Difference between revisions of "Distributed Consistency"
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* THe first important way to avoid coordination is to change the architecture. If traffic is slow at in intersection, just build an overpass for one path and the problem goes away. | * THe first important way to avoid coordination is to change the architecture. If traffic is slow at in intersection, just build an overpass for one path and the problem goes away. | ||
| − | * CALM<ref>Joseph Hellerstein and Peter Alvaro, ''Keeping CALM: When Distributed Consistency is Easy'' (2020-09) '''CACM 63''' no 3 pp. 72ff</ref> | + | * CALM<ref>Joseph Hellerstein and Peter Alvaro, ''Keeping CALM: When Distributed Consistency is Easy'' (2020-09) '''CACM 63''' no 3 pp. 72ff</ref> = Consistency As Logical Monotonicity is proven to the same as monotonicity. |
* Google Spanner transactional database | * Google Spanner transactional database | ||
Revision as of 16:23, 8 September 2020
Full Title or Meme
Distributed Consistency in Identity Management is required when more than one process might be assigning identifiers that are required to be unique.
Context
- Decentralized Consistency is an easier problem when each Registration Authority is given control of a portion of a name space where it can control registration.
- With the advent of fully distributed systems where any one machine could desire the ability to create an identifier, this problem needs a practical resolution.
Problems
- Coordination is tricky to implements and expensive in terms of latency added.
Solutions
- THe first important way to avoid coordination is to change the architecture. If traffic is slow at in intersection, just build an overpass for one path and the problem goes away.
- CALM[1] = Consistency As Logical Monotonicity is proven to the same as monotonicity.
- Google Spanner transactional database
References
- ↑ Joseph Hellerstein and Peter Alvaro, Keeping CALM: When Distributed Consistency is Easy (2020-09) CACM 63 no 3 pp. 72ff
