Placement of Controllers in Software Defined Networking under Multiple Controller Mapping

This work focuses on the placement of controllers in software-defined networking architectures. A mathematical model is developed to place controllers under multi- controller switch-controller mapping, where a switch can be assigned to multiple controllers. Resiliency, scalability, and inter-plane latency are all modeled in the proposed model. A scalability factor is introduced to increase the load to capacity gap at controllers, preventing controllers to work near their capacity limit. The proposed model is shown to be effective and resilient under different failure scenarios while, at the same time, taking latency and scalability into consideration. Keywords: Controller Placement, Software-defined Networking, Reliability, Scalabilit

Quality of Service in Software Defined Networking

Software Defined Networking SDN promises to provide a powerful way to introduce Quality of Service QoS concepts in today s communication networks SDN programmatically modifies the functionality and behavior of network devices using single high level program Software Defined Networking SDN instantiation OpenFlow has been designed according to these properties The realization of Quality of Service QoS concepts becomes possible in a flexible and dynamic manner with SDN This paper focuses on the existing architectures parameter such as response time switch capacity and bandwidth isolation that is calculated here Although concepts of QoS are well researched they were not realized in communication networks due to high implementation complexity and realization costs OpenFlow as the best-known SDN standard so far defines a standard protocol for network control These observations of switch variety may provide SDN application developer s insights when realizing QoS concepts in an SDN-based networ

On the Placement of Management and Control Functionality in Software Defined Networks

In order to support reactive and adaptive operations, Software-Defined Networking (SDN)-based management and control frameworks call for decentralized solutions. A key challenge to consider when deploying such solutions is to decide on the degree of distribution of the management and control functionality. In this paper, we develop an approach to determine the allocation of management and control entities by designing two algorithms to compute their placement. The algorithms rely on a set of input parameters which can be tuned to take into account the requirements of both the network infrastructure and the management applications to execute in the network. We evaluate the influence of these parameters on the configuration of the resulting management and control planes based on real network topologies and provide guidelines regarding the settings of the proposed algorithms

INVESTIGATING THE IMPACT OF TREE-BASED NETWORK TOPOLOGY ON THE SDN CONTROLLER PERFORMANCE

Software Defined Networking (SDN) is an important technology that enables a new approach to how we develop and manage networks. SDN divides the data plane and control plane and promotes logical centralization of network control so that the controller can schedule the data in the network effectively through the OpenFlow protocol. The performance and capabilities of the controller itself are important. The impact of network topology type on controller performance can be very significant. In order to have better communication in SDN, it is essential to have an analysis of the performance of specific network topologies. In this paper, we simulate ONOS and RYU controllers and compare their different network parameters under the proposed complex custom Tree-based topology. A network topology has been designed using a Mininet emulator, and the code for topology is executed in Python. From the throughput, packet transmission rate, and latency analysis, the ONOS controller displayed better results than RYU, showing that it can respond to requests more efficiently under complex SDN topologies and traffic loads. On the contrary, the RYU controller provides better results for the less complex SDN networks

Evaluation Method for SDN Network Effectiveness in Next Generation Cellular Networks

5G mobile technology will become the new revolution in the mobile communication market. The new networks will focus on significantly improving the quality of service. The basis for their construction will form SDN networks. Therefore, the work analyzed the advantages and disadvantages of two SDN implementing methods. It was developed mathematical method to assess their complex effectiveness, which consider QoS requirements of implementing service through special weights for scalability, performance and packet delay. There were simulations of Overlay networks by using softswitches to verify the adequacy of the proposed method. The results showed that the use of SDN networks more efficiently by using IP networks for large volumes of traffic and with a large number of network equipment. Also, there were compared the approaches to build SDN management level architecture. Based on the studies and modeling we suggested to use distributed controller architecture because of its higher level of reliability