OPTIMIZING TCP QUALITY OF SERVICE PARAMETER USING LINUX KERNEL BASED TUNING PARAMETERS FOR HIGH PERFORMANCE NETWORKS

2009 ◽  
Author(s):  
S N PRADHAN ◽  
PRIYANKA SHARMA ◽  
HITESH NIMBARK
Keyword(s):  
Quality Of Service ◽  
High Performance ◽  
Linux Kernel ◽  
Tuning Parameters ◽  
Service Parameter

Dynamic Management of Security Constraints in Advanced Enterprises

2011 ◽  
pp. 302-310
Author(s):  
R. Manjunath
Keyword(s):  
Quality Of Service ◽  
Dynamic Management ◽  
Service Parameter ◽  
The Cost

Providing security for the content that gets exchanged between physically and geographically different locations is challenging. The cost and resources to be used to meet this challenge has to be linked to the degree of security demanded by the content. In this chapter, the security associated with the transfer of the content is quantified and treated as a quality of service parameter. The user is free to select the parameter depending up on the content being transferred. As dictated by the demanding situations, a minimum agreed security would be assured for the data at the expense of the appropriate resources over the network.

Experimental Research on Diffserv-Aware MPLS Traffic Engineering

2012 ◽  
Vol 263-266 ◽  
pp. 1858-1863
Author(s):  
Jin He Zhou ◽  
Guo Min Xia
Keyword(s):  
Quality Of Service ◽  
Experimental Research ◽  
Packet Loss ◽  
Traffic Engineering ◽  
High Performance ◽  
Loss Rate ◽  
Differentiated Services ◽  
Packet Loss Rate ◽  
Differentiated Service

Diffserv-aware and Traffic Engineering combine the advantages of MPLS, Traffic Engineering (TE) and Differentiated Services (Diffserv, DS) to provide high performance and Quality of Service(QoS) in networks. We have designed three scenarios on Juniper Networks platforms to analyze the packet loss rate and delay for video, voice and data. The results show that MPLS DS-TE can improve the QoS for differentiated service effectively. The research has practical value for the development of DS-TE based on MPLS.

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 Pronlem of Selecting Communication Channels Bandwidth of Transport Network Taking into Account imbalance of Various Priority Traffic

2020 ◽  
Vol 19 (2) ◽  
pp. 412-445 ◽  
Author(s):  
Sergej Andreev ◽  
Roman Tregubov ◽  
Alexander Mironov
Keyword(s):  
Communication Network ◽  
Quality Of Service ◽  
Lagrange Multipliers ◽  
High Performance ◽  
Digital Communication ◽  
Communication Channels ◽  
Transport Network ◽  
Network Simulator ◽  
Optimal Bandwidth

The paper proposes a solution to the problem of selecting the bandwidth capabilities of digital communication channels of a transport communication network taking into account the imbalance of data traffic by priorities. The algorithm for selecting bandwidth guarantees the minimum costs associated with renting digital communication channels with optimal bandwidth, provided that the requirements for quality of service of protocol data blocks of the first, second, and k-th priority in an unbalanced in terms of priorities transport communication network are met. At the first stage of solving the problem, using the method of Lagrange multipliers, an algorithm for selecting the capacities of digital communication channels for a balanced in terms of priorities transport network was developed. High performance of this algorithm was ensured by applying algebraic operations on matrices (addition, multiplication, etc.). At the second stage of solving the problem, using the generalized Lagrange multipliers method, we compared the conditional extrema of the cost function for renting digital communication channels for single active quality of service requirements for protocol data blocks, for all possible pairs of active quality of service requirements for protocol data blocks, for all possible triples of active requirements for the quality of service of protocol data units, and so on up to the case when all the requirements for quality of service maintenance of protocol data units are active simultaniously. At the third stage of solving the problem, an example of selecting the bandwidth capabilities of digital communication channels of the unbalanced by priorities transport network consisting of eight routers serving protocol data blocks of three priorities was considered. At the fourth stage of the solution of the problem of the choice of carrying capacities the estimation of efficiency of the developed algorithm by a method of simulation modeling was carried out. To this end, in the environment of the network simulator OMNet ++, the unbalanced in terms of priority transport communication network consisting of eight routers connected by twelve digital communication channels with optimal bandwidth was investigated.

scholarly journals MEMBANGUN BUDAYA MUTU PADA LEMBAGA PENDIDIKAN ISLAM MENUJU MADRASAH UNGGUL

2019 ◽  
Vol 3 (2) ◽  
pp. 1-12
Author(s):  
Amir Amir
Keyword(s):  
Quality Of Service ◽  
High Performance ◽  
Industrial Revolution ◽  
Administrative Staff ◽  
Quality Culture ◽  
Teachers And Students ◽  
Low Performance ◽  
Changing Times ◽  
Service Standards

This paper presents the efforts of madrasah in building a quality culture towards superior madrasah in Madrasah Aliyah Nurul Hikam, Kapongan, Situbondo. This is done in order to meet the complexity of the demands of society and respond to the changing times, especially in entering the era of the industrial revolution 4.0. The efforts made by Madrasah Aliyah Nurul Hikam in building a quality culture towards superior madrasah namely; 1) designing high performance-oriented attitudes and behavioral standards, both for the headmaster, administrative staff, teachers and students, 2) formulating the best service standards that must be obeyed by all madrasah residents to improve the quality of service to customers, especially students and parents, 3) integrating quality culture in all activities in madrasah, 4) giving awards to madrasah who have high achievements and providing guidance for those who have low performance, 5) providing motivation to madrasah to continue to improve their performance to suit the expectations of all parties, so that a superior madrasah quality can be created.

QoS Oriented Enhancement based on the Analysis of Dynamic Job Scheduling in HPC

2014 ◽  
Vol 6 (4) ◽  
pp. 28-45 ◽  
Author(s):  
Reshmi Raveendran ◽  
D. Shanthi Saravanan
Keyword(s):  
Resource Allocation ◽  
Quality Of Service ◽  
High Performance ◽  
Large Scale ◽  
Job Scheduling ◽  
Dynamic Scheduling ◽  
Future Research ◽  
Dynamic Allocation ◽  
The Impact

With the advent of High Performance Computing (HPC) in the large-scale parallel computational environment, better job scheduling and resource allocation techniques are required to deliver Quality of Service (QoS). Therefore, job scheduling on a large-scale parallel system has been studied to minimize the queue time, response time, and to maximize the overall system utilization. The objective of this paper is to touch upon the recent methods used for dynamic resource allocation across multiple computing nodes and the impact of scheduling algorithms. In addition, a quantitative approach which explains a trend line analysis on dynamic allocation for batch processors is depicted. Throughout the survey, the trends in research on dynamic allocation and parallel computing is identified, besides, highlights the potential areas for future research and development. This study proposes the design for an efficient dynamic scheduling algorithm based on the Quality-of-Service. The analysis provides a compelling research platform to optimize dynamic scheduling of jobs in HPC.

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