Event Stream Processing

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Motivations

Traitement de flots continus (ie non borné dans le temps) de données (mesures, événements) en temps réel.

Applications:

réseaux de capteurs (IoT)
journaux système (détection de fraudes, ...)
finance (quotations boursières, ...)
réseaux sociaux (post)
...

Systèmes

Apache S4 (Yahoo!)
Apache Storm (Twitter)
Spark Streaming
MillWheel (Google)
Apache Samza (LinkedIn)
MUPD8 (Wallmart Labs)
Kafka Streams

Autres

Tutorial: Cloud-based Data Stream Processing, DEBS 2014, http://www.dis.uniroma1.it/~midlab/articoli/paper%2066.pdf

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