基于 Redis 的水务云系统缓存替换策略设计

Design of cache replacement policy for water cloud system based on Redis

摘要:

水务云系统在海量数据高并发访问情况下存在 Web 服务性能急剧降低的问题，对此，设计一种基于 Redis 的水务云系统数据库缓存方案，对影响数据库缓存效率的关键因素进行分析、提取和量化计算，将水务数据类型、用户对数据对象的兴趣度及用户访问行为等因素与缓存数据替换过程结合，对现有 GDSF 缓存替换算法加以改进，并结合实际的水务云系统数据集实现该缓存方案和仿真实验。实验结果表明，基于 Redis 的水务云系统数据库缓存方案可以有效改善水务云系统的服务性能，也可为类似水利数据管理平台建设提供有益的借鉴。

Abstract:

The performance of Web services in water cloud system is greatly reduced under the condition of high concurrent access of massive data. In this regard, a Redis-based database caching scheme for water cloud system is designed, in which some key factors that affect the efficiency of database caching are analyzed, extracted and quantifified. By combining the data types，user's interest towards data objects and user access behavior with the cache data replacement process, the existing GDSF cache replacement algorithm is improved. Then the Redis-based database caching scheme for water cloud system is simulated and the experimental results show that the scheme can effectively improve the service performance of the water cloud system. As a result, it can also provide useful reference for the construction of similar water conservancy data management platform.