Accommodating bursts in distributed stream processing systems

Posted by / 13-Mar-2020 20:38

Accommodating bursts in distributed stream processing systems

Distributed Stream Processing frameworks are being commonly used with the evolution of Internet of Things(Io T).

In this article, we propose a model-driven approach for scheduling streaming applications that effectively utilizes a priori knowledge of the applications to provide predictable scheduling behavior.

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Stream processing systems have become important, as applications like media broadcasting, sensor network monitoring and on-line data analysis increasingly rely on realtime stream processing.

Stream processing systems have become important, as applications like media broadcasting, sensor network monitoring and on-line data analysis increasingly rely on real-time stream processing.

Our experimental results over our Synergy distributed stream processing system demonstrate the efficiency of our approach.

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The BOM stated that “in accordance with records management practices”, the field books for early 2013 at Canberra Airport were “disposed of” twelve months after the observations were taken.

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