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Identifier 000440098
Title GPU-accelerated streaming analytics
Alternative Title Ανάλυση δεδομένων σε ροή μέσω κάρτας γραφικών
Author Λεβέντης, Χριστόφορος Σ.
Thesis advisor Πρατικάκης, Πολύβιος
Reviewer Ιωαννίδης, Σωτήριος
Τζίτζικας, Ιωάννης
Abstract Streaming analytics is the analysis of huge pools of “in-motion” data, known as streams. These streams are triggered by a specific event that happens as a direct result of an action or set of actions, like a financial transaction, a social post or a website click. Streamed data can originate from various sources such as Internet of Things (IoT) devices, bank transactions, mobile devices and sensors. By performing streaming analytics, enables the ability to work faster and stay ahead in competition. The above analysis helps organizations to process their data and extract valuable informations in order to stay agile and identify new opportunities. Therefore, this analysis leads to smarter business moves, more efficient operations, higher profits, happier customers and responsiveness. In this work, we present a GPU-based solution which can perform analysis on data in stream or at rest. This solution uses a sentiment-based lexicon and performs pattern matching operation over the data to extract valuable information such as sentiment score and frequent used words. This tool can also can track trends for both short and long term events by manually adjusting the desired time window intervals. Lastly, our evaluation applies the GPU-based component in a Quality of Service scenario where we examine the incoming call transcripts of different call centers and report various insights.
Language English
Subject Data analytics
Κατανεμημένη αναγνώριση προτύπων
Issue date 2021-07-30
Collection   School/Department--School of Sciences and Engineering--Department of Computer Science--Post-graduate theses
  Type of Work--Post-graduate theses
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