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Guesmi, Tawfik, Anwar Kalghoum, Badr M. Alshammari, Haitham Alsaif, and Ahmed Alzamil. "Leveraging Software-Defined Networking Approach for Future Information-Centric Networking Enhancement." Symmetry 13, no. 3 (March 9, 2021): 441. http://dx.doi.org/10.3390/sym13030441.
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Information-centric networking (ICN) has been developed as a potential candidate for future networks. In this model, users are provided with content rather than communication channels between the different hosts. The ICN network has several problems such as scalability issues and bandwidth consumption. However, software-defined networking (SDN) has been proposed to improve the networking architectures. The goal of our paper is to propose a new approach to named-data networking (NDN) based on the paradigm of SDN. Our work introduces various research studies carried out in the SDN and ICN contexts. We first present the SDN architecture. Then, we focus on work that combines ICN and SDN architectures. Finally, we show the effects of using the SDN architecture on the named-data network (NDN). Our experimental results show that the use of the SDN architecture has a positive effect on NDN network performance.
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Benzekki, Kamal, Abdeslam El Fergougui, and Abdelbaki Elbelrhiti Elalaoui. "Software-defined networking (SDN): a survey." Security and Communication Networks 9, no. 18 (December 2016): 5803–33. http://dx.doi.org/10.1002/sec.1737.
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Tian, Chen, Jie Wu, and Haibin Song. "Software-Defined Networking in Access Networks." International Journal of Web Services Research 12, no. 1 (January 2015): 1–11. http://dx.doi.org/10.4018/ijwsr.2015010101.
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Software-Defined Networking proposes to fundamentally change the current practice of network control. The two basic ideas are Centralized State Control and Uniform Device Abstraction, which support the Software-Defined promise. SDN has made significant progress. The opportunities of SDN in carrier access networks have been largely ignored by both industry and academia. In access networks, Quality-of-Service (QoS) oriented bandwidth management is more critical; the flexible QoS provisioning could be the most important opportunity for SDN. In this position paper, the authors show that the unique characteristics of access networks pose significant challenges to the two basic ideas. Contrary to the common agreement on “match-action” abstraction, the authors argue that the object-oriented abstraction might be a better choice for access networks to make a better software-defined implementation.
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Mustafa, Firas M. "Software Defined Networking Based Optical Network: A review." Academic Journal of Nawroz University 9, no. 2 (June 29, 2020): 139. http://dx.doi.org/10.25007/ajnu.v9n2a718.
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In the field of networking, software-defined networking (SDN) has obtained a lot of concentration from both academic and industry, and it aims to provide a flexible and programmable level of control, beside obtain efficient control and management of network systems. For such reasons, the software-defined networks (SDN) can be deemed as an essential task to accomplish these requirements. In the datacenters and networks, the SDN is used to allow the administrators of the networks to start programming, controlling, changing, and managing dynamically the network behavior with open interfaces and a reflection of lower-level functionality because the need for SDN-like switching technology has become evident for many users of network equipment, especially in large data centers. There are many algorithms and applications that have been considered in SDN such as (FP-MA), EON, (EQUAL-APP) (VONCR-APP), and (T-SDN) as use cases for approval purposes because the SDN provides several focal points to the power, operation, and administration of extensive range networks. This paper aims to review Optical Network using SDN, where many types of research papers are present techniques to improve near-optimal traffic engineering and management; measurement and monitoring of the significant parameters of the optical networks and manage the cross-layer issues such as debugging and testing.
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Babbar, Himanshi, and Shalli Rani. "Emerging Prospects and Trends in Software Defined Networking." Journal of Computational and Theoretical Nanoscience 16, no. 10 (October 1, 2019): 4236–41. http://dx.doi.org/10.1166/jctn.2019.8506.
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In today’s era Software Defined Networking (SDN) has accumulated popularity in both the Industry and Academia. SDN is massively facilitated by different sectors, there is an abundant amount of work going on in the studies where SDN is required. Improving the load balancing in SDN plays an important role in solving the problem in the specific domain. Since 2009, publications in this field are getting doubled approximately, it takes a short time for bibliometric analysis. This paper facilitates the comprehensive survey on “SDN Load Balancing” for the fixed frame of timeline. 530 publications related to the Load Balancing in SDN were scrutinized based on the database of Scopus. This paper investigated the publications of research on multiple parameters: 1. Publishing patterns e.g., Authors and affiliations 2. Keywords to examine the specific domain 3. Analysis of keywords 4. Citation patterns 5. Several publications. Lastly, it examines the survey of literature based on the quantifiable structures of SDN load balancing on several perspectives. The suggested analytical study will act as an influential instrument for substantial discussion of impending research schemes.
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Hussein, A., Louma Chadad, Nareg Adalian, Ali Chehab, Imad H. Elhajj, and Ayman Kayssi. "Software-Defined Networking (SDN): the security review." Journal of Cyber Security Technology 4, no. 1 (August 8, 2019): 1–66. http://dx.doi.org/10.1080/23742917.2019.1629529.
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Karakus, Murat, and Arjan Durresi. "Economic Viability of Software Defined Networking (SDN)." Computer Networks 135 (April 2018): 81–95. http://dx.doi.org/10.1016/j.comnet.2018.02.015.
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Ali, Tariq Emad, Ameer Hussein Morad, and Mohammed A. Abdala. "Traffic management inside software-defined data centre networking." Bulletin of Electrical Engineering and Informatics 9, no. 5 (October 1, 2020): 2045–54. http://dx.doi.org/10.11591/eei.v9i5.1928.
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In recent years, data centre (DC) networks have improved their rapid exchanging abilities. Software-defined networking (SDN) is presented to alternate the impression of conventional networks by segregating the control plane from the SDN data plane. The SDN presented overcomes the limitations of traditional DC networks caused by the rapidly incrementing amounts of apps, websites, data storage needs, etc. Software-defined networking data centres (SDN-DC), based on the open-flow (OF) protocol, are used to achieve superior behaviour for executing traffic load-balancing (LB) jobs. The LB function divides the traffic-flow demands between the end devices to avoid links congestion. In short, SDN is proposed to manage more operative configurations, efficient enhancements and further elasticity to handle massive network schemes. In this paper the opendaylight controller (ODL-CO) with new version OF 1.4 protocol and the ant colony optimization algorithm is proposed to test the performance of the LB function using IPv6 in a SDN-DC network by studying the throughput, data transfer, bandwidth and average delay performance of the networking parameters before and after use of the LB algorithm. As a result, after applying the LB, the throughput, data transfer and bandwidth performance increased, while the average delay decreased.
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Fondo-Ferreiro, Pablo, and Felipe Gil-Castiñeira. "The Role of Software-Defined Networking in Cellular Networks." Proceedings 21, no. 1 (July 31, 2019): 23. http://dx.doi.org/10.3390/proceedings2019021023.
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In this paper, we discuss how SDN can contribute to enhance future cellular networks. We first present SDN and describe its characteristics. Then, we explore how SDN can be used to improve current cellular networks, analyzing the advantages and disadvantages, while highlighting some use cases. Finally, we conclude this work exposing some challenges that still require further research to take full advantage of SDN in cellular networks.
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Farhady, Hamid, and Akihiro Nakao. "Tag-Based Classification for Software-Defined Networking." International Journal of Grid and High Performance Computing 7, no. 1 (January 2015): 1–14. http://dx.doi.org/10.4018/ijghpc.2015010101.
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Software-Defined Networking (SDN) increasingly attracts more researchers as well as industry attentions. Most of current SDN packet processing approaches classify packets based on matching a set of fields on the packet against a flow table and then applying an action on the packet. The authors argue that it is possible to simplify this mechanism using single-field classification and reduce the overhead. They propose a tag-based packet classification architecture to reduce filtering and flow management overhead. Then, they show how to use this extra capacity to perform application layer classification for different purposes. The authors demonstrated their evaluation results to indicate the effectiveness of the proposal. Furthermore, they implemented a customized user-defined SDN action that addresses some security challenges of one of their previous works and showed performance evaluation results.
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Bone Andrade, Miguel Fabricio, Jaime Darío Rodríguez Vizuete, Sandra María Sosa Calero, and Luis Alfonso Núñez Freire. "Perspectivas de aplicación e investigación en Software Defined Networking SDN." ConcienciaDigital 4, no. 1 (January 2, 2021): 120–32. http://dx.doi.org/10.33262/concienciadigital.v4i1.1538.
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Introducción: La infraestructura de redes de comunicaciones han evolucionado para convertirse en el soporte de empresas, actualmente existe un aumento de empresas de compañías que toman mayor importancia sobre la tecnología, así también las telecomunicaciones son una parte fundamental del crecimiento de las empresas a nivel mundial y del desarrollo económico. Por lo cual existen grandes esfuerzos para la investigación en nuevas tecnologías de software y de hardware de redes de comunicaciones. Objetivo: el objetivo de la investigación es contestar las interrogantes ¿Cuáles son las perspectivas de investigaciones en SDN? ¿Cuáles son las perspectivas de aplicaciones de SDN? Método: Se planifica un proceso de 3 etapas: Análisis teórico: recopilación detallada de información, para conceptualizar SDN, las perspectivas de aplicaciones e investigación en SDN. Análisis de las perspectivas de investigaciones en SDN. Y establecer las perspectivas de aplicaciones de SDN. Resultado: Se presentan varias perspectivas sobre las líneas de investigación de SDN de las cuales destacan es la calidad de servicio, la gestión y automatización de la red, la virtualización de la red y los medios de simulación de las redes SDN. Y dentro de las perspectivas de las aplicaciones de SDN destacan, aplicaciones de ciberseguridad, redes autoconscientes para mejorar la calidad de servicio y la eficiencia energética, mecanismos de enrutamiento inteligente y redes domésticas. Conclusión Una de las principales líneas de investigación que se presentan en SDN es la seguridad de la red, también se encuentra el SDN aplicado a ciberseguridad. SDN se convierte en un nicho muy grande para realizar investigaciones y encontrar de esta manera la forma de perfeccionarlo y también aplicar en un mayor número de realidades propias de las redes de comunicaciones.
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Bone Andrade, Miguel Fabricio, Jaime Darío Rodríguez Vizuete, Sandra María Sosa Calero, and Luis Alfonso Núñez Freire. "Perspectivas de aplicación e investigación en Software Defined Networking SDN." ConcienciaDigital 4, no. 1 (January 2, 2021): 120–32. http://dx.doi.org/10.33262/concienciadigital.v4i1.1538.
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Introducción: La infraestructura de redes de comunicaciones han evolucionado para convertirse en el soporte de empresas, actualmente existe un aumento de empresas de compañías que toman mayor importancia sobre la tecnología, así también las telecomunicaciones son una parte fundamental del crecimiento de las empresas a nivel mundial y del desarrollo económico. Por lo cual existen grandes esfuerzos para la investigación en nuevas tecnologías de software y de hardware de redes de comunicaciones. Objetivo: el objetivo de la investigación es contestar las interrogantes ¿Cuáles son las perspectivas de investigaciones en SDN? ¿Cuáles son las perspectivas de aplicaciones de SDN? Método: Se planifica un proceso de 3 etapas: Análisis teórico: recopilación detallada de información, para conceptualizar SDN, las perspectivas de aplicaciones e investigación en SDN. Análisis de las perspectivas de investigaciones en SDN. Y establecer las perspectivas de aplicaciones de SDN. Resultado: Se presentan varias perspectivas sobre las líneas de investigación de SDN de las cuales destacan es la calidad de servicio, la gestión y automatización de la red, la virtualización de la red y los medios de simulación de las redes SDN. Y dentro de las perspectivas de las aplicaciones de SDN destacan, aplicaciones de ciberseguridad, redes autoconscientes para mejorar la calidad de servicio y la eficiencia energética, mecanismos de enrutamiento inteligente y redes domésticas. Conclusión Una de las principales líneas de investigación que se presentan en SDN es la seguridad de la red, también se encuentra el SDN aplicado a ciberseguridad. SDN se convierte en un nicho muy grande para realizar investigaciones y encontrar de esta manera la forma de perfeccionarlo y también aplicar en un mayor número de realidades propias de las redes de comunicaciones.
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McCoy, James, and Danda B. Rawat. "Software-Defined Networking for Unmanned Aerial Vehicular Networking and Security: A Survey." Electronics 8, no. 12 (December 3, 2019): 1468. http://dx.doi.org/10.3390/electronics8121468.
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Despite the immense benefits offered by the utilization of unmanned aerial vehicles (UAVs) in civilian and military applications, significant work needs to be done to ensure that these systems are able to securely communicate and resiliently operate to accomplish the mission. As the UAVs grow with their popularity and usability for different applications, there is a dire need to ensure that UAVs and their networks are capable of mitigating cyber-attacks on the fly. One approach that has gained considerable popularity is Software-Defined Networking (SDN) based solutions. SDN is a networking paradigm that has gained attention due to its dynamic flexibility to program networks and increase network visibility, and its potential to assist in the mitigating security vulnerabilities in the network including the network of UAVs. This article provides an overview of recent advances, and current state of art related to security vulnerabilities and SDN enabled countermeasures. This paper also presents a comparison of different approaches in a tabular form and a discussion of challenges and future research directions with respect to UAV security.
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Khoa, Do Van, and Tran Ngo Nhu Khanh. "MÔ PHỎNG MẠNG SOFTWARE-DEFINED NETWORKING SỬ DỤNG MININET." Tạp chí Khoa học Đại học Đà Lạt 11, no. 1 (February 5, 2021): 80. http://dx.doi.org/10.37569/dalatuniversity.11.1.657(2021).
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Kiến trúc mạng thế hệ mới Software-defined networking (SDN) cho phép đơn giản hóa và cải tiến việc quản lý mạng bằng cách tách biệt hai thành phần điều khiển mạng (Control plane) với chức năng vận chuyển dữ liệu (Data plane). Tuy nhiên, do đang trong quá trình nghiên cứu, việc ứng dụng SDN vào thực tế còn chưa nhiều. Phần lớn các thiết bị chuyển mạch và định tuyến mạng hiện nay có hỗ trợ SDN có giá thành cao. Một giải pháp để nghiên cứu và thử nghiệm các tính năng của SDN là dùng các công cụ giả lập. Nghiên cứu thực hiện đánh giá triển khai SDN trên các môi trường khác nhau sử dụng công cụ mô phỏng Mininet. Kết quả cho thấy môi trường mô phỏng ảnh hưởng đến thời gian thực thi mô hình mạng
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Tsuchiya, Akihiro, Francisco Fraile, Ichiro Koshijima, Angel Ortiz, and Raul Poler. "Software defined networking firewall for industry 4.0 manufacturing systems." Journal of Industrial Engineering and Management 11, no. 2 (April 6, 2018): 318. http://dx.doi.org/10.3926/jiem.2534.
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Purpose: In order to leverage automation control data, Industry 4.0 manufacturing systems require industrial devices to be connected to the network. Potentially, this can increase the risk of cyberattacks, which can compromise connected industrial devices to acquire production data or gain control over the production process. Search engines such as Sentient Hyper-Optimized Data Access Network (SHODAN) can be perverted by attackers to acquire network information that can be later used for intrusion. To prevent this, cybersecurity standards propose network architectures divided into several networks segments based on system functionalities. In this architecture, Firewalls limit the exposure of industrial control devices in order to minimize security risks. This paper presents a novel Software Defined Networking (SDN) Firewall that automatically applies this standard architecture without compromising network flexibility. Design/methodology/approach: The proposed SDN Firewall changes filtering rules in order to implement the different network segments according to application level access control policies. The Firewall applies two filtering techniques described in this paper: temporal filtering and spatial filtering, so that only applications in a white list can connect to industrial control devices. Network administrators need only to configure this application-oriented white lists to comply with security standards for ICS. This simplifies to a great extent network management tasks. Authors have developed a prototype implementation based on the OPC UA Standard and conducted security tests in order to test the viability of the proposal.Findings: Network segmentation and segregation are effective counter-measures against network scanning attacks. The proposed SDN Firewall effectively configures a flat network into virtual LAN segments according to security standard guidelines.Research limitations/implications: The prototype implementation still needs to implement several features to exploit the full potential of the proposal. Next steps for development are discussed in a separate section.Practical implications: The proposed SDN Firewall has similar security features to commercially available application Firewalls, but SDN Firewalls offer additional security features. First, SDN technology provides improved performance, since SDN low-level processing functions are much more efficient. Second, with SDN, security functions are rooted in the network instead of being centralized in particular network elements. Finally, SDN provides a more flexible and dynamic, zero configuration framework for secure manufacturing systems by automating the rollout of security standard-based network architectures. Social implications: SDN Firewalls can facilitate the deployment of secure Industry 4.0 manufacturing systems, since they provide ICS networks with many of the needed security capabilities without compromising flexibility. Originality/value: The paper proposes a novel SDN Firewall specifically designed to secure ICS networks. A prototype implementation of the proposed SDN Firewall has been tested in laboratory conditions. The prototype implementation complements the security features of the OPC UA communication standard to provide a holistic security framework for ICS networks.
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Elloumi Zitouna, Imene. "Learning-based Orchestrator for Intelligent Software-defined Networking Controllers." International Journal of Software Engineering & Applications 11, no. 6 (November 30, 2020): 17–30. http://dx.doi.org/10.5121/ijsea.2020.11602.
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This paper presents an overview of our learning-based orchestrator for intelligent Open vSwitch that we present this using Machine Learning in Software-Defined Networking technology. The first task consists of extracting relevant information from the Data flow generated from a SDN and using them to learn, to predict and to accurately identify the optimal destination OVS using Reinforcement Learning and QLearning Algorithm. The second task consists to select this using our hybrid orchestrator the optimal Intelligent SDN controllers with Supervised Learning. Therefore, we propose as a solution using Intelligent Software-Defined Networking controllers (SDN) frameworks, OpenFlow deployments and a new intelligent hybrid Orchestration for multi SDN controllers. After that, we feeded these feature to a Convolutional Neural Network model to separate the classes that we’re working on. The result was very promising the model achieved an accuracy of 72.7% on a database of 16 classes. In any case, this paper sheds light to researchers looking for the trade-offs between SDN performance and IA customization.
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Savaliya, Abhishek, Rutvij H. Jhaveri, Qin Xin, Saad Alqithami, Sagar Ramani, and Tariq Ahamed Ahanger. "Securing industrial communication with software-defined networking." Mathematical Biosciences and Engineering 18, no. 6 (2021): 8298–313. http://dx.doi.org/10.3934/mbe.2021411.
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<abstract> <p>Industrial Cyber-Physical Systems (CPSs) require flexible and tolerant communication networks to overcome commonly occurring security problems and denial-of-service such as links failure and networks congestion that might be due to direct or indirect network attacks. In this work, we take advantage of Software-defined networking (SDN) as an important networking paradigm that provide real-time fault resilience since it is capable of global network visibility and programmability. We consider OpenFlow as an SDN protocol that enables interaction between the SDN controller and forwarding plane of network devices. We employ multiple machine learning algorithms to enhance the decision making in the SDN controller. Integrating machine learning with network resilience solutions can effectively address the challenge of predicting and classifying network traffic and thus, providing real-time network resilience and higher security level. The aim is to address network resilience by proposing an intelligent recommender system that recommends paths in real-time based on predicting link failures and network congestions. We use statistical data of the network such as link propagation delay, the number of packets/bytes received and transmitted by each OpenFlow switch on a specific port. Different state-of-art machine learning models has been implemented such as logistic regression, K-nearest neighbors, support vector machine, and decision tree to train these models in normal state, links failure and congestion conditions. The models are evaluated on the Mininet emulation testbed and provide accuracies ranging from around 91–99% on the test data. The machine learning model with the highest accuracy is utilized in the intelligent recommender system of the SDN controller which helps in selecting resilient paths to achieve a better security and quality-of-service in the network. This real-time recommender system helps the controller to take reactive measures to improve network resilience and security by avoiding faulty paths during path discovery and establishment.</p> </abstract>
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Kaliyamurthy, Nitheesh Murugan, Swapnesh Taterh, and Suresh Shanmugasundaram. "Software Defined Networking – Imposed Security Measures Over Vulnerable Threats and Attacks." International Journal of Applied Metaheuristic Computing 10, no. 4 (October 2019): 60–67. http://dx.doi.org/10.4018/ijamc.2019100104.
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Software defined networking (SDN), a new attempt in addressing the existing challenges in the legacy network architecture, is lime-lighted due to its simplified approach in managing the networks and its capability of programmability. In progressing with software defined networks implementation, security remains a high priority focus. The advantage of SDN itself opens a wide ground in posing new security threats and challenges. Focusing on the security of the SDN is a prime factor as it reflects on the growth of SDN technology implementation. This article focuses on the various existing security solutions available for SDN and the real challenge in securing the SDN providing the researchers a paved platform to work on further securing the networks. This article is designed with an introduction on SDN, its architecture, the available security solutions for the network, the leveraging threats and type of attack possibilities in SDN. This article concludes with the requirements of security factors and schemes in SDN.
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Bakhshi, Taimur. "State of the Art and Recent Research Advances in Software Defined Networking." Wireless Communications and Mobile Computing 2017 (2017): 1–35. http://dx.doi.org/10.1155/2017/7191647.
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Emerging network services and subsequent growth in the networking infrastructure have gained tremendous momentum in recent years. Application performance requiring rapid real-time network provisioning, optimized traffic management, and virtualization of shared resources has induced the conceptualization and adoption of new networking models. Software defined networking (SDN), one of the predominant and relatively new networking paradigms, seeks to simplify network management by decoupling network control logic from the underlying hardware and introduces real-time network programmability enabling innovation. The present work reviews the state of the art in software defined networking providing a historical perspective on complementary technologies in network programmability and the inherent shortcomings which paved the way for SDN. The SDN architecture is discussed along with popular protocols, platforms, and existing simulation and debugging solutions. Furthermore, a detailed analysis is presented around recent SDN development and deployment avenues ranging from mobile communications and data centers to campus networks and residential environments. The review concludes by highlighting implementation challenges and subsequent research directions being pursued in academia and industry to address issues related to application performance, control plane scalability and design, security, and interdomain connectivity in the context of SDN.
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Cheng, Chien-Fu, Jerry Chun-Wei Lin, Gautam Srivastava, and Chu-Chiao Hsu. "Reaching Consensus with Byzantine Faulty Controllers in Software-Defined Networks." Wireless Communications and Mobile Computing 2021 (April 12, 2021): 1–9. http://dx.doi.org/10.1155/2021/6662175.
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The combination of the Internet of Things (IoT) and Cloud computing are both popular applications that are based on the Internet. However, the traditional networking structure can no longer support the transmission of the huge number of packets required by cloud computing and IoT. Therefore, a new-generation architecture, software-defined networking (SDN), came into being. The new-generation SDN can control routing through software, making flexible and convenient management a key feature of SDN. However, attacks and threats are prevalent in today’s networking environment. When an SDN controller encounters a hacker attack or virus infection, it will not function properly. Hence, we need to design a fault-tolerant mechanism for the above environment. In this paper, a fault-tolerant consensus protocol is proposed to improve the fault tolerance of SDNs with multiple controllers.
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Zhang, Ting, and Bin Liu. "Exposing End-to-End Delay in Software-Defined Networking." International Journal of Reconfigurable Computing 2019 (March 4, 2019): 1–12. http://dx.doi.org/10.1155/2019/7363901.
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Software-Defined Networking (SDN) shows us a promising picture to deploy the demanding services in a fast and cost-effective way. Till now, most SDN use cases are deployed in enterprise/campus networks and data center networks. However, when applying SDN to the large-scale networks, such as Wide Area Network (WAN), the end-to-end delay of packet traversal is suspected to be very large and needs to be further investigated. Moreover, stringent time constraint is the cornerstone for real-time applications in SDN. Understanding the packet delay in SDN-based large networks is crucial for the proper design of switch architecture and the optimization of network algorithms such as flow control algorithms. In this paper, we present a thorough systematic exploration on the end-to-end delay in SDN which consists of multiple nodes, fully exposing the components which contribute to the long delay. We disclose that SDN switches cannot completely avoid the generation of flow setup even in proactive mode and conduct data mining on the probability of flow setup. We propose an analytical model for the end-to-end delay. This model takes into account the impact of the different rule installation time consumption on different switches. Considering the delay in switches contributes a large proportion to the entire delay, we conduct various measurements on the delay of a single switch. Results for the delay at different flow setup rates and with different rule priority patterns are presented. Furthermore, we study the impact on packet delay caused by ternary content addressable memory (TCAM) update. We measure parameters in the delay model and find that if SDN is deployed in all segments of WAN, the delay of packet traversal will be increased up to 27.95 times in the worst case in our experimental settings, compared with the delay in conventional network. Such high delay may eventually lead the end-to-end connections fail to complete if no additional measures are taken.
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Pinheiro, Billy, Eduardo Cerqueira, and Antonio Abelem. "NVP: A Network Virtualization Proxy for Software Defined Networking." International Journal of Computers Communications & Control 11, no. 5 (September 1, 2016): 697. http://dx.doi.org/10.15837/ijccc.2016.5.2681.
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The combination of Network Function Virtualization (NFV) and Software Defined Networking (SDN) can improve the control and utilization of network resources. However, this issue still requires proper solutions to virtualize large-scale networks, which would allow the use of SDN and Virtualization in real environments.Thus, this paper proposes a virtualization architecture for SDN that relies on a proxy-based approach. The NVP (Network Virtualization Proxy) is a virtualization proxy that intercepts messages exchanged between controllers and switches SDN enabling network virtualization. An implementation of the proposal was developed as a proof of concept and load testing was performed showing that the solution can provide network virtualization in a scalable manner, using less than 2.5 MB of memory to manage 100 switches performing simultaneous requests, whereas FlowVisor requires more than 200 MB.
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Manoranjitham, T., K. Sai Vijaya Kumar, and B. Varshith. "Study of Application of Software Defined Network to Real Networks." International Journal of Engineering & Technology 7, no. 3.12 (July 20, 2018): 854. http://dx.doi.org/10.14419/ijet.v7i3.12.16550.
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This paper presents the application of Software Defined Network to Real Networks. Software Defined Networking is an intriguing concept in the networking and communication industry which provides various uses, from productive network operations to reduced costs in the networking field. The SDN architecture provides the network administrators to implement new network services and easy management of the network .This operation is done by separating the data plane and control plane that makes decision .The data plane forwards packet and control plane manages traffic. In this paper we are studying the application of SDN to Real Networks such as SDN for Internet of Things, Artificial Intelligence, 5G Networks, Wireless Networks.
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Papavassiliou, Symeon. "Software Defined Networking (SDN) and Network Function Virtualization (NFV)." Future Internet 12, no. 1 (January 2, 2020): 7. http://dx.doi.org/10.3390/fi12010007.
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The role of Software Defined Networking (SDN) and Network Function Virtualization (NFV) have been instrumental in realizing the transition and vision “from black boxes to a white box towards facilitating 5G network architectures”. Though significant research results and several deployments have occurred and realized over the last few years focusing on the NFV and SDN technologies, several issues—both of theoretical and practical importance—remain still open. Accordingly, the papers of this special issue are significant contributions samples within the general ecosystem highlighted above, ranging from SDN and NFV architectures and implementations, to SDN-NFV integration and orchestration approaches, while considering issues associated with optimization, network management and security aspects. In particular, a total of nine excellent articles (one review and eight original research articles) have been accepted, following a rigorous review process, and addressing many of the aforementioned challenges and beyond.
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Nagarjuna Reddy, Tella, and K. Annapurani Panaiyappan. "Intrusion Detection on Software Defined Networking." International Journal of Engineering & Technology 7, no. 3.12 (July 20, 2018): 330. http://dx.doi.org/10.14419/ijet.v7i3.12.16052.
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Software Defined Networking and programmability on network have established themselves as current trends in IT by bringing autonomous operation with dynamic flow to network. Networks must be programmable, and it must be aware of the application in order to operate autonomously. Networks need to evolve to catch up with the current trends without losing their current status and operation, reliability, robustness, or security, and without distorting current investments. SDN is a transpiring network architecture where network control plane is distinguished from data plane and by that the network is directly programmable. This control, was initially bound in every network devices, enabled in the network to be abstracted for applications and services. Security is a major challenge for organizational and campus networks. The future of Internet depends on virtualization which is to provide numerous networks hosted the same physical hardware. This proposal takes a great advantage of the programmability provided by SDN to utilize Intrusion Detection System.
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Rana, Deepak Singh, Shiv Ashish Dhondiyal, and Sushil Kumar Chamoli. "Software Defined Networking (SDN) Challenges, issues and Solution." International Journal of Computer Sciences and Engineering 7, no. 1 (January 31, 2019): 884–89. http://dx.doi.org/10.26438/ijcse/v7i1.884889.
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Shahid, Adnan, Jinan Fiaidhi, and Sabah Mohammed. "Implementing Innovative Routing Using Software Defined Networking (SDN)." International Journal of Multimedia and Ubiquitous Engineering 11, no. 2 (February 28, 2016): 159–72. http://dx.doi.org/10.14257/ijmue.2016.11.2.17.
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LI, DAWEI, JIE WU, DAJIN WANG, and JIAYIN WANG. "Software-Defined Networking Switches for Fast Single-Link Failure Recovery." Journal of Interconnection Networks 18, no. 04 (December 2018): 1850014. http://dx.doi.org/10.1142/s0219265918500147.
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In this paper, we consider IP fast recovery from single-link failures in a given network topology. The basic idea is to replace some existing routers with a designated switch. When a link fails, the affected router will send all the affected traffic to the designated switch (through pre-configured IP tunnels), which will deliver the affected traffic to its destination without using the failed link. The goal of the approach is to achieve faster failure recovery than traditional routing protocols that employ reactive computing upon link failures. Software-Defined Networking (SDN) switches can serve as the designated switches because they can flexibly redirect affected traffic to other routes, instead of only to the shortest paths in the network. However, SDN switches are very expensive. Our objective is to minimize the number of SDN switches needed and to guarantee that the network can still recover from any single-link failure. For networks with uniform link costs, we show that using normal non-SDN switches with IP tunneling capability as designated switches can guarantee recovery from any single-link failure. For networks with general link costs, we find that not all single-link failures can be recovered by using non-SDN switches as designated switches; by using SDN switches only when necessary, we can reduce the total number of SDN switches needed compared to an existing work. We conduct extensive simulations to verify our proposed approaches.
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Wytrębowicz, Jacek, Thorsten Ries, Khoa Truong Dinh, and Sławomir Kukliński. "SDN Controller Mechanisms for Flexible and Customized Networking." International Journal of Electronics and Telecommunications 60, no. 4 (December 23, 2014): 299–307. http://dx.doi.org/10.2478/eletel-2014-0039.
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Abstract Software-Defined Networking (SDN) is seen as the most promising networking technology today. The spread of a new technology depends on the acceptance of the engineers implementing the networks. Typically, when engineers start the conceptualization of new network devices that work with a new paradigm, and that should provide expected business values, they must identify and utilize technical enablers for the defined business use cases. This paper tries to summarize essential SDN applications and defines the technical enablers for advanced and efficient SDN networking. To this end, we identify the core technical mechanisms, expecting to provide a useful analysis for the design of new SDN networks.
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Waseem, Quadri, Sultan S. Alshamrani, Kashif Nisar, Wan Isni Sofiah Wan Din, and Ahmed Saeed Alghamdi. "Future Technology: Software-Defined Network (SDN) Forensic." Symmetry 13, no. 5 (April 28, 2021): 767. http://dx.doi.org/10.3390/sym13050767.
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The software-defined networking (SDN) paradigm has recently emerged as a trend to build various protocols, develop more reliable networks, enhance the data flow controlling, and provide security in a much simpler and flexible way. SDN helps to ease management and handle asymmetric connectivity across various nodes. It solves the problems of network and cloud security and hence provides the best solution for the safety of data on the network. Therefore, we feel the urge to research more and provide the basics of SDN forensics, mention its advantages in network especially in the cloud, and present its elaborate prospects in context with Network Forensic (NF) and Cloud Forensic (CF). In this research article, we explained in detail the NF and CF with emphasis on Network security (NS) and Cloud Security (CS). The paper also provided the various security approaches and categories. Then, an overview of the software-defined networking (SDN) is mentioned. We also discussed the use of SDN in Network Forensic and Cloud Forensic. Furthermore, to aid the SDN forensic, we presented the advantages, challenges, and issues along with future research directions of SDN in network forensic and cloud forensic, and at last, we thus express and explore the need for security in forensic based on the SDN paradigm in the form of a set of suggested recommendations.
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Numan, Paulson Eberechukwu, Kamaludin Mohamad Yusof, Muhammad Nadzir Bin Marsono, Sharifah Kamilah Syed Yusof, Mohd Husaini Bin Mohd Fauzi, Salawu Nathaniel, Elizabeth N. Onwuka, and Muhammad Ariff Bin Baharudin. "On the latency and jitter evaluation of software defined networks." Bulletin of Electrical Engineering and Informatics 8, no. 4 (December 1, 2019): 1507–16. http://dx.doi.org/10.11591/eei.v8i4.1578.
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Conventional networking devices require that each is programmed with different rules to perform specific collective tasks. Next generation networks are required to be elastic, scalable and secured to connect millions of heterogeneous devices. Software defined networking (SDN) is an emerging network architecture that separates control from forwarding devices. This decoupling allows centralized network control to be done network-wide. This paper analyzes the latency and jitter of SDN against a conventional network. Through simulation, it is shown that SDN has an average three times lower jitter and latency per packet that translate to improved throughput under varying traffic conditions.
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Amalia, Riski, Toibah Umi Kalsum, and Riska Riska. "Analisis dan Implementasi Software Defined Networking (SDN) untuk Automasi Perangkat Jaringan." Infotek : Jurnal Informatika dan Teknologi 4, no. 2 (July 31, 2021): 312–22. http://dx.doi.org/10.29408/jit.v4i2.3734.
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This study aims to build a network automation infrastructure by implementing a Software Defined Networking (SDN)-based web application to facilitate network administrators in implementing a web-based controller system for network devices by optimizing the configuration, management and operation time of network devices. This research uses action research method. In the action research method, researchers can describe, interpret and explain a condition at the same time as carrying out interventions aimed at improvement or participation. The results of this study indicate that the design and implementation of a Software Defined Networking (SDN)-based web application for network device automation using the python programming language with the paramiko library and the django framework can be applied to network infrastructure, so that with the application of SDN on network device automation applications can perform controllers. centralized network devices, so that configurations of many routers can be optimally carried out on a single Software Defined Networking (SDN) based web application
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Badotra, Sumit, and S. N. Panda. "A REVIEW ON SOFTWARE-DEFINED NETWORKING ENABLED IOT CLOUD COMPUTING." IIUM Engineering Journal 20, no. 2 (December 2, 2019): 105–26. http://dx.doi.org/10.31436/iiumej.v20i2.1130.
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Making use of Internet of Things (IoT) is becoming the necessity of today’s life. The data collected and stored through IoT devices comes from the cloud and therefore cloud computing is acting as a backbone for supporting IoT. But it is easy to forget that the cloud is not completely digital in some areas of the world and there is a need for a data centre where data storage can be achieved. Cloud data centres are facing many difficulties and issues because they are using traditional methods of networking. This is where Software Defined Networking (SDN) has come into view; where it has changed the way traditional networks are operated. For example, the separation of the intelligence of the network devices within the data path can be useful in making networks agile and manageable. This paper aims to provide problem areas in the networking used by the cloud data centres and the role of SDN to overcome these issues. Platforms for providing the experimental setup for collaboration between SDN and cloud will ultimately be beneficial in setting up the SDN- enabled IoT cloud, and this is also discussed with the open research problems.
ABSTRAK: Penggunaan Internet Benda (IoT) menjadi keperluan kepada kehendak hari ini. Data yang dikumpul dan disimpan melalui peranti IoT berasal dari awan dan oleh itu pengkomputeran awan bertindak sebagai tulang belakang bagi menyokong IoT. Tetapi, satu perkara yang dilupakan adalah bahawa awan itu tidak sepenuhnya digital, di suatu tempat dalam dunia ini, terdapat keperluan pada pusat data di mana penyimpanan data boleh dicapai. Pusat data awan menghadapi banyak masalah dan isu kerana ianya menggunakan kaedah rangkaian tradisional. Di sinilah Perisian Definisi Perangkaian (SDN) dipandang; ia telah mengubah cara rangkaian tradisional dikendalikan. Sebagai contoh, pemisahan kecerdasan peranti rangkaian dengan laluan data berguna bagi membuat rangkaian pintar dan boleh diurus. Kajian ini bertujuan bagi menyediakan ruang masalah dalam rangkaian yang digunakan oleh pusat Data Awan dan peranan SDN dalam mengatasi masalah ini. Platform persediaan eksperimen bagi kerjasama SDN dan awan akhirnya bermanfaat dalam menubuhkan pengaktifan-SDN awan IOT, juga turut dibincangkan dalam kajian ini berkenaan masalah penyelidikan terbuka.
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Prasad, B. V. V. S., and Sd Salman Ali. "Software – defined networking based secure rout-ing in mobile ad hoc network." International Journal of Engineering & Technology 7, no. 1.2 (December 28, 2017): 229. http://dx.doi.org/10.14419/ijet.v7i1.2.9288.
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Traditional communication networks can be leveraged by separating controlling functions from forwarding functions using emerging technology known as Software Defined Networking (SDN). Though SDN has been around for some years, it was mostly limited to wired networks. Of late, it is being adapted to wireless networks. The programmable interface with decoupled controller can be used with MANET to integrate with other networks besides controlling it well. Both control and security are inevitable for the successful implementation of SDN in wireless networks. Towards this end, in this paper we implemented SDN based MANET for secure routing. Open Flow is used for implementing SDN controller while IDC is used for securing communications. Our framework is evaluated with NS3 simulations that reveal significant performance improvement when compared with traditional ad hoc networks that do not use SDN. This is achieved as SDN controller can quickly adapt to changed topologies due to node mobility.
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Ali, Jehad, Gyu-min Lee, Byeong-hee Roh, Dong Kuk Ryu, and Gyudong Park. "Software-Defined Networking Approaches for Link Failure Recovery: A Survey." Sustainability 12, no. 10 (May 22, 2020): 4255. http://dx.doi.org/10.3390/su12104255.
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Deployment of new optimized routing rules on routers are challenging, owing to the tight coupling of the data and control planes and a lack of global topological information. Due to the distributed nature of the traditional classical internet protocol networks, the routing rules and policies are disseminated in a decentralized manner, which causes looping issues during link failure. Software-defined networking (SDN) provides programmability to the network from a central point. Consequently, the nodes or data plane devices in SDN only forward packets and the complexity of the control plane is handed over to the controller. Therefore, the controller installs the rules and policies from a central location. Due to the central control, link failure identification and restoration becomes pliable because the controller has information about the global network topology. Similarly, new optimized rules for link recovery can be deployed from the central point. Herein, we review several schemes for link failure recovery by leveraging SDN while delineating the cons of traditional networking. We also investigate the open research questions posed due to the SDN architecture. This paper also analyzes the proactive and reactive schemes in SDN using the OpenDayLight controller and Mininet, with the simulation of application scenarios from the tactical and data center networks.
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Alssaheli, Omran M. A., Z. Zainal Abidin, N. A. Zakaria, and Z. Abal Abas. "Implementation of Network Traffic Monitoring using Software Defined Networking Ryu Controller." WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL 16 (May 25, 2021): 270–77. http://dx.doi.org/10.37394/23203.2021.16.23.
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Network traffic monitoring is vital for enhancing the overall network performance and for optimizing the traffic flows. However, an emerging growth of use in cloud services, internet-of-things, block-chain and data analytics, demand the hardware-based-network-controller to provide more features for expanding network architecture. Therefore, Software Defined Networking (SDN) offers a new solution in terms of scalability, usability and programmable software-based-network-controller for the legacy network infrastructure. In fact, SDN provides a dynamic platform for the network traffic monitoring using international standard. In this study, SDN setup and installation method uses a Mininet emulator containing a controller Ryu with switching hub component, OpenFlow switches, and nodes. The number of nodes is adding until reaches to 16 nodes and evaluated through different network scenarios (single, linear and tree topology). Findings show that the single topology gives a winning criterion compared to other topologies. SDN implementation is measured with performance parameters such as Throughput, Jitter, Bandwidth and Round-Trip Time between scenarios using the Ryu controller. Future research explores on the performance of SDN in larger network and investigates the efficiency and effectiveness of SDN implementation in mesh topology.
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Santos, Ricardo, Konstantin Koslowski, Julian Daube, Hakim Ghazzai, Andreas Kassler, Kei Sakaguchi, and Thomas Haustein. "mmWave Backhaul Testbed Configurability Using Software-Defined Networking." Wireless Communications and Mobile Computing 2019 (April 8, 2019): 1–24. http://dx.doi.org/10.1155/2019/8342167.
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Future mobile data traffic predictions expect a significant increase in user data traffic, requiring new forms of mobile network infrastructures. Fifth generation (5G) communication standards propose the densification of small cell access base stations (BSs) in order to provide multigigabit and low latency connectivity. This densification requires a high capacity backhaul network. Using optical links to connect all the small cells is economically not feasible for large scale radio access networks where multiple BSs are deployed. A wireless backhaul formed by a mesh of millimeter-wave (mmWave) links is an attractive mobile backhaul solution, as flexible wireless (multihop) paths can be formed to interconnect all the access BSs. Moreover, a wireless backhaul allows the dynamic reconfiguration of the backhaul topology to match varying traffic demands or adaptively power on/off small cells for green backhaul operation. However, conducting and precisely controlling reconfiguration experiments over real mmWave multihop networks is a challenging task. In this paper, we develop a Software-Defined Networking (SDN) based approach to enable such a dynamic backhaul reconfiguration and use real-world mmWave equipment to setup a SDN-enabled mmWave testbed to conduct various reconfiguration experiments. In our approach, the SDN control plane is not only responsible for configuring the forwarding plane but also for the link configuration, antenna alignment, and adaptive mesh node power on/off operations. We implement the SDN-based reconfiguration operations in a testbed with four nodes, each equipped with multiple mmWave interfaces that can be mechanically steered to connect to different neighbors. We evaluate the impact of various reconfiguration operations on existing user traffic using a set of extensive testbed measurements. Moreover, we measure the impact of the channel assignment on existing traffic, showing that a setup with an optimal channel assignment between the mesh links can result in a 44% throughput increase, when compared to a suboptimal configuration.
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Dawadi, Babu Ram, Danda Bahadur Rawat, and Shashidhar R. Joshi. "Software Defined IPv6 Network: A New Paradigm for Future Networking." Journal of the Institute of Engineering 15, no. 2 (July 31, 2019): 1–13. http://dx.doi.org/10.3126/jie.v15i2.27636.
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Recent advancement in the field of Information and Communication Technology (ICT) has encouraged all stakeholders to move towards the new networking paradigm. Internet Protocol version 6 (IPv6) addressing, Software Defined Network (SDN) and Network Function Virtualization (NFV) are regarded as technologies for enhancing network efficiency and effectiveness. However, the technology migration becomes one of the central challenges for the stakeholders such as service providers, end users, and regulatory bodies. This is more challenging in case of developing countries due to lack of sufficient cost and skilled human resources. In this paper, we provide an overview and survey of SDN and IPv6 networking technologies, their benefits and future challenges. Then we introduce Software Defined IPv6 (SoDIP6) network as a next generation networking technologies and their unified approach of deployment over the Tier-3 ISPs of the developing nations that could help for speedy and smooth migration with optimized cost. The demonstrated superior features of SDN enabled IPv6 network from different perspectives with its contributions to green ICT are recognized as the networks of the future generation in the networking world.
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Tang, Tuan Anh, Lotfi Mhamdi, Des McLernon, Syed Ali Raza Zaidi, Mounir Ghogho, and Fadi El Moussa. "DeepIDS: Deep Learning Approach for Intrusion Detection in Software Defined Networking." Electronics 9, no. 9 (September 19, 2020): 1533. http://dx.doi.org/10.3390/electronics9091533.
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Software Defined Networking (SDN) is developing as a new solution for the development and innovation of the Internet. SDN is expected to be the ideal future for the Internet, since it can provide a controllable, dynamic, and cost-effective network. The emergence of SDN provides a unique opportunity to achieve network security in a more efficient and flexible manner. However, SDN also has original structural vulnerabilities, which are the centralized controller, the control-data interface and the control-application interface. These vulnerabilities can be exploited by intruders to conduct several types of attacks. In this paper, we propose a deep learning (DL) approach for a network intrusion detection system (DeepIDS) in the SDN architecture. Our models are trained and tested with the NSL-KDD dataset and achieved an accuracy of 80.7% and 90% for a Fully Connected Deep Neural Network (DNN) and a Gated Recurrent Neural Network (GRU-RNN), respectively. Through experiments, we confirm that the DL approach has the potential for flow-based anomaly detection in the SDN environment. We also evaluate the performance of our system in terms of throughput, latency, and resource utilization. Our test results show that DeepIDS does not affect the performance of the OpenFlow controller and so is a feasible approach.
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Hoang, Doan. "Software Defined Networking – Shaping up for the next disruptive step?" Australian Journal of Telecommunications and the Digital Economy 3, no. 4 (December 29, 2015): 48. http://dx.doi.org/10.18080/ajtde.v3n4.28.
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Software-Defined Networking (SDN) has emerged as a networking paradigm that can remove the limitations of current network infrastructures by separating the control plane from the data forwarding plane. As an immediate result, networks can be managed cost effectively and autonomously through centralising the decision-making capability at the control plane and the programmability of network devices on the data plane. This allows the two planes to evolve independently and open up separate horizontal markets on simplified network devices and programmable controllers. More importantly, it opens up markets for infrastructure providers to provision and offer network resources on-demand to multiple tenants and for service providers to develop and deploy their services on shared infrastructure resources cost-effectively. This paper provides an essential understanding of the SDN concept and architecture. It discusses the important implications of the control/data plane separation on network devices, management and applications beyond the scope of the original SDN. It also discusses two major issues that may help to bring the disruptive technology forward: the intent northbound interface and the cost-effective SDN approaches for the industry.
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Hoang, Doan. "Software Defined Networking – Shaping up for the next disruptive step?" Journal of Telecommunications and the Digital Economy 3, no. 4 (December 29, 2015): 48–62. http://dx.doi.org/10.18080/jtde.v3n4.28.
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Software-Defined Networking (SDN) has emerged as a networking paradigm that can remove the limitations of current network infrastructures by separating the control plane from the data forwarding plane. As an immediate result, networks can be managed cost effectively and autonomously through centralising the decision-making capability at the control plane and the programmability of network devices on the data plane. This allows the two planes to evolve independently and open up separate horizontal markets on simplified network devices and programmable controllers. More importantly, it opens up markets for infrastructure providers to provision and offer network resources on-demand to multiple tenants and for service providers to develop and deploy their services on shared infrastructure resources cost-effectively. This paper provides an essential understanding of the SDN concept and architecture. It discusses the important implications of the control/data plane separation on network devices, management and applications beyond the scope of the original SDN. It also discusses two major issues that may help to bring the disruptive technology forward: the intent northbound interface and the cost-effective SDN approaches for the industry.
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Saleh, Zahraa, and Qahhar Qadir. "The Downside of Software-Defined Networking in Wireless Network." UKH Journal of Science and Engineering 4, no. 2 (December 31, 2020): 147–56. http://dx.doi.org/10.25079/ukhjse.v4n2y2020.pp147-156.
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Mobile traffic volumes have grown exponentially because of the increase in services and applications. Traditional networks are complex to manage because the forwarding, control, and management planes are all bundled together and, thus, administrators are supposed to deploy high-level policies, as each vendor has its own configuration methods. Software-Defined Networking (SDN) is considered the future paradigm of communication networks. It decouples control logic from its underlying hardware, thereby promoting logically centralized network control and making the network more programmable and easy to configure. Low-power wireless technologies are moving toward a multitenant and multiapplication Internet of Things (IoT), which requires an architecture with scalable, reliable, and configured solutions. However, employing an SDN-based centralized architecture in the environment of a low-power wireless IoT network introduces significant challenges, such as difficult-to-control traffic, unreliable links, network contention, and high associated overheads that can significantly affect the performance of the network. This paper is a contribution toward a performance evaluation for the use of SDN in wireless networking by evaluating the latency, packet drop ratio (PDR), data extraction rate (DER), and overheads. The results show that SDN adds a high percentage of overheads to the network, which is about 43% of the 57% user packets, and the DER drops when the number of mesh nodes are increased, in addition to the high loss that was observed for packets that traveled over more hops.
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Shrivastava, Gourav, Praveen Kaushik, and R. K.Pateriya. "Load balancing strategies in software defined networks." International Journal of Engineering & Technology 7, no. 3 (August 22, 2018): 1854. http://dx.doi.org/10.14419/ijet.v7i3.14017.
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In the past few years, network requirements have been changing frequently as the amount of data traffic increasing exponentially so it is difficult to utilize the full capacity of network resources. Software Defined Networking (SDN) is emerging as a new networking technology which decouples the control plane from the data plane in the network devices. Separation of control and data plane allows a network administrator a better control over network management and also enables new development through network programmability. Presently Open-Flow is the most popular SDN protocol which provides communication between network devices and controller. In this paper, the Round Robin algorithm is compared with the Dynamic load balancing algorithm using the OpenFlow protocol in SDN under varying load conditions of TCP and UDP traffic. Experimental analysis shows that the dynamic load balancing strategy works better than the Round Robin load balancing.
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Hoque, Mohammad Ashraful, MD Shibli Mollah, and MD Razu. "Feasibility Analysis of the Algorithms: Secured and Efficient Routing Path Update in Software Defined Networking (SDN)." International Journal on Recent and Innovation Trends in Computing and Communication 7, no. 6 (July 4, 2019): 59–64. http://dx.doi.org/10.17762/ijritcc.v7i6.5325.
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Software-defined networking is the talk of the town in today’s networking industry. Because of the limitations of traditional networking, SDN is getting more popular every year. Lots of researches are taking place to improve the efficiency and overcome the challenges of SDN though it has many advantages. Hence one key problem of SDN is the network update. If the route update does not perform well, it causes congestion and inconsistencies in the network system whereas bandwidth utilization and security is our main concern. We have compared two pre-built algorithms especially for routing path update and proposed a new algorithm with maximum security and loop-free network.
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Medlin Benisha, Y. R. "An Extensive Review on Software Defined Networking (SDN) Technologies." DJ Journal of Advances in Electronics and Communication Engineering 2, no. 1 (January 29, 2016): 1–9. http://dx.doi.org/10.18831/djece.org/2016011001.
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Barrera Pérez, Miguel Ángel, Neider Yampol Serrato Losada, Elisa Rojas Sánchez, and Giovani Mancilla Gaona. "State of the art in software defined networking (SDN)." Visión electrónica 13, no. 1 (January 31, 2019): 178–94. http://dx.doi.org/10.14483/22484728.14424.
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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.
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Abuarqoub, Abdelrahman. "A Review of the Control Plane Scalability Approaches in Software Defined Networking." Future Internet 12, no. 3 (March 11, 2020): 49. http://dx.doi.org/10.3390/fi12030049.
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Recent advances in information and communications cloud-based services hold the potential to overcome the scalability and complex maintenance limitations of traditional networks. Software Defined Networking (SDN) surfaced as a promising paradigm to mitigate such limitations while offering flexible networks management. Particularly, SDN separates the control plane from the data plane to achieve abstraction of lower-level functionality, hence, allowing more efficient network management and utilization. However, SDN suffers from various performance and scalability problems leading to significant research efforts on maximizing the scalability of the control plane. This paper aims at reviewing different SDN controller scalability, topology-based and mechanism-based approaches, as well as discussing and analyzing how they attempt to solve the scalability challenge. Furthermore, this paper elaborates on the promising research trends and challenges. Our insights are also discussed to stimulate further research efforts addressing the control plane scalability in SDN.
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Muluye, Worku. "A Review on Software-Defined Networking Distributed Controllers." International Journal of Engineering and Computer Science 9, no. 2 (February 15, 2020): 24953–61. http://dx.doi.org/10.18535/ijecs/v9i2.4439.
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A computer network is a critical issue in our day to day activity; however, today it works under various problems. Since in the current network architecture the control plane and data plane are vertically bundled on the same device. To solve this problem programmable Software-Defined Network is released. OpenFlow is a protocol that vertically separates control plane and data plane of the network devices. In SDN the controllers are the brains of the network that controls the network devices. Today’s network required successful integration of distributed controllers to make the network more consistent. SDN distributed controller is a controller that we can add or remove the controllers according to the number of devices change. Distributed controller architecture has investigated and compared the 6 recent distributed controllers by using 26 criteria. Orion is the first best controller and ONOS is the second best controller.
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Wibowo, Franciscus Xaverius Ari, and Mark A. Gregory. "Bandwidth Update Impact in Multi-Domain Software Defined Networking." International Journal of Information, Communication Technology and Applications 3, no. 1 (December 25, 2017): 1–14. http://dx.doi.org/10.17972/ijicta20173140.
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The rapid growth of data transmission over digital networks, especially of delay sensitive traffic, has meant that research into improved networking has increased. Network domain boundaries are key points in the network where service provisioning, flow control, and management occur between organizations. This paper presents a flexible automated approach that utilizes Software Defined Networking (SDN) to carry out provisioning, control and management functions at domain boundaries. We propose a multi-domain SDN provisioning framework and a domain boundary bandwidth update algorithm to improve link performance between domains. Simulations were carried out using data captured from a carrier to enterprise network link. The simulation results show that the proposed algorithm provides improved service fulfillment, lower packet loss probability and higher benefit-to-cost ratio compared to other approaches.
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Latah, Majd, and Levent Toker. "A novel intelligent approach for detecting DoS flooding attacks in software-defined networks." International Journal of Advances in Intelligent Informatics 4, no. 1 (March 31, 2018): 11. http://dx.doi.org/10.26555/ijain.v4i1.138.
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Software-Defined Networking (SDN) is an emerging networking paradigm that provides an advanced programming capability and moves the control functionality to a centralized controller. This paper proposes a two-stage novel intelligent approach that takes advantage of the SDN approach to detect Denial of Service (DoS) flooding attacks based on calculation of packet rate as the first step and followed by Support Vector Machine (SVM) classification as the second step. Flow concept is an essential idea in OpenFlow protocol, which represents a common interface between an SDN switch and an SDN controller. Therefore, our system calculates the packet rate of each flow based on flow statistics obtained by SDN controller. Once the packet rate exceeds a predefined threshold, the system will activate the packet inspection unit, which, in turn, will use the (SVM) algorithm to classify the previously collected packets. The experimental results showed that our system was able to detect DoS flooding attacks with 96.25% accuracy and 0.26% false alarm rate.