读写频繁云存储网络应用的数据备份方法

文章根据读写频繁的云存储网络应用的数据存储特点,提出了一种新的数据备份方法,旨在最优化地利用已有的系统资源,为用户提供更好的用户体验。文章中的数据备份方法包括基于数据节点废弃度计算与用户访问预测的副本创建机制和基于存储平衡预测算法与副本健康度计算的负载调整机制。文章的数据备份方法与现有技术相比针对日益流行的社交类云存储网络应用进行了优化,将多种数据参数加权计算作为衡量数据节点优劣和副本文件价值的标准,在保证用户使用体验的前提下使各数据节点达到负载的均衡,并且避免了云服务器端将有限的计算资源浪费在频繁的副本调整过程中。

A Data Backup Method of Frequent Reading and Writing Networking Applications at Cloud Storage

Based on the reading and writing frequently cloud storage data storage characteristics of network applications, this paper propose a new method of data backup designed to optimize the use of the available system resources to provide users with a better user experience. The data backup method including duplicates creation mechanism （including waste degree calculation based on data nodes and user access prediction） and duplicates adjust mechanism （including prediction algorithm based on the storage balance and the calculation of health degree of data nodes）. Comparing with the exciting technology, this method of data backup is optimized for the cloud storage networking applications of increasingly popular social class. The method＇s measure standard of data nodes and duplicates is based on the calculation of weighted varieties of data. The method ensures the user experience under the premise of data node balance and avoids the waste of the limited computing resources on the frequent duplicates adjustment process at server end.