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An adaptive complex event processing system over Storm

Prountzos Georgios

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Year 2017
Type of Item Diploma Work
Bibliographic Citation Georgios Prountzos, "An adaptive complex event processing system over Storm", Diploma Work, School of Electronic and Computer Engineering, Technical University of Crete, Chania, Greece, 2017
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Distributed complex event processing is a method of tracking, analyzing,processing and detecting specific events or patterns of events that may occurin event data streams from various distributed sources. Every node within anetwork does in-situ processing from its sources. This way of handling largesets of data whose sources may be geographically scattered, has a couple ofadvantages over centralizing the data into a single node and process themthere. The amount of information is potentially vast and limitations of theavailable bandwidth render this approach impractical. Thus, a distributedapproach is implemented for communication efficiency. Additionally, havinga single node do all the processing and synchronizations of the networkcreates a Single Point of Failure (SPOF) making the system unreliable whenreal-time processing is important.For these reasons, an architecture of an in situ complex event processingis developed using the Apache Storm primitives. The architecture detectspatterns of interest on incoming event data streams over a number of nodesin the network in real-time. The patterns, events and network agents arespecified from a user in a file and the system is designed to support multiplesuch queries as well as to adapt to any significant changes in the network.

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