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Showing 1 to 4 of 4 for “"dataflow systems"”.

  1. Distributed dynamic partially stateful dataflow

    … implementation of Noria, a new streaming dataflow system that simplifies the infrastructure of read-heavy web applications by unifying the database, caching layer, and parts of application logic in a single system. Noria's partially-stateful dataflow allows it to evict and reconstruct …

    mit Repository record for Distributed dynamic partially stateful dataflow (opens in a new tab)

  2. Scalable fault tolerance for high-performance streaming dataflow

    Streaming dataflow systems offer an appealing alternative to classic MySQL / memcached web backend stacks. But websites must not go down, and current fault tolerance techniques for dataflow systems either come with long downtimes during recovery, or fail to scale to large deployments due to the …

    mit Repository record for Scalable fault tolerance for high-performance streaming dataflow (opens in a new tab)

  3. Towards Maintainable and Explainable AI Systems with Dataflow

    … Such real-life applications are complex software systems, in which the model is only one, albeit important, component. A significant effort is also spent on creating data collection and cleaning pipelines, quality assurance, model updating workflows, monitoring and operational maintenance of these …

    cambridge Repository record for Towards Maintainable and Explainable AI Systems with Dataflow (opens in a new tab)

  4. Flexible and efficient computation in large data centres

    Increasingly, online computer applications rely on large-scale data analyses to offer personalised and improved products. These large-scale analyses are performed on distributed data processing execution engines that run on thousands of networked machines housed within an individual data centre. …

    cambridge Repository record for Flexible and efficient computation in large data centres (opens in a new tab)