Design and Implementation of a Benchmarking Tool for OpenFlow Controllers

Gamess, Eric; Tovar, Daniel; Cavadia, Alberto

doi:10.5815/ijitcs.2018.11.01

Cited by 8 publications

(4 citation statements)

References 13 publications

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“…The controller is the most important and fundamental part of the SDN architecture [36]- [38]. In SDN networks, control is carried out centrally in the controller [39], [40].…”

Section: An Overview Of Routing Methods In Transport Networkmentioning

confidence: 99%

Intelligent Traffic Engineering in Software-Defined Vehicular Networking Based on Multi-Path Routing

et al. 2020

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This paper addresses traffic engineering (TE) issues in software-defined vehicular networking (SDVN). A brief analysis of the features of SDVN, which improves the efficiency of TE in SDVN, is presented. The feasibility of using multi-path routing with TE is substantiated. A procedure and an example of the formation of multiple routes based on a modified wave routing algorithm are given. Considering the features of the SDVN technology, a modified TE method is proposed, which reduces both the time complexity of forming multiple paths and the path reconfiguration time. The dynamic path reconfiguration algorithm is presented. INDEX TERMS Intelligent transportation system (ITS), multi-path routing, software-defined network, traffic engineering (TE). I. INTRODUCTION The ever-growing number of vehicles on the roads makes the vehicular ad-hoc network (VANET) an important research topic in the field of automotive and wireless technologies. VANETs are considered as a subclass of classic mobile ad hoc networks (MANETs) [1]-[3]. Where vehicles play the role of mobile nodes of the VANETs. That have embedded advanced equipment on-board, traveling on restricted routes (i.e., roads, streets and lanes), and communicating with each other for information exchange using vehicle-to-vehicle (V2V) communication protocols, and also between vehicles and roadside units (RSU) installed on the side of the roads (i.e., wireless and cellular network infrastructure), to form a link between a Vehicle-to-Infrastructure (V2I). Compared to static or low-speed moving nodes in a traditional wireless network, vehicles move faster and more unpredictably, resulting in frequent changes to VANET network settings [4]-[7]. This places higher demands on routing protocols in VANET networks. Most well-known routing methods are not effective for VANET networks [8]-[11]. In this regard, the urgent The associate editor coordinating the review of this manuscript and approving it for publication was Chao Chen.

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“…The controller is the most important and fundamental part of the SDN architecture [36]- [38]. In SDN networks, control is carried out centrally in the controller [39], [40].…”

Section: An Overview Of Routing Methods In Transport Networkmentioning

confidence: 99%

Intelligent Traffic Engineering in Software-Defined Vehicular Networking Based on Multi-Path Routing

et al. 2020

View full text Add to dashboard Cite

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“…У SDN управління мережею, зокрема маршрутизацією, здійснюється централізовано в окремому пристрої, який називають контролером. Контролер є найбільш важливою та основною частиною в архітектурі SDN [5][6][7].…”

Section: вступunclassified

Спосіб Балансування Трафіку В SDN Мережах На Основі Модифікованого Протоколу Маршрутизації За Вектором Дистанції

Кулаков,

Щур

2023

PIM

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У роботі розглянуто питання балансування трафіку в комп'ютерних мережах з використанням технології Software-Defined Networking (SDN). Обґрунтовано доцільність балансування навантаження в мережах SDN на основі багатошляхової маршрутизації. Запропоновано критерій вибору шляху, що дає змогу забезпечити максимально можливе рівномірне завантаження каналів. Запропоновано спосіб балансування трафіку, який за рахунок централізованого способу формування маршрутної інформації в контролері SDN і використання способу багатошляхової маршрутизації дає змогу підвищити ефективність процедури динамічної реконфігурації трафіку. Формування маршрутної інформації здійснюється за допомогою модифікованого алгоритму маршрутизації за вектором дистанції. Даний алгоритм дозволяє одночасно з формуванням заданого маршруту формувати шляхи від усіх проміжних вузлів до кінцевого вузла. Запропоновано спосіб централізованого формування маршрутної інформації, що дозволяє виключити повторне формування маршрутної інформації для раніше сформованих ділянок шляху.

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“…A multiple-controller architecture can increase network reliability if a switch fails. OpenFlow starts operations when the switch is connected to all its configured controllers simultaneously, whereas related messages are only sent to the next switch [36][37][38][39].…”

Section: Openflowmentioning

confidence: 99%

A Topical Review on Machine Learning, Software Defined Networking, Internet of Things Applications: Research Limitations and Challenges

et al. 2021

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In recent years, rapid development has been made to the Internet of Things communication technologies, infrastructure, and physical resources management. These developments and research trends address challenges such as heterogeneous communication, quality of service requirements, unpredictable network conditions, and a massive influx of data. One major contribution to the research world is in the form of software-defined networking applications, which aim to deploy rule-based management to control and add intelligence to the network using high-level policies to have integral control of the network without knowing issues related to low-level configurations. Machine learning techniques coupled with software-defined networking can make the networking decision more intelligent and robust. The Internet of Things application has recently adopted virtualization of resources and network control with software-defined networking policies to make the traffic more controlled and maintainable. However, the requirements of software-defined networking and the Internet of Things must be aligned to make the adaptations possible. This paper aims to discuss the possible ways to make software-defined networking enabled Internet of Things application and discusses the challenges solved using the Internet of Things leveraging the software-defined network. We provide a topical survey of the application and impact of software-defined networking on the Internet of things networks. We also study the impact of machine learning techniques applied to software-defined networking and its application perspective. The study is carried out from the different perspectives of software-based Internet of Things networks, including wide-area networks, edge networks, and access networks. Machine learning techniques are presented from the perspective of network resources management, security, classification of traffic, quality of experience, and quality of service prediction. Finally, we discuss challenges and issues in adopting machine learning and software-defined networking for the Internet of Things applications.

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Design and Implementation of a Benchmarking Tool for OpenFlow Controllers

Cited by 8 publications

References 13 publications

Intelligent Traffic Engineering in Software-Defined Vehicular Networking Based on Multi-Path Routing

Intelligent Traffic Engineering in Software-Defined Vehicular Networking Based on Multi-Path Routing

Спосіб Балансування Трафіку В SDN Мережах На Основі Модифікованого Протоколу Маршрутизації За Вектором Дистанції

A Topical Review on Machine Learning, Software Defined Networking, Internet of Things Applications: Research Limitations and Challenges

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