scholarly journals Fatiamento de Rede baseado em Demanda Elástica em Provedores de Internet do Futuro

2018 ◽  
Author(s):  
Rafael L. Gomes ◽  
Francisco R. P. da Ponte ◽  
Arthur Urbano ◽  
Luiz F. Bittencourt ◽  
Edmundo M. R. Madeira
Keyword(s):  
Service Providers ◽  
Network Virtualization ◽  
Future Internet ◽  
Network Function Virtualization ◽  
Internet Service Providers ◽  
Software Defined Network ◽  
Internet Service ◽  
Network Function ◽  
Time Calculation

Atualmente, a Internet faz parte do cotidiano das pessoas, sendo um meio de comunicação essencial. Contudo, esta sofre de limitações que a impedem de garantir Qualidade de Serviço (Quality of Service QoS) aos usuários. Portanto, os Provedores de Internet (Internet Service Providers ISPs) necessitam evoluir, adicionando novas tecnologias e estratégias de gerência, tais como Virtualização de Redes (Network Virtualization NV), Redes Definidas por Software (Software Defined Network SDN) e Virtualização de Funções de Rede (Network Function Virtualization NFV), criando a idéia de Provedores de Internet do Futuro (Future Internet Service Providers FISPs). Sendo assim, os FISPs fatiam os recursos de rede dentre os clientes e os serviços prestados, onde torna-se crucial um algoritmo para definir a alocação das fatias de rede. Adicionalmente, os FISPs devem considerar a utilização elástica dos recursos de rede pelos clientes ao decorrer do dia. Dentro deste contexto, este artigo apresenta o algoritmo Per Time Calculation (PETIC) para definir o fatiamento da rede baseado nos requisitos de largura de banda dos clientes. Os resultados obtidos sugerem que o algoritmo proposto define fatias de rede mais adequadas que as abordagens existentes. 

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.

Slicing of Network Resources in Future Internet Service Providers Based on Daytime

2018 ◽  
Author(s):  
Rafael L. Gomes ◽  
Artur Urbano ◽  
Francisco R. P. da Ponte ◽  
Luiz F. Bittencourt ◽  
Edmundo R. M. Madeira
Keyword(s):  
Service Providers ◽  
Future Internet ◽  
Internet Service Providers ◽  
Network Resources ◽  
Internet Service

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.

Strategies for daytime slicing in future internet service providers

2019 ◽  
Vol 31 (1) ◽  
Author(s):  
Rafael L. Gomes ◽  
Francisco R. P. Ponte ◽  
Arthur C. Urbano ◽  
Luiz F. Bittencourt ◽  
Edmundo R. M. Madeira
Keyword(s):  
Service Providers ◽  
Future Internet ◽  
Internet Service Providers ◽  
Internet Service

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.

Management Framework for Future Internet Service Providers

2018 ◽  
Author(s):  
Rafael L. Gomes ◽  
Francisco R. P. da Ponte ◽  
Eduardo C. Cerqueira ◽  
Luiz F. Bittencourt ◽  
Edmundo R. M. Madeira ◽  
...  
Keyword(s):  
Service Providers ◽  
Future Internet ◽  
Internet Service Providers ◽  
Internet Service ◽  
Management Framework

Inferring Streaming Video Quality from Encrypted Traffic

2021 ◽  
Vol 48 (3) ◽  
pp. 27-32
Author(s):  
Francesco Bronzino ◽  
Paul Schmitt ◽  
Sara Ayoubi ◽  
Guilherme Martins ◽  
Renata Teixeira ◽  
...  
Keyword(s):  
Service Providers ◽  
Video Quality ◽  
Composite Model ◽  
Streaming Video ◽  
Internet Service Providers ◽  
Video Streams ◽  
Internet Service ◽  
Startup Delay ◽  
Encrypted Traffic

Inferring the quality of streaming video applications is important for Internet service providers, but the fact that most video streams are encrypted makes it difficult to do so.We develop models that infer quality metrics (i.e., startup delay and resolution) for encrypted streaming video services. Our paper builds on previous work, but extends it in several ways. First, the models work in deployment settings where the video sessions and segments must be identified from a mix of traffic and the time precision of the collected traffic statistics is more coarse (e.g., due to aggregation). Second, we develop a single composite model that works for a range of different services (i.e., Netflix, YouTube, Amazon, and Twitch), as opposed to just a single service. Third, unlike many previous models, our models perform predictions at finer granularity (e.g., the precise startup delay instead of just detecting short versus long delays) allowing to draw better conclusions on the ongoing streaming quality. Fourth, we demonstrate the models are practical through a 16-month deployment in 66 homes and provide new insights about the relationships between Internet "speed" and the quality of the corresponding video streams, for a variety of services; we find that higher speeds provide only minimal improvements to startup delay and resolution.

Cyberpolitik

ADALAH ◽  
2020 ◽  
Vol 4 (2) ◽  
Author(s):  
Munadhil Abdul Muqsith
Keyword(s):  
Political Communication ◽  
Total Population ◽  
Service Providers ◽  
Mailing List ◽  
The Internet ◽  
Internet Service Providers ◽  
Internet Service ◽  
Internet Users ◽  
Internet Media ◽  
First Time

Abstract:The internet developed for the first time in Indonesia in the early 1990s. Starting from the pagayuban network, it is now expanding without boundaries anywhere. A survey conducted by the Indonesian Internet Service Providers Association (APJII) said that the number of internet users in Indonesia in 2012 reached 63 million people or 24.23 percent of the country's total population. Next year, that figure is predicted to increase by close to 30 percent to 82 million users and continue to grow to 107 million in 2014 and 139 million or 50 percent of the total population in 2015. million people. This matter also results in political communication with the internet media, or is often said to be cyber politics. Cyber politics in Indonesia has faced growth in recent years. There are many facilities that support the growth of cyber politics, such as Facebook, Twitter, mailing list, YouTube, and others.Keywords: Cyberpolitik, Internet  Abstrak:Internet berkembang pertama kali di Indonesia pada awal tahun 1990-an. Diawali dari pagayuban network kini berkembang luas tanpa batas dimanapun juga. Suatu survei yang diselenggarakan Asosiasi Penyelenggara Jasa Internet Indonesia (APJII) mengatakan kalau jumlah pengguna internet di Indonesia tahun 2012 menggapai 63 juta orang ataupun 24,23 persen dari total populasi negeri ini. Tahun depan, angka itu diprediksi naik dekat 30 persen jadi 82 juta pengguna serta terus berkembang jadi 107 juta pada 2014 serta 139 juta ataupun 50 persen total populasi pada 2015. juta orang. Perihal ini pula berakibat pada komunikasi politik dengan media internet, ataupun kerap diucap dengan cyber politic. Cyber politic di Indonesia hadapi pertumbuhan sebagian tahun terakhir. Banyaknya fasilitas yang menunjang pertumbuhan cyber politic semacam terdapatnya facebook, Twitter, mailing list, youtobe, serta lain-lain.Kata Kunci: Cyberpolitik, Internet 

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