Topology Discovery in Software Defined Networks: Threats, Taxonomy, and State-of-the-Art

2017 ◽  
Vol 19 (1) ◽  
pp. 303-324 ◽  
Author(s):  
Suleman Khan ◽  
Abdullah Gani ◽  
Ainuddin Wahid Abdul Wahab ◽  
Mohsen Guizani ◽  
Muhammad Khurram Khan
Keyword(s):  
State Of The Art ◽  
Topology Discovery ◽  
Software Defined Networks

Performance evaluation of topology discovery protocols in software defined networks

2021 ◽  
Author(s):  
Aristotelis Zacharis ◽  
Spiridoula V Margariti ◽  
Eleftherios Stergiou ◽  
Constantinos Angelis
Keyword(s):  
Performance Evaluation ◽  
Topology Discovery ◽  
Software Defined Networks

scholarly journals Fast Recovery Mechanisms in the Data Plane

2020 ◽  
Author(s):  
Marco Chiesa ◽  
Andrzej Kamisiński ◽  
Jacek Rak ◽  
Gábor Rétvári ◽  
Stefan Schmid
Keyword(s):  
Communication Networks ◽  
State Of The Art ◽  
Software Defined Networks ◽  
Fast Recovery ◽  
Link Layer ◽  
Open Research ◽  
Data Plane ◽  
Recovery Mechanisms ◽  
Networking Technologies ◽  
Over Time

<div>In order to meet their stringent dependability requirements, most modern communication networks support fast-recovery mechanisms in the data plane. While reactions to failures in the data plane can be significantly faster compared to control plane mechanisms, implementing fast recovery in the data plane is challenging, and has recently received much attention in the literature. This tutorial presents a systematic overview of packet-based fast-recovery mechanisms in the data plane, focusing on concepts but structured around different networking technologies, from traditional link-layer and IP-based mechanisms, over BGP and MPLS to emerging software-defined networks and programmable dataplanes. We examine the evolution of fast-recovery standards and mechanisms over time, and identify and discuss the fundamental principles and algorithms underlying different mechanisms. We then present a taxonomy of the state-of-the-art and compile open research</div><div>questions.</div>

scholarly journals A Systematic Literature Review on Military Software Defined Networks

2018 ◽  
Vol 10 (9) ◽  
pp. 88 ◽  
Author(s):  
Vasileios Gkioulos ◽  
Håkon Gunleifsen ◽  
Goitom Weldehawaryat
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Network Architecture ◽  
State Of The Art ◽  
Future Research ◽  
Software Defined Networks ◽  
Application Domain ◽  
Research Areas ◽  
Current State ◽  
Active Research

Software Defined Networking (SDN) is an evolving network architecture paradigm that focuses on the separation of control and data planes. SDN receives increasing attention both from academia and industry, across a multitude of application domains. In this article, we examine the current state of obtained knowledge on military SDN by conducting a systematic literature review (SLR). Through this work, we seek to evaluate the current state of the art in terms of research tracks, publications, methods, trends, and most active research areas. Accordingly, we utilize these findings for consolidating the areas of past and current research on the examined application domain, and propose directions for future research.

Efficient topology discovery algorithm for software‐defined networks

IET Networks ◽  
2017 ◽  
Vol 6 (6) ◽  
pp. 157-161 ◽  
Author(s):  
George Tarnaras ◽  
Fanouria Athanasiou ◽  
Spyros Denazis
Keyword(s):  
Topology Discovery ◽  
Software Defined Networks

scholarly journals State of the art in software defined networking (SDN)

2019 ◽  
Vol 13 (1) ◽  
pp. 178-194 ◽  
Author(s):  
Miguel Ángel Barrera Pérez ◽  
Neider Yampol Serrato Losada ◽  
Elisa Rojas Sánchez ◽  
Giovani Mancilla Gaona
Keyword(s):  
New Technologies ◽  
State Of The Art ◽  
Frame Of Reference ◽  
Software Defined Networks ◽  
Global Level ◽  
New Paradigm ◽  
Centralized Management ◽  
The University ◽  
Technological Platforms ◽  
State Of Art

The growth of networks at a global level is inevitable due to the increase of users, devices and applications, such as: Internet of Things (IoT), processing and analysis of large amounts of information (Big Data), or streaming audio and video, which has demanded from the systems, greater storage resources and bandwidth. To this purpose, diverse paradigms have emerged for the centralized management of all the components of a network through fully administrable, centralized and dynamic technological platforms; among these is SDN (Software-Defined Networks). This document, consequently, establishes the state-of-art from a documentary research of a categorical type to be used as a frame of reference for research in the area of SDN by the Research Group of New Technologies of Social Application GIDENUTAS ascribed to the University Francisco Jose de Caldas. This is chronologically limited to a review, from 2007 until today, focused on the countries that have promoted the development and implementation of this new paradigm, using databases such as IEEE Xplore, Google Scholar, as well as documents from standardization organizations such as ONF and ITU.

scholarly journals A Survey of Fast Recovery Mechanisms in the Data Plane

2020 ◽  
Author(s):  
Marco Chiesa ◽  
Andrzej Kamisiński ◽  
Jacek Rak ◽  
Gábor Rétvári ◽  
Stefan Schmid
Keyword(s):  
Communication Networks ◽  
State Of The Art ◽  
Software Defined Networks ◽  
Fast Recovery ◽  
Open Research ◽  
Data Plane ◽  
Recovery Mechanisms ◽  
Research Questions ◽  
Networking Technologies ◽  
Over Time

In order to meet their stringent dependability requirements, most modern communication networks support fast-recovery mechanisms in the data plane. While reactions to failures in the data plane can be significantly faster compared to control plane mechanisms, implementing fast recovery in the data plane is challenging, and has recently received much attention in the literature. This survey presents a systematic, tutorial-like overview of packet-based fast-recovery mechanisms in the data plane, focusing on concepts but structured around different networking technologies, from traditional link-layer and IP-based mechanisms, over BGP and MPLS to emerging software-defined networks and programmable data planes. We examine the evolution of fast-recovery standards and mechanisms over time, and identify and discuss the fundamental principles and algorithms underlying different mechanisms. We then present a taxonomy of the state of the art and compile open research questions.<br>

scholarly journals Network Slicing to Enable Resilience and High Availability in 5G Mobile Telecommunications

2018 ◽  
Vol 246 ◽  
pp. 03028
Author(s):  
Qi He ◽  
Yunxia Ju ◽  
Jianguo Wang ◽  
Gang Zhao ◽  
Haiyong Qin ◽  
...  
Keyword(s):  
Smart Grids ◽  
State Of The Art ◽  
Network Function Virtualization ◽  
Software Defined Networks ◽  
Network Slicing ◽  
Network Function ◽  
Fifth Generation ◽  
Personalized Services ◽  
Health Applications ◽  
Open Issues

In the upcoming fifth-generation (5G) ecosystem, the delivery of a variety of personalized services is envisioned. With the development of software-defined networks and network function virtualization technologies, networks display increasingly flexible features, such as programmability. Network slicing is a state-of-the-art technology that provides services tailored to the specific demands of users, such as smart grids and e-health applications. In this article, we introduce the network slicing concept and its application and discuss related work. In addition, we propose an architecture for network slicing by combining software-defined networks and network function virtualization technologies. Finally, we note important challenges and open issues in the development and application of these technologies.

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