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)
http://dx.doi.org/10.1002/widm.1100
Created from the Publication Database of the Vienna University of Technology.