Institutional Repository
Technical University of Crete
Technical University of Crete
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/A4E41FAF-038A-46B7-A7C1-0639898AE859 | - |
| Identifier | https://doi.org/10.26233/heallink.tuc.68904 | - |
| Language | en | - |
| Extent | 90 pages | en |
| Title | High throughput “on-the-fly” stream data processing on hybrid FPGA-based platform | en |
| Title | Υψηλής απόδοσης επεξεργασία ροών δεδομένων με χρήση υβριδικής πλατφόρμας βασισμένη σε αναδιατασσόμενη λογική | el |
| Creator | Rousopoulos Christos | en |
| Creator | Ρουσοπουλος Χρηστος | el |
| Contributor [Thesis Supervisor] | Dollas Apostolos | en |
| Contributor [Thesis Supervisor] | Δολλας Αποστολος | el |
| Contributor [Committee Member] | Pnevmatikatos Dionysios | en |
| Contributor [Committee Member] | Πνευματικατος Διονυσιος | el |
| Contributor [Committee Member] | Papaefstathiou Ioannis | en |
| Contributor [Committee Member] | Παπαευσταθιου Ιωαννης | el |
| Publisher | Πολυτεχνείο Κρήτης | el |
| Publisher | Technical University of Crete | en |
| Academic Unit | Technical University of Crete::School of Electrical and Computer Engineering | en |
| Academic Unit | Πολυτεχνείο Κρήτης::Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών | el |
| Content Summary | With 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 Item | Μεταπτυχιακή Διατριβή | el |
| Type of Item | Master Thesis | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2017-07-18 | - |
| Date of Publication | 2017 | - |
| Subject | FPGA | en |
| Subject | Stream processing | en |
| Subject | Stream join | en |
| Subject | Micron-Convey | en |
| Bibliographic Citation | Christos 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, 2017 | en |
| Bibliographic Citation | Χρήστος 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, 2017 | el |
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