scholarly journals Virtual Area Routing: a Scalable Intra-Domain Routing Scheme

2011 ◽  
Vol 1 ◽  
pp. 320-324
Author(s):  
Dan Zhao ◽  
Chun Qing Wu ◽  
Xiao Feng Hu ◽  
Hong Jun Liu
Keyword(s):  
Network Performance ◽  
Control Plane ◽  
Network Configuration ◽  
Large Networks ◽  
Link State ◽  
Routing Scheme ◽  
Control Overhead ◽  
Data Plane

As a distributed link state protocol, OSPF shows poor scalability when dealing with intra-domain routing in large networks. In this paper we present a new routing scheme called Virtual Area Routing (VAR) aimed to overcome the scalability problems of OSPF. The control plane is separated from data plane and is undertaken by dedicated elements in VAR. We show that VAR can simplify network configuration and management as well as avoid unnecessary route computation. Finally we conduct experiments in real topology and the result shows VAR can reduce control overhead and improve network performance.

scholarly journals Software Defined Networking Flow Table Management of OpenFlow Switches Performance and Security Challenges: A Survey

2020 ◽  
Vol 12 (9) ◽  
pp. 147 ◽  
Author(s):  
Babangida Isyaku ◽  
Mohd Soperi Mohd Zahid ◽  
Maznah Bte Kamat ◽  
Kamalrulnizam Abu Bakar ◽  
Fuad A. Ghaleb
Keyword(s):  
Large Scale ◽  
Network Performance ◽  
Software Defined Networking ◽  
Cloud Services ◽  
Future Research ◽  
Control Plane ◽  
Processing Load ◽  
Flow Table ◽  
Data Plane ◽  
Large Scale Networks

Software defined networking (SDN) is an emerging network paradigm that decouples the control plane from the data plane. The data plane is composed of forwarding elements called switches and the control plane is composed of controllers. SDN is gaining popularity from industry and academics due to its advantages such as centralized, flexible, and programmable network management. The increasing number of traffics due to the proliferation of the Internet of Thing (IoT) devices may result in two problems: (1) increased processing load of the controller, and (2) insufficient space in the switches’ flow table to accommodate the flow entries. These problems may cause undesired network behavior and unstable network performance, especially in large-scale networks. Many solutions have been proposed to improve the management of the flow table, reducing controller processing load, and mitigating security threats and vulnerabilities on the controllers and switches. This paper provides comprehensive surveys of existing schemes to ensure SDN meets the quality of service (QoS) demands of various applications and cloud services. Finally, potential future research directions are identified and discussed such as management of flow table using machine learning.

MiTE: Program Penyunting Topologi Jaringan untuk Pembelajaran SDN

2020 ◽  
Vol 4 (5) ◽  
pp. 970-977
Author(s):  
Muhammad Fajar Sidiq ◽  
Akbari Basuki ◽  
Didi Rosiyadi
Keyword(s):  
User Interface ◽  
Centralized Control ◽  
Control Plane ◽  
Network Configuration ◽  
Fine Grain ◽  
Data Plane ◽  
Different Types ◽  
Network Administrators ◽  
Interactive User ◽  
Visual Network

Software-defined networking (SDN) is a network programmability concept that separates the control plane from the data plane by proposing a centralized control plane called a controller. Thus, network administrators are able to program the entire networks and their components via the controller. However, learning SDN is challenging due to its complex network setup and the different types of SDN networks such as OpenFlow, and P4. To ease the learning curve, the use of network emulation and a graphical-based network editor is necessary. This paper discusses the implementation of such an application, called MiTE. It satisfies both requirements: a visual network editor enforced with a configuration generator for emulation purpose. We evaluate the program by implementing IP routing cases for both, OpenFlow-based and P4-based networks. The result shows that both cases can be created easily by using a mouse command. The program has more interactive user interface while the created topologies are more informative. Compared to similar applications, our proposed application has better support for a wider range of SDN networks (Openflow and P4), fine-grain network configuration, and a more informative user interface.  

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 Relationship-Oriented Software Defined AS-Level Fast Rerouting for Multiple Link Failures

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Chunxiu Li ◽  
Xin Li ◽  
Ke Li ◽  
Jiafu Huang ◽  
Zhansheng Feng ◽  
...  
Keyword(s):  
Distributed Control ◽  
Large Scale ◽  
Network Performance ◽  
Failure Recovery ◽  
Internet Routing ◽  
Link Failures ◽  
Significant Control ◽  
Control Overhead ◽  
Fast Reroute ◽  
Multiple Link Failures

Large-scale deployments of mission-critical services have led to stringent demands on Internet routing, but frequently occurring network failures can dramatically degrade the network performance. However, Border Gateway Protocol (BGP) can not react quickly to recover from them. Although extensive research has been conducted to deal with the problem, the multiple failure scenarios have never been properly addressed due to the limit of distributed control plane. In this paper, we propose a local fast reroute approach to effectively recover from multiple link failures in one administrative domain. The principle of Software Defined Networking (SDN) is used to achieve the software defined AS-level fast rerouting. Considering AS relationships, efficient algorithms are proposed to automatically and dynamically find protection paths for multiple link failures; then OpenFlow forwarding rules are installed on routers to provide data forwarding continuity. Our approach is able to ensure applicability to ASes with flexibility and adaptability to multiple link failures, contributing toward improving the network performance. Through experimental results, we show that our proposal provides effective failure recovery and does not introduce significant control overhead to the network.

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.

IMPLEMENTASI DAN ANALISIS EFEKTIVITAS FIREWALL PADA SOFTWARE DEFINED NETWORK BERBASIS OPENFLOW

2018 ◽  
Vol 4 (2) ◽  
pp. 46-57
Author(s):  
Fathul Muiin ◽  
Henry Saptono
Keyword(s):  
Software Defined Network ◽  
Control Plane ◽  
Flow Table ◽  
Data Plane

Penggunaan akses internet di dunia semakin berkembang, dan selaras dengan perkembangan teknologi jaringan komputer yang semakin kompleks. Oleh karena itu, keamanan data pada sebuah komputer menjadi salah satu bagian yang sangat penting dalam sebuah jaringan. Dan SDN merupakan sebuah solusi untuk menyediakan kebutuhan jaringan komputer saat ini. Software Defined Network (SDN) merupakan pendekatan pada teknologi jaringan yang melakukan penyederhanaan terhadap kontrol dan manajemen jaringan. Pada jaringan ini nantinya akan menggunakan protokol openflow, yang prinsip utamanya memisahkan fungsi control plane dan data plane pada perangkat. Kontrol jaringan pada sebuah controller bersifat programmable, jadi dengan adanya SDN maka jaringan akan mudah diatur dan lebih fleksibel. Implementasi dan analisis firewall ini menggunakan emulator mininet untuk membuat topologi jaringan yang sederhana. Dalam pengujian firewall menggunakan bahasa XML untuk implementasi aliran data, lalu menggunakan aplikasi postman sebagai alat untuk menambahkan flow table baru pada switch, dan controller yang digunakan adalah opendaylight.

Cross-Layer Multimedia QoS Provisioning over Ad Hoc Networks

2012 ◽  
pp. 460-499 ◽  
Author(s):  
Raad Alturki ◽  
Rashid Mehmood
Keyword(s):  
Ad Hoc Networks ◽  
Routing Protocols ◽  
Ad Hoc ◽  
Geographic Routing ◽  
Simulation Software ◽  
Large Networks ◽  
Link State ◽  
Hoc Networks ◽  
Qos Performance ◽  
Future Work

The HCPR scheme is implemented as an extension to the OPNET simulation software and is analysed in detail for its QoS performance to deliver multimedia applications over ad hoc networks. It is compared with three well-known and widely used routing protocols: Ad Hoc On Demand Distance Vector (AODV), Optimised Link State Routing (OLSR), and Geographic Routing Protocol (GRP). Several networking scenarios have been carefully configured with variations in networks sizes, applications, codecs, and routing protocols to extensively analyse the proposed scheme. The HCPR enabled ad hoc network outperforms the well-known routing schemes, in particular for relatively large networks and high QoS network loads. These results are promising because many QoS schemes do work for small networks and low network loads but are unable to sustain performance for large networks and high QoS loads. Several directions to extend this research for future work are given.

scholarly journals Optimizations for Energy Efficiency in Software-Defined Wireless Sensor Networks

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4779
Author(s):  
Sorin Buzura ◽  
Bogdan Iancu ◽  
Vasile Dadarlat ◽  
Adrian Peculea ◽  
Emil Cebuc
Keyword(s):  
Energy Efficiency ◽  
Network Performance ◽  
Wireless Sensor ◽  
Management Approach ◽  
Control Plane ◽  
Data Broadcast ◽  
Data Packets ◽  
Similar Work ◽  
And Performance ◽  
The Individual

Software-defined wireless sensor networking (SDWSN) is an emerging networking architecture which is envisioned to become the main enabler for the internet of things (IoT). In this architecture, the sensors plane is managed by a control plane. With this separation, the network management is facilitated, and performance is improved in dynamic environments. One of the main issues a sensor environment is facing is the limited lifetime of network devices influenced by high levels of energy consumption. The current work proposes a system design which aims to improve the energy efficiency in an SDWSN by combining the concepts of content awareness and adaptive data broadcast. The purpose is to increase the sensors’ lifespan by reducing the number of generated data packets in the resource-constrained sensors plane of the network. The system has a distributed management approach, with content awareness being implemented at the individual programmable sensor level and the adaptive data broadcast being performed in the control plane. Several simulations were run on historical weather and the results show a significant decrease in network traffic. Compared to similar work in this area which focuses on improving energy efficiency with complex algorithms for routing, clustering, or caching, the current proposal employs simple computing procedures on each network device with a high impact on the overall network performance.

scholarly journals Visual-MIMO for Software-Defined Vehicular Networks

2018 ◽  
Vol 7 (4.4) ◽  
pp. 13
Author(s):  
Tae Ho Kwon ◽  
Jai Eun Kim ◽  
Ki Soo An ◽  
Rappy Saha ◽  
Ki Doo Kim
Keyword(s):  
Vehicular Networks ◽  
Multiple Input Multiple Output ◽  
Vehicular Network ◽  
Control Plane ◽  
Vehicular Communication ◽  
Efficient Manner ◽  
Communication Performance ◽  
Efficient Management ◽  
Data Plane ◽  
Input Multiple Output

The paradigm of software-defined network (SDN) is being applied to vehicle scenarios in order to eliminate this heterogeneity of vehicular network infrastructure and to manage packet flow in an application- and user-centrically flexible and efficient manner. However, owing to the random mobility of vehicles and the unpredictable road communication environment, efficient vehicle-based SDN development needs further research. In this study, we propose the concept of a sub-control plane for supporting and backing up, at the data plane level, various functions of the control plane, which plays a key role in SDN. The sub-control plane can be intuitively understood through the image processing techniques used in color-independent visual-MIMO (multiple input multiple output) networking, and the function of the control plane can be backed up through various vehicle-based recognition and tracking algorithms under the situation of disconnection between the data plane and the control plane. The proposed sub-control plane is expected to facilitate efficient management of the software-defined vehicular network (SDVN) and improve vehicular communication performance and service quality.  

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