scholarly journals OPTIMIZATION OF WIRELESS NETWORK PERFORMANCE USING THE HIERARCHICAL TOKEN BUCKET (CASE STUDY: MUHAMMADIYAH UNIVERSITY OF PALEMBANG)

2019 ◽  
Vol 1 (1) ◽  
pp. 49-59
Author(s):  
Yukos Pratama ◽  
Heri Suroyo
Keyword(s):  
Quality Of Service ◽  
Packet Loss ◽  
Network Performance ◽  
High Mobility ◽  
Bandwidth Management ◽  
Token Bucket ◽  
Very High ◽  
Tree Method

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

scholarly journals OPTIMIZATION OF WIRELESS NETWORK PERFORMANCE USING THE HIERARCHICAL TOKEN BUCKET (CASE STUDY: MUHAMMADIYAH UNIVERSITY OF PALEMBANG)

2019 ◽  
Vol 1 (1) ◽  
pp. 49-59
Author(s):  
Yukos Pratama ◽  
Heri Suroyo
Keyword(s):  
Quality Of Service ◽  
Packet Loss ◽  
Network Performance ◽  
High Mobility ◽  
Bandwidth Management ◽  
Token Bucket ◽  
Very High ◽  
Tree Method

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

scholarly journals OPTIMIZATION OF WIRELESS NETWORK PERFORMANCE USING THE HIERARCHICAL TOKEN BUCKET (CASE STUDY: MUHAMMADIYAH UNIVERSITY OF PALEMBANG)

2019 ◽  
Vol 1 (1) ◽  
pp. 49-59
Author(s):  
Yukos Pratama ◽  
Usman Ependi ◽  
Heri Suroyo
Keyword(s):  
Quality Of Service ◽  
Packet Loss ◽  
Network Performance ◽  
High Mobility ◽  
Bandwidth Management ◽  
Token Bucket ◽  
Very High ◽  
Tree Method

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

scholarly journals Penerapan Quality of Service Pada Jaringan Internet Menggunakan Metode Hierarchical Token Bucket

2017 ◽  
Vol 5 (1) ◽  
pp. 23
Author(s):  
Claudi Priambodo Antodi ◽  
Agung Budi Prasetijo ◽  
Eko Didik Widianto
Keyword(s):  
Quality Of Service ◽  
Packet Loss ◽  
Management System ◽  
Internet Access ◽  
The Internet ◽  
Bandwidth Management ◽  
Internet Users ◽  
Token Bucket

One of the problems frequently encountered by internet users is slow internet access. In particular, when there are many users share the internet bandwidth. This problem may occur as there is no bandwidth management system employed. HTB is one the bandwidth management system available on Linux that can be installed on a network. This research focuses on the implementation of the HTB as a bandwidth management system. Based on the testing done, it is shown that after using HTB as bandwidth manager, internet access can be controlled and every client gets bandwidth as needed. The performance achieved when HTB is employed outperforms the non-HTB scenario. With HTB, the packet loss and failed transaction are reduced more than 90%.Salah satu masalah yang sering dihadapi oleh pengguna internet adalah akses internet yang lambat. Khususnya, ketika ada banyak pengguna berbagi bandwidth internet. Masalah ini dapat terjadi karena tidak ada sistem manajemen bandwidth yang digunakan. HTB adalah salah satu sistem manajemen bandwidth yang tersedia di Linux yang dapat dipasang pada jaringan. Penelitian ini berfokus pada pelaksanaan HTB sebagai sistem manajemen bandwidth. Berdasarkan pengujian dilakukan, menunjukkan bahwa setelah menggunakan HTB sebagai pengatur bandwidth, akses internet dapat dikontrol dan setiap klien mendapatkan bandwidth yang diperlukan. Kinerja yang telah dicapai ketika HTB digunakan melebihi skenario tanpa menggunakan HTB. Dengan menggunakan HTB, jumlah paket yang hilang dan transaksi yang gagal berkurang lebih dari 90%.

scholarly journals Penerapan Manajemen Bandwidth Menggunakan Metode Hierarchical Token Bucket Pada Layanan Hotspot Mikrotik Undiksha

2020 ◽  
Vol 5 (1) ◽  
pp. 146
Author(s):  
Ketut Gede Widia Pratama Putra ◽  
Gede Saindra Santyadiputra ◽  
Made Windu Antara Kesiman
Keyword(s):  
Quality Of Service ◽  
Life Cycle ◽  
Packet Loss ◽  
Network Development ◽  
Development Life Cycle ◽  
Token Bucket

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.

scholarly journals Analisis Perbandingan Quality Of Service (Qos) Pada Performa Bandwidth Jaringan Dengan Metode Hierarchical Token Bucket (Htb) Dan Per Connection Queque (Pcq).

Respati ◽  
2020 ◽  
Vol 15 (3) ◽  
pp. 24
Author(s):  
Adytia A. Tambunan ◽  
Lukman Lukman
Keyword(s):  
Quality Of Service ◽  
Large Scale ◽  
Improve Quality ◽  
Bandwidth Management ◽  
Available Bandwidth ◽  
Service Parameter ◽  
Token Bucket ◽  
Large Scale Networks ◽  
Network Administrators

INTISARIQuality of Service (QoS) adalah cara cerdas untuk mengalokasikan bandwidth yang tersedia. Penggunaan manajemen bandwidth sebagai parameter Quality of Service tidak hanya membatasi tetapi menjaga kualitas bandwidth, sehingga semua pengguna yang terhubung dalam satu jaringan mendapatkan kualitas internet yang merata dan stabil. Ada beberapa cara untuk mengaplikasikan bandwidth managemen untuk meningkatkan Quality of Service, salah satunya yakni menggunakan mikrotik.Ada banyak metode manajemen   bandwidth yang dapat digunakan atau diterapkan pada jaringan yang menggunakan router mikrotik. Adapun yang paling sering digunakan dalam jaringan berskala menengah atau pun besar seperti metode Hierarchical Token Bucket (HTB) dan Per Connection Queue (PCQ).Penelitian ini akan melakukan analisis variabel Quality of Service (QoS) terhadap performa bandwidth dengan membandingkan dua metode antrian yaitu metode Hierarchical Token Bucket (HTB) dan metode Per Connection Queue (PCQ).  Penelitian dilakukan untuk mengetahui metode manakah lebih baik untuk di implementasikan oleh administrator jaringan agar efesien dan tepat untuk digunakan.Kata kunci: Manajemen Bandwidth, QOS, PCQ, HTB, Mikrotik. ABSTRACTQuality of Service (QoS) is a smart way to allocate available bandwidth. The use of bandwidth management as a Quality of Service parameter not only limits but maintains bandwidth quality, so that all users connected in one network get an even and stable internet quality. There are several ways to apply bandwidth management to improve Quality of Service, one of which is using a proxy.There are many bandwidth management methods that can be used or applied to networks that use a proxy router. As for what is most often used in medium or large scale networks such as the Hierarchical Token Bucket (HTB) and Per Connection Queue (PCQ) methods.This study will analyze the Quality of Service (QoS) variable on bandwidth performance by comparing two queuing methods, namely the Hierarchical Token Bucket (HTB) method and the Per Connection Queue (PCQ) method. The study was conducted to determine which method is better for network administrators to implement in order to be efficient and appropriate to use.Keywords: Bandwidth Management, QOS, PCQ, HTB, Mikrotik.

scholarly journals Performance Analysis With Wireless Lan Networks Using The Quality Of Service Method

2020 ◽  
Vol 4 (01) ◽  
pp. 45-48
Author(s):  
Anggy Wahyudi ◽  
Aulia Fitrul Hadi ◽  
Rini Sovia
Keyword(s):  
Quality Of Service ◽  
Wireless Lan ◽  
High Mobility ◽  
The World ◽  
Network Quality ◽  
Changing Times ◽  
Use Of The Internet ◽  
Use Of Internet ◽  
Very High

The use of the internet currently has very high mobility, both used for streaming, browsing, downloading and uploading data. Along with the changing times and the demands for information services that are fast, precise, and accurate, making the network a major need, especially in the world of education. The use of internet facilities requires management to manage each data. For this reason, there is a need for Quality of Service on the network to optimize the distribution of networks evenly and fairly for each client and network user. The results of the study show that network quality by implementing Quality of Service is more optimal and network distribution is more even and stable

scholarly journals Analisis Kinerja Jaringan Internet dengan Metode Class Based Queueing di Universitas Dhyana Pura

2019 ◽  
Vol 18 (1) ◽  
pp. 133
Author(s):  
I Nyoman Bernadus ◽  
Nyoman Gunantara ◽  
Komang Oka Saputra
Keyword(s):  
Higher Education ◽  
Information Technology ◽  
Quality Of Service ◽  
Packet Loss ◽  
Employee Satisfaction ◽  
Bandwidth Utilization ◽  
Bandwidth Management ◽  
Satisfaction Index ◽  
Network Bandwidth

Dhyana Pura University (Undhira) is one of the higher education institutions that utilize the advancement of information technology to achieve optimal results. The observation shows that bandwidth utilization is not well managed. On this basis, this study aims to analyze Quality of Service (QoS) with parameters throughput, delay, packet loss, jitter and bandwidth by Class Based Queuing (CBQ) methods as a queue method that regulates usage network bandwidth allocated to each user. This study also measured the level of employee satisfaction using the Customer Satisfaction Index (CSI) method. The results of this study indicate that the CBQ method is a method of bandwidth management in reducing bandwidth in crisis clients, so as to increase employee satisfaction in using internet services in the process of service for students.

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

2019 ◽  
Vol 16 (3) ◽  
pp. 1474
Author(s):  
Ahmad Khafidin ◽  
Tatyantoro Andrasto ◽  
Suryono Suryono
Keyword(s):  
Flow Control ◽  
Packet Loss ◽  
Network Performance ◽  
Control Mechanism ◽  
State University ◽  
Token Bucket ◽  
Qos Parameters ◽  
Engineering State ◽  
Internet Network

<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>

scholarly journals ANALISIS QUALITY OF SERVICE VIDEO STREAMING YOUTUBE DAN RMA WLAN DI POLITEKNIK NEGERI SRIWIJAYA

2020 ◽  
Vol 22 (2) ◽  
pp. 93
Author(s):  
Suroso Suroso ◽  
Ciksadan Ciksadan ◽  
Sholihatun Sholihatun
Keyword(s):  
Quality Of Service ◽  
Action Research ◽  
Packet Loss ◽  
Wireless Lan ◽  
Network Performance ◽  
Educational Institution ◽  
Video Quality ◽  
Good Condition ◽  
Ip Address

Sriwijaya State Polytechnic is an educational institution that provides wireless hotspots in every lecture building. With the increasing need for internet, especially on Youtube streaming, it is necessary to have an analysis in each lecture building to find out QoS (Quality of Service) and RMA (Reliability, Maintainability, and Availability) on the Wireless LAN network at Sriwijaya State Polytechnic. This study uses the Action Research method. For QoS measurement using wireshark software and Axence netTools by logging in through the hotspot for each department at the Sriwijaya State Polytechnic, to find out the performance of a network using PRTG (Paessler Router Traffic Grapher) software using the ping IP Address sensor will display the availability monitoring results. The results of the largest measurement of maximum bandwidth are 21,639,256 bit / s in the Business Administration Department, for the highest delay and jitter values are 36 ms and 0.050 ms in the KPA building (Administrative Head Office). The result of the largest packet loss is 0.093% in the Department of Electrical Engineering, for the largest throughput is 0.918 Mbit / s at 1080HD video quality in the Accounting Department. Monitoring RMA aims to determine the performance of an internet network with an Availability result of 99%, this is categorized in good condition. It can be concluded that the QoS measurement results based on the TIPHON version are categorized as very good and the RMA monitoring results have good network performance results as well.Keyword: Streaming Youtube, Parameter QoS, wireshark, RMA ABSTRAKPoliteknik Negeri Sriwijaya merupakan salah satu instansi pendidikan yang menyediakan wireless hotspot di setiap gedung kuliah. Dengan adanya kebutuhan internet yang semakin meningkat khususnya pada streaming Youtube  maka perlu adanya analisis disetiap gedung kuliah untuk mengetahui QoS (Quality of Servie) dan RMA (Reliability, Maintainability, and Availability) pada jaringan Wireless LAN di Politeknik Negeri Sriwijaya . Penelitian ini menggunakan  metode Action Research. Untuk pengukuran QoS menggunakan software wireshark dan Axence netTools dengan cara login melalui hotspot untuk masing-masing jurusan di Politeknik Negeri Sriwijaya sedangkan untuk mengetahui kinerja dari sebuah jaringan menggunakan software PRTG (Paessler Router Traffic Grapher) dengan menggunakan sensor ping IP Address akan menampilkan hasil monitoring availability. Hasil pengukuran terbesar bandwidth maksimal yaitu 21,639,256 bit/s di Jurusan Adminstrasi Bisnis, untuk  nilai delay  dan jitter tertinggi yaitu 36 ms dan 0,050 ms di gedung KPA (Kantor Pusat Administrasi). Hasil packet loss terbesar yaitu 0,093% pada Jurusan Teknik Elektro, untuk troughput  terbesar yaitu 1,681 Mbit/s pada kualitas video 1080HD pada Jurusan Akuntansi. Monitoring RMA bertujuan untuk mengetahui kinerja dari suatu jaringan internet dengan hasil Availability sebesar 99% hal ini dikategorikan dalam kondisi yang baik. Dapat disimpulkan  hasil  pengukuran  QoS berdasarkan versi TIPHON hasilnya dikategorikan sangat bagus dan untuk hasil monitoring RMA memiliki hasil kinerja jaringan  yang baik juga.Kata Kunci: Streaming Youtube, Parameter QoS, wireshark, RMA 

scholarly journals Optimization of quality of service parameters for efficient channel allocation

2018 ◽  
Vol 7 (3) ◽  
pp. 1220
Author(s):  
Aditya Saxena ◽  
Jyoti Singhai ◽  
Deepak Raghuvanshi
Keyword(s):  
Quality Of Service ◽  
Packet Loss ◽  
Network Performance ◽  
Channel Allocation ◽  
Optimization Technique ◽  
Mac Layer ◽  
Medium Access ◽  
Delay Jitter ◽  
Queueing Delay

The bandwidth-intensive network applications with aggressive quality of service (QoS) requirements requires fast and efficient networks. The wireless network performance is impacted due to multitude of data transport at uneven transmission rates on various channels and line losses leading to congestion. It is a big challenge to achieve the required QoS by managing delay, jitter, bandwidth and packet loss parame-ters on a network. This paper highlights the major causes affecting QoS and proposes an optimization technique which allocates the channel dynamically by integrating all the parameters affecting QoS across network layer, medium access control (MAC) layer and physical layer. The proposed algorithm utilizes the feedback parameters namely queueing delay, packet priority and timeout, MAC layer contention delay and packet loss ratio as inputs and a closed loop processing control for the scheduler based on fuzzy logic control (FLC). Hence, the algo-rithm is more realistic and considers the line conditions. The simulation results show that the proposed algorithm is faster and utilizes the overall network more efficiently.   

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