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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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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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Yan, Nan, and Ping Zhang. "Software defined network intrusion detection in wireless sensor network." MATEC Web of Conferences 232 (2018): 04062. http://dx.doi.org/10.1051/matecconf/201823204062.
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Software Defined Network (SDN) realizes the separation of control functions from data planes and network programming. It lays the foundation for centralized and refined control and has greater advantages over traditional networks. At present, the research on SDN mainly focuses on wired network and data center, while software definition is proposed in some studies, but only in the stages of models and concepts. According to the characteristics of wireless sensor networks, this paper takes anomaly intrusion detection as the main research content. The sensor network is defined based on OpenFlow software combined with SDN, and intrusion detection technology is studies on the basis of this. It is easier for the system to control the network and its resources in SDN architecture. The Network traffic shows self-similarity in large time scale. In this paper, it can distinguish between the normal situation and the attack by observing the change of the self-similarity coefficient of the network, so as to realize the intrusion detection.
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Hussain, Mudassar, Nadir Shah, Rashid Amin, Sultan S. Alshamrani, Aziz Alotaibi, and Syed Mohsan Raza. "Software-Defined Networking: Categories, Analysis, and Future Directions." Sensors 22, no. 15 (July 25, 2022): 5551. http://dx.doi.org/10.3390/s22155551.
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Software-defined networking (SDN) is an innovative network architecture that splits the control and management planes from the data plane. It helps in simplifying network manageability and programmability, along with several other benefits. Due to the programmability features, SDN is gaining popularity in both academia and industry. However, this emerging paradigm has been facing diverse kinds of challenges during the SDN implementation process and with respect to adoption of existing technologies. This paper evaluates several existing approaches in SDN and compares and analyzes the findings. The paper is organized into seven categories, namely network testing and verification, flow rule installation mechanisms, network security and management issues related to SDN implementation, memory management studies, SDN simulators and emulators, SDN programming languages, and SDN controller platforms. Each category has significance in the implementation of SDN networks. During the implementation process, network testing and verification is very important to avoid packet violations and network inefficiencies. Similarly, consistent flow rule installation, especially in the case of policy change at the controller, needs to be carefully implemented. Effective network security and memory management, at both the network control and data planes, play a vital role in SDN. Furthermore, SDN simulation tools, controller platforms, and programming languages help academia and industry to implement and test their developed network applications. We also compare the existing SDN studies in detail in terms of classification and discuss their benefits and limitations. Finally, future research guidelines are provided, and the paper is concluded.
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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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Jararweh, Yaser, Mahmoud Al-Ayyoub, Ahmad Doulat, Ahmad Al Abed Al Aziz, Haythem A. Bany Salameh, and Abdallah A. Khreishah. "Software Defined Cognitive Radio Network Framework." International Journal of Grid and High Performance Computing 7, no. 1 (January 2015): 15–31. http://dx.doi.org/10.4018/ijghpc.2015010102.
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Software defined networking (SDN) provides a novel network resource management framework that overcomes several challenges related to network resources management. On the other hand, Cognitive Radio (CR) technology is a promising paradigm for addressing the spectrum scarcity problem through efficient dynamic spectrum access (DSA). In this paper, the authors introduce a virtualization based SDN resource management framework for cognitive radio networks (CRNs). The framework uses the concept of multilayer hypervisors for efficient resources allocation. It also introduces a semi-decentralized control scheme that allows the CRN Base Station (BS) to delegate some of the management responsibilities to the network users. The main objective of the proposed framework is to reduce the CR users' reliance on the CRN BS and physical network resources while improving the network performance by reducing the control overhead.
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Yu, Yi Fan, Yong Li, and De Peng Jin. "Dynamical Traffic Engineering in Software-Defined Network." Applied Mechanics and Materials 610 (August 2014): 954–58. http://dx.doi.org/10.4028/www.scientific.net/amm.610.954.
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Software-Defined Networks (SDN), as newly proposed network architecture, has a great potential in optimizing network traffics. In SDN, the control plane is separated from the data plane. With the help of the centralized controller, we can gather information of the network in real time. In this work, we propose a practical two-stage approach for traffic engineering that takes advantages of SDN. The approach not only assures every newly injected flow gets a suitable route that does not have too much payload on it, but also schedules the overall flows so that they are distributed more equally in the network. Furthermore, we demonstrate its efficiency in terms of port speed and compared it with port speed under the default routing decision. We also use linear programming to find the optimal solution and compare it with our result.
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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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Al-Mashadani, Abdulrahman Khalid Abdullah, and Muhammad Ilyas. "Distributed Denial of Service Attack Alleviated and Detected by Using Mininet and Software Defined Network." Webology 19, no. 1 (January 20, 2022): 4129–44. http://dx.doi.org/10.14704/web/v19i1/web19272.
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The network security and how to keep it safe from malicious attacks now days is attract huge interest of the developers and cyber security experts (SDN) Software- Defined Network is simple framework for network that allow programmability and monitoring that enable the operators to manage the entire network in a consistent and comprehensive manner also used to detect and alleviate the DDoS attacks the SDN now is the trending of network security evolution there many threats that faces the networks one of them is the distributed Denial of Service (DDoS) because of the architecture weakness in traditional network SDN use new architecture and the point of power in it is the separation of control and data plane the DDoS attack prevent the users from access into resource of the network or make huge delays in the network this paper shows the impact of DDoS attacks on SDN, and how to use SDN applications written in Python and by using OpenFlow protocol to automatically detect and resist attacks with average time to response to the attack between 95-145 second.
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Czachórski, Tadeusz, Erol Gelenbe, Godlove Suila Kuaban, and Dariusz Marek. "Time-Dependent Performance of a Multi-Hop Software Defined Network." Applied Sciences 11, no. 6 (March 10, 2021): 2469. http://dx.doi.org/10.3390/app11062469.
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It has been recently observed that Software Defined Networks (SDN) can change the paths of different connections in the network at a relatively frequent pace to improve the overall network performance, including delay and packet loss, or to respond to other needs such as security. These changes mean that a network that SDN controls will seldom operate in steady state; rather, the network may often be in transient mode, especially when the network is heavily loaded and path changes are critically important. Hence, we propose a transient analysis of such networks to better understand how frequent changes in paths and the switches’ workloads may affect multi-hop networks’ performance. Since conventional queueing models are difficult to solve for transient behaviour and simulations take excessive computation time due to the need for statistical accuracy, we use a diffusion approximation to study a multi-hop network controlled by SDN. The results show that network optimization should consider the transient effects of SDN and that transients need to be included in the design of algorithms for SDN controllers that optimize network performance.
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Vineetha, B., and M. Sumana. "Software Defined Networks—A Network Programme and Its Dynamic Services." Journal of Computational and Theoretical Nanoscience 17, no. 9 (July 1, 2020): 3927–33. http://dx.doi.org/10.1166/jctn.2020.8990.
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As network component is increasing, the managing and controlling systems from a central based control system becomes very complex. The technology used to resolve this is called Software Defined Networks (SDN) which helps to manage and control the system through programs. SDN stands as a developing technique that divides single network as data and control plane. The benefit of SDN are provides more performance, managing the packet flow through diverse dealer’s organization components. The complexities continued to raise when implementing network services both from technical and organizational views. Here in this paper generally focuses on how organizations can deal with the challenge of introducing service chaining and developing critical network services by using the technology SDN and also delivering diverse services of network to user in one system thus customers can fulfill their desire of services based on requests. The “Service Function Chaining” facility of SDN provides services like Load Balancing, Video Optimizing and Firewall.
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Safrianti, Ery, Linna Oktaviana Sari, and Rian Arighi Mahan. "Optimization of Universitas Riau Data Network Management Using Software Defined Network (SDN)." International Journal of Electrical, Energy and Power System Engineering 2, no. 3 (October 9, 2019): 10–14. http://dx.doi.org/10.31258/ijeepse.2.3.10-14.
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Computer networks are one of the main parts in the telecommunications system. To support reliable network technology, a centralized network is needed so that network traffic can be managed more easily. Software-Defined Network (SDN) technology is a centralized network that provides a separation between control planes and data planes in different systems. This study discusses the optimization of network management at the University of Riau (UNRI) using SDN. Optimization is done by designing a UNRI computer network in the form of SDN then simulated using the Mininet. Quality of Service (QoS) analysis is performed from the measurement results using Wireshark. The network simulation results give a delay value of 0.506 ms, 0% packet loss, the throughput of 590,392 Mb / s and jitter of 0.093 ms. The SDN network provides better delay and jitter performance compared to conventional UNRI networks with a delay value of 13,874 ms, 0% packet loss, 635.1 Mb/s throughput and 2.6 ms jitter. UNRI's SDN network design is worth considering because it has better QoS values, delay, and jitter below ITU standards and conventional networks.
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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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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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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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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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Petukhov, Andrey N., and Paul L. Pilyugin. "”Common Criteria” and Software Defined Network Security." Modeling and Analysis of Information Systems 26, no. 1 (March 15, 2019): 134–45. http://dx.doi.org/10.18255/1818-1015-2019-1-134-145.
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«Common criteria» (ISO 15408) is a universally recognized and broadly applicable approach to information security solutions management and evaluation. «Common criteria» leans on developing a shared conceptual basis for key security solution modules including protection profiles and security targets. Conceptual basis development implies defining the following elements: security objectives and assumptions (for the environment and the object), threats and security policies, as well as functional and assurance requirements. The specifics of SDN (software defined network) security solutions is largely driven by fundamental architectural principles of SDN technology itself − primarily by the separation of control and data flows, − and by conditions imposed by Open Flow protocol application. However, proactive (threats and policies), passive (objectives and assumptions) and reactive (requirements) aspects of security management remain highly relevant for this type of security solutions. This paper discusses the Common Criteria application specifics for assessing the SDN security and practical MTUCI (Moscow Technical University of Communications and Informatics) experience in the development of the protection profile. A new class of network attacks on SDN switches and controllers can involve either data or control components. In addition to traditional vulnerabilities, centralization of management functions paves way for new security threats by isolating controller activity and administrative message exchange. Therefore, identifying and analyzing threats, policies and requirements specific to SDN control module security becomes an emerging priority.
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Ammal, R. Ananthalakshmi, Sajimon PC, and Vinodchandra SS. "Termite inspired algorithm for traffic engineering in hybrid software defined networks." PeerJ Computer Science 6 (August 17, 2020): e283. http://dx.doi.org/10.7717/peerj-cs.283.
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In the era of Internet of Things and 5G networks, handling real time network traffic with the required Quality of Services and optimal utilization of network resources is a challenging task. Traffic Engineering provides mechanisms to guide network traffic to improve utilization of network resources and meet requirements of the network Quality of Service (QoS). Traditional networks use IP based and Multi-Protocol Label Switching (MPLS) based Traffic Engineering mechanisms. Software Defined Networking (SDN) have characteristics useful for solving traffic scheduling and management. Currently the traditional networks are not going to be replaced fully by SDN enabled resources and hence traffic engineering solutions for Hybrid IP/SDN setups have to be explored. In this paper we propose a new Termite Inspired Optimization algorithm for dynamic path allocation and better utilization of network links using hybrid SDN setup. The proposed bioinspired algorithm based on Termite behaviour implemented in the SDN Controller supports elastic bandwidth demands from applications, by avoiding congestion, handling traffic priority and link availability. Testing in both simulated and physical test bed demonstrate the performance of the algorithm with the support of SDN. In cases of link failures, the algorithm in the SDN Controller performs failure recovery gracefully. The algorithm also performs very well in congestion avoidance. The SDN based algorithm can be implemented in the existing traditional WAN as a hybrid setup and is a less complex, better alternative to the traditional MPLS Traffic Engineering setup.
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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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Leiter, Ákos, Mohamad Saleh Salah, László Pap, and László Bokor. "Survey on PMIPv6-based Mobility Management Architectures for Software-Defined Networking." Infocommunications journal 14, no. 2 (2022): 2–18. http://dx.doi.org/10.36244/icj.2022.2.1.
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Software-Defined Networking (SDN) has changed the network landscape. Meanwhile, IP-based mobility management still evolves, and SDN affects it dramatically. Integrating Proxy Mobile IPv6 (PMIPv6) – a network-based mobility management protocol – with the SDN paradigm has created several promising approaches. This paper will present an extensive survey on the joint research area of PMIPv6 and SDN mobility management by detailing the available SDN-integrated network-based techniques and architectures that intend to accelerate handover and mitigate service disruption of mobility events in softwareized telecommunication networks. The article also provides an overview of where PMIPv6 can be used and how SDN may help reach those ways.
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Malik, Ali, Ruairí de Fréin, and Benjamin Aziz. "Rapid Restoration Techniques for Software-Defined Networks." Applied Sciences 10, no. 10 (May 14, 2020): 3411. http://dx.doi.org/10.3390/app10103411.
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There is increasing demand in modern day business applications for communication networks to be robust and reliable due to the complexity and critical nature of such applications. As such, data delivery is expected to be reliable and secure even in the harshest of environments. Software-Defined Networking (SDN) is gaining traction as a promising approach for designing network architectures which are robust and flexible. One reason for this is that separating the data plane from the control plane, increases the controller’s ability to configure the network rapidly. When network failure events occur, the network manager may trade-off the optimality of the achieved network reconfiguration with the responsivenss of the reconfiguration process. Responsiveness may be favoured when the network resources are under stress and the failure rate is high. We contribute SDN recovery methods that leverage information about the structure of the network to expedite network restoration when a link failure occurs. They operate by detecting community-like structures in the network topology and then they find alternative paths which have low operation and installation costs using this information. Extensive simulations are conducted to evaluate the proposed SDN recovery methods using open-source simulation tools. They provide evidence that the proposed approaches lead to performance gains when an alternative path is required among a set of candidate paths.
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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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Gull, Mawra, and Jasdeep Singh. "Convergence Time Monitoring Algorithm in Hybrid Software Defined Networks." International Journal of Computer Science and Mobile Computing 10, no. 8 (August 30, 2021): 23–31. http://dx.doi.org/10.47760/ijcsmc.2021.v10i08.004.
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Network consummation especially dependent on traffic monitoring. Therefore, Software Defined Network (SDN) technology is submitted to support the flow control suitable monitoring by providing a global view of the network. Unfortunately, replacing the entire traditional network to SDN is complex, which leads to the need of SDN switches deployment to the current network. Thus, a hybrid network environment has emerged which consists of centralized controller, SDN switch and legacy routers. Hence, the advantage of the integration of traditional network and SDN will take place. The controller can collect SDN data instantly, while it waits for a long time to obtain the legacy network data. On the other hand, the rest of paths cannot be processed directly by the controller. Therefore, legacy path load data is estimated for the past time to support the controller for obtaining the current data. The convergence time of the proposed algorithm takes more convergence time than the full SDN by only 12%. Therefore, the proposed algorithm provides installing the minimum possible number of SDN switches that reduce the infrastructure cost.
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Hadi Saleh, Hassan, Israa Adnan Mishkal, and Dheyab Salman Ibrahim. "Controller placement problem in software defined networks." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 3 (September 1, 2022): 1704. http://dx.doi.org/10.11591/ijeecs.v27.i3.pp1704-1711.
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<span>The requirements <span>for the network are increasing by the expanding and spreading the Internet. The Previous techniques of the network do not meet the modern needs, thus, a new technical presents software-defined networking (SDN). SDN recognizes as a promising new model that separates the control plane (traffic routing and network topology) from the data plane (network architecture layers). The architecture of SDN has some features that find in a single controller or many controllers instance of programmable, flexible, and scalable. In the current SDN, multiple controllers are essential. Therefore, the optimal number of the controllers and their locations is the most significant challenge, known as the controller placement problem (CPP). It deploys the optimal number of controllers within the network while meeting presentations requirements considered conflicting in nature example: credibility, load balancing, latency, energy efficiency, and computation time. Many studies researched the ways to develop solutions for improving scalability, place selection for SDN. This paper presents the CPP and gives a comprehensive review of SDN issues based on the recent well-known research to extract available solution strategies. Finally, it discusses the limitations and future study directions that can support researchers in this field.</span></span>
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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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Ghafoor, Huma, and Insoo Koo. "Cognitive Routing in Software-Defined Maritime Networks." Wireless Communications and Mobile Computing 2020 (November 21, 2020): 1–15. http://dx.doi.org/10.1155/2020/8820838.
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Due to the constantly changing sea surface, there is a high risk of link fragility caused by sea waves when different marine users are intended to establish stable links for communication. To ensure stability with less delay, finding a stable route is one of the crucial aspects of maritime networks. In order to achieve this aim, we propose a routing protocol for cognitive maritime networks based on software-defined networking (SDN). This SDN-based cognitive routing protocol provides stable routes among different marine users. To provide the global view of the whole network, a main controller is placed close to the seashore, whereas the localized views are provided by the cluster heads. Autonomous surface vehicles are used as gateways under sparse network conditions to collect and transport data among clusters, and to and from the main controller. This is an SDN-based ship-to-ship communication scheme where two ships can only establish a link when they not only have consensus about a common idle channel but are also within the communication range of each other. We perform extensive simulations to test the proposed scheme with different parameters and find better performance in comparison with both SDN-based and non-SDN-based schemes in terms of end-to-end delay, packet delivery ratio, and routing overhead ratio.
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Mayilsamy, Jayaprakash, and Devi Priya Rangasamy. "Enhanced Routing Schedule - Imbalanced Classification Algorithm for IOT based Software Defined Networks." International Academic Journal of Science and Engineering 8, no. 1 (February 1, 2021): 01–09. http://dx.doi.org/10.9756/iajse/v8i1/iajse0801.
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Route scheduling optimization is important in SDN network. The SDN network needs the best solution for route optimization. Limited networking of software is the most interesting development in this field as it is important to provide a fast and reliable routing path based on its need. The IoT supports software defined applications interface in the overall networks. The SDN is recommended by enhancing the SDN architecture's benefits in improving research network quality. SDN network information exchange is one of the most important factor. It is important to plan the information accordingly and adjust a load of information to the SDN. A Maximum throughput scheduling process is proposed, which is upgraded using the Imbalanced Classification Algorithm. SDN has shown the advantage in many ways compared to the traditional network. But the problem of load inconstancy still occurs in SDN. The imbalanced classification method supports the maximum throughput schedule function and integrates load balancing strategies to improve SDN networks' Performance. Classification is to be proposed based on machine command in QoS. An imbalanced classification learning method is used for improving the QoS requirements and shows that the simulated results of the identified traffic load balance and maximum throughputs in the proposed solutions. Functionality has been improved much better than previous functions in the same area.
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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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Alam, Tanweer, and Mohammed Aljohani. "Software Defined Networks: Review and Architecture." IAIC Transactions on Sustainable Digital Innovation (ITSDI) 1, no. 2 (March 24, 2020): 143–51. http://dx.doi.org/10.34306/itsdi.v1i2.114.
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In the fifth-generation communication system, secured and reliable data packets will rely on the network with high availability and low latency. The 5G network enables the dynamic control of nodes with low latency. Ultra-reliability is one of the challenging tasks in software-defined networks. The ultra-reliability feature is an interface working with high availability and low latency that brings in fifth-generation networks. The Internet of Things will work in the societies so that it required ultra-reliability features to empower the peoples as well as machines for collaborating with their neighbors. The connections among ultra-reliability networks are extremely hard situations to keep low packets corruption. The Software Defined Networks (SDN) will provide a platform for measuring, controlling, monitoring and scaling the smart objects in reality or virtually. Virtualization enables IT, specialists, to combine or separate the considerable networking or create new programmable networking among virtual machines. In this article, the authors are reviewed the architecture of SDN based on virtualization under the umbrella of 5G networks.
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Nugroho, Herry Prasetyo, Muhammad Irfan, and Amrul Faruq. "Software Defined Networks: a Comparative Study and Quality of Services Evaluation." Scientific Journal of Informatics 6, no. 2 (December 1, 2019): 181–92. http://dx.doi.org/10.15294/sji.v6i2.20585.
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Software-Defined Network (SDN) as architecture network that separates the control and forwarding functions, so that network operators and administrators can configure the networks in a simple and centrally between thousands of devices. This study is designed and evaluate the Quality of Services (QoS) performances between the two networks employed SDN-based architecture and without SDN-based. MinNet as a software emulator used as a data plane in the network Software Define Network. In this study, comparison of the value of the QoS on the network based on Software Defined Network and traditional network during the test run from the source node is investigated. Network testing by using traffic loads. Traffic loads are used starting from 20Mbps-100Mbps. The result is verified that the QoS analysis of the Software-Defined Network architecture performed better than conventional network architectures. The value of the latency delay on the Software Define Network range between 0,019-0,084ms, and with 0% packet loss when addressed the network traffics of 10-100Mbps.
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Anggraini, Mokhammad Aguk Nur, and I. Made Suartana. "Performa Clustering Controller pada Arsitektur Software Defined Network." Journal of Informatics and Computer Science (JINACS) 2, no. 01 (October 1, 2020): 1–8. http://dx.doi.org/10.26740/jinacs.v2n01.p1-8.
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Abstrak -- Software Defined Network (SDN) saat ini telah menjadi sebuah paradigma baru dalam teknologi jaringan karena kemampuan manajemen jaringannya yang secara terpusat serta arsitektur yang berbasis software dan programmable. Dalam implementasinya, SDN memisahkan antara control plane dan data plane, control plane dilakukan oleh controller dan data plane dilakukan oleh switch. Controller menjadi pusat kontrol dari sebuah jaringan SDN, dengan begitu beban semua kontrol jaringan berada pada controller. Semakin besar jaringan yang ditangani oleh suatu controller mengakibatkan semakin besar beban controller tersebut, yang berakibat juga pada performa jaringan, sehingga perlu adanya solusi untuk dapat mengurangi beban jaringan yang ditangani controller agar performa jaringan tetap terjaga bahkan menjadi lebih baik. Pada penelitian ini dilakukan clustering-controller dengan menggunakan 3 controller, 1 sebagai master controller dan 2 sebagai slave controller, dengan begitu beban jaringan dapat dibagi pada 3 controller. Uji coba pada penelitian ini menggunakan Open daylight sebagai controller. Dari hasil pengujian end-to-end QoS yang telah dilakukan menggunakan parameter throughput, delay, jitter dan packet poss menunjukkan bahwa jaringan SDN dengan clustering controller lebih baik dari pada jaringan SDN yang menggunakan single-controller dan multi-controller tanpa clustering. Pengujian dilakukan dengan variasi ukuran paket UDP sebesar 100Mb-15Gb. Rata-rata keseluruhan hasil pengujian parameter throughput, delay, jitter dan packet loss dari clustering-controller berturut-turut yaitu 12762,14Kbps, 16,954ms, 3,142ms, dan 0,08%. Sedangkan pada jaringan dengan multi-controller tanpa clustering yaitu 12327,80Kbps, 205,828ms, 16,968ms dan 2,21%, dan hasil pada jaringan dengan single-controller yaitu 12331,93Kbps, 207,087ms, 15,691ms dan 2,19%.
Kata Kunci— Software Defined Network(SDN), Controller, Clustering-Controller, OpenDayLight.
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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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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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Daneshmand, B. "Analysis of modern standard application methods of software-defined network in 5G/IMT-2020." Quality. Innovation. Education, no. 1 (2021): 68–83. http://dx.doi.org/10.31145/1999-513x-2021-1-67-82.
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The paper considers the application of SDN technology in 5G / IMT-2020 networks, namely, answers to the questions: What is SDN technology used for in 5G / IMT-2020 networks? How is SDN technology used in 5G / IMT-2020 networks? , What is the role of SDN technology in 5G / IMT-2020 networks ?, What are the functions of SDN technology in 5G / IMT-2020 networks? and the like. But before that, it describes what SDN is and what 5G / IMT-2020 is. The paper describes and analyzes the methods of using SDN technology in fifth generation networks in terms of the function and role that SDN plays in these networks. Usually in the literature, this information exists in a scattered form, and sometimes some methods of application are either very superficially described, or not described at all, or they are tied to other methods. The aim of the work is to identify and analyze well-established methods of using SDN in 5G / IMT-2020 networks. To identify SDN applications in 5G / IMT-2020 networks, SDN architecture, SDN benefits, overall 5G / IMT-2020 network architecture, 5G / IMT-2020 standards and requirements, network protocols were studied and analyzed 5G / IMT-2020, some existing and future likely 5G / IMT-2020 network services, general concepts of some future networks such as tactile internet, internet skills, model networks, etc. The paper provides a radial diagram of the ways (options) of using SDN in 5G / IMT-2020 and describes each option.
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Perepelkin, D. A., and V. T. Nguyen. "RESEARCH OF LOAD BALANCING PROCESSES IN SOFTWARE-DEFINED NETWORKS BASED ON GENETIC ALGORITHM." Vestnik of Ryazan State Radio Engineering University 77 (2021): 43–57. http://dx.doi.org/10.21667/1995-4565-2021-77-43-57.
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As a new network paradigm, software-defined networks (SDN) are able to cope with the limitations of traditional networks. SDNs use a management controller with a global view of the network and switching devices that act as packet forwarding equipment, known as «OpenFlow switches». Network resources limitations and ensuring quality of service requirements lead to an important need for load balancing between SDN switches. The purpose of work research and analysis of load balancing processes in SDN based on genetic algorithm. To confirm the effectiveness and correctness of the genetic algorithm in SDN, the software for modeling the load balancing processes has been developed. The simulation results confirmed the efficiency of the genetic algorithm in SDN for balancing and redistributing network traffic in order to ensure the required quality of service and reduce network congestion.
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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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Bayu, Teguh Indra, and Etvan Ewaldo Tahan. "SOFTWARE DEFINED NETWORK (SDN) SIMULATION CONCEPT USING RASPBERRY PI." Jurnal Terapan Teknologi Informasi 2, no. 2 (October 5, 2018): 1–11. http://dx.doi.org/10.21460/jutei.2018.22.100.
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In school environment, office, company or society, needs a computer network which uses for supporting every users’ working and to communicate each other. However, it makes some users who are not responsible could able to disturb communication security system data in networking. Security system is needed to avoid the problems. Access Control List (ACL) can be an alternative to secure a computer network. By applying Software Defined Network (SDN) concept which is based on management concept of centralized network use software. It focus on how applying ACL in infrastructure network SDN use Raspberry Pi as an openflow switch. The decisive element of an infrastructure network SDN is a controller, an openflow switch, and network device would connect one network to the other network by using Openflow protocol. From the research which is conducted SDN concept, ACL able to applied using flow-control method. It gives some clear value on flow-control, so the restriction access can be done in every network device which is connected in infrastructure network SDN.
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Elzain and Wu. "Software Defined Wireless Mesh Network Flat Distribution Control Plane." Future Internet 11, no. 8 (July 25, 2019): 166. http://dx.doi.org/10.3390/fi11080166.
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Wireless Mesh Networks (WMNs), have a potential offering relatively stable Internet broadband access. The rapid development and growth of WMNs attract ISPs to support users’ coverage anywhere anytime. To achieve this goal network architecture must be addressed carefully. Software Defined Networking (SDN) proposes new network architecture for wired and wireless networks. Software Defined Wireless Networking (SDWN) has a great potential to increase efficiency, ease the complexity of control and management, and accelerate technology innovation rate of wireless networking. An SDN controller is the core component of an SDN network. It needs to have updated reports of the network status change, as in network topology and quality of service (QoS) in order to effectively configure and manage the network it controls. In this paper, we propose Flat Distributed Software Defined Wireless Mesh Network architecture where the controller aggregates entire topology discovery and monitors QoS properties of extended WMN nodes using Link Layer Discovery Protocol (LLDP) protocol, which is not possible in multi-hop ordinary architectures. The proposed architecture has been implemented on top of POX controller and Advanced Message Queuing Protocol (AMQP) protocol. The experiments were conducted in a Mininet-wifi emulator, the results present the architecture control plane consistency and two application cases: topology discovery and QoS monitoring. The current results push us to study QoS-routing for video streaming over WMN.
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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.
Full textAbstract:
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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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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Jeyasekar, A., Siddharth Nanda, and Annie Uthra. "Green SDN: Trends of Energy Conservation in Software Defined Network." International Journal of Engineering & Technology 7, no. 3.12 (July 20, 2018): 9. http://dx.doi.org/10.14419/ijet.v7i3.12.15853.
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Because of the exponential growth of the data in the Internet, storing and computing the data become a challenging issue. Therefore the data center networks are used to provide the infrastructure for storing and computing the data. Most of the network devices present in the data center network is comparatively idle for most of the time and resulting in a waste of energy. To overcome it, the Software Defined Network is proposed which allows the administrators to manage the network devices using a centralized controller and enables programmable network devices. It optimizes the utilization of network resources efficiently and results in significant amount of energy saving. There are several approaches proposed for optimizing the energy in the Software Defined Network which takes a network towards green energy and lower carbon print. This paper presents a survey on energy conservation techniques used in the software defined networks which makes the networks more capable and productive. We also provide a brief comparison of possible energy conservation techniques and guidelines for future research.
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Su, Shang-Chiuan, Yi-Ren Chen, Shi-Chun Tsai, and Yi-Bing Lin. "Detecting P2P Botnet in Software Defined Networks." Security and Communication Networks 2018 (2018): 1–13. http://dx.doi.org/10.1155/2018/4723862.
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Software Defined Network separates the control plane from network equipment and has great advantage in network management as compared with traditional approaches. With this paradigm, the security issues persist to exist and could become even worse because of the flexibility on handling the packets. In this paper we propose an effective framework by integrating SDN and machine learning to detect and categorize P2P network traffics. This work provides experimental evidence showing that our approach can automatically analyze network traffic and flexibly change flow entries in OpenFlow switches through the SDN controller. This can effectively help the network administrators manage related security problems.
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S., BÎRLEANU. "Software Defined (SDN) Based Internet of Things (IoT) networks." Scientific Bulletin of Naval Academy XXIV, no. 1 (July 15, 2021): 103–10. http://dx.doi.org/10.21279/1454-864x-21-i1-012.
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The exponential growth of IoT devices connected to the Internet has led to the need to develop a new technology for managing them. The challenges posed by the implementation of IoT networks have emerged in the control and management of IoT applications and networks that become difficult to maintain, the programming of IoT devices. In addition, IoT devices are not designed to allow centralized management and control. Things get even more complicated when the IoT administrator has to manually configure all distributed IoT devices to add each new feature to the network. Software-Defined Networking - SDN solves existing network-level problems by providing the ability to build increasingly complex IoT-based systems in a simpler and more flexible manner. The paper aims to detail the evolution of SDN and IoT networks and an analysis of the benefits and challenges of SDN and IoT integration.
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Guidara, Amine, Saúl E. Pomares Hernández, Lil María X. Rodríguez Henríquez, Hatem Hadj Kacem, and Ahmed Hadj Kacem. "Towards Causal Consistent Updates in Software-Defined Networks." Applied Sciences 10, no. 6 (March 19, 2020): 2081. http://dx.doi.org/10.3390/app10062081.
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A network paradigm called the Software-Defined Network (SDN) has recently been introduced. The idea of SDN is to separate the control logic from forwarding devices to enable a centralized control platform. However, SDN is still a distributed and asynchronous system: events can be triggered by any network entity, while messages and packets are prone to arbitrary and unpredictable transmission delays. Moreover, the absence of a global temporal reference results in a broad combinatorial range space of event order. During network updates, an out-of-order execution of events may result in a deviation from desirable consistent network update properties, leading, for example, to forwarding loops and forwarding black holes, among others. In this paper, we introduce a study of the Transient Forwarding Loop (TFL) phenomenon during SDN updates; for this, we define a formal model of the TFL based on causal dependencies that capture the conditions under which it may occur. Based on this model, we introduce an algorithm that ensures the causal dependencies of the system oriented toward TFL-free SDN updating. We formally prove that it is sufficient to ensure the causal dependencies in order to guarantee TFL-free network updates. Finally, we analytically evaluate our algorithm and discuss how it outperforms the state-of-the-art in terms of updating overhead.
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Tulloh, Rohmat. "Analisis Performansi VLAN Pada Jaringan Software Defined Network (SDN)." JURNAL INFOTEL 9, no. 4 (November 8, 2017): 406. http://dx.doi.org/10.20895/infotel.v9i4.319.
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Software defined network (SDN) adalah sebuah paradigma baru dalam dunia jaringan yang mampu memusatkan fungsi beberapa control plane pada layer 2 maupun di layer 3 secara terprogram, hal tersebut menyebabkan jaringan akan bersifat lebih fleksibel dan terskala. Dengan jumlah pertumbuhan pengguna internet yang semakin tinggi maka hal tersebut akan berbanding lurus terhadap kompleksitas dari jaringan internet itu sendiri. Sehingga paradigma SDN ini menjadi salah satu solusi yang muncul. Penerapan Virtual Local Area Network (VLAN) pada jaringan tradisional telah menjadi hal yang penting dan banyak diterapkan. Fungsi VLAN adalah untuk membatasi broadcast trafik dari suatu host, sehingga hanya dapat mengirim data kepada VLAN ID yang sama. Penelitian ini menganalisis performansi VLAN di jaringan SDN. Terjadi penurunan angka jumlah paket yang dapat terkirim (data transfer) dan nilai throughput pada sebuah VLAN ID karena terdapat pengaruh dari VLAN ID yang berbeda. Pada pengujian membandingkan VLAN dengan non VLAN over Netwok Functions Virtualization (NFV) didapatkan bahwa nilai data transfer dan throughput yang diperoleh pada VLAN lebih besar. Hasil analisis dari seluruh pengujian penambahan traffic terlihat bahwa kinerja VLAN pada SDN akan membebani kinerja jaringan pada VLAN yang berbeda
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Liang, Geng, and Wen Li. "A novel industrial control architecture based on Software-Defined Network." Measurement and Control 51, no. 7-8 (July 2, 2018): 360–67. http://dx.doi.org/10.1177/0020294018784310.
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Traditionally, routers and other network devices encompass both data and control functions in most large enterprise networks, making it difficult to adjust the network infrastructure and operation to large-scale addition of end systems, virtual machines, and virtual networks in industrial comprehensive automation. A network organizing technique that has come to recent prominence is the Software-Defined Network (SDN). A novel SDN based industrial control network (SDNICN) was proposed in this paper. Intelligent network components are included in a SDNICN. Switches in SDNICN provided fundamental network interconnection for the whole industrial control network. Network controller is used for data transmission, forwarding and routing control between different layers. Service Management Center (SMC) is essentially responsible for managing various services used in industrial process control. SDNICN can not only greatly improve the flexibility and performance of industrial control network but also meet the intelligence and informatization of the future industry.
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Kanivets, Z., and A. Vybornova. "A SURVEY ON MACHINE LEARNING ALGORITHMS FOR SOFTWARE-DEFINED NETWORKS." Telecom IT 9, no. 3 (December 15, 2021): 11–21. http://dx.doi.org/10.31854/2307-1303-2021-9-3-11-21.
Full textAbstract:
With the advent of the concept of Software-Defined Networks with a centralized control plane, it became possible to collect a huge amount of information about the network, for example,
network topology, network congestion, the state of network devices. This data can be used to train machine learning algorithms. Moreover, these algorithms can be applied for completely different purposes, such as traffic classification, quality of service, optimization of traffic transmission routes, resource management, and security. Research subject of this article consist on the different aspects of SDN operating that can be optimized with ML. Research method is an analysis of the literature on the subject. Core results are analysis and classification of the areas and methods of the ML algorithms implementation for the SDN. Practical relevance of the work is that the results can be used for optimization of different SDN characteristics.
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Liu, Lan, Ryan K. L. Ko, Guangming Ren, and Xiaoping Xu. "Malware Propagation and Prevention Model for Time-Varying Community Networks within Software Defined Networks." Security and Communication Networks 2017 (2017): 1–8. http://dx.doi.org/10.1155/2017/2910310.
Full textAbstract:
As the adoption of Software Defined Networks (SDNs) grows, the security of SDN still has several unaddressed limitations. A key network security research area is in the study of malware propagation across the SDN-enabled networks. To analyze the spreading processes of network malware (e.g., viruses) in SDN, we propose a dynamic model with a time-varying community network, inspired by research models on the spread of epidemics in complex networks across communities. We assume subnets of the network as communities and links that are dense in subnets but sparse between subnets. Using numerical simulation and theoretical analysis, we find that the efficiency of network malware propagation in this model depends on the mobility rate q of the nodes between subnets. We also find that there exists a mobility rate threshold qc. The network malware will spread in the SDN when the mobility rate q>qc. The malware will survive when q>qc and perish when q<qc. The results showed that our model is effective, and the results may help to decide the SDN control strategy to defend against network malware and provide a theoretical basis to reduce and prevent network security incidents.
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Albert Lysko, Joyce Mwangama, and Lusani Mamushiane. "Controller placement optimization for Software Defined Wide Area Networks (SDWAN)." ITU Journal on Future and Evolving Technologies 2, no. 1 (March 15, 2021): 45–66. http://dx.doi.org/10.52953/puiu5171.
Full textAbstract:
Software Defined Networking (SDN) has emerged as a promising solution to revolutionize network deployment, operations and economic growth. This paradigm aims to address management and configuration complexities in legacy networks so as to reduce the total cost associated with deploying and running telecommunication infrastructures. At the heart of SDN is a controller which oversees orchestration of resources. An important problem that must be addressed during the initial design of an SDN-based network deployment is to find the optimal number of controllers and their locations, to achieve desired operational efficiency. This problem constitutes competing objectives such as latency, load balancing, and reliability. We apply Silhouette Analysis, Gap Statistics and the Partition Around Medoids (PAM) algorithms and, unlike previous work, we add a new method for solving the controller placement problem using an emulation orchestration platform. Our approach aims to optimize controller-to-node latency, alleviate control-plane signalling overhead and ensure control-plane resiliency. Our results for South African national research network (SANReN) reveal that deploying two controllers yields the lowest latency, reduces control-plane signalling overhead and guarantees control-plane resiliency. Our approach can be used by network operators as a guideline to start integrating SDN or plan a new SDN deployment, by helping them make quick automatic decisions regarding optimal controller placement.