Elastic stream processing in the Cloud

Waldemar Hummer, Benjamin Satzger, Schahram Dustdar
<span title="2013-08-12">2013</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/agmngghlr5hyrpto64zks3fhry" style="color: black;">Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery</a> </i> &nbsp;
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
more &raquo; ... t-benefit tradeoffs. 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.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/widm.1100">doi:10.1002/widm.1100</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/o67z4wzq75cbboef2ex5a7lmma">fatcat:o67z4wzq75cbboef2ex5a7lmma</a> </span>
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