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Zeitschriftenartikel:

W. Hummer, B. Satzger, S. Dustdar:
"Elastic stream processing in the Cloud";
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery (eingeladen), Voume 3 (2013), Issue 5; S. 333 - 345.



Kurzfassung englisch:
Stream processing is a computing paradigm that has emerged from the necessity of handling high volumes of data in real time. In contrast to traditional databases, stream-processing systems perform continuous queries and handle data on-thefly. Today, a wide range of application areas relies on efficient pattern detection and queries over streams. The advent of Cloud computing fosters the development
of elastic stream-processing platforms, which are able to dynamically adapt based on different cost-benefit trade-offs. This article provides an overview of the historical evolution and the key concepts of stream processing, with special focus on adaptivity and Cloud-based elasticity.


"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.1002/widm.1100


Erstellt aus der Publikationsdatenbank der Technischen Universitšt Wien.