scholarly journals Rumo à Delegação Escalável e Segura de Gerenciamento de LANs para ISPs

2019 ◽  
Author(s):  
Daniel Temp ◽  
Rodrigo Mansilha ◽  
Deivid Rodrigues ◽  
Diego Kreutz
Keyword(s):  
Internet Of Things ◽  
Quality Of Experience ◽  
Ad Hoc ◽  
Service Providers ◽  
Local Area Networks ◽  
Local Area ◽  
Internet Service Providers ◽  
Internet Service

Conforme os processos pessoais (entretenimento, financeiros, segurança, etc.), suportados por uma gama crescente de dispositivos (TVs, celulares, câmeras, etc.), convergem para serviços oferecidos através da Internet of Things (IoT), os quesitos de Quality of Experience (QoE), segurança e privacidade das Local Area Networks (LANs) residenciais aumentam em complexidade (quantidade, variedade e conflitos entre aplicações e requisitos). Nesse contexto, clientes podem demandar de seus Internet Service Providers (ISPs) soluções para problemas originados em suas LANs. Porém, ISPs enfrentam desafios para atender tal demanda de maneira escalável (i.e. padronizada, em contraste com meios ad-hoc). Objetivamos realizar uma ponte entre as soluções existentes e o mercado para superar especificidades regionais como aspectos financeiros (e.g. custo total de propriedade), legais (e.g. marco legal da Internet Brasileira) e sociais (e.g. conhecimento tecnológico de clientes e técnicos de ISPs) rumo à delegação escalável (i.e. padronizada entre clientes), segura (e.g. controlada e auditável) de gerenciamento de LANs para ISPs. Nossa visão é simplificar ao máximo (i.e. modelo On/Off com temporizador) o processo de delegação de gerência para minimizar custos (hardware, software e treinamento) e facilitar a compreensão dos envolvidos sobre os compromissos de segurança (controle e auditabilidade) envolvidos e assim viabilizar inovação nas bordas da Internet.

scholarly journals Estimating PQoS of Video Streaming on Wi-Fi Networks Using Machine Learning

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 621
Author(s):  
Maghsoud Morshedi ◽  
Josef Noll
Keyword(s):  
Machine Learning ◽  
Video Streaming ◽  
Network Performance ◽  
Service Providers ◽  
Perceived Quality ◽  
Internet Service Providers ◽  
Performance Parameters ◽  
Internet Service ◽  
Access Points

Video on demand (VoD) services such as YouTube have generated considerable volumes of Internet traffic in homes and buildings in recent years. While Internet service providers deploy fiber and recent wireless technologies such as 802.11ax to support high bandwidth requirement, the best-effort nature of 802.11 networks and variable wireless medium conditions hinder users from experiencing maximum quality during video streaming. Hence, Internet service providers (ISPs) have an interest in monitoring the perceived quality of service (PQoS) in customer premises in order to avoid customer dissatisfaction and churn. Since existing approaches for estimating PQoS or quality of experience (QoE) requires external measurement of generic network performance parameters, this paper presents a novel approach to estimate the PQoS of video streaming using only 802.11 specific network performance parameters collected from wireless access points. This study produced datasets comprising 802.11n/ac/ax specific network performance parameters labelled with PQoS in the form of mean opinion scores (MOS) to train machine learning algorithms. As a result, we achieved as many as 93–99% classification accuracy in estimating PQoS by monitoring only 802.11 parameters on off-the-shelf Wi-Fi access points. Furthermore, the 802.11 parameters used in the machine learning model were analyzed to identify the cause of quality degradation detected on the Wi-Fi networks. Finally, ISPs can utilize the results of this study to provide predictable and measurable wireless quality by implementing non-intrusive monitoring of customers’ perceived quality. In addition, this approach reduces customers’ privacy concerns while reducing the operational cost of analytics for ISPs.

Quality of Internet Service as Experienced by Tanzanians in 2016

2017 ◽  
Vol 9 (4) ◽  
pp. 12-31
Author(s):  
Eliamani Sedoyeka
Keyword(s):  
Social Media ◽  
Quality Of Experience ◽  
Service Providers ◽  
Qualitative Approach ◽  
Internet Service ◽  
Policy Makers ◽  
Internet Users ◽  
Telecommunication Companies ◽  
Article Quality

In this article, Quality of Experience (QoE) is discussed as experienced by Tanzanian internet users for the second biannual of 2016. It presents findings of the research that aimed at among other things, finding out the QoE in internet services offered by telecommunication companies and other internet service providers in the country. A qualitative approach was used to establish practical quality of experience issues considered important by Tanzanians. Online questionnaires distributed over social media mainly WhatsApp and Facebook were used to ask users about their experiences of the services they had been receiving, in which over 2000 responses were collected from all districts of Tanzania. It was established that usability, quality of service, price and after sale support were the main issues found to influence quality of experience for many. The findings in this article are useful for academicians, QoS and QoE researchers, policy makers and ICT professionals.

scholarly journals Quality of Service (QoS) Management for Local Area Network (LAN) Using Traffic Policy Technique to Secure Congestion

Computers ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 39
Author(s):  
Wan Muhd Hazwan Azamuddin ◽  
Rosilah Hassan ◽  
Azana Hafizah Mohd Aman ◽  
Mohammad Kamrul Hasan ◽  
Ahmed Salih Al-Khaleefa
Keyword(s):  
Quality Of Service ◽  
Service Providers ◽  
Local Area Network ◽  
Local Area ◽  
Advanced Technology ◽  
Area Network ◽  
Internet Service ◽  
Internet Connection ◽  
It Department

This study presents the proposed testbed implementation for the Advanced Technology Training Center (ADTEC) Batu Pahat, one of Malaysia’s industrial training institutes. The objectives of this study are to discover the issues regarding network congestion, propose a suitable method to overcome such issues, and generate output data for the comparison of the results before and after the proposed implementation. The internet is directly connected to internet service providers (ISPs), which neither impose any rule nor filter the traffic components; all connections comply on the basis of the base effort services provided by the ISP. The congestion problem has been raised several times and the information technology (IT) department has been receiving complaints about poor and sometimes intermittent internet connection. Such issues provide some ideas for a possible solution because the end client is a human resource core business. In addition, budget constraints contribute to this problem. After a comprehensive review of related literature and discussion with experts, the implementation of quality of service through add-on rules, such as traffic policing on network traffic, was proposed. The proposed testbed also classified the traffic. Results show that the proposed testbed is stable. After the implementation of the generated solution, the IT department no longer receives any complaints, and thus fulfills the goal of having zero internet connection issues.

scholarly journals A Novel Traffic Rate Measurement Algorithm for Quality of Experience-Aware Video Admission Control

2020 ◽  
Author(s):  
Alexander A. Kist ◽  
qahhar muhammad qadir ◽  
ZHONGWEI ZHANG
Keyword(s):  
Quality Of Experience ◽  
Service Providers ◽  
Video Quality ◽  
The Internet ◽  
Video Traffic ◽  
Internet Service ◽  
Trade Off ◽  
Available Bandwidth ◽  
Traffic Rate

With the inevitable dominance of video traffic on the Internet, providing perceptually good video quality is becoming a challenging task. This is partly due to the bursty nature of video traffic, changing network conditions and limitations of network transport protocols. This growth of video traffic has made Quality of Experience (QoE) of the end user the focus of the research community. In contrast, Internet service providers are concerned about maximizing revenue by accepting as many sessions as possible, as long as customers remain satisfied. However, there is still no entirely satisfactory admission algorithm for flows with variable rate. The trade-off between the number of sessions and perceived QoE can be optimized by exploiting the bursty nature of video traffic. This paper proposes a novel algorithm to determine the upper limit of the aggregate video rate that can exceed the available bandwidth without degrading the QoE of accepted video sessions. A parameter $\beta$ that defines the exceedable limit is defined. The proposed algorithm results in accepting more sessions without compromising the QoE of on-going video sessions. Thus it contributes to the optimization of the QoE-Session trade-off in support of the expected growth of video traffic on the Internet.

scholarly journals Analisa Qos dengan Simple Queue, Queue Tree, dan Hierarchical Token Bucket (Studi Kasus Pro Net Bangkinang)

2020 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Dafwen Toresa ◽  
Lisnawita Lisnawita ◽  
Fuad Renadi
Keyword(s):  
Quality Of Service ◽  
Service Providers ◽  
Time Of Day ◽  
Internet Service Providers ◽  
Bandwidth Management ◽  
Internet Service ◽  
Available Bandwidth ◽  
Token Bucket ◽  
Final Score

Abstrack - Bandwidth management at internet service providers is something that must  implement, to avoid bandwidth struggles between clients, and to minimize the waste of available bandwidth. The method used in bandwidth management, including Simple Queue, Queue Treed and Hierarchical Tocken Bucket (HTB) In this method,  the rule will be arranged in a hierarchy consisting of parent rules and child rules. The parent rule will be the parent of all child rules below it. QoS analysis applied to Mikrotik RB951 and Ubuntu Linux based computers, then compare the results of QoS (Quality of Service) between the two devices. The author conducted QoS testing for ten days, two times in 1 day, namely the time of day and night. The best results I get are in the Queue Tree with a final score of 13, While Simple Queue, and HTB with the same value, which is 12.

scholarly journals A Novel Traffic Rate Measurement Algorithm for Quality of Experience-Aware Video Admission Control

2020 ◽  
Author(s):  
Alexander A. Kist ◽  
qahhar muhammad qadir ◽  
ZHONGWEI ZHANG
Keyword(s):  
Quality Of Experience ◽  
Service Providers ◽  
Video Quality ◽  
The Internet ◽  
Video Traffic ◽  
Internet Service ◽  
Trade Off ◽  
Available Bandwidth ◽  
Traffic Rate

With the inevitable dominance of video traffic on the Internet, providing perceptually good video quality is becoming a challenging task. This is partly due to the bursty nature of video traffic, changing network conditions and limitations of network transport protocols. This growth of video traffic has made Quality of Experience (QoE) of the end user the focus of the research community. In contrast, Internet service providers are concerned about maximizing revenue by accepting as many sessions as possible, as long as customers remain satisfied. However, there is still no entirely satisfactory admission algorithm for flows with variable rate. The trade-off between the number of sessions and perceived QoE can be optimized by exploiting the bursty nature of video traffic. This paper proposes a novel algorithm to determine the upper limit of the aggregate video rate that can exceed the available bandwidth without degrading the QoE of accepted video sessions. A parameter $\beta$ that defines the exceedable limit is defined. The proposed algorithm results in accepting more sessions without compromising the QoE of on-going video sessions. Thus it contributes to the optimization of the QoE-Session trade-off in support of the expected growth of video traffic on the Internet.

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