Design And Implementation Of Intelligent Cloud Storage Gateway System For Monitoring Domain

With the continuous development of the "Smart Internet of Things",cloud storage-related technologies have gradually penetrated into various monitoring areas,such as marine ecological monitoring systems,forest disaster monitoring systems,and security monitoring systems.In these monitoring areas,when facing the background of big data applications,there are common problems such as increasing pressure on data requests,a large variety of data terminal nodes,and vulnerability to information transmission.This complex scenario of Internet of Everything communication has brought system development in the monitoring field many challenges.In the context of the Internet of Things,data collection in the field of monitoring includes both structured and unstructured data.During the data collection process,the huge amount of data causes a serious data storage load.The emergence of cloud storage technology has brought new ideas to solve the above problems.However,with the expansion of cloud storage,the process of issuing and uploading large amounts of data has led to increased pressure,limited bandwidth,and reduced user access efficiency.Compared with local storage,cloud storage itself has a problem of high access latency,and the spread of data requests further increases the pressure on network bandwidth,resulting in increased latency.The cloud gateway system serves as an intermediate layer between the cloud and terminals.It effectively alleviates such problems through cache management to access data quickly.In addition,the cloud gateway needs to assist the data terminals to cooperate with each other over long distances,but the reliability and accuracy of data transmission cannot be guaranteed.Blockchain technology,as an emerging distributed storage technology,coincides with the regional management and distributed structure of the cloud gateway.Combining its data verification mechanism and trust characteristics,it ensures the automation of the communication between various terminals.The information cannot be tampered and can be traced,thereby improving the intelligence of the cloud gateway system.Based on the above problem analysis and research purposes,this article designs and builds an intelligent cloud storage gateway system for the monitoring field,forming a three-tier structure of cloud-edge(gateway-side)-data terminal,targeting different types of data terminals scenarios,to achieve the edge cache storage function and Blockchain data storage and management function.In the cloud,this article has completed a data retrieval module that connects the cloud and the edge side to provide cloud data to the edge side.On the edge side,in order to ensure data reliability and real-time retrieval,this article designs an efficient disaster recovery K-V database with distributed strategy.At the same time,the LRU replacement strategy is used to cache to improve the edge side request hit rate,reduce data access delays,and reduce pressure on cloud bandwidth.In order to ensure that cloud gateways assist terminals to achieve collaboration processes over long distance,and keep data un-tampered and traceable,the IOTA Blockchain,which is easy for light data transactions,is used to enable automatic data storage on the edge.In addition,ZeroMQ technology is used to complete the dynamic monitoring of IOTA and display part of the information to the front-end visualization page.In the data terminal,this article designs and implements a responsive web page to make data requests.In addition,the system utilize the neural network recognition technique to realize the intelligent collaboration application of information data transmission between terminal nodes,based on IOTA,improving the intelligence of the system in the context of the IoT.Finally,the system performs functional and performance tests on each part.The results show that the functions of this system can use the Blockchain technique to meet the data storage management and monitoring statistics.The terminal requests is about eight times more efficient than the non-cached system,which has system feasibility and good application prospects.