scholarly journals Effect of electromagnetic wave interference against computer network quality of service

2020 ◽  
Vol 1469 ◽  
pp. 012100
Author(s):  
I N B Hartawan ◽  
P P Santika ◽  
I B A I Iswara ◽  
I G M N Desnanjaya
Keyword(s):  
Quality Of Service ◽  
Electromagnetic Wave ◽  
Computer Network ◽  
Wave Interference ◽  
Network Quality

Open network quality of service and bandwidth control: Use cases, technical architecture, and business models

2011 ◽  
Vol 16 (2) ◽  
pp. 133-152 ◽  
Author(s):  
James A. Brunetti ◽  
Kanti Chakrabarti ◽  
Alina M. Ionescu-Graff ◽  
Ramesh Nagarajan ◽  
Dong Sun
Keyword(s):  
Quality Of Service ◽  
Business Models ◽  
Use Cases ◽  
Open Network ◽  
Technical Architecture ◽  
Bandwidth Control ◽  
Network Quality

scholarly journals KLASIFIKASI PENGGUNAAN PROTOKOL KOMUNIKASI PADA TRAFIK JARINGAN MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR

2016 ◽  
Vol 16 (1) ◽  
pp. 67
Author(s):  
Komang Kompyang Agus Subrata ◽  
I Made Oka Widyantara ◽  
Linawati Linawati
Keyword(s):  
Quality Of Service ◽  
Network Traffic ◽  
Network Architecture ◽  
Nearest Neighbor ◽  
Computer Network ◽  
Data Communication ◽  
Data Capture ◽  
K Nearest Neighbor ◽  
High Level

ABSTRACT—Network traffic internet is data communication in a network characterized by a set of statistical flow with the application of a structured pattern. Structured pattern in question is the information from the packet header data. Proper classification to an Internet traffic is very important to do, especially in terms of the design of the network architecture, network management and network security. The analysis of computer network traffic is one way to know the use of the computer network communication protocol, so it can be the basis for determining the priority of Quality of Service (QoS). QoS is the basis for giving priority to analyzing the network traffic data. In this study the classification of the data capture network traffic that though the use of K-Neaerest Neighbor algorithm (K-NN). Tools used to capture network traffic that wireshark application. From the observation of the dataset and the network traffic through the calculation process using K-NN algorithm obtained a result that the value generated by the K-NN classification has a very high level of accuracy. This is evidenced by the results of calculations which reached 99.14%, ie by calculating k = 3. Intisari—Trafik jaringan internet adalah lalu lintas ko­mu­nikasi data dalam jaringan yang ditandai dengan satu set ali­ran statistik dengan penerapan pola terstruktur. Pola ter­struktur yang dimaksud adalah informasi dari header paket data. Klasifikasi yang tepat terhadap sebuah trafik internet sa­ngat penting dilakukan terutama dalam hal disain perancangan arsitektur jaringan, manajemen jaringan dan keamanan jari­ngan. Analisa terhadap suatu trafik jaringan komputer meru­pakan salah satu cara mengetahui penggunaan protokol komu­nikasi jaringan komputer, sehingga dapat menjadi dasar pe­nen­tuan prioritas Quality of Service (QoS). Dasar pemberian prio­ritas QoS adalah dengan penganalisaan terhadap data trafik jaringan. Pada penelitian ini melakukan klasifikasi ter­hadap data capture trafik jaringan yang di olah menggunakan Algoritma K-Neaerest Neighbor (K-NN). Apli­kasi yang digu­nakan untuk capture trafik jaringan yaitu aplikasi wireshark. Hasil observasi terhadap dataset trafik jaringan dan melalui proses perhitungan menggunakan Algoritma K-NN didapatkan sebuah hasil bahwa nilai yang dihasilkan oleh klasifikasi K-NN memiliki tingkat keakuratan yang sangat tinggi. Hal ini dibuktikan dengan hasil perhi­tungan yang mencapai nilai 99,14 % yaitu dengan perhitungan k = 3. DOI: 10.24843/MITE.1601.10

scholarly journals Effects of Deceptive Advertising on Consumer Loyalty in Telecommunication Industry of Pakistan

2011 ◽  
Vol 3 (5) ◽  
pp. 261-264 ◽  
Author(s):  
Syed Akif Hasan ◽  
Muhammad Imtiaz Subhani ◽  
Ana Mateen
Keyword(s):  
Quality Of Service ◽  
Customer Service ◽  
Consumer Preference ◽  
Telecommunication Industry ◽  
Consumer Loyalty ◽  
Network Coverage ◽  
Deceptive Advertising ◽  
Network Quality ◽  
Telecom Industry

This study is an attempt to interrogate the effects of deceptive advertising on consumer loyalty in telecommunication industry of Pakistan. Four variables, Call Charges (CC), Network Coverage (NC), Network Quality (NQ) and Customer Service (CS) were used to measure deception in Telecom Ads and then its effect on consumer loyalty while the consumer preference is used as the proxy of consumer loyalty. 10,000 random individuals from telecom industry were selected to conclude the results. Testing specification confirmed that the deception overwhelmingly exists in telecom ads and none of the telecom companies were providing exactly the same quality of service in terms of Call Charges, Network Coverage, Network Quality and Customer Service, as they promise in their advertisements, while, the consumers are inclined towards the services where the deceptions are seemingly meager.

scholarly journals EVALUATION OF QOS PARAMETERS FOR IPTV UNINTERRUPTED OPERATION

T-Comm ◽  
2020 ◽  
Vol 14 (10) ◽  
pp. 33-38
Author(s):  
Alexander S. Antonenko ◽  
◽  
Andrey N. Zemtsov ◽  
Keyword(s):  
Quality Of Service ◽  
Real Time ◽  
Streaming Data ◽  
Practical Applications ◽  
Network Bandwidth ◽  
Qos Parameters ◽  
Network Quality ◽  
High Level ◽  
Quality Of Service Parameters

This article describes the IPTV system, as well as its implementation methods and related protocols. The concept of IPTV includes both real-time television and recording television, the so-called VoD. In real time, streaming data is sent using only the RTP protocol and in addition to it, the RTSP protocol is used for streaming VoD. In addition, methods for measuring QoS parameters are analyzed, considering practical applications for estimating IPTV traffic parameters. An important feature of providing quality IPTV services is a high level of quality of service. Also, in theory, an Internet connection model with insufficient network bandwidth is considered. The following characteristics are taken into account: bandwidth, one-way delay, inter-packet jitter, the number of lost packets, the number of duplicated packets, packets with errors, and damaged packets. A reordering issue is mentioned. In addition, two important QoS parameters for VoD are measured: START delay and PAUSE / RESUME delays. Service messaging is considered while providing IPTV service. The maximum, average, and minimum values for the network quality of service parameters are found.

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