Dynamic Consistency Adjustment Mechanism of Distributed Cloud Data Storage Based on Hotspot

Abstract

In order to solve the problems of the dynamic consistency of data replications and the dynamic management of hotspot data, a consistency adjustment mechanism for high frequency access data based on Hotspot is proposed. The hotspot buffer is built to improve the data access speed. The request minimum success rate, the resource access rate, online resource access frequent and accessible data rate are used to adjust the data in hotspot buffer dynamically. The storage location of data replication is changed dynamically by data access traffic. The result shows that, compared with static replication management, the data access time is reduced significantly, especially when the data scale is large, and the average time is shortened by about 18%.