Index
- Dryad: Distributed Data-Parallel Programs from Sequential Building Blocks - Isard et al., EuroSys '07 [Summary]
- Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing(Spark) - Zaharia et al., NSDI '12 [Summary]
- Discretized Streams: Fault-Tolerant Streaming Computation at Scale - Zaharia et al., SOSP '13 [Summary]
- The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale - Akidau et al., VLDB '15 [Summary]
- Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center - Hindman et al., NSDI '11 [Summary]
- Delay Scheduling: A Simple Technique for Achieving Locality and Fairness in Cluster Scheduling - Zaharia et al., EuroSys '10 [Summary]
- Monotasks: Architecting for Performance Clarity in Data Analytics Frameworks - Ousterhout et al., SOSP '17 [Summary]
- Tachyon: Reliable, Memory Speed Storage for Cluster Computing Frameworks - Li et al., SoCC '14 [Summary]
- EC-Cache: Load-balanced, Low-latency Cluster Caching with Online Erasure Coding - Rashmi et al., OSDI '16
- Reining in the Outliers in Map-Reduce Clusters using Mantri - Ananthanarayanan et al., OSDI '10 [Summary]
- Interruptible Tasks: Treating Memory Pressure AsInterrupts for Highly Scalable Data-Parallel Program - Fang et al., SOSP '15 [Summary]