· 2012
Resilient distributed datasets: a fault-tolerant abstraction for in-memory cluster computing
- 3,577citations
- 2012year
Short summary
We introduce Resilient Distributed Datasets (RDDs), a new in-memory data abstraction designed for large-scale cluster computing that enables fault-tolerant, high-performance computations.
AI-generated from the title and abstract; the full text is not read.
TakeawaysIn the app
Key pointsIn the app
Ask the paperIn the app
The rest is in the Pofolia app
Takeaways, key points and questions to the paper; new summaries every day for your field. Free.
Sign in on the web to openField: Information Systems
Information SystemsComputer Science