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Data synchronization is the process of establishing consistency between source and target data stores, and the continuous harmonization of the data over time. It is fundamental to a wide variety of applications, including file synchronization and mobile device synchronization.
Replication is one of the oldest and most important topics in the overall area of distributed systems. Data replication and computation replication both require processes to handle incoming events. Processes for data replication are passive and operate only to maintain the stored data, reply to read requests and apply updates.
Bet365 stores hundreds of megabytes of data in the Riak implementation of OR-Set. [31] TomTom employs CRDTs to synchronize navigation data between the devices of a user. [32] Phoenix, a web framework written in Elixir, uses CRDTs to support real-time multi-node information sharing in version 1.2. [33]
Some researchers have made a functional and experimental analysis of several distributed file systems including HDFS, Ceph, Gluster, Lustre and old (1.6.x) version of MooseFS, although this document is from 2013 and a lot of information are outdated (e.g. MooseFS had no HA for Metadata Server at that time).
Eventual consistency, also called optimistic replication, [2] is widely deployed in distributed systems and has origins in early mobile computing projects. [3] A system that has achieved eventual consistency is often said to have converged , or achieved replica convergence . [ 4 ]
Multi-master replication can be contrasted with primary-replica replication, in which a single member of the group is designated as the "master" for a given piece of data and is the only node allowed to modify that data item. Other members wishing to modify the data item must first contact the master node.
With the fast technological development of computing the difference between local and distributed computing over low latency networks or buses is blurring. Thus the quite effective utilization of local techniques in such distributed environments is common, e.g., in computer clusters and multi-core processors. However the local techniques have ...
Most synchronizing programs can be used in this way, but providing specific support for this can reduce the amount of data stored on a device. The ability to preview any changes before they are made. The ability to view differences in individual files. Backup between operating systems and transfer between network computers. [3]