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Lightweight Asynchronous Snapshots for Distributed Dataflows
[article]
2015
arXiv
pre-print
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
arXiv:1506.08603v1
fatcat:b7fidps35jg2hblp5eapccq4ee