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Adrian Pekar
Adrian Pekar
Department of Networked Systems and Services, Budapest University of Technology and Economics
Verified email at hit.bme.hu
Title
Cited by
Cited by
Year
Decentralised IoT architecture for efficient resources utilisation
J Mocnej, WKG Seah, A Pekar, I Zolotova
IFAC-PapersOnLine 51 (6), 168-173, 2018
732018
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
612018
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
602021
Scalable architecture for SDN traffic classification
M Hayes, B Ng, A Pekar, WKG Seah
IEEE Systems Journal 12 (4), 3203-3214, 2017
592017
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
552020
NFStream: A flexible network data analysis framework
Z Aouini, A Pekar
Computer Networks 204, 108719, 2022
482022
Smart user consumption profiling: Incremental learning-based OTT service degradation
JS Rojas, A Pekar, Á Rendón, JC Corrales
IEEE access 8, 207426-207442, 2020
342020
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
282019
Adaptive Aggregation of Flow Records
A Pekár, M Chovanec, L Vokorokos, E Chovancová, P Feciľak, ...
Computing and Informatics 37 (1), 142–164, 2018
262018
Yet another attempt in user authentication
L Vokorokos, A Pekár, N Ádám, P Darányi
Acta Polytechnica Hungarica 10 (3), 37-50, 2013
262013
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
152013
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
142012
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
112021
IPFIX Mediation framework of the SLAmeter tool
L Vokorokos, A Pekár, P Fecil'ak
2013 IEEE 11th International Conference on Emerging eLearning Technologies …, 2013
112013
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
102019
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
102012
Towards machine learning-based anomaly detection on time-series data
D Vajda, A Pekar, K Farkas
Infocommunications Journal 13 (1), 35-44, 2021
72021
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
62020
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
62014
Overview and insight into the monica research group
A Pekár, M Révés, J Giertl, P Feciľak
Open Computer Science 2 (3), 331-343, 2012
62012
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