security Internet of ings, Spark, and cloud computing backup and recovery related content and proposes cluster analysis and Ullman two algorithms. E innovation of this article is to combine the secure Internet of ings with Spark and use these two technologies to study storage backup and recovery strategies based on cloud computing, so as to maximize the value of data. 2. Cloud Computing Storage Backup and Recovery Strategy Method Based on Secure IoT and Spark. Network construction layer: the key task of this layer is to connect the analysis and identification equipment of the lower layer to the Internet so that the upper layer can access the application. e foundation of the Internet of ings is the
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
