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001-es BibID:BIBFORM114011
035-os BibID:(WoS)001104140800009 (Scopus)85176760665
Első szerző:Gál Zoltán (informatikus)
Cím:On the patterns of the nonstationary datagram based fast communication processes / Zoltan Gal, Gyorgy Terdik
Dátum:2023
ISSN:1787-5021 1787-6117
Megjegyzések:Nowadays expectations against modern communication services involve not just Quality of Service (QoS) enhancement for real-time applications but also increased transmission rate between the storing and processing of Big Data nodes. Transmission Control Protocol (TCP) has strict flow control of the data stream providing automatic adaptation to the path load of the process-to-process communication. User Datagram Protocol (UDP) based solutions are proposed to settle the communication efficiency. In this paper, we analyse the effect of three independent communication parameters on the efficiency of looped UDP communication: the size of the Maximum Transfer Unit (MTU), the bandwidth of the end-to-end session, and the segment size of the UDP protocol data unit. The usage of nonstationary multi-resolution methods helps to identify three characteristic patterns offering identification of the objective qualitative features of the looped datagram communication services.
Tárgyszavak:Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény hazai lapban
folyóiratcikk
datagram
high-speed network
nonstationarity
Fourier transform
nonlinearity
Wavelet transform
Empirical Mode Decomposition
Variational Mode Decomposition
Megjelenés:Annales Mathematicae et Informaticae. - 58 (2023), p. 41-55. -
További szerzők:Terdik György (1949-) (matematikus, informatikus)
Pályázati támogatás:TKP2021-NKTA
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2.

001-es BibID:BIBFORM062529
035-os BibID:Zbl.06476013
Első szerző:Gál Zoltán (informatikus)
Cím:Surprise event detection of the supercomputer execution queues / Zoltán Gál, Tibor Tajti, György Terdik
Dátum:2015
ISSN:1787-5021 1878-6117
Megjegyzések:Huge amount of data is generated by and collected from the IoT (Internet of Things) physical and virtual devices. These sets of data series reflect in complex form the state of a given system in multidimensional space. Healthiness evaluation of a given system implies state analysis with enhanced methods. Special events can appear during the execution of jobs in a supercomputer (HPC - High Performance Computer) system. Depending on the HPC architecture hundreds or thousands of computation nodes are working in parallel. The scheduler of the HPC front-end node manages different queues (parallel, serial, test, etc.) of the job execution. The multitude of data series captured periodically with several tens of thousands of samples creates a set of several dozen variables for each computation node. The healthiness of the whole HPC system is a temporal concept in the term of 2D or 4D multidimensional time-space domains. In this paper we propose a healthiness evaluation method for each execution queue of a two different HPC system with 20 TFLOP/s and 5 TFLOP/s computation capacities, respectively. Time independent community structure is determined and controlled based on multiple similarity measures and ANN (Artificial Neural Network) based SOM (Self-Organized Map) algorithm. For each cluster of variables is determined a representing variable, including time specific and global characteristics of the own cluster. The resulting set of representing variables contains less than ten dissimilar time series. Wavelet methods are used for extreme event detection in time of each representing variable. The surprise event detection in time of the HPC execution queues is based on the simultaneity of extreme event fingerprints.
Tárgyszavak:Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény hazai lapban
High Performance Computer
sensors/actuators
IoT
Complex Event Processing
Event Stream Processing
Artificial Neural Networks
SOM
FFT
STFT
Wavelets
Megjelenés:Annales Mathematicae et Informaticae. - 44 (2015), p. 87-97. -
További szerzők:Tajti Tibor Gábor (1970-) (informatikus) Terdik György (1949-) (matematikus, informatikus)
Pályázati támogatás:TÁMOP-4.2.2.C-11/1/KONV-2012-0010
TÁMOP
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3.

001-es BibID:BIBFORM094453
035-os BibID:(WoS)000654007400011 (Scopus)85107458834
Első szerző:Korteby, Mohamed Amine (informatikus)
Cím:Multi dimensional analysis of sensor communication processes / Mohmamed Amine Korteby, Zoltán Gál, Péter Polgár
Dátum:2021
ISSN:1787-5021 1787-6117
Megjegyzések:The Internet of Things requires communication mechanism to be optimal not only from the data transfer but from the energy consumption point of view, too. One of the most analyzed types of the sensor network is Low Energy Adaptive Clustering Hierarchy (LEACH) system depending on the population density, algorithm of cluster head election, heterogeneity of the energy and physical position of the nodes, velocity of the sink node, data aggregation rate and size of the data frame. Complexity of the system has been analyzed based on status data series of 360 simulation cases. New family of wireless sensor network (WSN) system is proposed with name CB-LEACH, having better characteristics than the classical LEACH system. The service ability of sensor network and dependency properties was done with analytic technique based on Singular Value Decomposition (SVD). Using this method there were identified most important modes serving as basis to regenerate responses of the studied sensor systems. It was found that the number of significant modes is just six. The novelty of the paper is a proof of concept that SVD is a useful multidimensional tool which can be used for describing the behavior of the newly proposed CB-LEACH family of sensor network mechanisms.
Tárgyszavak:Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény hazai lapban
folyóiratcikk
Wireless sensor networks
Low Energy Adaptive Clustering Hierrarchy (LEACH)
switching
cluster
classification analysis
Megjelenés:Annales Mathematicae et Informaticae. - 53 (2021), p. 169-182. -
További szerzők:Gál Zoltán (1966-) (informatikus) Polgár Péter (1996-) (informatikus)
Pályázati támogatás:EFOP-3.6.3-VEKOP-16-2017-00002
EFOP
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4.

001-es BibID:BIBFORM115407
035-os BibID:(WoS)001104140800012 (Scopus)85176771899
Első szerző:Polgár Péter (informatikus)
Cím:Three level benchmarking of Singularity containers for scientific calculations / Péter Polgár, Tamás Menyhárt, Csanád Bátor Baksay, Gergely Kocsis, Tibor Gábor Tajti, Zoltán Gál
Dátum:2023
ISSN:1787-5021 1787-6117
Megjegyzések:In this work we present our results from benchmarking Singularity containers running scientific calculations intended for HPC at three levels of complexity, comparing them against native software environments. Our investigations were run on up-to-date hardware and the latest available software as of early 2023. To get a more detailed picture, we examined three different system aspects: we ran separate benchmarks on CPU, memory, and I/O intensive operations. These aspects were tested with microbenchmarks, and at a high level - an HPC workload pipeline which intensely loaded each aspect. As a result of our investigations we show that Singularity containerization continues to provide as good, or in some cases even better performance indicators as in a native environment - with the substantial added benefits of application flexibility and portability.
Tárgyszavak:Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény hazai lapban
folyóiratcikk
Containerbenchmarking
Singularity
HPC
Megjelenés:Annales Mathematicae et Informaticae. - 58 (2023), p. 133-146. -
További szerzők:Menyhárt Tamás (2003-) (programtervező informatikus) Baksay Csanád Bátor (1996-) (programtervező informatikus) Kocsis Gergely (1983-) (programtervező matematikus) Tajti Tibor Gábor (1970-) (informatikus) Gál Zoltán (1966-) (informatikus)
Pályázati támogatás:TKP2021-NKTA-34
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