Publications in Scientific Journals:

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

English abstract:
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.

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Created from the Publication Database of the Vienna University of Technology.