scholarly journals Implementation flow control to improve quality of service on computer networks

Author(s):  
Ahmad Khafidin ◽  
Tatyantoro Andrasto ◽  
Suryono Suryono

<p>Quality of Service (QoS) is the collective effect of service performances, which determine the degree of satisfaction of a user of the service. In addition, QoS defined as the ability of a network to provide good service. QoS aims to provide different quality of services for various needs in the IP network. QoS parameters that can be used to analyze the data communication services are jitter, packet loss, throughput, and delay. The quality of QoS parameters in the network is affected by congestion. Congestion occurs because there is an excessive queue in the network. Congestion can be prevented by implementing flow control on network. Flow control is a method to control the data packet flow in a network. By controlling of the data packet flow, it can improve of QoS. This study intends to find out value of QoS on the internet network at Faculty Engineering, State University of Semarang by measuring network performance using QoS parameters. Then, in this research will be implemented the token bucket method as a flow control mechanism at the network to improve the QoS. After research and data analysis, internet network at Faculty Engineering State University of Semarang has QoS value was 3,5 with 87,5 % of percentage and classified in satisfying of category. When measuring the network performance, there are decreases of performance at access point that having data rates 150 Mbps with many users connected. It has 9,0 ms of delay value, 0.046 ms of jitter, 16,6% of packet loss and, 1293407 bps of throughput. After token bucket was applied as flow control mechanism that be simulated on Graphical Network Simulator 3, the internet network has QoS values 3,75 with 93,75 % of percentage and classified as “satisfying” category. Furthermore, the percentage of the throughput value obtained on network by implementing flow control is 62%, while on the existing network is 41%.</p>

2019 ◽  
Vol 1 (1) ◽  
pp. 49-59
Author(s):  
Yukos Pratama ◽  
Heri Suroyo

Computer networks have penetrated into various fields including education for the learning process which is used as a medium for delivering scientific concepts to be more attractive and easily accepted. The Muhammadiyah University of Palembang currently has very high mobility, both used for browsing information, downloading data and using other facilities. For the need for bandwidth management to manage each passing data so that the distribution of bandwidth becomes evenly distributed by using the queue tree method that is applied to the proxy. To evaluate internet bandwidth analyze QoS (Quality of Service) using typhoid standardization in terms of measurement of throughput, delay, and packet loss. The results of this study show that the quality of the network with the hierarchical token bucket method is more optimal, this is because the bandwidth will be divided according to the rules applied to bandwidth management and does not cause clients to fight over bandwidth


2019 ◽  
Vol 1 (1) ◽  
pp. 49-59
Author(s):  
Yukos Pratama ◽  
Usman Ependi ◽  
Heri Suroyo

Computer networks have penetrated into various fields including education for the learning process which is used as a medium for delivering scientific concepts to be more attractive and easily accepted. The Muhammadiyah University of Palembang currently has very high mobility, both used for browsing information, downloading data and using other facilities. For the need for bandwidth management to manage each passing data so that the distribution of bandwidth becomes evenly distributed by using the queue tree method that is applied to the proxy. To evaluate internet bandwidth analyze QoS (Quality of Service) using typhoid standardization in terms of measurement of throughput, delay, and packet loss. The results of this study show that the quality of the network with the hierarchical token bucket method is more optimal, this is because the bandwidth will be divided according to the rules applied to bandwidth management and does not cause clients to fight over bandwidth


2019 ◽  
Vol 1 (1) ◽  
pp. 49-59
Author(s):  
Yukos Pratama ◽  
Heri Suroyo

Computer networks have penetrated into various fields including education for the learning process which is used as a medium for delivering scientific concepts to be more attractive and easily accepted. The Muhammadiyah University of Palembang currently has very high mobility, both used for browsing information, downloading data and using other facilities. For the need for bandwidth management to manage each passing data so that the distribution of bandwidth becomes evenly distributed by using the queue tree method that is applied to the proxy. To evaluate internet bandwidth analyze QoS (Quality of Service) using typhoid standardization in terms of measurement of throughput, delay, and packet loss. The results of this study show that the quality of the network with the hierarchical token bucket method is more optimal, this is because the bandwidth will be divided according to the rules applied to bandwidth management and does not cause clients to fight over bandwidth


2019 ◽  
Vol 1 (1) ◽  
pp. 28-33
Author(s):  
Akbar Akbar ◽  
Saiful Saiful

Analysis Quality of Service (QoS) Internet Network Faculty of Engineering, University of Muhammadiyah Makassar guided by Zahir Zainuddin and Rahmania. QoS parameters were observed or measured is Bandwidth, Delay, Packet Loss and throughput. This research was conducted at the Faculty of Engineering, University of Muhammadiyah Makassar, this study aims to measure, analyze and determine Kualitias Internet Network Engineering Faculty of Muhammadiyah University Makassar. To measure Delay, Packet lost and throughput using software Axence NetTools 4.0 Pro. The results of measurements of parameters of Quality of Service (QoS) Internet network is measured is the bandwidth available on Thursday, Friday and Saturday = 10240 Kbps. Delay highest in the can on Thursday = 74.66 ms, while the lowest in the delay may be on Saturdays = 62 ms. Packet loss is the highest obtained on Thursday = 5.33%, while the lowest in the lost packet can be on Saturdays = 0.33%. The highest throughput in the can on Saturdays = 357 106 bps, while the lowest in the throughput can be on Thursday = 278 039 Bps. Based on the data delay and packet loss above, Internet Network Quality Faculty of Engineering, University of Muhammadiyah Makassar categorized as very good.


2018 ◽  
Vol 10 (2) ◽  
pp. 191-201 ◽  
Author(s):  
Bambang Sugiantoro ◽  
Yuha Bani Mahardhika

ABSTRAK Performa layanan jaringan Internet pada UIN Sunan Kalijaga Fakultas Sains dan Teknologi masih belum maksimal, yaitu memiliki tingkat kualitas delay sebesar 159 milidetik menurut TIPHON Bagus. Besar Throughput sebesar 9.0 MBps dan presentase Throughput sebesar 50 % dikategorikan menurut standarisasi TIPHON sedang. Dan memiliki nilai packet loss ratio sebesar 36 % dikategorikan menurut standarisasi TIPHON adalah jelek. ABSTRACT Internet service network performance in Islamic State University of Sunan Kalijaga environment in the faculty of science and technology area is still not maximal. It has a delay quality level of 159 milliseconds according to good TIPHON. Large throughput of 9.0 Mbps and throughput percentage of 50% are categorized according to standardized of normal TIPHON and it has a value of packet loss ratio of 36% categorized according to TIPHON standardization is bad.How to Cite : Sugiantoro, B. Mahardhika, Y.B . (2017). ANALISIS QUALITY OF SERVICE JARINGAN WIRELESS SUKANET WiFi DI FAKULTAS SAINS DAN TEKNOLOGI UIN SUNAN KALIJAGA. Jurnal Teknik Informatika, 10(2), 191-201. doi:10.15408/jti.v10i2.7027Permalink/DOI: http://dx.doi.org/10.15408/jti.v10i2.7027


2020 ◽  
Vol 5 (1) ◽  
pp. 146
Author(s):  
Ketut Gede Widia Pratama Putra ◽  
Gede Saindra Santyadiputra ◽  
Made Windu Antara Kesiman

Penelitian ini bertujuan untuk mengetahui (1) Penerapan manajemen bandwidth menggunakan metode Hierarchical Token Bucket (HTB) pada layanan hotspot mikrotik Undiksha. (2) Hasil pengujian kualitas layanan internet dari parameter Quality of Service (QoS) yang sudah diterapkan menggunakan metode Hierarchical Token Bucket (HTB).Metode penelitian yang digunakan adalah menggunakan pendekatan Network Development Life Cycle (NDLC), dengan melalui beberapa tahapan yaitu analisis, desain, simulasi, implementasi, monitoring, dan manajemen. Hasil penelitian menunjukkan (1) Penerapan manajemen bandwidth HTBpada router mikrotik dengan menggabungkan layanan hotspot mikrotik, sudah berjalan dengan baik, yang dibuktikan dengan fungsi dari metode HTB bisa berjalan dengan baik. (2) Hasil pengukuran dengan menggunakan 2 metode manajemen bandwidth, diperoleh hasil rata-rata download dan upload dari metode HTB lebih besar dibandingkan dengan metode simple queue. Dan parameter packet loss, throughput, delay  dan  jitter yang dilakukan uji menggunakan aplikasi wireshark menerangkan bahwa metode HTB mendapatkan nilai rata-rata yang lebih baik dibandingkan dengan metode simple queue.


Author(s):  
Alexander Olave ◽  
Luis Felipe Valencia ◽  
Juan Carlos Cuéllar

Resumen Voz sobre IP, VoIP, es uno de los servicios con mayor desarrollo bajo plataformas inalámbricas; actualmente se ha iniciado su implementación como alternativa frente a la PSTN (red pública conmutada). El interés por VoIP radica en su relación costo-beneficio, ya que las organizaciones pueden utilizar la misma plataforma de su red de datos para transmitir voz. Por lo anterior, es importante que la organización tenga claro que, para garantizar el buen funcionamiento del servicio de VoIP, es decir para ofrecer QoS, se debe realizar la medición de parámetros que afectan la calidad del servicio como lo son: el retardo, la variación del retardo, el ancho de banda y la pérdida de paquetes. Este artículo analiza y valida los parámetros de QoS necesarios para garantizar el buen funcionamiento del servicio de VoIP sobre la red inalámbrica del campus de la Universidad Icesi. Se realizan pruebas en diferentes escenarios para mostrar que no solo factores como el retardo, y su variación, influyen en la calidad de servicio, sino que también la intensidad de la señal que recibe el cliente desde los puntos de acceso.Palabras Clave: Voz sobre IP, Calidad de servicio, Pérdida de paquetes, Retardo, Variación del Retardo, Intensidad de Señal. Abstract VoIP is one of the services that has been developing over under this type of wireless platforms and today has begun to implement as an alternative to the PSTN (Public Switched Telephone Network). The interest in VoIP is its cost-benefit ratio, and that organizations can use the same platform for their data network to transmit voice. Therefore it is important that the organization is clear that to ensure the smooth operation of the VoIP service, ie provide QoS, you must perform the measurement of parameters that affect the quality of service such as: delay, jitter, bandwidth, packet loss. In this paper we analyze and validate the QoS parameters needed to ensure the smooth operation of VoIP over wireless network on the Icesi University campus. We performed a series of tests in different scenarios to show that not only factors such as delay and jitter influencing the quality of service, but also the client signal strength received from of the AP (Access Point).Keywords: Voice over IP, Quality of service, Packet Loss, Delay, Delay variation, signal intensity.


2021 ◽  
Vol 2 (2) ◽  
pp. 127-133
Author(s):  
Icha Nurlaela Khoerotunisa ◽  
Sofia Naning Hertiana ◽  
Ridha Muldina Negara

  Over the last decade, wireless devices have developed rapidly until predictions will develop with high complexity and dynamic. So that new capabilities are needed for wireless problems in this problem. Software Defined Network (SDN) is generally a wire-based network, but to meet the needs of users in terms of its implementation, it has begun to introduce a Wireless-based SDN called Software Defined Wireless Network (SDWN) which provides good service quality and reach and higher tools, so as to be able to provide new capabilities to wireless in a high complexity and very dynamic. When SDN is implemented in a wireless network it will require a routing solution that chooses paths due to network complexity. In this paper, SDWN is tested by being applied to mesh topologies of 4,6 and 8 access points (AP) because this topology is very often used in wireless-based networks. To improve network performance, Dijkstra's algorithm is added with the user mobility scheme used is RandomDirection. The Dijkstra algorithm was chosen because it is very effective compared to other algorithms. The performance measured in this study is Quality of Service (QoS), which is a parameter that indicates the quality of data packets in a network. The measurement results obtained show that the QoS value in this study meets the parameters considered by the ITU-T G1010 with a delay value of 1.3 ms for data services and packet loss below 0.1%. When compared with the ITU-T standard, the delay and packet loss fall into the very good category.


Author(s):  
Nur Kukuh Wicaksono ◽  
Bambang Sugiantoro

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.


2020 ◽  
Vol 12 (6) ◽  
pp. 15-32
Author(s):  
Yazeed A. Al-Sbou

Monitoring of the performance of wireless network is of vital importance for both users and the service provider which should be accurate, simple and fast enough to reflect the network performance in a timely manner. The aim of this paper is to develop an approach which can infer the performance of wireless ad hoc networks based on Quality of service (QoS) parameters assessment. The developed method considers the QoS requirements of multimedia applications transmitted over these kind of networks. This approach is based on the ideas of combination of both active and passive measurement methods. This approach uses an in-service measurement method in which the QoS parameters of the actual application (user) are estimated by means of dedicated monitoring packets (probes). Afterwards, these parameters are combined to produce and assess the application’s overall QoS using the fuzzy logic assessment and based on the measured QoS parameters estimated using the probe traffic. The active scheme is used to generate monitoring probe packets which are inserted between blocks of target application packets at regular intervals. While the passive monitoring is utilized to act as a traffic meter which performs as a counter of user packets (and bytes) that belong to the application (user) traffic flow that is subjected to monitoring. After simulating the developed technique, it offered a good estimation for the delay, throughput, packet losses and the overall QoS when using different probe rates.


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