面向分布式数据库的自适应多级缓存机制分析

Adaptive Multilevel Caching Mechanism Analysis for Distributed Database

随着科技的迅速发展,大数据时代已到来,数据的使用不仅仅方便了人们的日常工作,还推动了社会的迅速发展。就目前而言,分布式数据库已建立并且得到了广泛的应用。但在其使用的过程中由于数据分散储存在不同的场地和数据节点,使得数据在使用和访问的过程中会导致节点间的不平衡,降低分布式数据库的整体性能,因而现阶段探寻新的分布式数据库缓存机制越来越重要。笔者以此为背景,从分布式数据库的系统概述出发,阐述了面向分布式数据库的自适应多级缓存机制的关键策略和实现算法,希望对分布式数据库的发展有一定的帮助。

With the rapid development of science and technology,the era of big data has come,the use of data not only facilitates people's daily work but also promotes the rapid development of society.For now,distributed databases have been established and widely used.But in the process of its use because of its scattered data is stored in different sites and data node,the data in the process of use and access will lead to imbalance between nodes,reducing the overall performance of the distributed database,and find new current distributed database caching mechanism more and more important.Based on this background,the author embarks from the overview of distributed database system,expounds the adaptive multistage cache mechanism for distributed database's key strategy and implementation algorithm,hope to have certain help to the development of distributed database.