Lightweight Asynchronous Snapshots for Distributed Dataflows

Abstract

Distributed stateful stream processing enables the deployment and execution of large scale continuous computations in the cloud, targeting both low latency and high throughput. One of the most fundamental challenges of this paradigm is providing processing guarantees under potential failures. Existing approaches rely on periodic global state snapshots that… (More)

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Citation Velocity: 26

Averaging 26 citations per year over the last 3 years.

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