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.

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.

TRANSMISSION RELIABILITY OF A STOCHASTIC IMPERFECT VERTEX COMPUTER NETWORK WITH PACKET UNRELIABILITY AND TIME ATTRIBUTES

2013 ◽  
Vol 20 (05) ◽  
pp. 1350018
Author(s):  
YI-KUEI LIN ◽  
CHENG-FU HUANG
Keyword(s):  
Network Topology ◽  
Packet Loss ◽  
Data Center ◽  
Computer Network ◽  
Packet Delay ◽  
Solution Procedure ◽  
Transmission Reliability ◽  
Reliability Issue ◽  
Internet Data Center

Quality of the received data at the sink can be based on packet delay, packet errors, packet loss, etc. From the viewpoint of quality of service (QoS), the packet unreliability (PU) and transmission time are both of critical attributes to assess internet quality for supervisor and customers. A computer system is usually modeled as a network topology with arcs and vertices where each arc denotes a transmission medium and each vertex represents an Internet data center. Due to failure, partial failure, maintenance, etc., each component (arc or vertex) should be considered as stochastic. The network with imperfect vertices is more complex to evaluate the reliability issue because vertex failure results in the disablement of adjacent arcs. Such a network named a stochastic imperfect vertex computer network (SIVCN) is addressed in this paper. We study how the data can be delivered through multiple minimal paths simultaneously within both permitted PU and time constraint. A solution procedure comprising two efficient algorithms is proposed to assess transmission reliability accordingly.

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.

Performance Analysis of QMF Filter Bank For Wireless Voip in Pervasive Environment

2019 ◽  
Vol 12 (4) ◽  
pp. 349-353
Author(s):  
Ravindra Luhach ◽  
Chandra K. Jha ◽  
Ashish K. Luhach
Keyword(s):  
Packet Loss ◽  
Filter Bank ◽  
Computer Network ◽  
Voice Quality ◽  
The Public ◽  
Quadrature Mirror Filter ◽  
Delay Jitter ◽  
Pervasive Environment ◽  
Communication Method

Background: Voice over Internet Protocol (VoIP) has emerged as one of the most significant technology in the field of communication and evolved as a substitute to the conventional communication method as the Public Switched Telephone Network (PSTN). Along with the advantages such as scalability and security, VoIP has some threats such as voice quality and interference that must be dealt with. The voice quality in VoIP is degraded when transmitted over a computer network due to delay, jitter and packet loss etc. Packet loss is one of major reasons for the signal quality degradation. Objective: In this research article, Quadrature Mirror Filter Bank (QMF) has been implemented in wireless VoIP system to enhance the quality of the signals transmitted. Results: The performance has been evaluated under varying network conditions of packet loss. Conclusion: Significant improvement has been observed in the quality of VoIP signal.

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%.

Research of Optimizing Computer Network Based on Dynamism Theory

2014 ◽  
Vol 556-562 ◽  
pp. 5356-5358
Author(s):  
Lin Cai
Keyword(s):  
Dynamic Optimization ◽  
Packet Loss ◽  
Computer Network ◽  
Network Services ◽  
Scheduling Problems ◽  
Network Service ◽  
Markov Decision ◽  
Fast Development ◽  
And Task

With the fast development of computer network services, the needs of every service is developing. To guarantee a effective computer network service we should improve the key quality of service (QoS) of each computer network service. Related QoS evaluating indexes mainly include throughput, delay time and packet loss of network. A optimizing method offers a theory support to a better computer network service quality and dynamic optimization is one of the most popular theoretical tools to study resource allocation and task scheduling problems in computer systems and computer networks. This text mainly introduces Markov decision process and Markov decision Petri nets.

scholarly journals Evaluation of Internet Generations on Wireless Network: A Survey

2020 ◽  
Vol 11 (2) ◽  
pp. 55-61
Author(s):  
Puninder Kaur ◽  
Taruna Sharma ◽  
Jaswinder Singh
Keyword(s):  
Quality Of Service ◽  
Computer Network ◽  
Positive Impact ◽  
Service Performance ◽  
The Internet ◽  
Internet Protocols ◽  
Key Features ◽  
New Generation ◽  
Global Computer

In the recent era, the demand of the internet is increasing. The Internet is global computer network that provide the sharing of data and information. Internet is useful in every field. It modifies the way of working, living style and contributed positive impact on our life. With the raising of the demand new tools and technologies are developed. The internet is classified in various generations depends on the functionality and key features. In this paper the generations of the internet and functionality are discussed. The internet has 1.0, 2.0, and 3.0 that provides internet protocols. Internet 4.0 and 5.0 are grownup and it works on wireless and sensor network devices. With the development of new generation the data rate, flexibility, Quality of service, performance and many other features are improved. In this survey focus on the features, techniques and tools provided by each generation.

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.

Sign in / Sign up

Export Citation Format

Share Document