Several Adaptive Replica Synchronization Approaches for Distributed file System
This survey paper explained the different approaches of synchronization of replicas of files placed on distributed systems. The survey tells some older and latest techniques of synchronization. Some techniques are by the interference of metadata servers and some are without any intrusion of MDS. In former technique SS storage servers are used for synchronization among replicas. To maximize the performance, scalability and reliability CEPH is a distributed file system. It makes distinction between meta data and data management by object storage file system run on object file systems. Excellent I/O and metadata management is done on CEPH. Commodity servers and disks are used for multitier distributed systems. Performance reliability, I/O rate, workload in writes operations and less overhead in synchronization are the main focus while synchronization of replicas. Hadoop and Google file system are the distributive file systems. Hadoop ensures the better input and output performance with minimal synchronization in replicas, data intensive applications and provides fault tolerance. Some strategies are used for data intensive applications. Parallel file system is type of distributed file system. Analysis enforces the best performance on small and large input output requests. Pattern direct and layout replication technique is one of the most optimized techniques for parallel file system. Data access performance, reliability, data consistency, centralized synchronization, less workload, less overhead is the main focus of all the techniques. Some other file systems like SOFA and frangipani do focus on data consistency and reduce of bandwidth.
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