TY - CHAP AU - Varga, Pál AU - László, Kovács AU - Tóthfalusi, Tamás AU - Orosz, Péter TI - C-GEP: 100 Gbit/s Capable, FPGA-based, Reconfigurable Networking Equipment T2 - High Performance Switching and Routing (HPSR), 2015 IEEE 16th International Conference on PB - Institute of Electrical and Electronics Engineers (IEEE) CY - New York, New York SN - 9781479998715 PY - 2016 SP - 1 EP - 6 PG - 6 DO - 10.1109/HPSR.2015.7483084 UR - https://m2.mtmt.hu/api/publication/2943012 ID - 2943012 N1 - AITIA International Inc., Telecommunication Division, Budapest, Hungary Faculty of Informatics, University of Debrecen, Debrecen, Hungary Conference code: 121962 Cited By :6 Export Date: 7 December 2020 AB - Programmable networking platforms are in the spotlight since the advent of SDN (Software Defined Networking). It is a great challenge to create such a platform-especially with reconfigurable hardware and line-rate capabilities reaching and exceeding 100 Gbit/s. These requirements together put FPGA (Field Programmable Gate Array) technology into the focus of high performance networking. In this paper, we introduce a highly flexible, programmable, multipurpose networking platform , which is capable of hosting multiple 1 and 10 Gbit/s Ethernet interfaces-beside their 40 or 100 Gbit/s interface. The hardware of the introduced C-GEP platform is reconfigurable, even on-the-fly; due to the FPGA technology. C-GEP can host a wide range of high-speed network specific applications – including monitoring, switching and media conversion –, and it is aligned with the SDN principles. The system consists of two main building blocks: a high performance FPGA-based custom specific hardware platform and the firmware tailored to the actual task. The architecture is briefly introduced by its hardware and firmware setup, then some of the core functionalities, such as packet processing, filtering, and switching are presented. LA - English DB - MTMT ER - TY - CHAP AU - Tóthfalusi, Tamás AU - László, Kovács AU - Orosz, Péter AU - Varga, Pál TI - 100 Gbit/s network monitoring with on-the-fly reconfigurable rules for multi-encapsulated packets T2 - High Performance Switching and Routing (HPSR), 2015 IEEE 16th International Conference on PB - Institute of Electrical and Electronics Engineers (IEEE) CY - New York, New York SN - 9781479998715 PY - 2016 PG - 4 DO - 10.1109/HPSR.2015.7483096 UR - https://m2.mtmt.hu/api/publication/2943018 ID - 2943018 N1 - AITIA International Inc., Telecommunication Division, Budapest, Hungary Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Budapest, Hungary Conference code: 121962 Cited By :1 Export Date: 7 December 2020 AB - Before the advent of FPGAs (Field Programmable Gate Arrays), hardware acceleration of networking equipment has been implemented through static architectural elements. The new generations of these highly flexible FPGA architectures can be reconfigured on-the-fly, allow parallel processing of data arriving at high-speed, and even contain hundreds of DSPs (Digital Signal Processors), to further parallelize certain, computationally intensive tasks. This paper demonstrates some of the capabilities of a new, FPGA-based networking platform, C-GEP. This multi-purpose, programmable platform can support various tasks, from being a high-speed switch/router, through pre-processing packets for Deep Packet Inspection, towards being the Forwarding Plane element in the SDN infrastructure. The current demonstration contains two further implementations of 100 Gbit/s-capable applications: a traffic generator -- firing off multi-encapsulated packets - and a lossless traffic monitor - that is able to classify and steer the monitored traffic to further post-processors. LA - English DB - MTMT ER - TY - CHAP AU - Orosz, Péter AU - Tóthfalusi, Tamás AU - Varga, Pál ED - Badonnel, R ED - De Turck, F ED - dos, Santos CRP ED - Xiao, J ED - Ata, S ED - Groza, V TI - C-GEP: Adaptive Network Management with Reconfigurable Hardware T2 - 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM) PB - Institute of Electrical and Electronics Engineers (IEEE) CY - Ottawa SN - 9783901882760 PY - 2015 SP - 954 EP - 959 PG - 6 DO - 10.1109/INM.2015.7140417 UR - https://m2.mtmt.hu/api/publication/2942971 ID - 2942971 N1 - Faculty of Informatics, University of Debrecen, Debrecen, Hungary Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Budapest, Hungary Conference code: 113524 Cited By :7 Export Date: 7 December 2020 AB - Carrying out network monitoring tasks remains a continuous challenge, partially because the line rate reaches and exceeds 100 Gbit/s. Besides the increasing data rate, the advent of programmable networks necessitates efficient solutions for supporting packet processing tasks in an adaptive way. Introducing a modification of a protocol or any new protocol in such a flexible infrastructure implies a novel management approach incorporating network monitoring equipment with reconfigurable architecture. The requirement for high throughput and high level of reconfiguration together put Field Programmable Gate Array (FPGA) technology into the focus of high performance networking. In this paper, we introduce a programmable, multi-purpose network platform called C-GEP that is based on a reconfigurable architecture. The system consists of two main building blocks: a high performance FPGA-based custom hardware platform and a firmware dedicated for network monitoring. We present the architecture focusing on the system-level integration of specific packet processors. The integration of processing building blocks into one high performance system has great challenges. These are primarily related to specific, limiting factors of system resources – which we discuss also in this paper. LA - English DB - MTMT ER - TY - JOUR AU - Hullár, Béla AU - Laki, Sándor AU - György, András TI - Efficient Methods for Early Protocol Identification JF - IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS J2 - IEEE J SEL AREA COMM VL - 32 PY - 2014 IS - 10 SP - 1907 EP - 1918 PG - 12 SN - 0733-8716 DO - 10.1109/JSAC.2014.2358832 UR - https://m2.mtmt.hu/api/publication/2845657 ID - 2845657 N1 - ISSN: 0733-8716 DOI: 10.1109/JSAC.2014.2358832 Elérhető: http://ieeexplore.ieee.org/xpl/articleDetails.jsp? reload=true&arnumber=6911965 #hozzárendelt szerző ismeretlen AB - To manage and monitor their networks in a proper way, network operators are often interested in automatic methods that enable them to identify applications generating the traffic traveling through their networks as fast (i.e., from the first few packets) as possible. State-of-the-art packet-based traffic classification methods are either based on costly inspection of the payload of several packets in each flow or on basic flow statistics without taking into account the packet content. In this paper, we consider an intermediate approach of analyzing only the first few bytes of the first (or first few) packet(s) of each flow and propose automatic, machine-learning-based methods with very low computational complexity and memory footprint. The performance of these techniques are thoroughly analyzed, showing that outstanding early classification accuracy can be achieved on traffic traces generated by a diverse set of applications (including P2P TV and file sharing) in a laboratory environment as well as on a real-world data set collected in the network of a large European ISP. LA - English DB - MTMT ER - TY - CHAP AU - Szabó, Géza AU - Turányi, Z AU - Toka, László AU - Molnár, Sándor AU - Santos, A ED - International, Society of Coating Science and Technology TI - Automatic Protocol Signature Generation Framework for Deep Packet Inspection T2 - VALUETOOLS 2011 PB - Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (ICST) CY - Brüsszel SN - 9781936968091 PY - 2011 SP - 291 EP - 299 PG - 9 DO - 10.4108/icst.valuetools.2011.245606 UR - https://m2.mtmt.hu/api/publication/2693520 ID - 2693520 N1 - Agence Nationale de la Recherche (ANR); CREATE-NET; ENS Cachan; et al.; Gdr MACS; Institut Carnot C3S Conference code: 103413 Cited By :12 Export Date: 28 September 2021 LA - English DB - MTMT ER - TY - JOUR AU - Arthur, Callado AU - Carlos, Kamienski AU - Stenio, Fernandes AU - Djamel, Sadok AU - Szabó, Géza AU - Balazs, Peter Gero TI - Survey on Internet Traffic Identification JF - IEEE COMMUNICATIONS SURVEYS AND TUTORIALS J2 - IEEE COMMUN SURV TUTOR VL - 11 PY - 2009 IS - 3 SP - 37 EP - 52 PG - 16 SN - 1553-877X DO - 10.1109/SURV.2009.090304 UR - https://m2.mtmt.hu/api/publication/2644602 ID - 2644602 N1 - Federal University of Pernambuco in Recife, PE 50670-901, Brazil Federal University of ABC in Santo André, SP. 09.210-170, Brazil Federal Institute of Education, Science and Technology, IF-Alagoas, Maceió 57.020-510, Brazil Traffic Analysis and Network Performance Laboratory of Ericsson Research Research, Budapest, Hungary Cited By :270 Export Date: 28 September 2021 Correspondence Address: Callado, A.; Federal University of Pernambuco in Recife, PE 50670-901, Brazil; email: arthur@gprt.ufpe.br Funding details: UFP.17 Funding text 1: Manuscript received 31 October 2007; revised 7 July 2008. This work was supported in part by Ericsson Brazil under grant UFP.17. A. Callado, J. Kelner and D. Sadok are with the Federal University of Pernambuco in Recife, PE 50670-901 Brazil (e-mails: {arthur, jk, jamel}@gprt.ufpe.br). C. A. Kamienski is with the Federal University of ABC in Santo André, SP. 09.210-170 Brazil (e-mail: carlos.kamienski@ufabc.edu.br). Stênio Fernandes is with the Federal Institute of Education, Science and Technology (IF-Alagoas, Maceió 57.020-510 Brazil (e-mail: ste-nio.fernandes@ieee.org). G. Szabó and B. P. Gero˝ are with Traffic Analysis and Network Performance Laboratory of Ericsson Research Research in Budapest, Hungary (e-mails: {geza.szabo, balazs.peter.gero}@ericsson.com). Digital Object Identifier 10.1109/SURV.2009.090304. LA - English DB - MTMT ER -