POX Controller Research Articles

Performance Analysis of an OpenFlow-Enabled Network with POX, Ryu, and ODL Controllers

With the ongoing digital transformation, the requirement for seamless & agile network connectivity has increased. This has necessitated the transformation from traditional networking to Software-Defined Network. With SDN, the network resources/infrastructure can be made more robust and programmable to accommodate the varying demand. Software-Defined Network (SDN) is now being used by data centers, cloud computing environments, and service providers for efficient handling of network requests. The objective of SDN can be achieved through the performance of the controllers. We have considered POX, Ryu, and ODL controllers to evaluate the performance using the Mininet tool and D-ITG (Distributed Internet Traffic Generator) script. Performance is evaluated using custom topology i.e. Fat tree topology. Several performance metrics (such as Delay, Jitter, Bitrate, Packet rate, Loss-burst size, and Percentage of Packets dropped) are considered and the behaviors of the controllers are monitored during experimentation by flooding the switches with several data packets. It has been observed that the POX controller performs better compared to Ryu and ODL for the Fat tree topology. From the experimental results, it is observed that the average delay of ODL is approximately 50% more than the POX controller and approximately 80% more delay occurred in the Ryu controller in comparison to the POX controller. Similarly average packet dropped percentage of POX is 20% less than Ryu and ODL controllers. Also, it has been observed that the average jitter in POX is almost 50% less in comparison to ODL and 90% less in comparison to the Ryu controller.

A model transformation based security policy automatic management framework for software-defined networking

Software-defined networking (SDN) has been utilized to enforce the security of traditional networks. However, the existing SDN-based security enforcement mechanisms rely heavily on the security policies containing the underlying information of data plane, such as MAC address, IP address or switch ports. These security policies need to be specifically developed by network operators and loaded into the control plane manually. With increasing the scale of underlying network, the existing security policy management mechanisms confront more and more challenges. The security policy transformation for SDN networks is to research how to transform the high-level security policy without containing the underlying information into the practical flow entries used by Openflow switches automatically, thereby implementing the automatic management of security policies. To achieve this objective, we propose a model transformation based security policy automatic management framework for software-defined networking in this paper. Leveraging its functional modules, the framework can solve the problems of how to find a connected path for each access control rule of security policy model (SPM) in data plane, how to transform the connected path into the system model of flow entries, as well as how to generate the practical flow entries according to the system model of flow entries. In order to validate the effectiveness and performance of framework, we implement the framework by leveraging POX controller and Mininet emulator. The experimental results illustrate the framework can transform SPM into practical flow entries, synchronously perceive the modifications caused by cutting down one connected path or changing SPM, and continuously keep the data plane holding the security properties defined by SPM at runtime.

Shortest Path Routing Performance Evaluation over SDN Environment

Static routing has a manual configuration setup system, and the scope of static routing in an SDN network is just for small networks. The solution to this problem rises up with the new technology defined as software-defined networking (SDN) based on shortest path first dynamic routing. SDN has the facility of a centralized controller that smooth the controls and routes computation over a data packet. The performance analysis of SDN networks that have SDN switches connected to the network based on the shortest path first protocol are simulated on Mininet. The POX controller with Mininet programming feature for creating smart topologies was chosen. In this research, the SDN network using Dijkstra’s algorithm, Bellman-Ford algorithm, extended Dijkstra’s algorithm and Floyd Warshall Algorithm were implemented. The quality factors of SDN created by using four algorithms are measured in terms of delay, jitter, latency, packet loss, transmit, received, throughput, and bandwidth based on experimental results and European Telecommunications Standards Institute (ETSI) data. The performance parameters of SDN network topology created using Dijkstra’s, bellman ford, extended Dijkstra’s, and Floyd Warshall algorithms were compared and the experimental results showed that Bellman-Ford algorithm is better in terms of performance parameters than the other three algorithms.

Impact of Docker Container Virtualization On Wireless Mesh Network by Using Software-Defined Network

In today’s advanced digital world era, it is extremely difficult for small enterprises or organizations to merge traditional or legacy computer network devices/equipment and wireless mesh networking devices with the latest digital computer network technology with respect to the expense of buying and maintaining expensive branded networking devices. However, today, by applying the neatly Software-defined networking, the OpenFlow protocol along with virtualization such as docker containers, which is a pack of their specific libraries, configured files, and software, provides advantages over proprietary or branded computer networking devices with respect to purchasing expenditure, operational expenditure, and improved performance in computer networking. Redistribution of routing protocol is very essential when using various autonomous systems in wireless mesh networks. Docker containers of frr and quagga give an edge over traditional or branded physical router devices, some docker containers are used as wired and wireless hosts/clients in the wireless mesh network. The novel idea used in this paper is on how to use the different software-defined controllers (Ryu and Pox controller) in a docker containerized wireless mesh network to analyse with respect to packet transfer, jitter in transmission, minimum delay in transmission, maximum delay in transmission, the average delay in transmission, delay standard deviation bit-rate, send packets, average packets drop, dropped packets along-with average loss-burst size in Mininet Wi-Fi testbed at the different scenario and the result shows that by using the docker container virtualization along with software-defined network two different controllers improves the performance and optimize the wireless mesh network. In addition, it shows that by using containerization and virtualization, capital expenditure and operational expenditure can be reduced in designing and developing wireless mesh network topologies.

POX and RYU Controller Performance Analysis on Software Defined Network

From the last decades different types of network schemes are pitched to enhance the user performance. Software Defined Networks (SDN) is also considered as important factor for different network schemes and its proper administration or management. Due to major deployment in today’s networking era SDN are further sub divided in to commercial and open-source controllers. Commercial and open-source controllers are utilized in different type of businesses. According to our knowledge considerable amount of literature is available on these controllers but did not provide or analyse performance of these controllers on different network parameters. This paper evaluates and compares the performance of two well-known SDN open-source controllers POX and RYU with two performance assessments. The first assessment is the implementation of optimal path by using Dijkstra's algorithm from source to destination. Second assessment is the creation of a custom topology in our desired tool (MiniNet emulator). Then, the performance in terms of QoS parameters such as Jitter, throughput, packet loss, and packet delivery ratio are computed by two end hosts in each network. After the assessments, the performance of POX are optimal as compare to the RYU and best suited to be deployed in any scenario.

Real-World Multimedia Streaming for Software Defined Vehicular Ad Hoc Networks

Multimedia services with required Quality of Service (QoS) is one of the most critical challenges in Software Defined Network (SDN) based Vehicular Ad-Hoc Networks (VANETs). It forms an essential part of the Intelligent Transport System (ITS), where infotainment services play an essential role.Streaming multimedia is one of the most popular applications and has a high demand for VANET infotainment services. The major issues for multimedia streaming on VANET are scalability, mobility of vehicles, frequent connection failures, frequent change in network topology, and distributed architecture with heterogeneous devices. To overcome these problems and provide a better QoS, we propose using a hybridarchitecture with a combination of VANET and SDN called Software-Defined Vehicular Networks (SDVN). This work presents a modified POX controller-based SDN framework for VANETs, especially for multimedia streaming applications in realistic traffic patterns. The proposed work has a real-world setup developed using Simulation of Urban Mobility (SUMO), where iPerf generates multimedia traffic. Also, streaming standard-definition YouTube videos in real-time between the vehicular nodes was done. The modified POX controller could take advantage of the centralised perspective of the network for action determination, and the integrated spanning tree algorithm reduced the redundancy. Despite the dynamic nature of the testing environments, the proposed Modified POX Controller consistently outperformed VANET, with up to 21 to 42% better packet delivery ratio for higher data transfer rates. The overall improvement in QoS parameters also accompanies an improvement in the consumers Quality of Experience (QoE) factors.

OPTIMIZATION OF ROUTING USING TRAFFIC CLASSIFICATION IN SOFTWARE DEFINED NETWORKING

Efficient routing is an essential task for any network as it directly impacts the network’s performance. In this paper, we have used traffic classification techniques to optimize routing in Software Defined Network (SDN) and provided a cost aware routing framework. Instead of classifying traffic based on a particular parameter, we perform the traffic classification using a hybrid approach that is based on machine learning techniques. Our framework uses supervised machine learning techniques to classify network flow and detect elephant flows which are too heavy in size and require significant bandwidth. As the requirements of each elephant flow vary with the application, we further perform Quality of Service (QoS) based traffic classification, which classifies these elephant flow into QoS classes as per their QoS requirements. For this purpose, we have used semi-supervised machine learning algorithms. Further, we have proposed a routing algorithm that makes use of the Dijkstra algorithm to compute the best possible shortest path based on the QoS requirements of the elephant flow. The proposed method was implemented and tested on Mininet using a POX controller. The simulation results show that our framework successfully classifies elephant flows with an accuracy of 80% and also computes a low-cost path for each elephant flow based on the actual internet data set.

Design an Algorithm for dynamic Slice of SD-WAN Using VLAN

Software-Defined Network (SDN) is one of the most predominant technologies for networking in the existing and next-generation networks. SDN can conFig. , control, protect, and optimize network resources through software. The fundamental benefit of SDN is enabling the application of dynamic management. In addition, the literature shows that partitioning a Software-Defined Wide Area Network (SD-WAN) into several logical networks efficiently will optimize its performance. The main aim of paper is to design an algorithm to slice SD-WAN dynamically into several virtual networks according to the server-clients’ correlation using the Virtual Local Area Network (VLAN). The several virtual networks improve QoS of SD-WAN and reduce its broadcasting domain. The proposed framework consists of two parts. The first part is the management algorithm that finds the best server for each client; then it groups this server with their client in a dedicated logical network. The second part includes creating a VLAN for each logical network in an SD-WAN. The application of the POX controller calculates and maintains the dynamic VLAN, which will be applied by the control plan to slice the topology in the data plan. SD-WAN topology is tested before and after applying VLANs. The results show enhancement in latency by 42.85%, throughput by 4.61%, loss packet by 72% and jitter by 47.86% after applying VLAN. Finally, the greatest gain is reducing the broadcasting ratio by 77.77%. Index Terms— Virtual Local Area Network (VLAN), Software-Defined Network (SDN), Software-Defined Wide Area Network (SD-WAN), Quality of Service (QoS), OpenFlow (OF).

Dynamic Weighted Round Robin Approach in Software-Defined Networks Using Pox Controller

Load balancing is important in solving over-load traffic problems in the network. Therefore, it has been among the first appealing applications in Software Defined Networking (SDN) networks. Numerous SDN-based load-balancing approaches have been recommended to enhance the performance of SDN networks. However, network control could be more manageable in large networks with hundreds of switches and routers. The SDN is a unique way of building, controlling, and developing networks to modify this unpleasant situation. The major concept of SDN contains logically centralizing network management in an SDN controller, which manages and observes the behaviour of the network. Numerous load-balancing approaches are known, such as Round Robin (RR), random policy, Weighted randomized policy (WRP), etc. Every load-balancing policy approach has some benefits and detriments. This paper developed an advanced load-balancing algorithm, a dynamic weighted round-robin (DWRR), and ran it on the top of the SDN controller. Then we calculate the result of our proposed load-balancing approach by comparing it with the current round-robin (RR) and weighted round-robin (WRR) approaches. Mininet tool is utilized for the investigation, and the controller utilized as the control plane is named the POX controller.

A Secured Software Defined Network Architecture for Mini Net using POX Controller

SDN (software-defined networks) is a new technology that stems from numerous network security enhancements. It handles network data in a flexible manner using highly secure frameworks. The secure SDN model's purpose is to ensure data security. The proposed idea to be executed is a robust firewall protection in a mini net employing a POX controller. In order to deal with network-induced dangers, the huge network connectivity influenced environment requires additional protection. The proposed effort focuses on creating a secure SDN simulation architecture that is managed by Open Source POX Controller. Through a POX-controlled traffic management system and a Fingerprint-enabled authentication technique, the system provides multilayer security. The enhanced security is achieved by assessing network traffic as either elephant or mouse flow and selecting the appropriate security level based on data complexity. Mininet is run in a virtual cloud, where protocols and tools are tested and supported by a virtual machine (VM). The novelty is to produce a secure SDN topology was created using a python-based POX controller in the suggested technique. It also provides a low-cost solution as well as rapid development in conjunction with industrial networks.

Proposed Multi-Layer Firewall to Improve the Security of Software Defined Networks

one of the most important motivations behind the use of software-defined networking (SDN) is the desire to move from the approach of traditional networks to a more flexible and intelligent software development technology. This paper focuses on the importance of the SDN-based platform POX controller security firewall modules and its effectiveness on networks including the central administration of the SDN-based platform controller for protecting the network from possible attacks. The work is performed using the Mininet emulator with the aid of iperf bandwidth measurement tool. Result reveals that the proposed multi-layer firewall does not compromise the flexibility of the network in any way.

SDN-Based Security for Smart Devices Against Denial of Service Attacks

Objectives: To achieve a reliable IoT environment by mitigating the DoS attack. Methods: The study focuses on building a firewall on an Open Flow-based Software Defined Networking (SDN) controller to secure a network. We chose the POX controller, which is based on the Python programming language, from among various controllers. Furthermore, a detailed analysis of denial of service attacks against IoT devices has been carried out using Wireshark. Findings: SDN design allows networks to actively monitor traffic and diagnose threats, making network management easier. DoS & DDoS attack is simulated for IoT application which resulted in the loss of packets. Novelty: When compared to the traditional firewall where the internal traffic cannot be seen and filtered, SDN based firewall can filter the packet based on the policy defined. Here the experiment is carried out using open-source software.SDN security was built into the architecture to ensure the availability, integrity, and privacy of all connected resources and information. SDN-based Firewall is used as a solution against the denial of service attack. Through simulation, we have found and analyzed an efficient unsupervised method for detecting DDoS. Keywords: Network Attack; Smart Devices; Security; Firewall; Software Defined Network

Towards Secure Implementations Of SDN Based Firewall

Software-defined networking (SDN) is an emerging technology as a new paradigm for network architecture. It is a revolutionizing technology that facilitates effective management and programmability in a network. With the surge in popularity of SDN, security measures to protect enterprise networks are getting more critical. In SDN, security methods like firewalls must deal with unpredictable network environments. A firewall is an essential part of network security. It can restrict network data traffic flows according to predefined rules. This research paper analyzes the performance of SDN-based firewalls implemented on different network layers. Mininet simulation tool creates a topology using POX controller and open flow switch. Evaluate data flow by implementing and without a firewall using transmission control protocol (TCP) and user datagram protocol (UDP). To evaluate the performance of the proposed firewall, network parameters like bandwidth, roundtrip time, jitter, and packet loss must be analyzed. The outcome proved that the performance has improved whether either firewall was implemented or not. In the future, by using the Mininet simulation tool with other external controllers like RYU, Floodlight, NOX, etc., analyze the parameters mentioned above and make firewall rules for the application layer.

Analysis of the Performance of Various Load Balancing Algorithms for SDN in Data Center Networks

In order to fulfil the demands of modern IT, it is necessary to address the many limitations of current networking infrastructures. Software Defined Network (SDN) is the new networking technique to get around these constraints. Existing Network Infrastructures use static switches, which results in a substandard utilization of the network resources, which is one of the main problems. The main issues with the present networking trend are the slow response and delays. In this research different load-balancing algorithms for Software Defined Network based Data Center network is implemented to overcome mentioned issues. The POX controller is used in the implementation and the Mininet emulator is used to simulate the network functionality. The load balancing algorithms program is written in the Python language, which is also used for creation of the network topology. Finally, Siege HTTP load testing tool is used to test network performance. The testing is focused on Quality of Service pa- rameters transaction rate, average response time and throughput. The results show that the Weighted algorithm outperforms all other considered algorithms.

DoS Attack Detection and Defense on SDN Controller

With the development of the Internet, the flexibility and manageability problems of traditional network architecture have become increasingly prominent. To solve this problem, Software Defined Network (SDN) was born in recent years. The core idea of SDN is to decouple the data forwarding layer and the control layer, which makes SDN centralized, expandable, and programmable. The core services, important configuration, and other functions of SDN are deployed on the SDN controller, which is conducive to the centralization of network management but also introduces threats to network security. If the SDN controller is attacked, it will affect the coverage of the controller. The entire network, in extreme cases, will be paralyzed. Based on the analysis of the characteristics of the SDN network architecture, OpenFlow protocol, and the principle of DoS attacks, this project proposed and implemented two DoS detection and mitigation methods. The first one uses the Ryu controller, sFlow, and Postman to visualize and drop DoS attack traffic. The second method is a DoS attack automatic detection algorithm with a POX controller.

An optimized weighted voting based ensemble model for DDoS attack detection and mitigation in SDN environment

In recent years, software defined networking (SDN) has risen to prominence as a cutting-edge and promising networking approach. SDN is more secure and immune to DDoS attacks than traditional networks due to the bifurcation of the control and data planes, a global perspective of the whole network, centralized network control, and many other features. SDN still seems to be vulnerable to new DDoS attacks that can target the Application plane, control plane, or data plane, as well as the SDN architectural communication channels. In this paper, we propose a novel optimized weighted voting ensemble model to detect DDoS attack in an SDN environment. The proposed ensemble employs six base classifiers (two SVMs, two Random forests, and two Gradient Boosted Machines) that are differentiated by hyperparameter values. The optimal set of weights are identified by a novel hybrid metaheuristic optimization algorithm (BHO). Our approach eliminates false negatives by employing a novel dynamic fitness function. For training the ensemble framework we used CIC-DDoS2019 dataset. To examine the proposed model’s performance, a testbed is developed using mininet and POX controller and loaded with multiple datasets. Our model outperforms all the recent approaches, achieving a low variance and high classification accuracies of 99.4163% and 99.3591% on CIC-DDoS2019 and CAIDA-2007 datasets respectively.

An Adaptive Routing Framework for Efficient Power Consumption in Software-Defined Datacenter Networks

Data Center Networks (DCNs) form the backbone of many Internet applications and services that have become necessary in daily life. Energy consumption causes both economic and environmental issues. It is reported that 10% of global energy consumption is due to ICT and network usage. Computer networking equipment is designed to accommodate network traffic; however, the level of use of the equipment is not necessarily proportional to the power consumed by it. For example, DCNs do not always run at full capacity yet the fact that they are supporting a lighter load is not mirrored by a reduction in energy consumption. DCNs have been shown to unnecessarily over-consume energy when they are not fully loaded. In this paper, we propose a new framework that reduces power consumption in software-defined DCNs. The proposed approach is composed of a new Integer Programming model and a heuristic link utility-based algorithm that strikes a balance between energy consumption and performance. We evaluate the proposed framework using an experimental platform, which consists of an optimization tool called LinGo for solving convex and non-convex optimization problems, the POX controller and the Mininet network emulator. Compared with the state-of-the-art approach, the equal cost multi-path algorithm, the results show that the proposed method reduces the power consumption by up to 10% when the network is experiencing a high traffic load and 63.3% when the traffic load is low. Based on these results, we outline how machine learning approaches could be used to further improve our approach in future work.

IMPLEMENTING SOFTWARE DEFINED NETWORKING (SDN) BASED FIREWALL USING POX CONTROLLER

A firewall's main function is to limit unwanted traffic. It will track and manage the flow of data that comes from various sources into the network and functions on the principle of preconfigured rules. Firewalls are one of the important elements of the network infrastructure. In order not to increase the packet delay in the network, they should guarantee the correct level of protection and, at the same time, satisfactory efficiency. According to security policy, the firewall is interposed between two networks to buffer traffic between them. By implementing rule-based control on packets, a firewall gives security protection. With either hardware or software, or a fusion of both, firewalls may be implemented. Software-Defined Networking (SDN) is an evolving technology that will drive the networks of the next generation. Network managers are given the freedom to introduce their networks. But at the same time, it brings with its new security problems. We need effective firewall solution to protect SDN networks. The SDN provides network managers with a simple description of the whole layout of the network. It decouples the control and forwarding mechanisms of a network so that it is possible to handle the physical and logical networks separately. This approach facilitates the programmatic and efficient reallocation of network traffic flows to fulfil increasing needs. SDN makes networks completely managed by software applications and provides the hope of shifting the limits of traditional network infrastructures. For implementation of firewall POX controller is used. POX is an open source OpenFlow/Software Oriented Networking (SDN) Controller built on Python. For quicker design and development of experimental network technologies, POX is used. The POX controller arrives with the Mininet virtual machine pre-installed.

Performansi Software Defined Network Controller Pada Streaming Video Menggunakan Real-time Transport Protocol

Computer network conditions that are dynamic and also complex make network operators often make mistakes in the configuration of a network device. However, these mistakes can be resolved by the emergence of a centralized programming approach which is now known as Software Defined Network (SDN). In addition, with the development of information technology, several services in computer networks also grabbed a lot of attention from the world, such as video streaming services. A video streaming service that is so massive is capable of having an impact on data traffic on computer networks. In SDN networks, controllers are a core component of this architecture. Currently, many different types of SDN controllers can be used, however, choosing a controller in an SDN network must be an important concern. This is related to the performance of the SDN controller which is a requirement for SDN network development. This research will analyze the performance of the video streaming service using the Real-time Transport Protocol (RTP) streaming protocol in testing two SDN controllers, namely Pox and Opendaylight. Based on the tests that have been carried out, it produces Quality of Service (QoS) values in the form of throughput, delay, and jitter. The Pox controller excels in the value of QoS delay and throughput. As for the jitter value, both Pox and Opendaylight controllers have good indexes.

EMULATION OF THE POX CONTROLLER AS A LOAD BALANCER

Abstract- The servers’ nature of having bottleneck situations makes the load balancing one of the essential services in the networks, particularly with the users’ increasing load. This current paper investigates the technique of load-balancing related to Software-Defined Network (SDN). Due to the nature of the paper, there shall be processes of analysis and simulation to the software-defined network of the two servers. The following parts constitute two servers, four clients, a pox controller, and an open virtual switch. To have the proposed topology connected with the pox controller, there shall be the utilization of the OpenFlow protocol. The results demonstrate that the use of the technique of load balancing assists in equally distributing the requests among the servers.