Computer
Sama Salam Samaan; Hassan Awheed Jeiad
Abstract
Traditional network abilities have a drastic shortage in the current networking world. Software-Defined Networking (SDN) is a revival development in the networking domain that provides separation of control and data planes, enlarges the data plane granularity, and simplifies the network devices. All ...
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Traditional network abilities have a drastic shortage in the current networking world. Software-Defined Networking (SDN) is a revival development in the networking domain that provides separation of control and data planes, enlarges the data plane granularity, and simplifies the network devices. All these factors accelerate and automate the evolution of new services. However, when the SDN network topology becomes large, it poses new challenges in security, traffic management, and scalability due to the vast amounts of traffic data generated and the need for additional controllers to manage the significant number of networking devices. On the other hand, big data has become an attractive trend that can enhance network performance in general, specifically SDN. Both SDN and big data have gained great attraction from industry and academia. Traditionally, these two subjects have been studied separately in most of the preceding works. However, big data can impact the design and implementation of SDN thoroughly. This paper presents how big data can support SDN in various aspects, including intrusion detection, traffic monitoring, and controller scalability and resiliency. We suggest several approaches toward deeper cooperation between big data and SDN.
Computer
Sama Salam Samaan; Hassan Awheed Jeiad
Abstract
Modelling computer networks in general, particularly Software Defined Networking (SDN) as a graph, is beneficial in network planning and design, configuration management, traffic analysis, and security. According to the dynamic nature of SDN, it needs a fast response due to the rapid changes in the network ...
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Modelling computer networks in general, particularly Software Defined Networking (SDN) as a graph, is beneficial in network planning and design, configuration management, traffic analysis, and security. According to the dynamic nature of SDN, it needs a fast response due to the rapid changes in the network state. The SDN network topology can be modelled as a graph and stored in a graph database, and the traffic load of each switch is stored in the created graph. Consequently, a graph processing framework can be used to process the stored traffic data, and the results are utilized in traffic engineering to assist the SDN controller in network management. This paper provides a comprehensive literature survey involving graph techniques applied to SDN. Then, a summary of graph algorithms is presented. In addition, an overview of graph databases and graph processing frameworks is displayed. Finally, a model is suggested to integrate the graph database and graph processing framework in SDN traffic analysis.
Computer
Salah Sabah Abed; Mohammed Natiq Fadhil
Abstract
The most attractive study framework among academics is Software Define Networking Networking SDN, which aims to create the Internet with an architecture- independent architecture that will lead to the most significant advances in the network field. This can solve many network problems to deal with high ...
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The most attractive study framework among academics is Software Define Networking Networking SDN, which aims to create the Internet with an architecture- independent architecture that will lead to the most significant advances in the network field. This can solve many network problems to deal with high demand changes and reduce Replenishment, changes and less manual work. Because of the limited architecture of traditional networks, which requires modifications in the basic design, network expansion has been mature and slow. Since 2010, until now, the ODL - OpenDayLight model has been proposed to solve most of the problems that guide network engineers in the process of managing complex high-volume networks by top research-oriented universities around the world. Now is the time to turn dreams into reality by putting the presented ideas into action, which will result in a solution that meets the expectations of the researcher regarding the process of managing complex networks and all forms of networks. This document is an attempt to assist researchers in implementing a software identification network infrastructure on which the research community may focus on further analysis and development. We demonstrated an incremental approach to implementing ODL - OpenDayLight Controller (ODL is a JVM program and can run from any operating system and device as long as it supports Java) from the Software Define Network, as well as creating and executing required scenarios, and illustrate the working nature of ODL - OpenDayLight compared to ryu contrlloer, in this paper Research.
Afrah Salman Dawood; Mohammed Najm Abdullah
Abstract
Being able to send different types of data (i.e. text, audio, or video) through thenetwork is the most important aspect of networks. Different networks have different issuesand restrictions while sending data. These restrictions are basically the QoS (Quality ofService) metrics and security. The recent ...
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Being able to send different types of data (i.e. text, audio, or video) through thenetwork is the most important aspect of networks. Different networks have different issuesand restrictions while sending data. These restrictions are basically the QoS (Quality ofService) metrics and security. The recent Software-Defined Networking (SDN) that aimsto separate the control plane from the data plane can be applied where Businessrequirements are not responsible for the way the network is configured; instead, it is theresponsibility of the high-level business policies and objectives. SDN gives preferabletechniques for centralized dynamic management and control configurations. In this work,a proposed model has been estimated and discussed to promote QoS requirements in somesuggested topologies. Adaptive Resource Management (ARM) and control to send differenttypes of data through different hosts have been investigated. The intended requirementsare basically the capacity and delay of traffic metrics sent through different hosts throughthe network. It produces a mathematical model and implementation for three proposedalgorithms to enhance the quality of a sample video sent from source host to destinationhost by Visible Light Communication (VLC)-media player in three different topologies.These algorithms (statistical, MOGA, and PSO) have been implemented using Mininetemulator, FNSS tool, PULP, and network libraries; with two types of controllers whichare Floodlight and OVS under Linux operating system and in python programminglanguage.
