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High throughput “on-the-fly” stream data processing on hybrid FPGA-basedplatform

Rousopoulos Christos

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Extent90 pagesen
TitleHigh throughput “on-the-fly” stream data processing on hybrid FPGA-based platformen
TitleΥψηλής απόδοσης επεξεργασία ροών δεδομένων με χρήση υβριδικής πλατφόρμας βασισμένη σε αναδιατασσόμενη λογικήel
CreatorRousopoulos Christosen
CreatorΡουσοπουλος Χρηστοςel
Contributor [Thesis Supervisor]Dollas Apostolosen
Contributor [Thesis Supervisor]Δολλας Αποστολοςel
Contributor [Committee Member]Pnevmatikatos Dionysiosen
Contributor [Committee Member]Πνευματικατος Διονυσιοςel
Contributor [Committee Member]Papaefstathiou Ioannisen
Contributor [Committee Member]Παπαευσταθιου Ιωαννηςel
PublisherΠολυτεχνείο Κρήτηςel
PublisherTechnical University of Creteen
Academic UnitTechnical University of Crete::School of Electrical and Computer Engineeringen
Academic UnitΠολυτεχνείο Κρήτης::Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστώνel
Content SummaryWith the dawn of social networks and the growth of the Internet of Things market, huge volumes of data are generated every second in various fields, such as banking, agriculture, finance, health care, bioinformatics etc. This data congestion drives the need for systems that offer real-time fast processing of this high-volume and velocity data, while looking for low-cost and power efficient solutions. The stream join is a fundamental and computationally expensive operation for relating information from different data streams, usually applied over a specific time-based window due to the unbounded size of the data streams. This thesis presents an innovative high performance FPGA-based system for accelerating stream join processing. The implemented system achieves at least one order of magnitude better processing throughput in comparison to other state-of-the-art software-based solutions and totally outperforms all lately proposed hardware-based solutions. Finally, the proposed hardware- based architecture is fully configurable and can be used as generic template for mapping stream processing algorithms on reconfigurable logic, taking into consideration real-world challenges and restrictions. en
Type of ItemΜεταπτυχιακή Διατριβήel
Type of ItemMaster Thesisen
Date of Item2017-07-18-
Date of Publication2017-
SubjectStream processingen
SubjectStream joinen
Bibliographic CitationChristos Rousopoulos, "High throughput “on-the-fly” stream data processing on hybrid FPGA-based platform", Master Thesis, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2017en
Bibliographic CitationΧρήστος Ρουσόπουλος, "Υψηλής απόδοσης επεξεργασία ροών δεδομένων με χρήση υβριδικής πλατφόρμας βασισμένη σε αναδιατασσόμενη λογική", Μεταπτυχιακή Διατριβή, Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2017el

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