基于数据中台的云储存中数据可用性关键技术

Key technologies of data availability in cloud storage based on data center

针对目前使用的云储存中数据可用性方法,无法保证数据不具有重复性而导致时间开销长的问题,提出了基于数据中台的云储存中数据可用性关键技术。基于数据中台结构,构建数据安全删除模型,控制重复数据安全删除的时间开销,确保重复数据被安全删除。分别计算数据在云储存和数据中台中的可用性,获取云储存数据在数据中台中的冗余度,确定基于数据中台的数据在云储存中分布阈值。将阈值发送给租约节点,并传输至中心存储服务器,更新租约中的相应内容,完成基于数据中台的数据可用性维护。由仿真测试可知,该技术去重数据时间开销、静态存储时间开销均小于实际时间开销,云储存中的数据具有可用性。

Aiming at the problem that the current data availability methods in cloud storage can not guarantee the non repeatability of data,resulting in long time overhead,a key technology of data availability in cloud storage based on data center is proposed.Based on the data middle platform structure,a data security deletion model is constructed to control the time cost of data security deletion and ensure that duplicate data is safely deleted.Calculate the availability of data in cloud storage and data middle station respectively,obtain the redundancy of cloud storage data in data middle station,and determine the distribution threshold of data based on data middle station in cloud storage.The threshold is sent to the lease node and transmitted to the central storage server to update the corresponding contents in the lease and complete the data availability maintenance based on the data center.The simulation test shows that the time cost of de duplication data and static storage is less than the actual time cost,and the data in cloud storage is available.