Open AccessArchitecture Design of Teenager Mental Health Evaluation System Based on High Concurrency and High Availability
Author(s) -
Yongxiong Zhang,
Xiangzheng Huang,
Liangming Wang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1631/1/012166
Subject(s) - computer science , concurrency , distributed computing , swarm behaviour , scheduling (production processes) , software deployment , architecture , concurrency control , container (type theory) , algorithm , operating system , artificial intelligence , database , database transaction , mathematical optimization , engineering , mathematics , mechanical engineering , art , visual arts
In order to solve the problem of high concurrency and stability of real-time collection and analysis of teenager mental health data, this paper proposes a high concurrency and high availability system architecture based on Docker container, choreography and deployment technology and artificial fish swarm algorithm. To solve the problem of low efficiency of Kubernetes default scheduling algorithm, this paper designs a parallel scheduling algorithm using artificial fish swarm algorithm. The experimental results show that the parallel scheduling algorithm is effective. For the complexity of container redundant operation, this paper designs a microservice rank scheme. Combined with AFS-FCM algorithm, the microservice rank of the system platform is determined, so that the redundant equipment can be automatically optimized for high availability.