SDN Architecture Research Articles

Software Design Principles to Enhance SDN Architecture

SDN as a network architecture emerged on top of existing technologies and knowledge. Through defining the controller as a software program, SDN made a strong connection between networking and software engineering. Traditionally, network programs were vendor specific and embedded in hardware switches and routers. SDN focuses on isolation between control and forwarding or data planes. However, in the complete SDN network, there are many other areas (i.e. CPU, memory, hardware, bandwidth and software). In this paper, we propose extending SDN architecture and propose isolation layers with the goal of improving the overall network design. Such flexible architecture can support future evolution and changes without the need to significantly change original components or modules.

Learning-based approach for layered adaptive video streaming over SDN

Software-defined networking is a recently emerging paradigm that decouples the control and data planes of computer networks. It allows for the implementation of application-specific routing algorithms, and the advantages that the SDN architecture enables can be used to enhance the performance of multimedia communication applications. In this paper, we propose an adaptive video streaming system with a learning-based approach, running over SDN. In the proposed video streaming system, we use a novel learning model to determine the optimal time to re-route the traffic flows and to change the bitrate of the video. The learning model aims to minimize the packet loss rate, quality changes and controller cost while adapting the flow routes and video quality. We have tested the performance of the learning-based approach by comparing it to traditional Internet routing and the greedy approach. The results show that the proposed system significantly outperforms the traditional Internet routing approach and the greedy approach in terms of quality of experience (QoE) and network cost under different network scenarios.

Software-defined control of the virtualized mobile packet core

Mobile packet core networks are undergoing major changes to meet the requirements of the future data tsunami, enhance network flexibility, and reduce both CAPEX and OPEX. In this regard, SDN and NFV technologies have gained great momentum among the teleos, with the promise of interoperability, programmability, and on-demand dynamic provisioning. In this article, we present work being developed in the Mobile Packet Core project within the ONF Wireless & Mobile Working Group regarding SDN architecture for the Mobile Packet Core. In addition, we propose an SDN-based MPC in the NFV context in order to facilitate dynamic provisioning of MPC network functions. Finally, a potential control architecture considering both SDN and NFV is proposed.

Software Defined Networking (SDN): A Revolution in Computer Network

SDN creates a dynamic and flexible network architecture that can change as the business requirements change. The growth of the SDN market and cloud computing are very much connected. As the applications change and the network is abstracted, virtualization become a necessary step and SDN serves as the fundamental building blocks for the network. Traditional networking devices are composed of an embedded control plane that manages switching, routing and traffic engineering activities while the data plane forwards packet/frames based on traffic. In SDN architecture, control plane functions are removed from individual networking devices and embedded in a centralizedserver. The SDN controller makes all traffic related decisions in the network without nodes active participation, as opposed to today’s networks. Keyword-API, cloud computing, IT, middleware, OpenFlow, SDN

OpenQFlow: Scalable OpenFlow with Flow-Based QoS

SUMMARY OpenFlow, originally proposed for campus and enterprise network experimentation, has become a promising SDN architecture that is considered as a widely-deployable production network node recently. It is, in a consequence, pointed out that OpenFlow cannot scale and replace today’s versatile network devices due to its limited scalability and flexibility. In this paper, we propose OpenQFlow, a novel scalable and flexible variant of OpenFlow. OpenQFlow provides a fine-grained flow tracking while flow classification is decoupled from the tracking by separating the inefficiently coupled flow table to three different tables: flow state table, forwarding rule table, and QoS rule table. We also develop a two-tier flowbased QoS framework, derived from our new packet scheduling algorithm, which provides performance guarantee and fairness on both granularity levels of micro- and aggregate-flow at the same time. We have implemented OpenQFlow on an off-the-shelf microTCA chassis equipped with a commodity multicore processor, for which our architecture is suited, to achieve high-performance with carefully engineered software design and optimiza

P-4-438 - Comparison between EMG and thermography in cervical disc herniations

In addition to productivity and quality output, for many years, manufacturing systems were also designed with reliability and safety requirements in mind. In the recent decade or so, the approach seems not adequate anymore. The current manufacturing global operations ask for more stringent requirements than ever before, which include privacy and security of transactions, among others. Manufacturing control is not new, but the use of cloud environments to integrate distributed manufacturing facilities and entirely control the production processes across those facilities is an active research area denoted in terms such as: virtual factory, cloud manufacturing, Industry 4.0, Industrial Internet of Things (IIoT), and more recently, software-defined networking-based (SDN-based) manufacturing. In computer networking domain, SDN is known as a network architecture that decouples the network data and control mechanisms. SDN architecture assigns the entire data control to a logically centralized control plane that can be software-programmed based on specific application needs. From the security point of view, this translates in the fact that anyone with access to the computers that run the network control software could potentially get control over the entire network. This paper proposes an integrated modeling environment that addresses the virtual manufacturing system assurance through cybersecurity and resilience mechanisms for SDN applications. First, the paper proposes a SDN-based manufacturing testbed and a combined cybersecurity-resilience ontology to be used for the requirements capture of the virtual manufacturing network design stages. Then, the paper outlines the framework for SDN-based cybersecurity-resilience protection mechanisms for virtual manufacturing applications, and ends with the envisioned future research needed for implementing the proposed framework.