scholarly journals Optimization of Universitas Riau Data Network Management Using Software Defined Network (SDN)

2019 ◽  
Vol 2 (3) ◽  
pp. 10-14
Author(s):  
Ery Safrianti ◽  
Linna Oktaviana Sari ◽  
Rian Arighi Mahan
Keyword(s):  
Quality Of Service ◽  
Network Management ◽  
Packet Loss ◽  
Computer Network ◽  
Network Technology ◽  
Software Defined Network ◽  
Measurement Results ◽  
Simulation Results ◽  
The University

Computer networks are one of the main parts in the telecommunications system. To support reliable network technology, a centralized network is needed so that network traffic can be managed more easily. Software-Defined Network (SDN) technology is a centralized network that provides a separation between control planes and data planes in different systems. This study discusses the optimization of network management at the University of Riau (UNRI) using SDN. Optimization is done by designing a UNRI computer network in the form of SDN then simulated using the Mininet. Quality of Service (QoS) analysis is performed from the measurement results using Wireshark. The network simulation results give a delay value of 0.506 ms, 0% packet loss, the throughput of 590,392 Mb / s and jitter of 0.093 ms. The SDN network provides better delay and jitter performance compared to conventional UNRI networks with a delay value of 13,874 ms, 0% packet loss, 635.1 Mb/s throughput and 2.6 ms jitter. UNRI's SDN network design is worth considering because it has better QoS values, delay, and jitter below ITU standards and conventional networks.

scholarly journals Analysis Quality of Service Wireless LAN at University PGRI Yogyakarta

2018 ◽  
Vol 6 (1) ◽  
pp. 9
Author(s):  
Nur Kukuh Wicaksono ◽  
Bambang Sugiantoro
Keyword(s):  
Quality Of Service ◽  
Packet Loss ◽  
Wireless Lan ◽  
Educational Institution ◽  
The Internet ◽  
Average Delay ◽  
Observation Methods ◽  
The University ◽  
Internet Network

PGRI University of Yogyakarta is an educational institution that uses the internet as one of the supporting facilities and infrastructures to manage and organize the data and information used by the student to find references about the lecture. PGRI University Yogyakarta has three buildings on the main campus building A building B and C buildings, where each building using wireless LAN as a means for students to use the internet network, the weakness of the wireless LAN network where poor internet network in the wireless LAN network. Thus the researchers wanted to analyze the Quality of Service wireless LAN networks in building A, building B, and C buildings, in each floor.With the existence of quality of the network at PGRI University of Yogyakarta will be done by interviews and observation methods, problems that occur in wireless LAN networks in each building have been prepared in advance, after which it will do an analysis of wireless LAN networks using quality of service parameters, namely delay, packet loss, bandwidth, throughput and factors that influence the wireless network at the University of PGRI Yogyakarta.The results of the measurement and monitoring of Quality of Service wireless LAN at PGRI University of Yogyakarta in building A, building B, C on each floor of the building can be classified in the category of poor with the average delay for each building to around 150 ms and packet loss = 28%, bandwidth = 173523 bits / s and throughput = 22%, and the factors that occurred in the signal range cannot cover every room in every building. From these results it can be concluded that the quality of the wireless LAN at the University PGRI Yogyakarta according to the TIPHON standards categorized as poor.

ANALISA PERFORMANSI CONTROLLER PADA ARSITEKTUR JARINGAN SOFTWARE DEFINED NETWORK (SDN)

Repositor ◽  
2020 ◽  
Vol 2 (12) ◽  
pp. 1727
Author(s):  
Agung Dwi Rahmawan ◽  
Syaifuddin Syaifuddin ◽  
Diah Risqiwati
Keyword(s):  
Packet Loss ◽  
Network Architecture ◽  
Computer Network ◽  
Destination Node ◽  
Software Defined Network ◽  
Control Plane ◽  
Value Analysis ◽  
Background Traffic ◽  
Data Plane

AbstrakSoftware Defined Network (SDN) merupakan sebuah konsep pendekatan baru dalam jaringan untuk mendesain, membangun serta mengelola suatu jaringan komputer. Konsep ini melakukan pemisahan terhadap Data Plane dan Control Plane. Dalam konsep SDN ini terdapat suatu komponen penting yang bertanggung jawab terhadap segala aturan dalam pengelolaan dan pendistribusian informasi terhadap seluruh perangkat jaringan yaitu Controller. Karena peran Controller yang penting maka performa dari Controller perlu diuji sehingga dapat mengetahui kemampuan dari Controller yang digunakan. Dalam penelitian ini dilakukan perbandingan analisis nilai Quality of Services (QoS) terhadap implementasi SDN menggunakan Controller Floodlight dan Ryu dengan menjalankan topologi linear dan mesh dalam jumlah Switch yang beragam mulai dari 4, 8, 12 dan 16 Switch. Selama pengujian berlangsung dari node sumber ke node tujuan yang sama juga dialiri variasi background traffic mulai dari 50 hingga 200 Mbps.  Hasil yang didapatkan yaitu Controller Ryu memiliki nilai QoS yang lebih baik dari floodlight pada semua topologi yang diujikan, nilai latency dan jitter pada floodlight lebih tinggi dari ryu serta cenderung meningkat pada traffic 100 Mbps Pada throughput, ryu memiliki nilai lebih tinggi dengan kisaran 856-933 Kbps. Sedangkan pada packet loss floodlight lebih tinggi sementara ryu hanya memiliki rata-rata packet loss sebesar 0,5%. Namun pada pengujian hanya pada jumlah switch, floodlight menjamin dalam tingkat respons serta pengelolaan data yang besar di dalam arsitektur jaringan SDN.Abstract Software Defined Network (SDN) is a concept of a new approach in networking to design, build and manage a computer network. This concept separates the Data Plane and Control Plane. In this SDN concept there is an important component that is responsible for all rules in the management and distribution of information to all network devices that is Controller. Due to the important Controller role then the performance of the Controller needs to be tested so as to know the ability of the Controller to use. In this study, a comparison of Quality of Service (QoS) value analysis on SDN implementation using Floodlight and Ryu Controller by running linear and mesh topology in varying number of Switches ranging from 4, 8, 12 and 16 Switch. During the test from the source node to the same destination node is also varies background traffic ranging from 50 to 200 Mbps. The result is that Controller Ryu has better QoS value than floodlight on all tested topologies, the latency and jitter values on the floodlight are higher than ryu and tend to increase on 100 Mbps traffic. Throughput On ryu. have a higher value with the range of 856-933 Kbps. While the packet loss floodlight higher while ryu only have an average packet loss of 0.5%. But on testing only on the number of switches, the floodlight guarantees great response rates and data management within the SDN network architecture.

Analisis Quality Of Service (QoS) pada Jaringan VPN dan MPLS VPN Menggunakan GNS3

2019 ◽  
Vol 5 (2) ◽  
pp. 98-107
Author(s):  
Mardianto Mardianto
Keyword(s):  
Packet Loss ◽  
Computer Network ◽  
Internet Usage ◽  
Measurement Results ◽  
Mpls Vpn ◽  
Medium Quality ◽  
Routing Technology ◽  
Quality Value ◽  
Global Computer

The ever-increasing internet is an ISP challenge for the future of the expected global computer network traffic and QoS needs. To maintain competitive ISPs in Indonesia with the development of internet usage, the demand for QoS must be increased. MPLS VPN networks combine layer 2 switching technology with layer 3 routing technology. MPLS VPN networks have emerged as technologies that meet VPN requirements such as private IP, and the ability to support overlapping addresses in resolving speed and QoS problems. The method used is experimental research. From the measurement results obtained by VPN and MPLS VPN network delay has a very good delay value. For throughput on VPN networks have medium quality and MPLS VPN networks have good quality. And for the packet loss value for both types of networks is 0%. This shows that MPLS VPN network throughput has better QoS while for delay and packet loss on VPN and MPLS VPN networks have the same quality value.

Protocol Functions

2011 ◽  
pp. 38-56
Author(s):  
Tibor Dulai
Keyword(s):  
Quality Of Service ◽  
Network Management ◽  
Performance Management ◽  
Technology Development ◽  
Network Technology ◽  
Future Trends ◽  
Multimedia Transmission ◽  
Accounting Management ◽  
Basic Protocol

After the introduction of basic protocol functions, this chapter deals with the advanced functions of communications protocols that are especially highlighted in network management and multimedia transmission. This chapter deals with the most important aspects of the network management: security management, performance management, accounting management, fault management, configuration management, and mobility management. During multimedia transmission over a well-managed network, another important question arises: How to ensure desired quality of service? This chapter presents methods for quality management, too. Finally, this chapter collects future trends of protocol functions based on the present directions of network technology development.

Penggunaan Virtual Machine untuk Mengoptimalkan Server pada Cloud Gaming dengan GamingAnywhere

2020 ◽  
Vol 4 (6) ◽  
pp. 1028-1035
Author(s):  
Tiko Hadi Prabowo ◽  
Sofia Naning Hertiana ◽  
Sussi Sussi
Keyword(s):  
Virtual Machine ◽  
Packet Loss ◽  
Virtual Machines ◽  
Network Technology ◽  
Memory Usage ◽  
Measurement Results ◽  
Cpu Usage ◽  
Minimum Bandwidth ◽  
Game Industry

The development of the game industry is increasingly advanced until the emergence of cloud gaming network technology. Cloud gaming allows low-spec clients to play high-spec games. An open-source cloud gaming platform is GamingAnywhere. In this study, we will implement a cloud gaming server using GamingAnywhere and combine it with a virtual machine. The virtual machines that will be used are VirtualBox and VMware. This research is aimed at providing information about resource usage on servers and clients as well as Quality of Service (QoS) and Frames Per Second (FPS) from GamingAnywhere running on virtual machines. From the results of server measurements it only takes 12-21% CPU usage, 5-7% GPU usage, and 75-77% memory usage for VirtualBox and 17-26% CPU usage, 26-35% GPU usage, and 64-65% memory usage for VMware. From the FPS measurement results obtained on the client, it has an average of more than 59 fps for the three test games when GamingAnywhere is running on VirtualBox, VMware, and without using a virtual machine. From the measurement results, to get optimal QoS in accessing games with GamingAnywhere, a minimum bandwidth of 5 Mbps is needed and the distance between the client and the router is a maximum of 7 meters. If the bandwidth is less than 5 Mbps, the system experiences a delay of ± 0.003 seconds and the packet loss is more than 10%.

ANALISIS DE CALIDAD DE SERVICIO EN REDES IPv6

2016 ◽  
Vol 26 (1) ◽  
pp. 7
Author(s):  
Jose Carlos Tavara Carbajal
Keyword(s):  
Quality Of Service ◽  
Packet Loss ◽  
Traffic Control ◽  
Video Traffic ◽  
Control Software ◽  
Delay Jitter ◽  
End To End Delay ◽  
Analysis Of Results ◽  
Ipv6 Protocol

RESUMENEste documento tiene como objetivo analizar el comportamiento de la calidad del servicio del protocolo IPv6 sobre el tráfico de video, para esto se realizó sobre un entorno real y se llevó acabo el análisis de resultados a través de un software estadístico de control del tráfico.Palabras Clave.-  Calidad de Servicio, Ancho de Banda, Retardo, Fluctuación de Retardo, Pérdidas de Paquetes.ABSTRACTThis paper has aimed to analyze of the service quality of the IPv6 protocol on video traffic, this was about a real environment and was conducted analysis of results through statistical traffic control software. Key words- Quality of Service, Bandwidth, End to end delay, Jitter, Packet loss.

ANALISIS DE CALIDAD DE SERVICIO EN REDES IPv6

2016 ◽  
Vol 26 (1) ◽  
pp. 1
Author(s):  
Jose Carlos Tavara Carbajal
Keyword(s):  
Quality Of Service ◽  
Packet Loss ◽  
Traffic Control ◽  
Video Traffic ◽  
Control Software ◽  
Delay Jitter ◽  
End To End Delay ◽  
Analysis Of Results ◽  
Ipv6 Protocol

Este documento tiene como objetivo analizar el comportamiento de la calidad del servicio del protocolo IPv6 sobre el tráfico de video, para esto se realizó sobre un entorno real y se llevó acabo el análisis de resultados a través de un software estadístico de control del tráfico.Palabras Clave.-  Calidad de Servicio, Ancho de Banda, Retardo, Fluctuación de Retardo, Pérdidas de Paquetes.ABSTRACT  This paper has aimed to analyze of the service quality of the IPv6 protocol on video traffic, this was about a real environment and was conducted analysis of results through statistical traffic control software.  Key words.- Quality of Service, Bandwidth, End to end delay, Jitter, Packet loss.

ANALISIS DE CALIDAD DE SERVICIO EN REDES IPv6

2016 ◽  
Vol 26 (1) ◽  
pp. 7
Author(s):  
Jose Carlos Tavara Carbajal
Keyword(s):  
Quality Of Service ◽  
Packet Loss ◽  
Traffic Control ◽  
Video Traffic ◽  
Control Software ◽  
Delay Jitter ◽  
End To End Delay ◽  
Analysis Of Results ◽  
Ipv6 Protocol

RESUMENEste documento tiene como objetivo analizar el comportamiento de la calidad del servicio del protocolo IPv6 sobre el tráfico de video, para esto se realizó sobre un entorno real y se llevó acabo el análisis de resultados a través de un software estadístico de control del tráfico.Palabras Clave.-  Calidad de Servicio, Ancho de Banda, Retardo, Fluctuación de Retardo, Pérdidas de Paquetes.ABSTRACTThis paper has aimed to analyze of the service quality of the IPv6 protocol on video traffic, this was about a real environment and was conducted analysis of results through statistical traffic control software. Keywords- Quality of Service, Bandwidth, End to end delay, Jitter, Packet loss.

scholarly journals On the Design of Efficient Hierarchic Architecture for Software Defined Vehicular Networks

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1400
Author(s):  
Muhammad Adnan ◽  
Jawaid Iqbal ◽  
Abdul Waheed ◽  
Noor Ul Amin ◽  
Mahdi Zareei ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Quality Of Service ◽  
Traffic Management ◽  
Vehicular Networks ◽  
Scheduling Algorithm ◽  
Main Research ◽  
First Come First Serve ◽  
Computing Framework ◽  
Simulation Results

Modern vehicles are equipped with various sensors, onboard units, and devices such as Application Unit (AU) that support routing and communication. In VANETs, traffic management and Quality of Service (QoS) are the main research dimensions to be considered while designing VANETs architectures. To cope with the issues of QoS faced by the VANETs, we design an efficient SDN-based architecture where we focus on the QoS of VANETs. In this paper, QoS is achieved by a priority-based scheduling algorithm in which we prioritize traffic flow messages in the safety queue and non-safety queue. In the safety queue, the messages are prioritized based on deadline and size using the New Deadline and Size of data method (NDS) with constrained location and deadline. In contrast, the non-safety queue is prioritized based on First Come First Serve (FCFS) method. For the simulation of our proposed scheduling algorithm, we use a well-known cloud computing framework CloudSim toolkit. The simulation results of safety messages show better performance than non-safety messages in terms of execution time.

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