Qos) in High-Priority Applications Abstract
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Traffic Management in Multi-Service Access Networks
MARKETING REPORT MR-404 Traffic Management in Multi-Service Access Networks Issue: 01 Issue Date: September 2017 © The Broadband Forum. All rights reserved. Traffic Management in Multi-Service Access Networks MR-404 Issue History Issue Approval date Publication Date Issue Editor Changes Number 01 4 September 2017 13 October 2017 Christele Bouchat, Original Nokia Comments or questions about this Broadband Forum Marketing Draft should be directed to [email protected] Editors Francois Fredricx Nokia [email protected] Florian Damas Nokia [email protected] Ing-Jyh Tsang Nokia [email protected] Innovation Christele Bouchat Nokia [email protected] Leadership Mauro Tilocca Telecom Italia [email protected] September 2017 © The Broadband Forum. All rights reserved 2 of 16 Traffic Management in Multi-Service Access Networks MR-404 Executive Summary Traffic Management is a widespread industry practice for ensuring that networks operate efficiently, including mechanisms such as queueing, routing, restricting or rationing certain traffic on a network, and/or giving priority to some types of traffic under certain network conditions, or at all times. The goal is to minimize the impact of congestion in networks on the traffic’s Quality of Service. It can be used to achieve certain performance goals, and its careful application can ultimately improve the quality of an end user's experience in a technically and economically sound way, without detracting from the experience of others. Several Traffic Management mechanisms are vital for a functioning Internet carrying all sorts of Over-the-Top (OTT) applications in “Best Effort” mode. Another set of Traffic Management mechanisms is also used in networks involved in a multi-service context, to provide differentiated treatment of various services (e.g. -
D4.2 – Report on Technical and Quality of Service Viability
Ref. Ares(2019)1779406 - 18/03/2019 (H2020 730840) D4.2 – Report on Technical and Quality of Service Viability Version 1.2 Published by the MISTRAL Consortium Dissemination Level: Public This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730840 H2020-S2RJU-2015-01/H2020-S2RJU-OC-2015-01-2 Topic S2R-OC-IP2-03-2015: Technical specifications for a new Adaptable Communication system for all Railways Final Version Document version: 1.2 Submission date: 2019-03-12 MISTRAL D4.2 – Report on Technical and Quality of Service Viability Document control page Document file: D4.2 Report on Technical and Quality of Service Viability Document version: 1.2 Document owner: Alexander Wolf (TUD) Work package: WP4 – Technical Viability Analysis Task: T4.3, T4.4 Deliverable type: R Document status: approved by the document owner for internal review approved for submission to the EC Document history: Version Author(s) Date Summary of changes made 0.1 Alexander Wolf (TUD) 2017-12-27 TOCs and content description 0.4 Alexander Wolf (TUD) 2018-01-31 First draft version 0.5 Carles Artigas (ARD) 2018-02-02 Contribution on LTE Security, Chapter 5 0.8 Alexander Wolf (TUD) 2018-03-31 Second draft version 0.9 Alexander Wolf (TUD) 2018-04-27 Release candidate 1.0 Alexander Wolf (TUD) 2018-04-30 Final version 1.0.1 Alexander Wolf (TUD) 2018-05-02 Formatting corrections 1.0.2 Alexander Wolf (TUD) 2018-05-08 Minor additions on chapter 6 1.1 Alexander Wolf (TUD) 2018-10-29 Minor additions after 3GPP comments 1.2 Alexander Wolf (TUD) 2019-03-12 Revision after Shift2Rail JU comments Internal review history: Reviewed by Date Summary of comments Edoardo Bonetto (ISMB) 2018-04-19 Review, comments and remarks Laura Masullo (SIRTI) 2018-04-19 Review, comments and remarks Laura Masullo (SIRTI) 2018-04-29 Review Document version : 1.2 Page 2 of 88 Submission date: 2019-03-12 MISTRAL D4.2 – Report on Technical and Quality of Service Viability Legal Notice The information in this document is subject to change without notice. -
Analysing TCP Performance When Link Experiencing Packet Loss
Analysing TCP performance when link experiencing packet loss Master of Science Thesis [in the Programme Networks and Distributed System] SHAHRIN CHOWDHURY KANIZ FATEMA Chalmers University of Technology University of Gothenburg Department of Computer Science and Engineering Göteborg, Sweden, October 2013 The Author grants to Chalmers University of Technology and University of Gothenburg the non-exclusive right to publish the Work electronically and in a non-commercial purpose make it accessible on the Internet. The Author warrants that he/she is the author to the Work, and warrants that the Work does not contain text, pictures or other material that violates copyright law. The Author shall, when transferring the rights of the Work to a third party (for example a publisher or a company), acknowledge the third party about this agreement. If the Author has signed a copyright agreement with a third party regarding the Work, the Author warrants hereby that he/she has obtained any necessary permission from this third party to let Chalmers University of Technology and University of Gothenburg store the Work electronically and make it accessible on the Internet. Analysing TCP performance when link experiencing packet loss SHAHRIN CHOWDHURY, KANIZ FATEMA © SHAHRIN CHOWDHURY, October 2013. © KANIZ FATEMA, October 2013. Examiner: TOMAS OLOVSSON Chalmers University of Technology University of Gothenburg Department of Computer Science and Engineering SE-412 96 Göteborg Sweden Telephone + 46 (0)31-772 1000 Department of Computer Science and Engineering Göteborg, Sweden October 2013 Acknowledgement We are grateful to our supervisor and examiner Tomas Olovsson for his valuable time and assistance in compilation for this thesis. -
(Qos) and Quality of Experience (Qoe) Issues in Video Service Provider Networks ––
Troubleshooting Quality of Service (QoS) and Quality of Experience (QoE) issues in Video Service Provider Networks –– APPLICATION NOTE Application Note 2 www.tek.com/mpeg-video-test-solution-series/mpeg-analyzer Troubleshooting Quality of Service (QoS) and Quality of Experience (QoE) issues in Broadcast and Cable Networks Video Service Providers deliver TV programs using a variety is critical to have access or test points throughout the facility. of different network architectures. Most of these networks The minimum set of test points in any network should be at include satellite for distribution (ingest), ASI or IP throughout the point of ingest where the signal comes into the facility, the the facility, and often RF to the home or customer premise ASI or IP switch, and finally egress where the signal leaves as (egress). The quality of today’s digital video and audio is IP or RF. With a minimum of these three access points, it is usually quite good, but when audio or video issues appear at now possible to isolate the issue to have originated at either: random, it is usually quite difficult to pinpoint the root cause ingest, facility, or egress. of the problem. The issue might be as simple as an encoder To begin testing a signal that may contain the suspected over-compressing a few pictures during a scene with high issue, two related methods are often used, Quality of Service motion. Or, the problem might be from a random weather (QoS), and Quality of Experience (QoE). Both methods are event (e.g., heavy wind, rain, snow, etc.). -
Diffserv -- the Scalable End-To-End Qos Model
WHITE PAPER DIFFSERV—THE SCALABLE END-TO-END QUALITY OF SERVICE MODEL Last Updated: August 2005 The Internet is changing every aspect of our lives—business, entertainment, education, and more. Businesses use the Internet and Web-related technologies to establish Intranets and Extranets that help streamline business processes and develop new business models. Behind all this success is the underlying fabric of the Internet: the Internet Protocol (IP). IP was designed to provide best-effort service for delivery of data packets and to run across virtually any network transmission media and system platform. The increasing popularity of IP has shifted the paradigm from “IP over everything,” to “everything over IP.” In order to manage the multitude of applications such as streaming video, Voice over IP (VoIP), e-commerce, Enterprise Resource Planning (ERP), and others, a network requires Quality of Service (QoS) in addition to best-effort service. Different applications have varying needs for delay, delay variation (jitter), bandwidth, packet loss, and availability. These parameters form the basis of QoS. The IP network should be designed to provide the requisite QoS to applications. For example, VoIP requires very low jitter, a one-way delay in the order of 150 milliseconds and guaranteed bandwidth in the range of 8Kbps -> 64Kbps, dependent on the codec used. In another example, a file transfer application, based on ftp, does not suffer from jitter, while packet loss will be highly detrimental to the throughput. To facilitate true end-to-end QoS on an IP-network, the Internet Engineering Task Force (IETF) has defined two models: Integrated Services (IntServ) and Differentiated Services (DiffServ). -
Autoqos for Voice Over IP (Voip)
WHITE PAPER AUTOQoS FOR VOICE OVER IP Last Updated: September 2008 Customer networks exist to service application requirements and end users efficiently. The tremendous growth of the Internet and corporate intranets, the wide variety of new bandwidth-hungry applications, and convergence of data, voice, and video traffic over consolidated IP infrastructures has had a major impact on the ability of networks to provide predictable, measurable, and guaranteed services to these applications. Achieving the required Quality of Service (QoS) through the proper management of network delays, bandwidth requirements, and packet loss parameters, while maintaining simplicity, scalability, and manageability of the network is the fundamental solution to running an infrastructure that serves business applications end-to-end. Cisco IOS ® Software offers a portfolio of QoS features that enable customer networks to address voice, video, and data application requirements, and are extensively deployed by numerous Enterprises and Service Provider networks today. Cisco AutoQoS dramatically simplifies QoS deployment by automating Cisco IOS QoS features for voice traffic in a consistent manner and leveraging the advanced functionality and intelligence of Cisco IOS Software. Figure 1 illustrates how Cisco AutoQoS provides the user a simple, intelligent Command Line Interface (CLI) for enabling campus LAN and WAN QoS for Voice over IP (VoIP) on Cisco switches and routers. The network administrator does not need to possess extensive knowledge of the underlying network -
AES67-101: the Basics of AES67
AES67-101: The Basics of AES67 Anthony P. Kuzub IP Audio Product Manager [email protected] www.Ward-Beck.Systems TorontoAES.org Vice-Chair Ward-Beck.Systems - Audio Domains PREAMPS.audio FILTERING.audio PATCHING.audio MUTING.audio DB25.audio VUMETERS.audio PANELS.audio MATRIXING.audio BUSSING.audio XLR.audio SUMMING.audio AMPLIFY.audio CONSOLES.audio GROUNDING.audio The least you SHOULD know about networking: The physical datalink networks transported sessions presented by the application TX RX DATA 7 - Application DATA PATCHING.audio AES67.audio MATRIXING.audio 2110-30.AES67.audio 6 - Presentation BUSSING.audio 5 - Session 4 - Transport ROUTING.audio IGMP.audio 3 - Network SWITCHING.audio CLOCKING.audio 2 - Data Link MULTICASTING.audio 1 - Physical RJ45.audio The Road to Incompatibility… Dante RAVENNA QLAN Livewire Control & Monitoring Proprietary HTTP, Ember+ TCP, HTTP HTTP, Proprietary Proprietary Proprietary Discovery Bonjour Proprietary Connection Proprietary RTSP, SIP, IGMP Proprietary Proprietary, HTTP, IGMP Management Session Description Proprietary SDP Proprietary Channel # Transport Proprietary, IPv4 RTP, IPv4 RTP, IPv4 RTP, IPv4 Quality of Service DiffServ DiffServ DiffServ DiffServ/802.1pq Encoding & Streaming L16-32, ≤4 ch/flow L16-32, ≤64 cha/str 32B-FP, ≤16 ch/str L24, st, surr Synchronization PTP1588-2002 PTP1588-2008 PTP1588-2008 Proprietary Media Clock 44.1kHz, 192kHz 44.1kHz – 384kHz 48kHz 48kHz AES67-2013 Standard for audio applications of networks: High-performance streaming audio-over-IP interoperability References -
5G and Net Neutrality
University of Pennsylvania Carey Law School Penn Law: Legal Scholarship Repository Faculty Scholarship at Penn Law 2019 5G and Net Neutrality Christopher S. Yoo University of Pennsylvania Carey Law School Jesse Lambert University of Pennsylvania Law School Follow this and additional works at: https://scholarship.law.upenn.edu/faculty_scholarship Part of the Administrative Law Commons, Communication Technology and New Media Commons, European Law Commons, Internet Law Commons, Law and Economics Commons, Science and Technology Law Commons, and the Transnational Law Commons Repository Citation Yoo, Christopher S. and Lambert, Jesse, "5G and Net Neutrality" (2019). Faculty Scholarship at Penn Law. 2089. https://scholarship.law.upenn.edu/faculty_scholarship/2089 This Article is brought to you for free and open access by Penn Law: Legal Scholarship Repository. It has been accepted for inclusion in Faculty Scholarship at Penn Law by an authorized administrator of Penn Law: Legal Scholarship Repository. For more information, please contact [email protected]. 5G and Net Neutrality Christopher S. Yoo† and Jesse Lambert‡ Abstract Industry observers have raised the possibility that European network neutrality regulations may obstruct the deployment of 5G. To assess those claims, this Chapter describes the key technologies likely to be incorporated into 5G, including millimeter wave band radios, massive multiple input/multiple output (MIMO), ultra-densification, multiple radio access technologies (multi-RAT), and support for device-to-device (D2D) and machine-to-machine (M2M) connectivity. It then reviews the business models likely to be associated with 5G, including network management through biasing and blanking, an emphasis on business-to- business (B2B) communications, and network function virtualization/network slicing. -
Adaptive Method for Packet Loss Types in Iot: an Naive Bayes Distinguisher
electronics Article Adaptive Method for Packet Loss Types in IoT: An Naive Bayes Distinguisher Yating Chen , Lingyun Lu *, Xiaohan Yu * and Xiang Li School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China; [email protected] (Y.C.); [email protected] (X.L.) * Correspondence: [email protected] (L.L.); [email protected] (X.Y.) Received: 31 December 2018; Accepted: 23 January 2019; Published: 28 January 2019 Abstract: With the rapid development of IoT (Internet of Things), massive data is delivered through trillions of interconnected smart devices. The heterogeneous networks trigger frequently the congestion and influence indirectly the application of IoT. The traditional TCP will highly possible to be reformed supporting the IoT. In this paper, we find the different characteristics of packet loss in hybrid wireless and wired channels, and develop a novel congestion control called NB-TCP (Naive Bayesian) in IoT. NB-TCP constructs a Naive Bayesian distinguisher model, which can capture the packet loss state and effectively classify the packet loss types from the wireless or the wired. More importantly, it cannot cause too much load on the network, but has fast classification speed, high accuracy and stability. Simulation results using NS2 show that NB-TCP achieves up to 0.95 classification accuracy and achieves good throughput, fairness and friendliness in the hybrid network. Keywords: Internet of Things; wired/wireless hybrid network; TCP; naive bayesian model 1. Introduction The Internet of Things (IoT) is a new network industry based on Internet, mobile communication networks and other technologies, which has wide applications in industrial production, intelligent transportation, environmental monitoring and smart homes. -
A Comparison of Voip Performance on Ipv6 and Ipv4 Networks
A Comparison of VoIP Performance on IPv6 and IPv4 Networks Roman Yasinovskyy, Alexander L. Wijesinha, Ramesh K. Karne, and Gholam Khaksari Towson University increasingly used on the Internet today. The increase Abstract—We compare VoIP performance on IPv6 in IPv6 packet size due to the larger addresses is and IPv4 LANs in the presence of varying levels of partly offset by a streamlined header with optional background UDP traffic. A conventional softphone is extension headers (the header fields in IPv4 for used to make calls and a bare PC (operating system- fragmentation support and checksum are eliminated less) softphone is used as a control to determine the impact of system overhead. The performance measures in IPv6). are maximum and mean delta (the time between the As the growing popularity of VoIP will make it a arrival of voice packets), maximum and mean jitter, significant component of traffic in the future Internet, packet loss, MOS (Mean Opinion Score), and it is of interest to compare VoIP performance over throughput. We also determine the relative frequency IPv6 and IPv4. The results would help to determine if distribution for delta. It is found that mean values of there are any differences in VoIP performance over delta for IPv4 and IPv6 are similar although maximum values are much higher than the mean and show more IPv6 compared to IPv4 due to overhead resulting variability at higher levels of background traffic. The from the larger IPv6 header (and packet size). We maximum jitter for IPv6 is slightly higher than for IPv4 focus on comparing VoIP performance with IPv6 and but mean jitter values are approximately the same. -
Net Neutral Quality of Service Differentiation in Flow-Aware Networks
AGH University of Science and Technology Faculty of Electrical Engineering, Automatics, Computer Science and Electronics Ph.D. Thesis Robert Wójcik Net Neutral Quality of Service Differentiation in Flow-Aware Networks Supervisor: Prof. dr hab. in˙z.Andrzej Jajszczyk AGH University of Science and Technology Faculty of Electrical Engineering, Automatics, Computer Science and Electronics Department of Telecommunications Al. Mickiewicza 30, 30-059 Kraków, Poland tel. +48 12 634 55 82 fax. +48 12 634 23 72 www.agh.edu.pl www.eaie.agh.edu.pl www.kt.agh.edu.pl To my loving wife, Izabela Acknowledgements Many people have helped my throughout the course of my work on this dissertation over the past four years. I would like to express my gratitude to all of them and to a few in particular. First of all, I would like to thank my supervisor, Professor Andrzej Jajszczyk, for his invaluable comments, advice and constant support during my whole research. I am sure that without his patience, broad vision and motivation, completing this dissertation would not have been possible. I have been fortunate to meet James Roberts, the founder of the original con- cept of Flow-Aware Networking, and discuss several issues with. Our joint work on the project concerning FAN architecture was a milestone in my vision of the future Internet and strongly contributed to my understanding of the ideas and problems related to admission control, scheduling and network design. Much of my experience has been formed through the collaboration with Jerzy Domżał, my friend and collegue. His insight and remarks concerning various issues have contributed significantly to the improvement of my results. -
Quality of Service Regulation Manual Quality of Service Regulation
REGULATORY & MARKET ENVIRONMENT International Telecommunication Union Telecommunication Development Bureau Place des Nations CH-1211 Geneva 20 Quality of Service Switzerland REGULATION MANUAL www.itu.int Manual ISBN 978-92-61-25781-1 9 789261 257811 Printed in Switzerland Geneva, 2017 Telecommunication Development Sector QUALITY OF SERVICE REGULATION MANUAL QUALITY OF SERVICE REGULATION Quality of service regulation manual 2017 Acknowledgements The International Telecommunication Union (ITU) manual on quality of service regulation was prepared by ITU expert Dr Toni Janevski and supported by work carried out by Dr Milan Jankovic, building on ef- forts undertaken by them and Mr Scott Markus when developing the ITU Academy Regulatory Module for the Quality of Service Training Programme (QoSTP), as well as the work of ITU-T Study Group 12 on performance QoS and QoE. ITU would also like to thank the Chairman of ITU-T Study Group 12, Mr Kwame Baah-Acheamfour, Mr Joachim Pomy, SG12 Rapporteur, Mr Al Morton, SG12 Vice-Chairman, and Mr Martin Adolph, ITU-T SG12 Advisor. This work was carried out under the direction of the Telecommunication Development Bureau (BDT) Regulatory and Market Environment Division. ISBN 978-92-61-25781-1 (paper version) 978-92-61-25791-0 (electronic version) 978-92-61-25801-6 (EPUB version) 978-92-61-25811-5 (Mobi version) Please consider the environment before printing this report. © ITU 2017 All rights reserved. No part of this publication may be reproduced, by any means whatsoever, without the prior written permission of ITU. Foreword I am pleased to present the Manual on Quality of Service (QoS) Regulation pub- lished to serve as a reference and guiding tool for regulators and policy makers in dealing with QoS and Quality of Experience (QoE) matters in the ICT sector.