Lightweight Asynchronous Snapshots for Distributed Dataflows

  title={Lightweight Asynchronous Snapshots for Distributed Dataflows},
  author={Paris Carbone and Gyula F{\'o}ra and Stephan Ewen and Seif Haridi and Kostas Tzoumas},
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 can be used for failure recovery. Those approaches suffer from two main drawbacks. First, they often stall the overall computation which… CONTINUE READING
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Building fast, distributed programs with partitioned tables

  • R. Power, J. Li. Piccolo
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