Unordered Data
The problem of synchronizing unordered data (also known as the set reconciliation problem) is modeled as an attempt to compute the symmetric difference between two remote sets and of b-bit numbers. Some solutions to this problem are typified by:
- Wholesale transfer
- In this case all data is transferred to one host for a local comparison.
- Timestamp synchronization
- In this case all changes to the data are marked with timestamps. Synchronization proceeds by transferring all data with a timestamp later than the previous synchronization.
- Mathematical synchronization
- In this case data are treated as mathematical objects and synchronization corresponds to a mathematical process.
Read more about this topic: Data Synchronization, Theoretical Models
Famous quotes containing the word data:
“Mental health data from the 1950’s on middle-aged women showed them to be a particularly distressed group, vulnerable to depression and feelings of uselessness. This isn’t surprising. If society tells you that your main role is to be attractive to men and you are getting crow’s feet, and to be a mother to children and yours are leaving home, no wonder you are distressed.”
—Grace Baruch (20th century)