Adrian Pekar
Adrian Pekar
Department of Networked Systems and Services, Budapest University of Technology and Economics
Verified email at
Cited by
Cited by
Decentralised IoT architecture for efficient resources utilisation
J Mocnej, WKG Seah, A Pekar, I Zolotova
IFAC-PapersOnLine 51 (6), 168-173, 2018
Network traffic characteristics of the IoT application use cases
J Mocnej, A Pekar, WKG Seah, I Zolotova
School of Engineering and Computer Science, Victoria University of Wellington, 2018
Quality-enabled decentralized IoT architecture with efficient resources utilization
J Mocnej, A Pekar, WKG Seah, P Papcun, E Kajati, D Cupkova, ...
Robotics and Computer-Integrated Manufacturing 67, 102001, 2021
Scalable architecture for SDN traffic classification
M Hayes, B Ng, A Pekar, WKG Seah
IEEE Systems Journal 12 (4), 3203-3214, 2017
Application domain-based overview of IoT network traffic characteristics
A Pekar, J Mocnej, WKG Seah, I Zolotova
ACM Computing Surveys (CSUR) 53 (4), 1-33, 2020
NFStream: A flexible network data analysis framework
Z Aouini, A Pekar
Computer Networks 204, 108719, 2022
Smart user consumption profiling: Incremental learning-based OTT service degradation
JS Rojas, A Pekar, Á Rendón, JC Corrales
IEEE access 8, 207426-207442, 2020
Traffic classification with machine learning in a live network
J Bakker, B Ng, WKG Seah, A Pekar
2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM …, 2019
Adaptive Aggregation of Flow Records
A Pekár, M Chovanec, L Vokorokos, E Chovancová, P Feciľak, ...
Computing and Informatics 37 (1), 142–164, 2018
Yet another attempt in user authentication
L Vokorokos, A Pekár, N Ádám, P Darányi
Acta Polytechnica Hungarica 10 (3), 37-50, 2013
Issues in the passive approach of network traffic monitoring
A Pekár, E Chovancová, P Fanfara, J Trelová
2013 IEEE 17th International Conference on Intelligent Engineering Systems …, 2013
Data preprocessing for efficient evaluation of network traffic parameters
L Vokorokos, A Pekár, N Ádám
2012 IEEE 16th International Conference on Intelligent Engineering Systems …, 2012
Knowledge discovery: Can it shed new light on threshold definition for heavy-hitter detection?
A Pekar, A Duque-Torres, WKG Seah, O Caicedo
Journal of Network and Systems Management 29, 1-30, 2021
IPFIX Mediation framework of the SLAmeter tool
L Vokorokos, A Pekár, P Fecil'ak
2013 IEEE 11th International Conference on Emerging eLearning Technologies …, 2013
Heavy-hitter flow identification in data centre networks using packet size distribution and template matching
A Duque-Torres, A Pekar, WKG Seah, OMC Rendon
2019 IEEE 44th Conference on Local Computer Networks (LCN), 10-17, 2019
SLAmeter-The evaluator of network traffic parameters
A Pekár, P Fecil'ak, M Michalko, J Giertl, M Révés
2012 IEEE 10th International Conference on Emerging eLearning Technologies …, 2012
Towards machine learning-based anomaly detection on time-series data
D Vajda, A Pekar, K Farkas
Infocommunications Journal 13 (1), 35-44, 2021
A non‐intrusive Smart metering system: Analytics and simulation of power consumption
P Fecil'ak, A Pekár, N Ádám, A Baláž, E Chovancová
Concurrency and Computation: Practice and Experience 32 (13), e5250, 2020
Web application of the SLAmeter tool
L Vokorokos, J Juhár, A Pekár, P Fecil'ak
2014 IEEE 12th IEEE International Conference on Emerging eLearning …, 2014
Overview and insight into the monica research group
A Pekár, M Révés, J Giertl, P Feciľak
Open Computer Science 2 (3), 331-343, 2012
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