Benchmarking Eventually Consistent Distributed Storage Systems
Cloud storage services and NoSQL systems typically offer only ""Eventual Consistency"", a rather weak guarantee covering a broad range of potential data consistency behavior. The degree of actual (in-)consistency, however, is unknown. This work presents novel solutions for determining the degree of...
Uloženo v:
| Hlavní autor: | |
|---|---|
| Médium: | Online |
| Jazyk: | angličtina |
| Vydáno: |
KIT Scientific Publishing
2021
|
| Témata: | |
| On-line přístup: | 34555 |
| Tagy: |
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Shrnutí: | Cloud storage services and NoSQL systems typically offer only ""Eventual Consistency"", a rather weak guarantee covering a broad range of potential data consistency behavior. The degree of actual (in-)consistency, however, is unknown. This work presents novel solutions for determining the degree of (in-)consistency via simulation and benchmarking, as well as the necessary means to resolve inconsistencies leveraging this information. |
|---|