Stream Processing
- MillWheel: Fault-Tolerant Stream Processing at Internet Scale (Video)
- 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
- Models and Issues in Data Stream Systems
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
- Hyperloglog and MinHash
- 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
- Probabilistic Data Structures for Web Analytics and Data Mining
- Philippe Flajolet’s contribution to streaming algorithms
- Approximate Frequency Counts over Data Streams
- Methods for Finding Frequent Items in Data Streams
- The space complexity of approximating the frequency moments
- Cuckoo Filter: Practically Better Than Bloom
- Streaming/Sketching Conference from AK Tech
- Medians and Beyond: New Aggregation Techniques for Sensor Networks
- t-digest
- Count Min Sketch
- References for Data Stream Algorithms
- Data Streams - Algorithms and Applications
- Distributed Streams Algorithms for Sliding Windows
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