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Elastic stream processing in the Cloud
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DOI：10.1002/widm.1100.png)
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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-the-fly. 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. (C) 2013 Wiley Periodicals, Inc.
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