Brocco, Amos and Galli, Vanni (2018) Poma. Technical Report UNSPECIFIED

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Real-time data processing frameworks are concerned with continuous flows of information which need to be processed as fast as possible. In order to cope with large amounts of data, parallel and distributed solutions are employed to partition the processing task and execute anal- ysis and transformation steps on multiple threads or on a multitude of computing devices. In this regard we introduce Poma, a lightweight framework for parallel and distributed processing using modular pipelines of composable modules, which provides both a development kit and a simple job management middleware for distributed operation.

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