Name
Title | ||
|---|---|---|
Brief Announcement: A Probabilistic Performance Model and Tuning Framework for Eventually Consistent Distributed Storage Systems. |
Abstract | ||
|---|---|---|
Replication protocols in distributed storage systems are fundamentally constrained by the finite propagation speed of information, which necessitates trade-offs among performance metrics even in the absence of failures. We make two contributions toward a clearer understanding of such trade-offs. First, we introduce a probabilistic model of eventual consistency that captures precisely the relationship between the workload, the network latency, and the consistency observed by clients. Second, we propose a technique for adaptive tuning of the consistency-latency trade-off that is based partly on measurement and partly on mathematical modeling. Experiments demonstrate that our probabilistic model predicts the behavior of a practical storage system accurately for low levels of throughput, and that our tuning framework provides superior convergence compared to a state-of-the-art solution. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3087801.3087850 | PODC |
Keywords | Field | DocType |
Distributed storage, data consistency, performance modeling. | Convergence (routing),Eventual consistency,Computer science,Distributed data store,Theoretical computer science,Statistical model,Throughput,Probabilistic logic,Consistency model,Data consistency,Distributed computing | Conference |
Citations | PageRank | References |
1 | 0.37 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shankha Chatterjee | 1 | 1 | 0.71 |
| Wojciech Golab | 2 | 210 | 17.22 |