Abstract

Introduction

The Proposed Methodology

The Simulation

Conclusion

References

Abstract

     This paper conducts the development of the key technologies of the legal case management information system considering QoS optimization. The designed system administrator can carry out that the all-round management of the system, including account management, database management, security setting management, core data entry management, and data statistics management. With this help, the QoS optimization model is then integrated to improve the systematic performance of the system as the key technology. Similar to the layering in the data source, the data set is composed of the fields of the data set, and contains the relevant information of the attribute fields of various entity element categories. Furthermore, the designed system is analyzed and implemented on the public data sets to show the results.

Introduction

     The development of the system is inseparable from the support of the back-end database. Database design plays a very important role in system development [1, 2, 3, 4]. SQL Server is a relational database management system developed.

It has the advantages of integration with the Internet, scalability and availability, enterprise-level database functions, easy installation, deployment and use, etc. It also has XML support, user-defined functions and the new data types, index views, sorting rules, index enhancements, and the distribution Query, backup and restore features. System management, data backup, and the system security, are effectively guaranteed thereby realizing distributed storage and also then centralized management of spatial data. It can meet the needs of largescale spatial database application system construction [5, 6].

Conclusion

     This paper conduct development of the key technologies of the legal case management information system considering the QoS optimization. The system administrator can carry out that the all-round management of the system, including the account management, database management, general security setting management, core data entry management, and data statistics management. The designed methodology combines the novel structure of the data to process the general information and the experimental results have provided the solutions. In the future study, some novel application methods may be considered