J
Jan Kořenek
Researcher at Brno University of Technology
Publications - 10
Citations - 74
Jan Kořenek is an academic researcher from Brno University of Technology. The author has contributed to research in topics: Network packet & Throughput (business). The author has an hindex of 4, co-authored 10 publications receiving 49 citations.
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Proceedings ArticleDOI
Enabling Event-Triggered Data Plane Monitoring
TL;DR: This work proposes a push-based approach to network monitoring that allows the detection, within the dataplane, of traffic aggregates, and reduces controller-dataplane communication overheads by up to two orders of magnitude with respect to state-of-the-art solutions.
Proceedings ArticleDOI
Configurable FPGA Packet Parser for Terabit Networks with Guaranteed Wire-Speed Throughput
TL;DR: A parser architecture which is capable to currently scale up to a terabit throughput in a single FPGA, while the overall processing speed is sustained even on the shortest frame lengths and for an arbitrary number of supported protocols.
Book ChapterDOI
Intrinsic evolution of sorting networks: a novel complete hardware implementation for FPGAs
Jan Kořenek,Lukas Sekanina +1 more
TL;DR: A specialized architecture was developed and evaluated to evolve relatively large sorting networks in an ordinary FPGA and the evolution of the largest sorting networks requires 10 hours in FPGa running at 100 MHz.
Journal ArticleDOI
General memory efficient packet matching FPGA architecture for future high-speed networks
TL;DR: A unique parallel hardware architecture for hash-based exact match classification of multiple packets in each clock cycle that offers a reduction of memory replication requirements and is able to maintain a rather high throughput of matching multiple packets per clock cycle even without fully replicated memory resources in matching tables.
Proceedings ArticleDOI
Memory optimization for packet classification algorithms
TL;DR: Novel method is proposed how to reduce data structure size for the family of packet classification algorithms at the cost of additional pipelined processing with only small amount of logic resources to significantly decreases overhead given by the crossproduct nature of classification rules.