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JCR Impact Factor: 0.700
JCR 5-Year IF: 0.700
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Issues per year: 4
Current issue: Aug 2024
Next issue: Nov 2024
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PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

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  3/2021 - 4

 HIGH-IMPACT PAPER 

Performance Analysis of Ryu-POX Controller in Different Tree-Based SDN Topologies

CABARKAPA, D. See more information about CABARKAPA, D. on SCOPUS See more information about CABARKAPA, D. on IEEExplore See more information about CABARKAPA, D. on Web of Science, RANCIC, D. See more information about RANCIC, D. on SCOPUS See more information about RANCIC, D. on SCOPUS See more information about RANCIC, D. on Web of Science
 
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Download PDF pdficon (1,704 KB) | Citation | Downloads: 2,074 | Views: 2,397

Author keywords
network topology, next generation networking, tree data structures, software defined networking, soft switching

References keywords
openflow(10), performance(9), networks(8), software(7), controller(7), networking(6), defined(6), controllers(6), network(5), link(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2021-08-31
Volume 21, Issue 3, Year 2021, On page(s): 31 - 38
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2021.03004
Web of Science Accession Number: 000691632000004
SCOPUS ID: 85121586882

Abstract
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Next generation networking architecture is required to be reliable, scalable, flexible, secure and has other advanced features. Traditional TCPIP networks are complex and cannot meet the requirements for high-quality network services. Software Defined Network (SDN) is an important technology that enables a completely new approach in how we develop and manage networks. SDN divides the data plane and control plane and promotes logical centralization of network control so that the controller can schedule the data in the network effectively through OpenFlow protocol. In this paper, we simulate the two SDN controllers of Ryu and POX, and compare their latency and throughput performance under Simple-Tree-Based (STB) and Fat-Tree-Based (FTB) network topologies. An SDN networking model has been designed using a Mininet emulator, and the code for custom STB/FTB topology is executed in Python script. Simulation outcomes indicate that in latency mode Ryu controller exhibited better results than POX controller, making it more suitable for small-scale SDN deployments. From the throughput simulation, POX controller displayed better results than Ryu, showing that it is able to respond to requests more promptly under complex FTB traffic loads, but with more hardware resources utilization.


References | Cited By

Cited-By Clarivate Web of Science

Web of Science® Times Cited: 4 [View]
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Cited-By SCOPUS

SCOPUS® Times Cited: 14
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Cited-By CrossRef

[1] A Flow-Based Performance Evaluation on RYU SDN Controller, Ram, Anil, Dutta, Manash Pratim, Chakraborty, Swarnendu Kumar, Journal of The Institution of Engineers (India): Series B, ISSN 2250-2106, Issue 2, Volume 105, 2024.
Digital Object Identifier: 10.1007/s40031-023-00982-0
[CrossRef]

[2] Performance Analysis of an OpenFlow-Enabled Network with POX, Ryu, and ODL Controllers, Das, Dipan, Sahoo, Bibhudatta, Roy, Sharmistha, Mohanty, Sagarika, IETE Journal of Research, ISSN 0377-2063, 2024.
Digital Object Identifier: 10.1080/03772063.2024.2394606
[CrossRef]

[3] Optimizing the performance of OpenFlow Protocol over QUIC, Lau, WaiMing, Wong, KaKei, Cui, Lin, Journal of Network and Computer Applications, ISSN 1084-8045, Issue , 2024.
Digital Object Identifier: 10.1016/j.jnca.2024.103873
[CrossRef]

[4] Development of Modules for Multiple Paths Finding for Software-Defined Network in MiniNet, Baskakov, Alexandr E., Mironov, Yuriy B., Bakhtin, Alexander A., Volkov, Alexey S., Gorelik, Aleksandr V., 2023 Seminar on Networks, Circuits and Systems (NCS), ISBN 979-8-3503-7038-6, 2023.
Digital Object Identifier: 10.1109/NCS60404.2023.10397517
[CrossRef]

[5] Congestion avoidance in data communication networks using software defined networking, Abiram, Ketheeswaran, Thabotharan, Kathiravelu, Proceedings of the 17th International Conference on emerging Networking EXperiments and Technologies, ISBN 9781450390989, 2021.
Digital Object Identifier: 10.1145/3485983.3493343
[CrossRef]

[6] NBench: A Comprehensive SDN Controller Benchmarking Suite, Li, Yikun, Zhao, Baokang, Hu, Yuxiang, Dai, Jinyou, 2024 22nd International Conference on Optical Communications and Networks (ICOCN), ISBN 979-8-3503-6765-2, 2024.
Digital Object Identifier: 10.1109/ICOCN63276.2024.10648356
[CrossRef]

Updated 2 days, 18 hours ago

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