INFORMATION MANAGEMENT USING COMPUTER WIRELESS NETWORK DATABASE TECHNOLOGIES

  • Unique Paper ID: 174894
  • Volume: 7
  • Issue: 9
  • PageNo: 384-392
  • Abstract:
  • This article addresses the use of computer wireless network database technology in information management with the goal of increasing upload rate and query efficiency in order to address the issue of poor information management efficiency. The orderly adjustment and modification of internal big data is carried out through standardized database technical operations, such as unified addition, deletion, query, and introduction. This ensures that information transmission can be accurately reflected in the network structure to improve the quality of the system operation. The information management system is thoroughly assessed in this study using a fuzzy clustering method. Through trials, it thoroughly examines how database technology significantly improves user experience and increases system flexibility. In terms of data collection, upload efficiency, task management, query statistics, data monitoring, buffering effect, data encryption, access control, resource utilization, bandwidth utilization, data storage efficiency, scalability, reliability, disaster recovery capability, user experience, and system adaptability, the experimental results demonstrate that the new system outperforms the conventional information management system. In particular, the new system has an average response time of less than 2.5 seconds, a data upload rate of 146 Mbps, a user login success rate and authentication accuracy rate that are nearly 100%, high resource and network bandwidth utilization at various times, and an improvement of 0.21 in data storage efficiency. Database technology helps to increase the system's scalability by 0.29. These findings demonstrate how computer wireless network database technology may greatly increase information management's effectiveness and security while meeting the demands of high-volume, high-speed businesses like e-commerce, healthcare, and finance.

Cite This Article

  • ISSN: 2349-6002
  • Volume: 7
  • Issue: 9
  • PageNo: 384-392

INFORMATION MANAGEMENT USING COMPUTER WIRELESS NETWORK DATABASE TECHNOLOGIES

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