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Big data technologies have to process information in real-time (streaming processing).
A AsterixDB, S Spark + Cassandra Fig. 17 Communication in streaming processing experiments.
A scalable machine learning online service with the power of streaming processing for big data real-time analysis is introduced in [103].
Representative streaming processing systems include Borealis [98], S4 [99], Kafka [100], and many other recent architectures proposed to provide real-time analytics over big data [101, 102].
This approach helps maintain the behaviors of the software pipeline technology, which schedules iterative instructions to enhance the performance of streaming processing for VLIW architectures.
Other domains such as healthcare often produce disparate datasets that may require a mix of batch and streaming processing, in which case Flink, Oryx, or Spark would be the best choice.
Similar(51)
We organize related work in three categories: "Processing streams of data" overviews the main approaches and systems to process streams of dynamic data, "Modeling stream processing" presents contributions that target the modeling of stream processing systems, and "Windowing approaches" discusses some proposals for windowing approaches that go beyond those captured by SECRET.
In loading and stream processing tests, each test lasted for 200 s + 20 min.
Stream processing needs to process huge volume of data with strict deadline requirements.
The same process is impossible in data streams processing.
Stream processing systems are composed by distributed components, in which each component process a portion of the data stream.
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