Bandwidth Management
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2022 ◽  
Vol 2022 ◽  
pp. 1-11
Haike Liu ◽  
Huajian Zhang ◽  
Kai Yang ◽  
Jiali Li

With the development of new satellite payload technology, in order to improve the utilization of system resources, research is based on software-defined network (SDN) and network function virtualization (NFV) gateway architecture. Based on this architecture, the system realizes global resource management and overall data distribution, which can solve the problem of resource allocation and maximum/minimum rate guarantee between different VNO terminals under different beams, different gateways, and different satellites. For this, a global bandwidth management method can be used which is mainly a process of management to control the traffic on a communication link. The proposed global resource management and control method can be based on the rate guarantee value of the VNO/terminal configured in the system as the basic limiting condition and reallocate the rate guarantee value limiting parameter according to the resource application status of the online terminal. The method can maximize the resource utilization of the entire satellite communication system and satisfy the resource request of the user terminal as much as possible.

2021 ◽  
Vol 2 (2) ◽  
pp. 87-96
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.

Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7053
Motahareh Mobasheri ◽  
Yangwoo Kim ◽  
Woongsup Kim

With the increase in Internet of Things (IoT) devices and network communications, but with less bandwidth growth, the resulting constraints must be overcome. Due to the network complexity and uncertainty of emergency distribution parameters in smart environments, using predetermined rules seems illogical. Reinforcement learning (RL), as a powerful machine learning approach, can handle such smart environments without a trainer or supervisor. Recently, we worked on bandwidth management in a smart environment with several fog fragments using limited shared bandwidth, where IoT devices may experience uncertain emergencies in terms of the time and sequence needed for more bandwidth for further higher-level communication. We introduced fog fragment cooperation using an RL approach under a predefined fixed threshold constraint. In this study, we promote this approach by removing the fixed level of restriction of the threshold through hierarchical reinforcement learning (HRL) and completing the cooperation qualification. At the first learning hierarchy level of the proposed approach, the best threshold level is learned over time, and the final results are used by the second learning hierarchy level, where the fog node learns the best device for helping an emergency device by temporarily lending the bandwidth. Although equipping the method to the adaptive threshold and restricting fog fragment cooperation make the learning procedure more difficult, the HRL approach increases the method’s efficiency in terms of time and performance.

2021 ◽  
Priyanka Kadam ◽  
Madhuri Kulkarni ◽  
Vishal Gaikwad

2021 ◽  
Vol 9 (2) ◽  
pp. 16-25
Renaldi Adha Nawawi

Bandwidth management is very important in a computer network concept. Bandwidth management functions to regulate network bandwidth so that each network user gets an evenly distributed bandwidth as a whole, even though there are many network users. In this Java shop, the distribution of bandwidth to each client has not been implemented. , there is no bandwidth management on the Java cafe internet network. The results of the internet speed test at the Java cafe use The result is the distribution of bandwidth between client 1 and client 2 is not evenly distributed. On client 1 get download and upload speeds up to 0.65 and 1.14 Mbps. While on client 2 only get 2.9 and 1.14 Mbps, due to the absence of a bandwidth management system. Hierarchical Token Bucket (HTB) is a method of bandwidth management, HTB can provide more bandwidth to the client in a few seconds the client will get more bandwidth, the research methodology used is (Network Development Life Cycle) with a system development method for the network which includes the stages of Analysis, Design, Simulation, Implementation, Monitoring, and Management. The results show that bandwidth distribution in each client can be done with each client getting a maximum bandwidth of 768Kbps and getting a bandwidth limit-at of 268Kbps so that customers can still get an internet network even though internet traffic is heavy. . and the use of burst limit as a research method can make each client get additional bandwidth when the internet network is empty and can be accepted by clients or visitors to Java stalls.. and the use of burst limit as a research method can make each client get additional bandwidth when the internet network is empty and can accepted by clients or visitors to shop jawa..

2021 ◽  
Vol 1 (2) ◽  
pp. 43-46
Tobby Octavianto

The use of the internet in the office requires stability for employees so that they can work well, it is not uncommon for some parties to use internet services for out-of-office needs for downloads and also social media. The Hierarchical Token Bucket (HTB) method in bandwidth management can solve this problem. HTB is a very structured method of sharing the bandwidth. HTB can be created by configuring the Mikrotik routerboard equipment by creating parent and child parameters and determining the minimum and maximum bandwidth used.

Flor G. Ortiz‐Gómez ◽  
Daniele Tarchi ◽  
Ramón Martínez ◽  
Alessandro Vanelli‐Coralli ◽  
Miguel A. Salas‐Natera ◽  

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