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.

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Erstellt aus der Publikationsdatenbank der Technischen Universitšt Wien.