scholarly journals Analisis Penerapan Metode Antrian Hirarchical Token Bucket untuk Management Bandwidth Jaringan Internet

2018 ◽  
Vol 2 (2) ◽  
pp. 522-529
Author(s):  
Ira Puspita Sari ◽  
Sukri Sukri

Internet is one of the needs of the community, especially among education and academics such as universities. The high level of internet users is not comparable with the facilities owned by an agency, this makes the internet network manager in Higher Education feel difficult. The cause of the problem that is always a problem is the speed and internet connection is always disjointed, resulting in the slow loading process data while browsing, both at the time of download and at the time of upload. To make internet users in campus area balanced and stable then need bandwidth management based on traffic usage of internet path better. Bandwidth management that can stabilize traffic lanes and equal bandwidth distribution, it can use bandwidth management by Hierarchical Token Bucket (HTB) method. The calculation result in HTB method testing through file download, the average value obtained by TIPHON category standard for throughtput value index is 2 with "Medium" category, delay parameter index is 4 with "Very Good" category, jitter parameter index is 3 with the "Good" category and the packet loss parameter index is 4 with the "Very Good" category.  

2017 ◽  
Vol 5 (1) ◽  
pp. 23
Author(s):  
Claudi Priambodo Antodi ◽  
Agung Budi Prasetijo ◽  
Eko Didik Widianto

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%.


2021 ◽  
Vol 2 (2) ◽  
pp. 87-96
Author(s):  
Alvin Riady ◽  
Aan Restu Mukthi

Bukit Energi Servis Terpadu (BEST) is a company engaged in Operation & Maintenance (O&M) services which are members of the PT group. Bukit Asam Tbk. PT. Bukit Energi Servis Terpadu (BEST) already has a computer network in the form of adequate wired and wireless networks and has been connected to the internet. The bandwidth used for the scope of the office uses a bandwidth of 30 Mbps, but the problem of internet speed is not maximized where there is download activity and video streaming which causes the internet bandwidth in the office to be slow, thus affecting the activities of employees who are accessing the internet in the office either through wired networks and wireless internet hotspots. The results of the measurement of packet loss parameters (%) after Bandwidth Management with HTB is better, namely 0.12 % while before Bandwidth Management with HTB is carried out with a value of 0.52 %. The results of measuring the throughput parameters before using Bandwidth Management with HTB where the use of throughput after using Management Bandwidth with HTB obtained results of 624.9 kbps while the throughput before Bandwidth Management was carried out was 624.4 kbps. By limiting bandwidth using the Hierarchical Token Bucket (HTB) facility, bandwidth can be divided into certain sections or prioritized for those who need higher internet speeds, while those that do not require an internet connection are provided with a small speed.


2020 ◽  
Vol 3 (1) ◽  
pp. 8
Author(s):  
Armanto Armanto ◽  
Nelly Khairani Daulay

Abstract - One problem that is often faced by internet users is slow internet access. Specifically, when there are many users sharing internet bandwidth. This problem can occur because no bandwidth management system is used. Therefore it is necessary to apply the appropriate bandwidth management, one of which is HTB. Bandwidth management with queuing bandwidth lending techniques between classes or users. Which can allocate bandwidth according to user bandwidth requirements according to specified priorities. This study uses data collection methods, by observing and recording directly at the research site (observation), conducting question and answer directly to the source (Interview), and documentation by reading literary books. The results obtained from the measurement of QoS parameters using the HTB method on the Bina Insan University network, it can produce an average QoS index value of 3, and included in the category is good. It can be concluded that the HTB method is feasible to be applied at UNIBI in performing bandwidth management as evidenced by the 3 (three) QoS index value and has a  good category.  Keywords: Quality Of Service, Hierarchical Token Bucket, Computer Network


2019 ◽  
Vol 3 (3) ◽  
pp. 167
Author(s):  
Ronal Watrianthos ◽  
Ibnu Rasyid Munthe ◽  
Rahma Muti’ah

Along with the rapid development of Social Networking Sites (SNS), social media, recently, has become a lifestyle for many people around the world, including in Indonesia. The data in January 2018 showed that in Indonesia out of 132.7 million internet users, almost all (131 million), or up 23% from the data in 2017, were Facebook users with the dominance of 18-24 years old, 35% of whom were the highest active users. The rapid growth of Facebook users annually in Indonesia, especially in the age of students and college students, encourages researchers to conduct many empirical studies of Facebook use among students. There is a tendency for using Facebook continuously to create FAD effects (Facebook Addiction Disorder) among students and can affect the spirit of learning. This study also discusses what is the motivation for using Facebook and seeing the potential for FAD to occur. In this study, an online survey over 375 respondents from several students in Labuhanbatu District was conducted. To explore respondents' motives in using Facebook, respondents were given questions that were divided into the following five motives: social interaction, leisure time, entertainment, friends, and communication. While to look for potential addiction, respondents were given questions using the Bergen Facebook Addiction (BFAD) scale. In getting a connection between the motives for using Facebook and Facebook Addiction, the data was tested by analysis of variants (ANOVA) and partial tests using SPSS software. The results obtained were 65.8% of participants were at a moderate level, while 20.3% were at a low level, and only 13.9% of participants were at a high level. While the most significant motive affecting respondents in using Facebook is the motive to fill the time and motives for communicating.


2019 ◽  
Vol 10 (03) ◽  
pp. 114-121
Author(s):  
Armanto Armanto

ABSTRACT The problem in this study is that more and more internet users in the Bina Insan Lubuklinggau University building specifically the Faculty of Computer internet connection often experience problems, the internet network is still unstable, and ways to divide internet access points in the Computer Faculty. This study uses data collection methods by observing and recording directly at the research site (Observation), conducting question and answer directly to the source (Interview), and documentation by reading literature books. The results showed that the internet is often experiencing constraints and unstable internet networks and ways to divide internet access points at the Computer Faculty of the University of Bina Insan Lubuklinggau by using Policy Base Routing and Failover Implementation using a Mikrotik Router. It can be concluded that the internet network connection is stable and shows the results of the distribution of internet access points at the Faculty of Computer Bina Insan Lubuklinggau. Keywords: Mikrotik, Policy Base Routing, Failover


Author(s):  
Eamonn Caffrey ◽  
Joe McDonagh

This chapter presents an overview of process research and places a particular emphasis on reviewing the process method. Some insights into the nature of process are presented. The purpose of this chapter is to describe the process method in detail. Some of the methodological challenges involved in conducting process-oriented inquiry are highlighted. Appropriateness of the method to study strategy-related issues is presented which interlocks well with its suitability to investigate issues of interest in relation to IT strategy-making. Application of the process method cycle of research steps is recommended to distil rigorous and relevant theory. Alternative process research sense-making strategies are revealed at a very high-level only. Narrative analysis is presented as a viable sense-making approach to theorize process data and key features of this analytical strategy are revealed. Emerging issues and opportunities that intersect with the IT strategy-making construct are discussed.


2013 ◽  
pp. 540-549 ◽  
Author(s):  
Kevin Curran ◽  
John Crumlish ◽  
Gavin Fisher

OpenStreetMap is a collaborative web-mapping project that collects geospatial data to create and distribute online maps, freely available to anyone with an Internet connection. Once accessed, OpenStreetMap allows Internet users to contribute and edit geospatial data, effectively making it the mapping equivalent of Wikipedia. OpenStreetMap is maintained by volunteer cartographers from around the world who use GPS devices, portable cameras, and laptops for field mapping. Collected data are complemented with digitised open source aerial photography and free maps from the governmental and commercial sources. This report provides a summary of OpenStreetMap as a remarkable example of participatory geographic information systems (GIS).


2017 ◽  
Vol 06 (04) ◽  
pp. 1750007 ◽  
Author(s):  
Miles D. Cranmer ◽  
Benjamin R. Barsdell ◽  
Danny C. Price ◽  
Jayce Dowell ◽  
Hugh Garsden ◽  
...  

Radio astronomy observatories with high throughput back end instruments require real-time data processing. While computing hardware continues to advance rapidly, development of real-time processing pipelines remains difficult and time-consuming, which can limit scientific productivity. Motivated by this, we have developed Bifrost: an open-source software framework for rapid pipeline development. (a) Bifrost combines a high-level Python interface with highly efficient reconfigurable data transport and a library of computing blocks for CPU and GPU processing. The framework is generalizable, but initially it emphasizes the needs of high-throughput radio astronomy pipelines, such as the ability to process data buffers as if they were continuous streams, the capacity to partition processing into distinct data sequences (e.g. separate observations), and the ability to extract specific intervals from buffered data. Computing blocks in the library are designed for applications such as interferometry, pulsar dedispersion and timing, and transient search pipelines. We describe the design and implementation of the Bifrost framework and demonstrate its use as the backbone in the correlation and beamforming back end of the Long Wavelength Array (LWA) station in the Sevilleta National Wildlife Refuge, NM.


2020 ◽  
Vol 92 (1) ◽  
pp. 543-554
Author(s):  
Naidan Yun ◽  
Hongfeng Yang ◽  
Shiyong Zhou

Abstract Long-term and large-scale observations of dynamic earthquake triggering are urgently needed to understand the mechanism of earthquake interaction and assess seismic hazards. We developed a robust Python package termed DynTriPy to automatically detect dynamic triggering signals by distinguishing anomalous seismicity after the arrival of remote earthquakes. This package is an efficient implementation of the high-frequency power integral ratio algorithm, which is suitable for processing big data independent of earthquake catalogs or subjective judgments and can suppress the influence of noise and variations in the background seismicity. Finally, a confidence level of dynamic triggering (0–1) is statistically yielded. DynTriPy is designed to process data from multiple stations in parallel, taking advantage of rapidly expanding seismic arrays to monitor triggering on a global scale. Various data formats are supported, such as Seismic Analysis Code, mini Standard for Exchange of Earthquake Data (miniSEED), and SEED. To tune parameters more conveniently, we build a function to generate a database that stores power integrals in different time and frequency segments. All calculation functions possess a high-level parallel architecture, thoroughly capitalizing on available computational resources. We output and store the results of each function for continuous operation in the event of an unexpected interruption. The deployment of DynTriPy to data centers for real-time monitoring and investigating the sudden activation of any signal within a certain frequency scope has broad application prospects.


Sign in / Sign up

Export Citation Format

Share Document