Shang Hong Technology Applies for Patent on "Cloud-Based Computer Network Information Service Management Method and System" to Improve Efficiency

Shang Hong Technology Applies for Patent on "Cloud-Based Computer Network Information Service Management Method and System" to Improve EfficiencyFinancial World, December 4, 2024 According to the State Intellectual Property Office of China, Shang Hong Technology (Shenzhen) Co., Ltd

Shang Hong Technology Applies for Patent on "Cloud-Based Computer Network Information Service Management Method and System" to Improve Efficiency

Financial World, December 4, 2024 According to the State Intellectual Property Office of China, Shang Hong Technology (Shenzhen) Co., Ltd. filed a patent application in August 2024 for a "Cloud-Based Computer Network Information Service Management Method and System," with publication number CN119065840A. This patent application aims to enhance the efficiency and response speed of computer network information services. Through ingenious system design and algorithms, it optimizes the scheduling of information service nodes to better meet user access needs.

The patent abstract details that the invention relates to the field of information retrieval, specifically a cloud-based computer network information service management method and system. Its core lies in the intelligent management of computer network information services through a series of steps. First, the system sets up information service nodes on the computer network, identifying and determining the location and function of each node. This step forms the foundation for the entire system, ensuring accurate information scheduling and resource allocation in subsequent steps.

Next, a crucial step involves mapping information service node access order to blockchain node data to obtain an access order blockchain. This design leverages the immutability and transparency of blockchain technology to provide a secure and reliable mechanism for recording and managing the access order of information services. Mapping the access order of information service nodes to blockchain node data effectively prevents data tampering and malicious attacks, ensuring fairness and stability of information services. The established access order blockchain provides a reliable basis for subsequent access scheduling, ensuring efficient resource allocation according to predefined rules.

Simultaneously, the system extracts user characteristics and constructs a feature matrix for each information service node. This feature matrix is then uploaded to the cloud platform to generate a cloud feature access matrix. This step involves in-depth analysis of user behavior, extracting key characteristics such as access habits and preferences, and transforming them into a feature matrix usable for system scheduling. By accurately capturing user characteristics, the system better understands user needs and allocates resources and provides services based on personalized needs. The use of the cloud platform provides a more secure and efficient way to store and manage data, facilitating real-time data analysis and processing.

Following these steps, the system generates an access scheduling instruction tree based on the information service nodes and the user access feature matrix. The access scheduling instruction tree determines an optimal access scheduling scheme based on user access requests, the availability of information service nodes, and the user feature matrix. This instruction tree acts as a precise roadmap, guiding the system on how to efficiently handle user access requests, respond to user needs quickly, and maximize resource utilization. By constructing the access scheduling instruction tree, the system effectively avoids resource conflicts and access bottlenecks, improving overall system efficiency.

Finally, upon receiving an access request, the system performs cloud platform service pre-scheduling based on the cloud feature access matrix and the user access request, yielding a cloud platform service pre-scheduling result. This step, the final stage of the system's operation, utilizes the pre-generated access scheduling instruction tree, real-time user access requests, and the cloud feature access matrix for real-time resource allocation and service scheduling. This ensures the system responds quickly to user access requests, providing an efficient and smooth service experience.

In summary, Shang Hong Technology's patent application cleverly combines cloud computing and blockchain technologies to propose a novel computer network information service management method and system. The system intelligently schedules and manages information service resources by setting information service nodes, recording access order on the blockchain, and extracting and analyzing user characteristics to generate an access scheduling instruction tree. This invention is expected to significantly improve the efficiency and response speed of computer network information services, providing users with a more efficient, convenient, and personalized information service experience. Its core lies in utilizing advanced technologies to solve resource conflicts and response delays in information services, ultimately improving user satisfaction and overall system efficiency. The efficient information retrieval through node setting and the generation of the access scheduling instruction tree showcases the significant potential of this patented technology in practical applications. Shang Hong Technology's patent application signifies its continued investment and breakthroughs in technological innovation in the information service field, deserving industry attention. The technology has wide-ranging application prospects and is expected to be widely used in various fields, contributing to the development of information technology. Furthermore, the mature application of this patented technology will drive the upgrading and development of related industries, enhancing overall competitiveness. This technological innovation will also have a profound impact on future information service models.