Name
Abstract | ||
|---|---|---|
Distributed consistency is perhaps the most-discussed topic in distributed systems today. Coordination protocols can ensure consistency, but in practice they cause undesirable performance unless used judiciously. Scalable distributed architectures avoid coordination whenever possible, but under-coordinated systems can exhibit behavioral anomalies under fault, which are often extremely difficult to debug. This raises significant challenges for distributed system architects and developers.
In this article, we present Blazes, a cross-platform program analysis framework that (a) identifies program locations that require coordination to ensure consistent executions, and (b) automatically synthesizes application-specific coordination code that can significantly outperform general-purpose techniques. We present two case studies, one using annotated programs in the Twitter Storm system and another using the Bloom declarative language.
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Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3110214 | ACM Trans. Database Syst. |
Keywords | Field | DocType |
Consistency via Coordination | Computer science,Program analysis,Declarative programming,Scalable distributed,Database,Debugging,Distributed computing | Journal |
Volume | Issue | ISSN |
42 | 4 | 0362-5915 |
Citations | PageRank | References |
2 | 0.35 | 35 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peter Alvaro | 1 | 463 | 28.96 |
| Neil Conway | 2 | 458 | 21.46 |
| Joseph M. Hellerstein | 3 | 14093 | 1651.14 |
| David Maier | 4 | 5639 | 1666.90 |