scholarly journals On the features of Software Defined Networking for the QoS provision in data networks

Inge CUC ◽  
2018 ◽  
Vol 14 (2) ◽  
pp. 106-115
Author(s):  
Jonier Hernando Porras Duque ◽  
Daniel Orlando Ducuara Beltrán ◽  
Gustavo Adolfo Puerto Leguizamón
Keyword(s):  
Quality Of Service ◽  
Network Architecture ◽  
Software Defined Networking ◽  
Data Networks ◽  
Centralized Control ◽  
Transport Services ◽  
Use Of Resources ◽  
Fast Evolution ◽  
Base Network

Introduction: The traditional networks mostly implement devices where the control plane is distributed and mixed with the data plane; this fact does not allow a fast evolution towards a process that contributes to improving the transport of services. Otherwise, Software Defined Networking is a set of transport services that optimize the use of resources as these have a centralized network structure. Objective: To determine the aspects that enable software-defined networking to provide quality of service features in data networks. Methodology: This study is performed through network simulation over the same base network and under the same working conditions by carrying out measurements of the packet forwarding response time and management of the transported bandwidth. This study includes the demonstration of the multimedia content transport over a network architecture defining priorities to the links. Results: The outcomes show how the Software Defined Networking achieves better management of data transmission through the base network. In the same way, the previous outcomes are reinforced with those obtained in the quality of service test performed on the streaming of a multimedia flow. Conclusions: Due to the centralized control of Software Defined Networking, forwarding functions with the quality of service features are enabled in data networks based on layer-2 devices.

scholarly journals Assuring Quality of Service by Using Openflow Protocol

2017 ◽  
Vol 9 (3) ◽  
pp. 329-333
Author(s):  
Liudas Duoba
Keyword(s):  
Quality Of Service ◽  
Software Defined Networking ◽  
New Method ◽  
Data Networks ◽  
Network Intelligence ◽  
Network Device

OpenFlow currently is the only one protocol that can implement ideas of the Software Defined Networking pioneers. The Protocol is unique because of ability to separate any network device control and data planes. All network intelligence is (logically) centralized in dedicated controllers. Objective of this article to propose a new method that enhances QoS in data networks by using OpenFlow protocol.

scholarly journals KLASIFIKASI PENGGUNAAN PROTOKOL KOMUNIKASI PADA TRAFIK JARINGAN MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR

2016 ◽  
Vol 16 (1) ◽  
pp. 67
Author(s):  
Komang Kompyang Agus Subrata ◽  
I Made Oka Widyantara ◽  
Linawati Linawati
Keyword(s):  
Quality Of Service ◽  
Network Traffic ◽  
Network Architecture ◽  
Nearest Neighbor ◽  
Computer Network ◽  
Data Communication ◽  
Data Capture ◽  
K Nearest Neighbor ◽  
High Level

ABSTRACT—Network traffic internet is data communication in a network characterized by a set of statistical flow with the application of a structured pattern. Structured pattern in question is the information from the packet header data. Proper classification to an Internet traffic is very important to do, especially in terms of the design of the network architecture, network management and network security. The analysis of computer network traffic is one way to know the use of the computer network communication protocol, so it can be the basis for determining the priority of Quality of Service (QoS). QoS is the basis for giving priority to analyzing the network traffic data. In this study the classification of the data capture network traffic that though the use of K-Neaerest Neighbor algorithm (K-NN). Tools used to capture network traffic that wireshark application. From the observation of the dataset and the network traffic through the calculation process using K-NN algorithm obtained a result that the value generated by the K-NN classification has a very high level of accuracy. This is evidenced by the results of calculations which reached 99.14%, ie by calculating k = 3. Intisari—Trafik jaringan internet adalah lalu lintas ko­mu­nikasi data dalam jaringan yang ditandai dengan satu set ali­ran statistik dengan penerapan pola terstruktur. Pola ter­struktur yang dimaksud adalah informasi dari header paket data. Klasifikasi yang tepat terhadap sebuah trafik internet sa­ngat penting dilakukan terutama dalam hal disain perancangan arsitektur jaringan, manajemen jaringan dan keamanan jari­ngan. Analisa terhadap suatu trafik jaringan komputer meru­pakan salah satu cara mengetahui penggunaan protokol komu­nikasi jaringan komputer, sehingga dapat menjadi dasar pe­nen­tuan prioritas Quality of Service (QoS). Dasar pemberian prio­ritas QoS adalah dengan penganalisaan terhadap data trafik jaringan. Pada penelitian ini melakukan klasifikasi ter­hadap data capture trafik jaringan yang di olah menggunakan Algoritma K-Neaerest Neighbor (K-NN). Apli­kasi yang digu­nakan untuk capture trafik jaringan yaitu aplikasi wireshark. Hasil observasi terhadap dataset trafik jaringan dan melalui proses perhitungan menggunakan Algoritma K-NN didapatkan sebuah hasil bahwa nilai yang dihasilkan oleh klasifikasi K-NN memiliki tingkat keakuratan yang sangat tinggi. Hal ini dibuktikan dengan hasil perhi­tungan yang mencapai nilai 99,14 % yaitu dengan perhitungan k = 3. DOI: 10.24843/MITE.1601.10

Service quality in TINA: quality of service trading in open network architecture

1998 ◽  
Vol 36 (8) ◽  
pp. 122-130 ◽  
Author(s):  
T. Hamada ◽  
S. Hogg ◽  
J. Rajahalme ◽  
C. Licciardi ◽  
L. Kristiansen ◽  
...  
Keyword(s):  
Quality Of Service ◽  
Service Quality ◽  
Network Architecture ◽  
Open Network
Sign in / Sign up

Export Citation Format

Share Document