Analysis of ONOS Clustering Performance on Software Defined Network

Traditionally, data center networks consisted of large number of switches and routers, which had limited view of the entire network. The hardware and software were coupled to the device to manage the traffic flows. This coupling leads to an expensive maintenance and lacks the capability for users to introduce new applications. The different services like Cloud are being used to converge data centers to a much more efficient network. For better innovative applications, Quality of Service (QoS), energy efficient and high-security networking, Software Defined Networks (SDN) has hence emerged as a solution. Software defined network supports the dynamic nature of networks while lowering operating costs through a much simpler hardware and software management. There are various network topologies that are formed in the real-time environment. The topologies included in this paper are custom, linear and torus. In a linear topology each switch is linked to a single host. Torus topology is similar to a mesh topology; the nodes are interconnected with each other. The round trip time (RTT) from the initial host to the end host of the network topology is analyzed. It is obtained that the RTT for Torus topology is lower compared to that of the linear topology. The controller for the analysis is Open Network Operating System (ONOS) controller, which is an upcoming controller being deployed in telecom industries.

Software-defined networking (SDN) is a new way of transforming networks. It works on the principle of separating the infrastructure plane from the control plane. In the control plane, the centralized SDN controller acts as a brain of the network. Selecting the best SDN controller for the network is one of the most crucial tasks. In this paper, the experimental comparison between the two most powerful and popularly known SDN controllers on which many other SDN controllers are laid down their foundations i.e. OpenDayLight (ODL) and open networking operating system (ONOS) is performed. The experimentation is carried out on the Mininet emulation tool. Real-time packets are captured and analyzed using Wireshark. The results of the comparison concluded that the performance of the ODL controller is better than the ONOS in terms of burst rate, throughput, Round Trip Time (RTT) and bandwidth.

This article describes how novel functionalities will take advantage of the cloud networking and will gradually replace the existing infrastructure of mobile networks with a virtualized one. Two technologies, namely software defined networking (SDN) and network function virtualization (NFV), offer their important benefits and a combination of them is an answer to the demands raised, such as central office re-architected as a data center (CORD). Open network operating system (ONOS) and POX are SDN controllers and offer an option to combine SDN and NFV addressing many ongoing problems in the field of mobile networks. In this paper, technologies and both controllers are compared and contrasted. Indicative cases of topologies are simulated and help evaluating both controllers. According to the experimental findings, ONOS is one of the most important controllers for practical, theoretical, research and educational purposes, while POX is a useful and simpler controller for other educative applications.

Software-Defined Networking (SDN) is now a well-established approach in 5G, Internet of Things (IoT) and Cloud Computing. The primary idea behind its immense popularity is the separation of its underlying intelligence from the data-carrying components like routers and switches. The intelligence of the SDN-based networks lies in the central point, popularly known as the SDN controller. It is the central control hub of the SDN-based network, which has full privileges and a global view over the entire network. Providing security to SDN controllers is one such important task. Whenever one wishes to implement SDN into their data center or network, they are required to provide the website to SDN controllers. Several attacks are becoming a hurdle in the exponential growth of SDN, and among all one such attack is a Distributed Denial of Service (DDoS) attack. In a couple of years, several new SDN controllers will be available. Among many, Open Networking Operating System (ONOS) and OpenDayLight (ODL) are two popular SDN controllers laying the foundation for many other controllers. These SDN controllers are now being used by numerous businesses, including Cisco, Juniper, IBM, Google, etc. In this paper, vulnerability analysis is carried out against DDoS attacks on the latest released versions of both ODL and ONOS SDN controllers in real-time cloud data centers. For this, we have considered distributed SDN controllers (located at different locations) on two different clouds (AWS and Azure). These controllers are connected through the Internet and work on different networks. DDoS attacks are bombarded on the distributed SDN controllers, and vulnerability is analyzed. It was observed with experimentation that, under five different scenarios (malicious traffic generated), ODL-3 node cluster controller had performed better than ONOS. In these five different scenarios, the amount of malicious traffic was incregradually increased. It also observed that, in terms of disk utilization, memory utilization, and CPU utilization, the ODL 3-node cluster was way ahead of the SDN controller.

SDN (Software-Defined Network) is a new paradigm in the world of networks that separates the control plane from the data plane. Over the past few years, SDN network deployment has been difficult because it was isolated from the current IP network. SDN-IP is an ONOS (Open Network Operating System) application used to connect SDN networks to external networks using the standard Border Gateway Protocol. The SDN device will create a path with OpenFlow after receiving a route from an external peering network with BGP speakers on the SDN network. SDN-IP Reactive Routing will calculate and create paths for traffic when receiving ipv4 or ipv6 packets. Therefore, with SDN-IP Reactive, Routing can make host communication between two SDN Network or SDN Network with the internet network. As a core network that connects autonomous systems to internet network, SDN-IP networks need to pay attention to aspects of redundancy. In this research, SDN-IP Architecture use many OpenFlow Switches that are connected to an external BGP are not sufficiently controlled by one controller because if the controller is down, the forwarding plane will be lost. Multiple controllers and multiple links are required to ensure the system continues to run when the controller or link is broken. The purpose of this research is to analyze the High Availability aspects of SDN-IP Reactive Routing. This is done by making multiple onos controllers in one onos cluster system. The testing process is carried out on aspects of BGP speakers, ONOS controller and links between components.

In the modern era of software-defined networking (SDN), network monitoring is becoming more important in providing information for SDN controllers to control networks. However, current monitoring methods, based primarily on sampling and polling, have performance and granularity limitations. Inband Network Telemetry (INT) is a new method that can perform end-to-end monitoring directly in the data plane, enabling real-time and fine-grained network monitoring. In this paper, we present an INT architecture for the UDP and discuss its design and implementation in Open Network Operating System (ONOS) controller. To the best of our knowledge, this is the first INT monitoring system in ONOS.

Software Defined Networking (SDN) was introduced with a philosophy of decoupling the control plane from the data plane which facilitates network management while ensuring programmability in order to improve performance and monitoring. OpenFlow which enabled SDN was first introduced to match twelve header fields whilst at current it matches forty one which is expected to grow exponentially. Therefore future networks must have the ability to flexibly parse packets through a common interface. Programming Protocol independent Packet Processing (P4) was introduced to achieve the aforementioned by programming the underlying switch, providing instructions and utilizing APIs to populate the forwarding tables. A P4 programmed switch will forward packets through a parser into multiple stages of match+action tables to find the destination node which is considered the most efficient mechanism for routing. This paper takes into the account the latest platform developed for service providers, Open Networking Operating System (ONOS) to deploy two environments configured in the aforementioned technologies in order to test their performance. Four case studies were drawn which were simulated in Mininet which incorporated SDN + P4 switches. A significant increase of performances were recorded when compared with the performance of cases using SDN only.

The use of Software-Defined Networking (SDN) has created a huge leap in the management of computer networks. SDN offers flexibility and the ability to dynamically manage networks, but along with its advantages, it also brings significant challenges in managing quality of service (QoS). QoS is critical to maintaining performance and user experience in increasingly complex and distributed network environments. The research method uses Solution Development to address a quality of service (QoS) management challenge and solution in Software Defined Networking with the approach of designing and developing practical solutions to address QoS management issues and challenges in SDN environments. Control Separation and Data Plane are centralized network control at the SDN controller, while the data plane reside in the networks hardware, both capable of maintaining QoS and a challenges in SDN with a computer network approach that separates the control layer from the data layer, enabling more flexible and centralized network management. Research conclusions related to SDN Software Defined Networking quality of service management problems and solutions, focusing on the problem of separating management and data levels. The separations of control and data plane concept in SDN has great potential to improve flexibility, scalability and more efficient network management.

A Research on Integrated Space-Ground Information Network Simulation Platform Based on SDN

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.

The Virtual Customer Premises Equipment (vCPE) technology has recently emerged to reduce telecom operators' OPEX and CAPEX. It evolved from Network Function Virtualization (NFV) and Software Defined Networking (SDN) technologies. This paper proposes a flexible vCPE framework to enable dynamic chaining of Virtual Network Functions (VNF) by using Programmable Protocol-independent Packet Processors (P4) switches. It can obtain a much better packet processing performance compared to the pure software vCPE solution. The OpenFlow switch provides similar hardware acceleration, but it executes the flow tables in a fixed order, and it is not possible to skip the flow tables, which are not subscribed to by a customer. However, P4, the domain-specific language used to describe how to process packets on a data plane (DP), gives more flexibility than the OpenFlow. It provides a way to avoid the fixed flow table execution order and can introduce a new service on the fly. Our flexible vCPE framework can be achieved by the synergies between an NFV controller on the cloud and a P4 switch at the edge. In this paper, an Open Network Operating System (ONOS) controller with P4Runtime is used as a VNF control plane and a P4 Behavioral Model (BMv2) software switch is used as a DP. Finally, dynamic function chaining is realized using three possible implementations, viz. multi-instance, clone, and resubmit. P4 language is used for the implementations. Experimental results show that a multi-instance based solution is better than a resubmit and clone.

With the emergence of recent technologies in the field of computer network, traditional infrastructure in the field of networks have become obsolete and incompatible with respect to the new architectures of open networks that emerge with force. This is how software-defined networks emerge by enabling cloud computing ecosystem, enterprise data centers, and telecommunications service providers. The major contribution of this paper is the simulation of an ecosystem based on a software defined network by making use of certain types of networks topologies and using the virtualization of the open network operating system (ONOS) and Mininet as a network emulator.

Softwarizing a network can improve its overall resilience. A softwarized network is based on software-defined networking (SDN), network function virtualization (NFV), and network virtualization. It is well known that SDN controllers provide a wide vision of the whole network. It grants the programmability of the network, which is complementary to the NFV functioning. SDN/NFV aims to make the physical equipment used versatile. In this article, we present the monitoring module of our approach for Internet of Things (IoT) environment using the Open Network Operating System (ONOS) controller. This article presents the first step for our next softwarized management framework that would investigate the important input information collected from this monitoring approach.

A flexible SDN-based framework for slow-rate DDoS attack mitigation by using deep reinforcement learning

The SDN controller is a fundamental component of Software-Defined Networking. There is a variety of SDN controllers created by industry and academic research. Consequently, its selection is critical as it influences the success or failure of network connectivity. This study compared Open Network Operating System (ONOS) and Open Daylight (ODL) controllers. These open-source controllers have been installed in virtual machines to evaluate Performance using three types of network topologies that were emulated with the Mininet tool. The Performance was evaluated in terms of Throughput, Jitter, and Latency. The results showed that the ONOS controller achieved a high throughput of 79.200 Mbits, with a lower jitter of 0.022 ms and a minimum latency of 0.117 ms compared to the ODL controller.