Name
Abstract | ||
|---|---|---|
Users of distributed datastores that employ quorum-based replication are burdened with the choice of a suitable client-centric consistency setting for each storage operation. The above matching choice is difficult to reason about as it requires deliberating about the tradeoff between the latency and staleness, i.e., how stale (old) the result is. The latency and staleness for a given operation dep... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TBDATA.2017.2656121 | IEEE Transactions on Big Data |
Keywords | Field | DocType |
Big data,Throughput,Tuning,Predictive models,Runtime,Mathematical model | Data mining,Latency (engineering),Workload,Computer science,Service-level agreement,Throughput,Consistency model,Distributed database,Cross-validation,Decision tree learning,Distributed computing | Journal |
Volume | Issue | ISSN |
3 | 3 | 2332-7790 |
Citations | PageRank | References |
1 | 0.38 | 19 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Subhajit Sidhanta | 1 | 17 | 3.84 |
| Wojciech Golab | 2 | 210 | 17.22 |
| supratik mukhopadhyay | 3 | 267 | 39.44 |
| Saikat Basu | 4 | 85 | 7.05 |