Large-scale learning from data streams with apache samoa
… It features a pluggable architecture that allows it to run on several distributed stream
processing engines such as Apache Flink, Apache Storm, and Apache Samza. Apache SAMOA is …
processing engines such as Apache Flink, Apache Storm, and Apache Samza. Apache SAMOA is …
Big data stream learning with SAMOA
A Bifet, GDF Morales - 2014 IEEE International Conference on …, 2014 - ieeexplore.ieee.org
… stream processing engines such as Storm, S4, and Samza. SAMOA is written in Java and
is available at https://samoa-project.net under the Apache Software License version 2.0. …
is available at https://samoa-project.net under the Apache Software License version 2.0. …
[PDF][PDF] SAMOA: scalable advanced massive online analysis.
GDF Morales, A Bifet - J. Mach. Learn. Res., 2015 - jmlr.org
… engines such as Storm, S4, and Samza. samoa is written in Java, is open source, and is
available at https://samoa-project.net under the Apache Software License version 2.0. Keywords: …
available at https://samoa-project.net under the Apache Software License version 2.0. Keywords: …
[PDF][PDF] Survey of distributed stream processing for large stream sources
… The upstream backup recovery method works only for task level failures in Samza. If a
broker node fails, Samza loses messages persisted in the file system and these cannot be …
broker node fails, Samza loses messages persisted in the file system and these cannot be …
Cloud computing platform based real-time processing for stream reasoning
HS Jung, CS Yoon, YW Lee, JW Park… - … Conference on Future …, 2017 - ieeexplore.ieee.org
… We use Apache Kafka, a message processing system, and Apache Storm, a real-time
distributed processing system, to overcome the constraints associated with real-time processing. …
distributed processing system, to overcome the constraints associated with real-time processing. …
[PDF][PDF] Data Centric Systems and Networking
M Schaarschmidt - cl.cam.ac.uk
… Apache Samza [23] provides very similar functionality to Storm. Samza has a topological model
… An interesting feature of Samza is its approach to state management: Samza tasks come …
… An interesting feature of Samza is its approach to state management: Samza tasks come …
A taxonomy and survey of stream processing systems
… For example, Apache Samza has provided a pluggable API to enable the users to integrate
… , S4, Spark Streaming, and Samza provide scalable systems that allow the enlargement of …
… , S4, Spark Streaming, and Samza provide scalable systems that allow the enlargement of …
A survey of data stream processing tools
… Another stream-based application from Apache [1] aims at performing computation over
data streams by combining Apache Kafka’s messaging and Apache Hadoop NextGen …
data streams by combining Apache Kafka’s messaging and Apache Hadoop NextGen …
[PDF][PDF] Liquid: Unifying Nearline and Offline Big Data Integration.
RC Fernandez, PR Pietzuch, J Kreps, N Narkhede… - CIDR, 2015 - lsds.doc.ic.ac.uk
… The processing layer is implemented using Apache Samza [30], a distributed stream
processing framework that follows a stateful processing paradigm [3, 4]. It executes ETL-like jobs …
processing framework that follows a stateful processing paradigm [3, 4]. It executes ETL-like jobs …
[PDF][PDF] Hailstorm: Distributed Stream Processing with Exactly Once Semantics
… Unlike Storm and Samza, Hailstorm mandates that all streaming computations must be both
… Like Samza, it requires that all events must be initially stored as messages in Apache Kafka […
… Like Samza, it requires that all events must be initially stored as messages in Apache Kafka […