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This article deals with quality of service (QoS) in internet protocol (IP) telephony by applying software-defined networking (SDN) tools. The authors develop a new design that deterministically classifies real-time protocol (RTP) streams based on data found in session initiation protocol (SIP) using SIP proxy as a mediator, and the concept making this possible is called SDN. Compared to traditional networks, SDN allows us to approach network configuration differently. SDN networks are programmable through software applications running on top of the SDN controller. One of the technologies that might benefit from this concept is IP telephony, which often needs an additional priority management configuration to ensure consistent quality of its real-time media exchange. Typically, a session protocol for real-time communications is SIP, and as such, its infrastructure may be used to classify the traffic in question and take advantage of the centralized approach of SDN networks to distribute the class information across the switching devices. Different approaches and possible applications are discussed in the conclusion. The contribution of this paper lies in the proposal of SDN-based QoS mechanisms. The entire design of the concept was implemented and validated in a laboratory environment. The results clearly demonstrate the efficiency of the proposed approach.

Network topology is a physical description of the overall resources in the network. Collecting this information using efficient mechanisms becomes a critical task for important network functions such as routing, network management, quality of service (QoS), among many others. Recent technologies like Software-Defined Networks (SDN) have emerged as promising approaches for managing the next generation networks. In order to ensure a proficient topology discovery service in SDN, we propose a simple agents-based mechanism. This mechanism improves the overall efficiency of the topology discovery process. In this paper, an algorithm for a novel Topology Discovery Protocol (SD-TDP) is described. This protocol will be implemented in each switch through a software agent. Thus, this approach will provide a distributed solution to solve the problem of network topology discovery in a more simple and efficient way.

Software-Defined Networking (SDN) is one of the promising technologies that provide the required improvements in flexibility, scalability, and performance to future mobile networks to keep up with the expected growth. Thus, Software Defined Mobile Networks (SDMN) will play a crucial role in the beyond LTE mobile networks. This book presents the concepts of SDMNs which would change the network architecture of the current LTE (3GPP) networks. It provides an insight into the feasibility and opportunities of SDMN concept, as well as evaluates the limits of performance and scalability of the new technologies applied on mobile broadband networks. This book has been created by the joint effort of many academic researchers and industrial engineers. It provides a simultaneous account of the theoretical principles of beyond LTE mobile network architectures and feasible implementations aspects. The book is written in a step-by-step approach that includes both introductory level text as well as more advanced reference. It will meet the expectation of readers from various backgrounds and levels. The book is written in an accessible and simple style yet will transfer up-to-date telecommunication knowledge to academic researchers and cutting-edge knowledge in SDMN concepts for industrial engineers to cope with the innovation competition. Covered Topics Include: • Fundamentals: includes a comprehensive literature review in SDN concepts and the evolution of mobile networks • Architecture and Network Implementation: provides an initial explanation about the principles of SDMNs and explains the various implementation options • Traffic Transport and Network Management: discusses the impact of SDN concepts on traffic transport and network management functions of future mobile networks • Resource and Mobility Management: explains the various challenges on resource and mobility management of future mobile networks while adapting the SDN concepts • Security Aspects: includes state-of-the-art in security challenges in future mobile architectures and security management aspects in SDMNs • Techno-Economic Aspects: discusses the business cases in virtualized mobile network environments and presents both evolutionary and revolutionary industry architectures for SDMNs.

For the multi-media based internet today, high quality real-time content delivery has is becoming a mainstream and the demand for Quality of Service (QoS) is greater than ever and is gaining significance since it has remained quiet an issue ever since internet has grown immensely over the past few years. Internet service providers have to load-balance their network during peak hours, and there is vast network load because of high definition multi-media streaming services like Netflix and YouTube. While technology and innovation has continued to evolve, network infrastructure system has stagnated and has remained almost same ever since its inception, the network devices such as routers, switches and hubs are considered black box devices with little or no abstraction, and information on how the data is routed within its ecosystem has been always a closely protected secret only with the device manufacturer. Software-Defined Networking (SDN) is an emerging paradigm in computer networking that allows a logically centralized software program to control the behavior of an entire network. This is done by decoupling the network control logic from the fundamental physical routers and switches that forward traffic to the selected destination. One mechanism that allows the control plane to communicate with the data plane is OpenFlow. The network operators could write high-level control programs that specify the behavior of an entire network. The centralized control makes it possible to define more specific and complex tasks that could involve many network functionalities, e.g., security, resource management and control, into a single framework. The explosive growth of real time applications and high definition media content that require rigid Quality of Service (QoS) guarantees, brings the network programmers to design network protocols that deliver certain performance. This thesis exploits the use of SDN combining with OpenFlow to manage network services with a high QoS demand. SDN architecture can save companies and service providers money, reduce provisioning time from weeks to minutes, provide centralized management, promote innovation, and allow programmability. This paper demonstrates a QoS management and orchestration architecture that allows us to manage the network in a modular way. Then, by implementing an application layer QoS protocol using OpenFlow protocol, we detect application layer traffic of Torrent and YouTube sessions respectively and provision QoS parameters on it. This paper discusses the implementation details and provides a performance analysis.

The future 5G wireless is triggered by the higher demand on wireless capacity. With Software Defined Network (SDN), the data layer can be separated from the control layer. The development of relevant studies about Network Function Virtualization (NFV) and cloud computing has the potential of offering a quicker and more reliable network access for growing data traffic. Under such circumstances, Software Defined Mobile Network (SDMN) is presented as a promising solution for meeting the wireless data demands. This paper provides a survey of SDMN and its related security problems. As SDMN integrates cloud computing, SDN, and NFV, and works on improving network functions, performance, flexibility, energy efficiency, and scalability, it is an important component of the next generation telecommunication networks. However, the SDMN concept also raises new security concerns. We explore relevant security threats and their corresponding countermeasures with respect to the data layer, control layer, application layer, and communication protocols. We also adopt the STRIDE method to classify various security threats to better reveal them in the context of SDMN. This survey is concluded with a list of open security challenges in SDMN.

The evolution of software defined networking (SDN) has played a significant role in the development of next-generation networks (NGN). SDN as a programmable network having “service provisioning on the fly” has induced a keen interest both in academic world and industry. In this article, a comprehensive survey is presented on SDN advancement over conventional network. The paper covers historical evolution in relation to SDN, functional architecture of the SDN and its related technologies, and OpenFlow standards/protocols, including the basic concept of interfacing of OpenFlow with network elements (NEs) such as optical switches. In addition a selective architecture survey has been conducted. Our proposed architecture on software defined heterogeneous network, points towards new technology enabling the opening of new vistas in the domain of network technology, which will facilitate in handling of huge internet traffic and helps infrastructure and service providers to customize their resources dynamically. Besides, current research projects and various activities as being carried out to standardize SDN as NGN by different standard development organizations (SODs) have been duly elaborated to judge how this technology moves towards standardization.

Software defined network (SDN) decouples the network control and data planes. Despite various advantages of SDNs, they are vulnerable to various security attacks such anomalies, intrusions, and Denial-of-Service (DoS) attacks and so on. On the other hand, any anomaly and intrusion in SDNs can affect many important domains such as banking system and national security. Therefore, the anomaly detection topic is a broad research domain, and to mitigate these security problems, a great deal of research has been conducted in the literature. In this paper, the state-of-the-art schemes applied in detecting and mitigating anomalies in SDNs are explained, categorized, and compared. This paper categorizes the SDN anomaly detection mechanisms into five categories: (1) flow counting scheme, (2) information-based scheme, (3) entropy-based scheme, (4) deep learning, and (5) hybrid scheme. The research gaps and major existing research issues regarding SDN anomaly detection are highlighted. We hope that the analyses, comparisons, and classifications might provide directions for further research.

Owing to the variety of ways to view the Internet and the changes in user behavior on the Internet, network traffic has been explosively growing in recent years. Users can watch high-quality videos on the Internet; it is a critical issue to reduce network traffic and increase the user's quality of experience (QoE). Therefore, there have been in-network caching services that cache the content that had been fetched by the user in a proxy server. Meanwhile, the software-defined network (SDN) has been developed to implement the network function through the virtualization function. Programmers can implement customized network functions using the SDN architecture. In this paper, we proposed an Extended SDN Cache service architecture (ESC). The ESC decomposes the function of inspecting incoming traffic, making cache decisions, and caching content to three network entities. This design can reduce the load of a single network entity. To reduce the load of the SDN controller, we utilize an extended OpenFlow switch named the DPI (deep packet inspection) switch, which can inspect the incoming traffic. The ESC designed a mechanism that can cache the different parts of a video in distinct cache nodes. The distributed content storage mechanism can increase the cache capability and the system's flexibility. We use the M/M/1 queuing model to analyze the average queuing delay time and compare the ESC queuing delay time with the C-flow and the OpenCache. The numerical analysis results show that the ESC queuing delay is shorter than the other two.

Power communication network is very important for the management of the power system. With the exponential growth of the power equipment and the drastic increase in the amount of power monitoring data, there is a huge challenge for the smart network access of the power communication network. Then, software defined network (SDN) which is flexible and scalable is suitable for the power communication network. In order to increase the high quality of service (QoS) of provided communication for users, the traffic QoS sensing is the key of the smart network access in the power communication network. Then, we propose a SDN-Based active measurement method to measure the evaluation parameters of the smart network access in the power communication network. Firstly, we introduce the instructions provided by the OpenFlow protocol, which can be used to collect statistics from OpenFlow switches. Secondly, we define the parameters that should be measured in the power communication network to evaluate the performance of the network and give the corresponding measurement method with them. Next, we proposed a SDN-based active measurement algorithm that updates its measurement interval based on the measurement throughput changes. Finally, we built a simulation platform using the Mininet simulator and the POX controller to verify the proposed measurement method, and the simulation results show the accuracy of our proposed method and the measurement load of our proposed method are both better than that of Polling measurement methods.