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.

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

2021 ◽  
Vol 13 (3) ◽  
pp. 63
Author(s):  
Maghsoud Morshedi ◽  
Josef Noll
Keyword(s):  
Machine Learning ◽  
Network Performance ◽  
Service Providers ◽  
Video Conferencing ◽  
Machine Learning Algorithms ◽  
Performance Parameters ◽  
High Definition ◽  
Internet Service ◽  
Novel Approach ◽  
5 Ghz

Video conferencing services based on web real-time communication (WebRTC) protocol are growing in popularity among Internet users as multi-platform solutions enabling interactive communication from anywhere, especially during this pandemic era. Meanwhile, Internet service providers (ISPs) have deployed fiber links and customer premises equipment that operate according to recent 802.11ac/ax standards and promise users the ability to establish uninterrupted video conferencing calls with ultra-high-definition video and audio quality. However, the best-effort nature of 802.11 networks and the high variability of wireless medium conditions hinder users experiencing uninterrupted high-quality video conferencing. This paper presents a novel approach to estimate the perceived quality of service (PQoS) of video conferencing using only 802.11-specific network performance parameters collected from Wi-Fi access points (APs) on customer premises. This study produced datasets comprising 802.11-specific network performance parameters collected from off-the-shelf Wi-Fi APs operating at 802.11g/n/ac/ax standards on both 2.4 and 5 GHz frequency bands to train machine learning algorithms. In this way, we achieved classification accuracies of 92–98% in estimating the level of PQoS of video conferencing services on various Wi-Fi networks. To efficiently troubleshoot wireless issues, we further analyzed the machine learning model to correlate features in the model with the root cause of quality degradation. Thus, ISPs can utilize the approach presented in this study to provide predictable and measurable wireless quality by implementing a non-intrusive quality monitoring approach in the form of edge computing that preserves customers’ privacy while reducing the operational costs of monitoring and data analytics.

scholarly journals The Effect of Caching on CP and ISP Policies in Information-Centric Networks

2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Hamid Garmani ◽  
Driss Ait Omar ◽  
Mohamed El Amrani ◽  
Mohamed Baslam ◽  
Mostafa Jourhmane
Keyword(s):  
Network Performance ◽  
Service Providers ◽  
Stackelberg Game ◽  
Internet Traffic ◽  
Noncooperative Game ◽  
The Internet ◽  
Internet Service Providers ◽  
Response Dynamics ◽  
Internet Service ◽  
Content Provider

Internet traffic volume is increasing, and this causes scalability issues in content delivery. Information-centric network has been introduced to support this increase in Internet traffic through caching. While collaborative caching in information-centric network is a crucial feature to improve network performance and reduce delivery costs in content distribution, the current pricing strategies on the Internet are not incentive compatible with information-centric network interconnection. In this paper, we focus on the economic incentive interactions in caching deployment between several types of information-centric network providers (content provider and Internet service provider). In particular, we develop game-theoretic models to study the interaction between providers in an information-centric network model where the providers are motivated to cache and share content. We use a generalized Zipf distribution to model content popularity. We formulate the interactions between the Internet service providers and between the content providers as a noncooperative game. We use a Stackelberg game model to capture the interactions between the content provider and Internet service providers. Through mathematical analysis, we prove the existence and uniqueness of the Nash equilibrium under some conditions. An iterative and distributed algorithm based on best response dynamics is proposed to achieve the equilibrium point. The numerical simulations illustrate that our proposed game models result in a win-win solution.

Machine Learning based KPI Monitoring of Video Streaming Traffic for QoE Estimation

2021 ◽  
Vol 48 (4) ◽  
pp. 33-36
Author(s):  
Özge Celenk ◽  
Thomas Bauschert ◽  
Marcus Eckert
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
Video Streaming ◽  
Quality Of Experience ◽  
Service Providers ◽  
Early Stage ◽  
Traffic Information ◽  
Streaming Traffic ◽  
Testing Accuracy

Quality of Experience (QoE) monitoring of video streaming traffic is crucial task for service providers. Nowadays it is challenging due to the increased usage of end-to-end encryption. In order to overcome this issue, machine learning (ML) approaches for QoE monitoring have gained popularity in the recent years. This work proposes a framework which includes a machine learning pipeline that can be used for detecting key QoE related events such as buffering events and video resolution changes for ongoing YouTube video streaming sessions in real-time. For this purpose, a ML model has been trained using YouTube streaming traffic collected from Android devices. Later on, the trained ML model is deployed in the framework's pipeline to make online predictions. The ML model uses statistical traffic information observed from the network-layer for learning and predicting the video QoE related events. It reaches 88% overall testing accuracy for predicting the video events. Although our work is yet at an early stage, the application of the ML model for online detection and prediction of video events yields quite promising results.

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.

Corporate image no longer leads to customer satisfaction and loyalty: a Malaysian perspective

2018 ◽  
Vol 60 (4) ◽  
pp. 934-952 ◽  
Author(s):  
Krishna Moorthy ◽  
Loh Chun T’ing ◽  
Seow Ai Na ◽  
Chew Tze Ching ◽  
Lee Yuin Loong ◽  
...  
Keyword(s):  
Customer Satisfaction ◽  
Customer Loyalty ◽  
Service Providers ◽  
Perceived Quality ◽  
Corporate Image ◽  
The Internet ◽  
Internet Service Providers ◽  
Price Fairness ◽  
Internet Service ◽  
Content Type

Purpose This paper aims to study the factors that influence customer loyalty toward the internet service providers in Malaysia. The five factors used are corporate image, perceived quality, perceived value, price fairness and promotion. The mediating variable of this study is customer satisfaction, while customer loyalty is the study variable. Design/methodology/approach The primary data collection has been done by distributing survey questionnaires to 338 internet users in Malaysia. The data collected have been analyzed with SAS software. Findings The results showed that perceived quality has the strongest influence on customer satisfaction toward internet service providers in Malaysia. However, corporate image has no relationship with customer satisfaction toward internet service providers in Malaysia. Furthermore, customer satisfaction has a significant and positive relationship to customer loyalty toward the internet service providers in Malaysia. Originality/value European Customer Satisfaction Index has been adopted and combined with price fairness and promotion as a new research model that other researchers may look into it further. This research may also serve as a guide to internet service providers as they may learn about the underlying factors that affect the satisfaction and loyalty of customers and which factor has the strongest impact.

scholarly journals Efficient and Scalable Client-Clustering for Proxy Cache

2008 ◽  
pp. 172-178
Author(s):  
Kyungbaek Kim ◽  
Daeyeon Park
Keyword(s):  
Network Performance ◽  
Considerable Increase ◽  
Service Providers ◽  
Web Caching ◽  
Internet Service Providers ◽  
Internet Service ◽  
Dedicated Machines ◽  
Corporate Network ◽  
Proxy Caches ◽  
The Web

The recent increase in popularity of the Web has led to a considerable increase in the amount of Internet traffic. As a result, the Web has now become one of the primary bottlenecks to network performance and web caching has become an increasingly important issue. Web caching aims to reduce network traffic, server load, and user-perceived retrieval delay by replicating popular content on caches that are strategically placed within the network. Browser caches reside in the clients’ desktop, and proxy caches are deployed on dedicated machines at the boundary of corporate network and Internet service providers.

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.

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