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 Introducing a Mobility Access Category for IEEE 802.11e

2020 ◽  
Vol 9 (5) ◽  
pp. 1610-1614
Keyword(s):  
Quality Of Service ◽  
Wireless Network ◽  
Ieee 802.11E ◽  
Network Simulator ◽  
Mobile Nodes ◽  
Mobile Stations ◽  
Simulation Scenario ◽  
Simulation Results ◽  
The Impact

With traffic increase in a wireless network beyond its capacity and as the number of connected devices continue to grow, the quality of service (QoS) degrades. In this paper we study the impact of mobility on throughput in the case of an infrastructure wireless network using IEEE 802.11 Wi-Fi standard. Since we found in the literature that the mobility of stations can have an impact on the quality of service, we try to remedy to this by implementing a new access category reserved for mobile stations. First we compare the throughput between static and mobile nodes, both connected to a QoS station. Then we propose our new model that consists of adding a new access category used by mobile nodes regardless of their traffic category. The study was made by simulating different scenarios using Network Simulator-3 (NS-3). We found that the throughput may vary depending on the simulation scenario. The simulation results show that with the proposed solution the mobile nodes can have a better throughput.

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 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.

ALGORITHM OF BANDWIDTH DISTRIBUTION OF A LOGICAL CHANNEL OF A MULTI-SERVICE COMMUNICATION NETWORK, TAKING INTO ACCOUNT INSUFFICIENT OBSERVABILITY OF A RESOURCE PROVIDED BY A COMMUNICATION OPERATOR

2021 ◽  
pp. 59-65
Author(s):  
О.В. Крюков ◽  
А.Ю. Остриков ◽  
В.С. Щербаков ◽  
С.А. Покацкий ◽  
И.В. Ульянов
Keyword(s):  
Communication Network ◽  
Quality Of Service ◽  
Logical Channel ◽  
Telecom Operator ◽  
Bandwidth Distribution

В работе предложен алгоритм распределения полосы пропускания логического канала мультисервисной сети связи, позволяющий повысить качество обслуживания для отдельных сервисов в условиях, когда арендуемый у оператора связи ресурс пропускной способности характеризуется недостаточной наблюдаемостью и отсутствует обмен метками QoS на транспортном уровне. The paper proposes algorithm of bandwidth distribution of a logical channel of a multiservice communication network, which makes it possible to improve the quality of service for individual services in conditions when the bandwidth resource leased from a telecom operator is characterized by insufficient observability and there is no exchange of QoS tags at the transport level.

Software-Defined Networking’s Traffic Engineering Benefits the Improvement of Network Performance

2020 ◽  
Vol 17 (1) ◽  
pp. 27-31
Author(s):  
B. Naveen Chandar ◽  
N. Arivazhagan ◽  
K. Venkatesh
Keyword(s):  
Quality Of Service ◽  
Traffic Engineering ◽  
Traffic Management ◽  
Network Performance ◽  
Packet Delay ◽  
Software Defined Networking ◽  
Delivery Ratio ◽  
Network Simulator ◽  
Network Resource

Quality of Service is considered as one of the important specifications in Software Defined Networking and we are focusing on Traffic Engineering which is capable of managing traffic characteristics like bandwidth for improving network performance. In this paper, performance evaluation of Quality of Service parameters such as Packet Delivery Ratio, Packet Delay and Packet Loss are performed with Network simulator 2 for all types of Software Defined Networking topologies. To do such evaluation on these parameters we use Traffic Engineering, which helps on improving the network performance, design mechanisms for routing to manage the traffic in network by improving the network resource usages and other major Quality of Service requisites. So in this proposed methodology, we use point-to-point topology related to traffic calculation which includes network parameters like general calculation of a framework, analyzing the traffic and future indication. Also the work process relevant to traffic management includes bandwidth of the traffic, scheduling of Quality of Service-assurance, saving power and management of traffic in Software Defined Networking. Existing technologies used for the above parameters are discussed below and our insights for future development on traffic engineering between the nodes in Software Defined Networking are offered.

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