Research of Data Redundancy Policy Optimization Problem in Cloud Storage System
Hairong Zhang · Journal of Jilin University · 2013
For the lack of existing redundancy strategy and the improved ones in cloud storage system,a adaptive data redundancy strategy RIRS(Replication Improved Reed-Solomon) is proposed,which combined full backup with improved RS(Reed-Solomon) erasure codes.The policy can adjust parameters according to the specific application environment to optimize system performance.When it degenerated into pure full backup method,proposed a dynamic replica management optimization model DRMO(Dynamic Replication Management Optimized) to improve it.The analysis showed that the strategy can meet the requirements of data validation,save storage space,achieve load balancing and improve the recoverability of the system at the same time.