面向电视用户的日志采集和存储系统优化

Optimization of Log Collection and Storage System for Television Users

随着计算机技术的发展,电视机正在变得越来越智能。通过对用户使用电视机的日志进行分析,可以向用户推荐电视节目或广告,进而提高电视台的效益。针对电视日志数据量大的问题,对电视用户日志采集系统进行优化,通过在边端使用日志压缩和批量写入机制,以及在服务端使用数据库集群和负载均衡技术,节省边端的日志存储空间,提高服务端的数据吞吐量。

With the development of computer technology,televisions are becoming increasingly intelligent.By analyzing the logs of users using televisions,television programs or advertisements can be recommended to users,thereby increasing the benefit of the television station.In response to the problem of large amounts of television log data,this article optimizes the television user log collection system.By using log compression and batch writing mechanisms on the edge,as well as database clustering and load balancing technology on the server,it saves log storage space on the edge and improves data throughput on the server.