Software-Defined Networking (SDN) and 5G Network: The Role of Controller Placement for Scalable Control Plane

2020 ◽  
Author(s):  
Sharifah K. Syed-Yusof ◽  
Paulson Eberechukwu Numan ◽  
Kamaludin Mohamad Yusof ◽  
Jafri Bin Din ◽  
Muhammad Nadzir Bin Marsono ◽  
...  
Keyword(s):  
Software Defined Networking ◽  
Control Plane ◽  
5G Network ◽  
Controller Placement

scholarly journals Load Balancing in Software-Defined Networking using Controller Placement

2020 ◽  
Author(s):  
Hamid Nejadnik ◽  
Rasool Sadeghi ◽  
Sayed Mahdi Faghih Imani
Keyword(s):  
Load Balancing ◽  
Software Defined Networking ◽  
Network Simulator ◽  
Control Plane ◽  
Placement Problem ◽  
Data Plane ◽  
Controller Placement ◽  
Controller Placement Problem ◽  
Load Balancer

Abstract Software Defined Networking (SDN) is a novel architecture that separates the data plane from the control plane using an external controller. Similar to traditional networks, load balancing has a great impact on the performance and availability of SDN. Therefore, the Controller Placement Problem (CPP) in SDN influences on the load balancing solutions. In this paper, various topologies of CPP including different load balancer controllers are simulated and evaluated in the SDN using the OFSwitch13 module of ns-3 network simulator. The results provide a solid comparison of the proposed topologies in different network situations.

scholarly journals Software Defined Networking (SDN) and Network Function Virtualization (NFV)

2020 ◽  
Vol 12 (1) ◽  
pp. 7 ◽  
Author(s):  
Symeon Papavassiliou
Keyword(s):  
Practical Importance ◽  
Software Defined Networking ◽  
Network Function Virtualization ◽  
Original Research ◽  
Network Architectures ◽  
Network Function ◽  
Black Boxes ◽  
5G Network ◽  
Significant Research

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.

An intelligent flow-based and signature-based IDS for SDNs using ensemble feature selection and a multi-layer machine learning-based classifier

2020 ◽  
pp. 1-20
Author(s):  
K. Muthamil Sudar ◽  
P. Deepalakshmi
Keyword(s):  
Machine Learning ◽  
Feature Selection ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Network Architecture ◽  
Detection System ◽  
Software Defined Networking ◽  
Control Plane ◽  
Control Logic ◽  
Data Plane

Software-defined networking is a new paradigm that overcomes problems associated with traditional network architecture by separating the control logic from data plane devices. It also enhances performance by providing a highly-programmable interface that adapts to dynamic changes in network policies. As software-defined networking controllers are prone to single-point failures, providing security is one of the biggest challenges in this framework. This paper intends to provide an intrusion detection mechanism in both the control plane and data plane to secure the controller and forwarding devices respectively. In the control plane, we imposed a flow-based intrusion detection system that inspects every new incoming flow towards the controller. In the data plane, we assigned a signature-based intrusion detection system to inspect traffic between Open Flow switches using port mirroring to analyse and detect malicious activity. Our flow-based system works with the help of trained, multi-layer machine learning-based classifier, while our signature-based system works with rule-based classifiers using the Snort intrusion detection system. The ensemble feature selection technique we adopted in the flow-based system helps to identify the prominent features and hasten the classification process. Our proposed work ensures a high level of security in the Software-defined networking environment by working simultaneously in both control plane and data plane.

scholarly journals QUANTUM COMPUTING AND COMMUNICATIONS

2021 ◽  
Vol 4 (1) ◽  
pp. 53-59
Author(s):  
Antonio Manzalini ◽  
Keyword(s):  
Scientific Progress ◽  
Communication Technologies ◽  
Modern World ◽  
Information Communication Technologies ◽  
Information Communication ◽  
5G Network ◽  
Challenges And Opportunities ◽  
Second Wave

Today, like never before, we are witnessing a pervasive diffusion of ultra-broadband fixed-mobile connectivity, the deployment of Cloud-native 5G network and service platforms, and the wide adoption of Artificial Intelligence. It has the so-called Digital Transformation of our Society: as a matter of fact, the transformative role of Telecommunications and Information Communication Technologies (ICT) has long been witnessed as a precursor of scientific progress and economic growth in the modern world. Nevertheless, this transformation is still laying its foundations on Electronics and the impending end of Moore’s Law: therefore, a rethinking of the long-term ways of doing computation and communications has been already started. Among these different ways, quantum technologies might trigger the next innovation breakthrough in the medium long-term. In this direction, the paper provides an overview of the state of the art, challenges, and opportunities posed by an expected second wave of quantum technologies and services.

A distributed load balancing algorithm for the control plane in software defined networking

2016 ◽  
Author(s):  
Federico Cimorelli ◽  
Francesco Delli Priscoli ◽  
Antonio Pietrabissa ◽  
Lorenzo Ricciardi Celsi ◽  
Vincenzo Suraci ◽  
...  
Keyword(s):  
Load Balancing ◽  
Software Defined Networking ◽  
Control Plane ◽  
Distributed Load ◽  
Load Balancing Algorithm
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