A hybrid redundancy
method is proposed in , which combines information and hardware redundancy to achieve better fault tolerance.
The primary literature through hybrid redundancy
to achieve cloud storage tolerance are: Fan et al  found that most of the data access operations on the data after the creation of a short period of time and in HDFS, life cycles over a certain period of files via a one process writes data of erasure codes block, replication data block transformation for erasure coded data block to save storage space, and testing the relationship between the time delay and the performance loss.
The platform can be enhanced with optional functions, such as encryption, monitoring, and innovative redundancy solutions (including hybrid redundancy
and R&S CrossFlowIP).
Topics include efficient distribution of virtual machines for cloud computing, the scalability of GPU-based convolution neural networks, information supply patterns for collaborative engineering, and a persistent data storage architecture based on hybrid redundancy