Abstract
With the rapid development of Internet of Things (IoT) technology, IoT terminal nodes are facing many challenges in data storage, distribution, and data management. In particular, in the IoT terminal nodes considering access cost, the corresponding data distribution and storage are professional, complex, and miscellaneous. Based on the abovementioned current situation, this article innovatively proposes a complex sensor data placement algorithm based on the cloud storage distribution of IoT terminal nodes. Under this algorithm, the accurate division of IoT data I/O methods is realized through reasonable configuration. Through the adaptive sensing algorithm, while fully considering the access cost of the algorithm, the performance of the IoT data storage system is further optimized. In the corresponding terminal node load balancing problem, this article innovatively proposes the terminal node data sorting and distribution algorithm through the node data. The sorting and distribution algorithm realizes the precise segmentation of the IoT data to be processed, thereby realizing the improvement of data reading and processing speed. Based on the proposed algorithm, this article designs a load balancing cloud storage data distribution optimization system of IoT terminal nodes considering access cost and carries out experimental verification in a real environment. The experimental results show that the data pattern division accuracy corresponding to the proposed distribution strategy is improved to 97.13% and the corresponding data access efficiency is improved to 98.3%, compared with the traditional distribution strategy. Therefore, the data distribution strategy proposed in this article has obvious performance advantages and further promotion value.
Highlights
Introduction e main architecture of theInternet of ings (IoT) includes the perception layer, network layer, management layer and application layer. e conventional sensing layer is mainly used to collect relevant physical information, such as temperature, humidity, air composition, and optical signals.e continuous collection and storage of data by the relevant sensor networks of the IoT cause problems of data distribution and data management [1–3]. e relevant data of the IoT are mainly classified into structured data and unstructured data. e corresponding structured data mainly depend on open-source databases and other products, while the storage of the corresponding unstructured data depends on the database software developed by the corresponding unstructured data model
E continuous collection and storage of data by the relevant sensor networks of the IoT cause problems of data distribution and data management [1–3]. e relevant data of the IoT are mainly classified into structured data and unstructured data. e corresponding structured data mainly depend on open-source databases and other products, while the storage of the corresponding unstructured data depends on the database software developed by the corresponding unstructured data model
At the data storage level of the IoT, cloud storage technology, as the development direction of data storage, mainly processes and analyzes a large number of different types of data generated by the IoT through cluster application, network technology, and distributed storage technology and provides external data access and storage [4, 5]. e conventional cloud storage architecture includes the application interface layer, infrastructure layer, and storage layer. e corresponding application interface layer mainly includes network access, user authentication, permission management, public API interface, application software interface, and network service interface
Summary
A large number of researchers and scientific research institutions have studied and analyzed the data placement and load balancing problems faced by the load of terminal nodes of the IoT. At the level of corresponding load balancing algorithms, relevant Chinese researchers have proposed a scheme to realize load balancing distribution in a distributed environment This scheme does not consider the corresponding data copies, which may lead to multiple data copies appearing on the same data node after the relevant migration. Relevant European researchers have proposed a load balancing algorithm based on private cloud storage, which mainly realizes the balanced storage of data by calculating the weight corresponding to the storage node. 3. Research on Load Balancing Cloud Storage Data Distribution Strategy of Internet of Things Terminal Nodes considering Access Cost is section mainly analyzes and studies the corresponding key algorithms and system design of the IoT terminal node load balancing cloud storage data distribution system considering access cost. At the corresponding hardware system design level, it includes the distribution of IoT terminal nodes, IoT network element data management layer, IoT file service layer, and IoT data node control layer. ere is no data management layer in the corresponding system, including IoT user and equipment management, IoT user data node allocation, IoT monitoring data management equipment, and IoT migration data management. e corresponding IoT file service layer includes the upload and download of IoT data files, the upload and download of quantity network audio and video files, the deletion of IoT files and other related modules. e whole system includes monitoring system components
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