Name
Abstract | ||
|---|---|---|
In recent years, distributed programming has become a topic of widespread interest among developers. However, writing reliable distributed programs remains stubbornly difficult. In addition to the inherent challenges of distribution---asynchrony, concurrency, and partial failure---many modern distributed systems operate at massive scale. Scalability concerns have in turn encouraged many developers to eschew strongly consistent distributed storage in favor of application-level consistency criteria [5, 10, 18], which has raised the degree of difficulty still further. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2391229.2391256 | SoCC |
Keywords | Field | DocType |
inherent challenge,widespread interest,partial failure,recent year,massive scale,application-level consistency criterion,scalability concern,distributed computing | Concurrency,Computer science,Distributed data store,Real-time computing,Distributed algorithm,Distributed computing,Scalability | Conference |
Citations | PageRank | References |
0 | 0.34 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peter Alvaro | 1 | 463 | 28.96 |
| Neil Conway | 2 | 458 | 21.46 |
| Joseph M. Hellerstein | 3 | 14093 | 1651.14 |