THIS IS A TEST INSTANCE. ALL YOUR CHANGES WILL BE LOST!!!!
Stream Processing
- MillWheel: Fault-Tolerant Stream Processing at Internet Scale
- Photon: Fault-tolerant and Scalable Joining of Continuous Data Streams
- Scalable Distributed Stream Processing
- Distributed Operation in the Borealis Stream Processing Engine
- STREAM: The Stanford Data Stream Management System
- Fault-tolerance and high availability in data stream management systems
- Highly Available, Fault-Tolerant, Parallel Dataflows
- MapReduce Online
- Discretized Streams: Fault-Tolerant Streaming Computation at Scale
- Towards a Streaming SQL Standard
- Semantics and Implementation of Continuous Sliding Window Queries over Data Streams
- S-Store: A Streaming NewSQL System for Big Velocity Applications
- The 8 Requirements of Real-Time Stream Processing
- Models and Issues in Data Stream Systems
- S4: Distributed Stream Computing Platform
- Muppet: MapReduce-Style Processing of Fast Data
Streaming Algorithms
- HyperLogLog: the analysis of a near-optimal cardinality estimation algorithm
- HyperLogLog in Practice: Algorithmic Engineering of a State of The Art Cardinality Estimation Algorithm
- Data Streams as Random Permutations: the Distinct Element Problem
- Approximately Detecting Duplicates for Streaming Data using Stable Bloom Filters
- An Improved Data Stream Summary: The Count-Min Sketch and its Applications
- Fast Incremental Maintenance of Approximate Histograms
- Effective Computation of Biased Quantiles over Data Streams
- Dynamic Histograms: Capturing Evolving Data Sets
- Incremental calculation of weighted mean and variance
- A curated collection of papers on streaming algorithms