Experimental performance analysis of software-defined network switch and controller

Beshley, Mykola; Seliuchenko, Marian; Panchenko, Oleksiy; Zyuzko, Oleg; Kahalo, Ihor

doi:10.1109/tcset.2018.8336203

Cited by 29 publications

(6 citation statements)

References 20 publications

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“…The research has already taken under consideration a range of topics, like the time of response of a controller [5], [6], the number of flows the controller is capable of managing in a period of time [7], the response time of the switches [8], the overall delay in SDN-domain based network [9], controller's placement in the network [10], intensity of traffic required for setup and upkeep procedures [11], [12], and more. Mostly, a constant bit rate (CBR) types of traffic are utilized during the experiments in the testbeds.…”

Section: Problem Of Performance In Sdn Networkmentioning

confidence: 99%

Impact of SDN Controller’s Performance on Quality of Service

Kaczmarek,

Litka

2024

IEEE Access

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Software Defined Networking is a paradigm in network architecture; that is quickly becoming commonplace in modern telecommunication systems. It facilitates network customization for the requirements of different applications and simplifies the implementation of new services. Since its proposal, a significant evolution in its functionality has occurred. However, this development brought along problems of efficiency and performance, which are currently under research. A number of requirements has to be met, if Software Defined Networking is going to be the next step in the Next-Generation Networks progression. The central part of itthe SDN controllerhas to put minimum strain on the system and provide performance which does not impede Quality of Service requirements. In this paper, the results of a research on SDN controller's performance have been provided in the context of keeping up with flows' QoS. For this, an emulated-physical research platform has been implemented. This research environment utilizes traffic generated accordingly to ITU-T recommendations to validate QoS parameters. The platform is given a thorough description. The results obtained from it take under consideration the implemented traffic sources, as well as the intensity of traffic handled by the controller and the traffic load of data plane links. Authors indicate that even without breaking the limitations set for delays in QoS, the impact of the controller workload is noticeable, which should be mitigated by applying appropriate resource control.

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Section: Problem Of Performance In Sdn Networkmentioning

confidence: 99%

Impact of SDN Controller’s Performance on Quality of Service

Kaczmarek,

Litka

2024

IEEE Access

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“…Specifically, the service performance estimation is implemented based on the min-plus algebra theory, and the optimization is fulfilled by using two VNF migration approaches on the basis of greedy and load balance, respectively. Furthermore, in [13], the authors considered the performance estimation of SDN switch and controller. They conducted benchmarking on the switch and the controller, proving that non-virtualized switches characterized by higher performance, while virtualized ones.…”

Section: A Software Performance Estimationmentioning

confidence: 99%

Towards Optimized Verification and Validation of 5G Services

Touloupou

Kapassa

Mavrogiorgou

et al. 2019

2019 Sixth International Conference on Software Defined Systems (SDS)

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Overall Internet Protocol (IP) traffic is expected to grow to 396 Exabyte per month by 2022, as a result of the demands of new applications such as Cloud, Internet of Things (IoT) and the expected arrival of fifth generation mobile networks (5G). In particular, mobile networks contribute most to this predicted increase in traffic and have a heavy burden on technological developments. Most of this traffic will be local with a significant burden on the access network and the metropolitan and less to the backbone network. Thus, focusing on the corresponding traffic, produced by 5G applications running in the core network, the need for data analysis and performance estimation becomes essential, in order to enhance the Validation and Verification (V&V) of different Network Services (NS) across heterogeneous platforms. In this paper, we are focusing on the analysis of the deployed NSs' produced monitoring data, over a Software Defined Network (SDN). Furthermore, we propose an approach where the service developers would benefit from all the essentials in order to understand the service's behavior, and optimize the V&V tests, prior to the production.

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“…[16]. Управління рівнем радіодоступу буде здійснюватися з допомогою програмно-керованого ядра SDN [17][18]…”

Section: концепція інтегрованої Lte/wi-fi мобільної мережі наступногоunclassified

Adaptive Formation of a Multilevel Radiostructure of Integrated Lte / Wi-Fi Networks

Kahalo¹,

Beshley²,

Климаш³

et al. 2019

TIT

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Запропоновано інтегровану LTE/Wi-Fі мережу мобільного оператора. Розроблено метод адаптивного формування структури інтегрованої мережі LTE/Wi-Fi радіодоступу з уникненням міжрівневої інтерференції. Використання такого підходу до розбиття структури рівня пікокомірок, дозволяє максимально ефективно розмежувати зони дії кожної базової станції та забезпечити абонентів на межі розподілу комірок послугами з низьким рівнем інтерференційних завад. Використовуючи засоби імітаційного моделювання, розроблено модель інтегрованої мережі, яка в залежності від розподілу користувацького навантаження та просторової локалізації базових станцій LTE і Wi-Fi точок формує структуру мережі радіодоступу. Ключові слова: інтегрована мережа, локалізація абонентського навантаження, LТЕ-U, пікокомірка, пропускна здатність мережі, якість сервісу.

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Experimental performance analysis of software-defined network switch and controller

Cited by 29 publications

References 20 publications

Impact of SDN Controller’s Performance on Quality of Service

Impact of SDN Controller’s Performance on Quality of Service

Towards Optimized Verification and Validation of 5G Services

Adaptive Formation of a Multilevel Radiostructure of Integrated Lte / Wi-Fi Networks

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