SyncCast: Synchronized Dissemination in Multi-site Interactive 3D Tele-immersion
|
|
- Valentine Carter
- 6 years ago
- Views:
Transcription
1 Syncast: Synchronized issemination in Multi-site Interactive 3 Tele-immersion Zixia Huang, W. Wu, K. Nahrstedt, R. Rivas and. refin epartment of omputer Science University of Illinois at Urbana-hampaign {zhuang21, wwu23, klara, trivas, illinois.edu
2 Tele-immersive Environment Photo courtesy of Prof. Ruzena Bajcsy.
3 Multi-site 3TI ommunication Purdue U Berkeley U avis UIU service gateway display camera audio in/out
4 Multi-site 3TI ommunication Purdue intermediate site U Berkeley UIU sender receiver U avis
5 P1: elay and Bandwidth onstraint Purdue UIU 5 ms 36 ms U Berkeley 11 ms 1. elay constraint: interactivity 2. Bandwidth constraint U avis
6 P2: Inter-receiver Sync Skew Purdue UIU 5 ms 36 ms U Berkeley 11 ms U avis Inter-receiver sync skew: Max EE min EE = 42 ms
7 P3: Inter-sender Sync Skew Purdue 5 ms 36 ms U Berkeley UIU 11 ms U avis Inter-sender sync skew: y Max EE min EE = 42 ms
8 P4: Inter-stream Sync Skew Purdue 37 ms U Berkeley UIU 5 ms 11 ms 36 ms U avis Inter-stream sync skew: Max EE min EE = 4 ms Inter-video skew udio-visual skew
9 Inter-stream Sync Skew Video multi-stream synchronization udio-visual synchronization video dominant stream (S) ( ) (largest visual contribution)
10 Problem Statement Previous work did not study all synchronization constraints! We want to design a multi-site 3TI dissemination scheme that minimizes EE with synchronization and bandwidth constraints. Interactivity EE decides the interactivity Minimize EE for dissemination paths Synchronization onstraint Inter-stream sync: inter-video and audio-visual Inter-site sync: inter-sender and inter-receiver Bandwidth onstraint Inbound bandwidth Outbound bandwidth
11 What we consider Stream prioritization ifferent visual contribution Path prioritization Latency vs. fairness Other heuristics at sender site Bandwidth preservation policy
12 Stream Prioritization o 3 Free Viewpoint ontribution Factor (F): O F(vs) Ovs O vs video stream u Renderer ominant Stream (S): the video stream with the largest F to user view Non-dominant stream (NS): F > 0 O u There is a video S for each sender-receiver pair. Yang et al, multi-stream adaptation framework for bandwidth management in 3 tele-immersion, M NOSSV 2006
13 Stream Prioritization Priority is given to streams with greater visual contributions. We divide all streams into two service classes (S). 1 issemination i of all audio and video S Prioritized stream queue at UK: S1 = {S1(IL), S1(), S2(E)} SN RV S (F) UK S1 (.8) UK IL S1 (.9) UK E S2 (.8)
14 Stream Prioritization o Priority is given to streams with greater visual contributions. We divide all streams into two service classes (S). 1 issemination of all audio and video S 2 issemination of all video NS Prioritized stream queue at UK: S1 = {S1(IL), S1(), S2(E)} S2 = {S2(), S2(IL), S1(E), S3(E), S3()} SN RV S (F) NS (F) UK S1 (.8) S2 (.4), S3 (.1) UK IL S1 (.9) S2 (.4) UK E S2 (.8) S1 (.3), S3 (.3)
15 Path Prioritization stream from a sender site to a receiver can follow multiple li l paths Latency: EE between the sender and receiver 3 paths for S3 from UK to E: (1) UK -> E 18 ms (2) UK -> IL -> E 147 ms (3) UK -> -> E 168 ms SN RV S NS UK S1 S2, S3 UK IL S1 S2 UK E S2 S1,S3
16 Path Prioritization stream from a sender site to a receiver can follow multiple li l paths Latency: EE between the sender and receiver Unfairness (Q): number of sites on the path which does not request a stream as S or NS 3pathsforS3fromUKtoE: from to (1) UK -> E 18 ms (Q = 0) (2) () UK -> IL -> E 147 ms (Q = 1) (3) UK -> -> E 168 ms (Q = 0) SN RV S NS UK S1 S2, S3 UK IL S1 S2 UK E S2 S1,S3
17 Path Prioritization stream from a sender site to a receiver can follow multiple paths Latency: EE between the sender and receiver Unfairness (Q): number of sites on the path which does not request a stream as S or NS Our policy: fairness first, latency next (to preserve bandwidth) 3pathsforS3fromUKtoE: from to (1) UK -> E 18 ms (Q = 0) (2) UK -> -> E 168 ms (Q = 0) (3) UK -> IL -> E 147 ms (Q = 1) SN RV S NS UK S1 S2, S3 UK IL S1 S2 UK E S2 S1,S3
18 Path Prioritization stream from a sender site to a receiver can follow multiple paths Latency: EE between the sender and receiver Unfairness (Q): number of sites on the path which does not request a stream as S or NS Our policy: fairness first, latency next (to preserve bandwidth) Other heuristics: a sender site ONLY relays other senders S 3pathsforS3fromUKtoE: from to (1) UK -> E 18 ms (Q = 0) (2) UK -> -> E 168 ms (Q = 0) (3) UK -> IL -> E 147 ms (Q = 1) If is also a sender site
19 Path EE and Synchronization Skews EE of S paths decide the inter-sender/inter-receiver skews Video S have the greatest visual contributions Video S are given the top priority in dissemination Video NS may not arrive at the receivers Inter-stream skews are decided by EE of both S and NS paths ZERO audio-visual skew (audio and video S same path) Inter-video synchronized at the receiver jitter buffer of a fixed size throughout the system
20 Syncast esign (Initialization) Stream Prioritization Path Prioritization 1. Stream Prioritization 2. Path Prioritization 3. onstraint Setup Max BW_in = 3streams Max BW_out = 3 streams Max inter-stream skew = 50 ms Max inter-site skew = 50 ms
21 Syncast esign (S issemination) Stream Path S1: S Prioritization Prioritization isseminationi i S Tree onstruction Pi Prioritized iti stream queue at tuk: S1 = {S1(IL), S1(), S2(E)} S1: UK -> IL (80) S1: UK -> (72) S2: UK -> E (18) SN RV S (F) UK S1 (.8) UK IL S1 (.9) UK E S2 (.8)
22 Syncast esign (S issemination) Stream Path S1: S Prioritization Prioritization isseminationi i S Tree onstruction Pi Prioritized iti stream queue at tuk: S1 = {S1(IL), S1(), S2(E)} S1: UK -> IL (80) S1: UK -> (72) S2: UK -> E (18) SN RV S (F) UK S1 (.8) UK IL S1 (.9) UK E S2 (.8) Inter-receiver sync skew! ( )
23 Syncast esign (S issemination) Stream Path S1: S Prioritization Prioritization isseminationi i S Tree onstruction Pi Prioritized iti stream queue at tuk: S1 = {S1(IL), S1(), S2(E)} S1: UK -> IL (80) S1: UK -> (72) S2: UK -> E (18) S2: UK -> IL -> E (147) S2: UK -> -> E (168) S2: UK -> E (18) Inter-receiver sync Inter-receiver sync SN RV S (F) UK S1 (.8) Inter-receiver sync UK IL S1 (.9) and is a sender UK E S2 (.8)
24 Syncast esign (S issemination) Stream Path S1: S Prioritization Prioritization isseminationi i S Tree onstruction S Tree djustment Prioritized stream queue at UK: S1 = {S1(IL), S1(), S2(E)} S1: :U UK -> IL (80) S1: UK -> (72) S2: UK -> E (18) Find alternative path for UK->IL: NOT POSSIBLE! Violate Sync onstraint: Introduce latency at the receiver for S2: UK->E SN RV S (F) UK S1 (.8) UK IL S1 (.9) UK E S2 (.8)
25 Syncast esign (NS issemination) Stream Path S1: S S2: NS Pi Prioritization ii i Pi Prioritization ii i issemination isseminationi Select a parent node which is either a sender site or a site has received the stream with synchronization and bandwidth constraints Try to reduce the case when the sender directly sends a NS to a receiver in order to save the sender bandwidth Prioritized stream queue at UK: S2 = {S2(), S2(IL), S1(E), S3(E), S3()} SN RV S NS S2: UK->E-> (106) S2: UK->E->IL (92) S1: No Path (UK, E) inter-stream skew & BW S3: No Path (UK, E) BW constraints S3: No Path (UK, ) BW constraints UK S1 S2, S3 UK IL S1 S2 UK E S2 S1,S3S3
26 Syncast esign MORE ETILS? PLS REFER TO THE PPER! Si k BW Initialization w Sync Skew
27 Experiment Setup Internet delays are collected from PlanetLab nodes overing 3 continents: sia, mericas, Europe Firewall issues and poor links are considered 5-node (2 senders) and 9-node (4 senders) configurations Half of nodes are senders Each sender outputs 8 streams (1 S and 2 NS) User view diversity 50% of the receiver sites share the same video S nother 50% of the receiver sites share different S
28 We compare Syncast with Viewast Syncast Viewast elay Minimize delay elay bound Bandwidth BW bound BW bound PathFi Fairness Yes No Inter-stream skew Yes No Inter-sender skew Yes No Inter-receiver receiver skew Yes No Z. YN, W.WU, K. NHRSTET,. KURILLO, R. BJSY, Enabling Multi-party 3 Tele-immersive Environments with Viewast, M TOMP, 2009.
29 ifferent network environment (ms) Network ase: 5 Network ase: 5E IL E JP N IL E JP N IL UK E NY IL UK E NY
30 Experiment Results (Syncast vs Viewast) Syncast (blue line) consistently bounds the inter-stream skew. Viewast (red line) has greater variations Inter-sender/Inter-receiver skew bound for Syncast y elay bound for Viewast
31 Experiment Results (Syncast vs Viewast) Syncast (blue line) consistently bounds the inter-sender and inter-receiver skew, and is more reliable than Viewast results. Inter-sender/Inter-receiver skew bound for Syncast elay bound for Viewast
32 onclusions We propose Syncast used for multi-site synchronization oncept of stream service class Path selection algorithm to improve fairness Multicast tree (forest) construction Bound inter-stream and inter-site synchronization Evaluation using PlanetLab real Internet data
A Vision-based Compression and Dissemination Framework for 3D Tele-immersive System
A Vision-based Compression and Dissemination Framework for 3D Tele-immersive System Pengye Xia, Klara Nahrstedt Department of CS University of Illinois, Urbana-Champaign {pxia3, klara }@illinois.edu ABSTRACT
More information4D TeleCast: Towards Large Scale Multi-site and Multi-view Dissemination of 3DTI Contents
4D TeleCast: Towards Large Scale Multi-site and Multi-view Dissemination of 3DTI Contents hsan refin, Zixia Huang, Klara Nahrstedt, *Pooja garwal Department of Computer Science University of Illinois at
More information3DTI Amphitheater: Towards 3DTI Broadcasting
3DTI Amphitheater: Towards 3DTI Broadcasting SHANNON CHEN, ZHENHUAN GAO, KLARA NAHRSTEDT, and INDRANIL GUPTA, University of Illinois at Urbana-Champaign 3DTI Amphitheater is a live broadcasting system
More informationEnabling Multi-party 3D Tele-immersive Environments with ViewCast
Enabling Multi-party D Tele-immersive Environments with ViewCast ZHENYU YANG, WANMIN WU, KLARA NAHRSTEDT University of Illinois at Urbana-Champaign and GREGORIJ KURILLO, RUZENA BAJCSY University of California
More informationViewCast: View Dissemination and Management for Multi-party 3D Tele-immersive Environments
Viewast: View Dissemination and Management for Multi-party 3D Tele-immersive Environments Zhenyu Yang, Wanmin Wu, Klara Nahrstedt University of Illinois at Urbana-hampaign Department of omputer Science
More informationA common issue that affects the QoS of packetized audio is jitter. Voice data requires a constant packet interarrival rate at receivers to convert
A common issue that affects the QoS of packetized audio is jitter. Voice data requires a constant packet interarrival rate at receivers to convert data into a proper analog signal for playback. The variations
More information3DTI Amphitheater A Manageable 3DTI Environment with Hierarchical Stream Prioritization
3DTI A Manageable 3DTI Environment with Hierarchical Stream Prioritization Shannon Chen, Klara Nahrstedt, and Indranil Gupta Department of Computer Science, University of Illinois at Urbana-Champaign {cchen6,
More informationLecture 14: Performance Architecture
Lecture 14: Performance Architecture Prof. Shervin Shirmohammadi SITE, University of Ottawa Prof. Shervin Shirmohammadi CEG 4185 14-1 Background Performance: levels for capacity, delay, and RMA. Performance
More informationIntroduction to Quality of Service
Introduction to Quality of Service The use of IP as a foundation for converged networks has raised several issues for both enterprise IT departments and ISPs. IP and Ethernet are connectionless technologies
More informationMichael Johas Teener
Michael Johas Teener mikejt@broadcom.com IEEE 802.1 summary What is AV bridging? - and Ethernet AV? Why is it needed? Where will it be used? How does it work? 2 Responsible for higher level services within
More information6.033 Spring Lecture #12. In-network resource management Queue management schemes Traffic differentiation spring 2018 Katrina LaCurts
6.033 Spring 2018 Lecture #12 In-network resource management Queue management schemes Traffic differentiation 1 Internet of Problems How do we route (and address) scalably, while dealing with issues of
More informationTechnology for Adaptive Hard. Rui Santos, UA
HaRTES Meeting Enhanced Ethernet Switching Technology for Adaptive Hard Real-Time Applications Rui Santos, rsantos@ua.pt, UA SUMMARY 2 MOTIVATION Switched Ethernet t became common in real-time communications
More informationScalable Video Transport over Wireless IP Networks. Dr. Dapeng Wu University of Florida Department of Electrical and Computer Engineering
Scalable Video Transport over Wireless IP Networks Dr. Dapeng Wu University of Florida Department of Electrical and Computer Engineering Bandwidth Fluctuations Access SW Domain B Domain A Source Access
More informationBasics (cont.) Characteristics of data communication technologies OSI-Model
48 Basics (cont.) Characteristics of data communication technologies OSI-Model Topologies Packet switching / Circuit switching Medium Access Control (MAC) mechanisms Coding Quality of Service (QoS) 49
More informationhgs/sip2001 Conferencing 1 SIP Conferencing
hgs/sip2001 onferencing 1 SIP onferencing Henning Schulzrinne ept. of omputer Science olumbia University New York, New York (sip:)schulzrinne@cs.columbia.edu onference International SIP Paris, France February
More informationMultimedia Systems 2011/2012
Multimedia Systems 2011/2012 System Architecture Prof. Dr. Paul Müller University of Kaiserslautern Department of Computer Science Integrated Communication Systems ICSY http://www.icsy.de Sitemap 2 Hardware
More informationHard Disk Drives. Nima Honarmand (Based on slides by Prof. Andrea Arpaci-Dusseau)
Hard Disk Drives Nima Honarmand (Based on slides by Prof. Andrea Arpaci-Dusseau) Storage Stack in the OS Application Virtual file system Concrete file system Generic block layer Driver Disk drive Build
More informationEnhanced Ethernet Switching Technology. Time Applications. Rui Santos 17 / 04 / 2009
Enhanced Ethernet Switching Technology for Adaptive Hard Real- Time Applications Rui Santos (rsantos@ua.pt) 17 / 04 / 2009 Problem 2 Switched Ethernet became common in real-time communications Some interesting
More informationQoS User view From modelling to service class
QoS User view From modelling to service class STQ Workshop - 1 & 2 July 2009 P-Y Hebert AFUTT User Group vice-chairman ETSI 2009. All rights reserved Index UMTS Classes of Service (CoS) ITU-T Y.1541 QoS
More informationc 2011 by Wanmin Wu. All rights reserved.
c 2011 by Wanmin Wu. All rights reserved. HUMAN-CENTRIC CONTROL OF VIDEO FUNCTIONS AND UNDERLYING RESOURCES IN 3D TELE-IMMERSIVE SYSTEMS BY WANMIN WU DISSERTATION Submitted in partial fulfillment of the
More informationPrioritizing Services
CHAPTER 8 Voice, video, and data applications have differing quality of service needs. Voice applications, for example, require a small but guaranteed amount of bandwidth, are less tolerant of packet delay
More informationFM4000. A Scalable, Low-latency 10 GigE Switch for High-performance Data Centers
A Scalable, Low-latency 10 GigE Switch for High-performance Data Centers Uri Cummings Rebecca Collins Virat Agarwal Dan Daly Fabrizio Petrini Michael Perrone Davide Pasetto Hot Interconnects 17 (Aug 2009)
More informationA Predictable RTOS. Mantis Cheng Department of Computer Science University of Victoria
A Predictable RTOS Mantis Cheng Department of Computer Science University of Victoria Outline I. Analysis of Timeliness Requirements II. Analysis of IO Requirements III. Time in Scheduling IV. IO in Scheduling
More informationOptimization of Tele-Immersion Codes
Optimization of Tele-Immersion Codes Albert Sidelnik, I-Jui Sung, Wanmin Wu, María Garzarán, Wen-mei Hwu, Klara Nahrstedt, David Padua, Sanjay Patel University of Illinois at Urbana-Champaign 1 Agenda
More informationAn Empirical Study of Delay Jitter Management Policies
An Empirical Study of Delay Jitter Management Policies D. Stone and K. Jeffay Computer Science Department University of North Carolina, Chapel Hill ACM Multimedia Systems Volume 2, Number 6 January 1995
More informationEfficient Point to Multipoint Transfers Across Datacenters
Efficient Point to Multipoint Transfers cross Datacenters Mohammad Noormohammadpour 1, Cauligi S. Raghavendra 1, Sriram Rao, Srikanth Kandula 1 University of Southern California, Microsoft Source: https://azure.microsoft.com/en-us/overview/datacenters/how-to-choose/
More informationCOMP 249 Advanced Distributed Systems Multimedia Networking. Performance of Multimedia Delivery on the Internet Today
COMP 249 Advanced Distributed Systems Multimedia Networking Performance of Multimedia Delivery on the Internet Today Kevin Jeffay Department of Computer Science University of North Carolina at Chapel Hill
More informationResource Control and Reservation
1 Resource Control and Reservation Resource Control and Reservation policing: hold sources to committed resources scheduling: isolate flows, guarantees resource reservation: establish flows 2 Usage parameter
More informationRSVP 1. Resource Control and Reservation
RSVP 1 Resource Control and Reservation RSVP 2 Resource Control and Reservation policing: hold sources to committed resources scheduling: isolate flows, guarantees resource reservation: establish flows
More informationCSE 123b Communications Software
CSE 123b Communications Software Spring 2002 Lecture 10: Quality of Service Stefan Savage Today s class: Quality of Service What s wrong with Best Effort service? What kinds of service do applications
More informationTELE Switching Systems and Architecture. Assignment Week 10 Lecture Summary - Traffic Management (including scheduling)
TELE9751 - Switching Systems and Architecture Assignment Week 10 Lecture Summary - Traffic Management (including scheduling) Student Name and zid: Akshada Umesh Lalaye - z5140576 Lecturer: Dr. Tim Moors
More informationOutline. MAC (Medium Access Control) General MAC Requirements. Typical MAC protocols. Typical MAC protocols
Outline Medium ccess ontrol With oordinated daptive Sleeping for Wireless Sensor Networks Presented by: rik rooks Introduction to M S-M Overview S-M Evaluation ritique omparison to MW Washington University
More informationApplication-Level Measurements of Performance on the vbns *
Application-Level Measurements of Performance on the vbns * Michele Clark Kevin Jeffay University of North Carolina at Chapel Hill Department of Computer Science Chapel Hill, NC 2799-317 USA {clark,jeffay}@cs.unc.edu
More informationComputer Architecture Lecture 24: Memory Scheduling
18-447 Computer Architecture Lecture 24: Memory Scheduling Prof. Onur Mutlu Presented by Justin Meza Carnegie Mellon University Spring 2014, 3/31/2014 Last Two Lectures Main Memory Organization and DRAM
More informationLocalization approaches based on Ethernet technology
Localization approaches based on Ethernet technology Kees den Hollander, GM Garner, Feifei Feng, Paul Jeong, Eric H.S. Ryu Contact: Eric H.S. Ryu eric_ryu@samsung.com Abstract This document describes two
More informationIntroduction to Real-Time Communications. Real-Time and Embedded Systems (M) Lecture 15
Introduction to Real-Time Communications Real-Time and Embedded Systems (M) Lecture 15 Lecture Outline Modelling real-time communications Traffic and network models Properties of networks Throughput, delay
More informationPROBABILISTIC SCHEDULING MICHAEL ROITZSCH
Faculty of Computer Science Institute of Systems Architecture, Operating Systems Group PROBABILISTIC SCHEDULING MICHAEL ROITZSCH DESKTOP REAL-TIME 2 PROBLEM worst case execution time (WCET) largely exceeds
More informationCore-Stateless Fair Queueing: Achieving Approximately Fair Bandwidth Allocations in High Speed Networks. Congestion Control in Today s Internet
Core-Stateless Fair Queueing: Achieving Approximately Fair Bandwidth Allocations in High Speed Networks Ion Stoica CMU Scott Shenker Xerox PARC Hui Zhang CMU Congestion Control in Today s Internet Rely
More informationCS557: Queue Management
CS557: Queue Management Christos Papadopoulos Remixed by Lorenzo De Carli 1 Congestion Control vs. Resource Allocation Network s key role is to allocate its transmission resources to users or applications
More informationFairness, Queue Management, and QoS
Fairness, Queue Management, and QoS 15-441 Fall 2017 Profs Peter Steenkiste & Justine Sherry Slides borrowed from folks at CMU, Berkeley, and elsewhere. YINZ I AM GETTING T-SHIRTS If you TA for me next
More informationTroubleshooting Packet Loss. Steven van Houttum
Troubleshooting Packet Loss Steven van Houttum INTRODUCTION Steven van Houttum Consultant/Trainer MVP Office Server & Services (Skype for Business) TROUBLESHOOTING PACKET LOSS, IS IT REALLY THE NETWORK?
More informationEnd-to-End Mechanisms for QoS Support in Wireless Networks
End-to-End Mechanisms for QoS Support in Wireless Networks R VS Torsten Braun joint work with Matthias Scheidegger, Marco Studer, Ruy de Oliveira Computer Networks and Distributed Systems Institute of
More informationQoS in Frame relay networks
QoS in Frame Relay ndrea ianco Telecommunication Network Group firstname.lastname@polito.it http://www.telematica.polito.it/ omputer Networks esign and Management - 1 Frame Relay: characteristics Packet
More informationThe Effects of Asymmetry on TCP Performance
The Effects of Asymmetry on TCP Performance Hari Balakrishnan Venkata N. Padmanabhan Randy H. Katz University of California at Berkeley Daedalus/BARWAN Retreat June 1997 Outline Overview Bandwidth asymmetry
More informationMapping Mechanism to Enhance QoS in IP Networks
Mapping Mechanism to Enhance QoS in IP Networks by Sriharsha Karamchati, Shatrunjay Rawat, Sudhir Yarram, Guru Prakash Ramaguru in The 32nd International Conference on Information Networking (ICOIN 2018)
More informationCommunication Problems. Flow Control
Communication Problems Flow, loss, congestion, policing Messages get lost due to several factors, including collisions, lack of buffer space, lack of computing power, etc To allow the flow of data at a
More informationEfficient Point to Multipoint Transfers Across Datacenters
Efficient Point to Multipoint Transfers cross atacenters Mohammad Noormohammadpour 1, Cauligi S. Raghavendra 1, Sriram Rao, Srikanth Kandula 1 University of Southern California, Microsoft Source: https://azure.microsoft.com/en-us/overview/datacenters/how-to-choose/
More informationCisco IOS Switching Paths Overview
This chapter describes switching paths that can be configured on Cisco IOS devices. It contains the following sections: Basic Router Platform Architecture and Processes Basic Switching Paths Features That
More informationSystems. Roland Kammerer. 10. November Institute of Computer Engineering Vienna University of Technology. Communication Protocols for Embedded
Communication Roland Institute of Computer Engineering Vienna University of Technology 10. November 2010 Overview 1. Definition of a protocol 2. Protocol properties 3. Basic Principles 4. system communication
More informationOn Graph Query Optimization in Large Networks
On Graph Query Optimization in Large Networks Peixiang Zhao, Jiawei Han Department of omputer Science University of Illinois at Urbana-hampaign pzhao4@illinois.edu, hanj@cs.uiuc.edu September 14th, 2010
More informationDistributed Algorithms in Networks EECS 122: Lecture 17
istributed lgorithms in Networks EES : Lecture 7 epartment of Electrical Engineering and omputer Sciences University of alifornia erkeley Network Protocols often have unintended effects TP Eample TP connections
More informationReal-Time Protocol (RTP)
Real-Time Protocol (RTP) Provides standard packet format for real-time application Typically runs over UDP Specifies header fields below Payload Type: 7 bits, providing 128 possible different types of
More informationShortest Path Computation in Multicast Network with Multicast Capable and Incapable Delay Associated Nodes
Shortest Path Computation in Multicast Network with Multicast Capable and Incapable elay Associated Nodes Sonal Yadav, Sharath Naik Abstract Multicast transmission results in a bandwidth and cost efficient
More informationScheduling Real-Time Communication in IEEE 802.1Qbv Time Sensitive Networks
Scheduling Real-Time Communication in IEEE 802.1Qbv Time Sensitive Networks Silviu S. Craciunas, Ramon Serna Oliver, Martin Chmelik, Wilfried Steiner TTTech Computertechnik AG RTNS 2016, Brest, France,
More informationWiNG 5.x Feature Guide QoS
Configuration Guide for RFMS 3.0 Initial Configuration XXX-XXXXXX-XX WiNG 5.x Feature Guide QoS April, 2011 Revision 1.0 MOTOROLA SOLUTIONS and the Stylized M Logo are registered in the US Patent & Trademark
More information15-740/ Computer Architecture Lecture 20: Main Memory II. Prof. Onur Mutlu Carnegie Mellon University
15-740/18-740 Computer Architecture Lecture 20: Main Memory II Prof. Onur Mutlu Carnegie Mellon University Today SRAM vs. DRAM Interleaving/Banking DRAM Microarchitecture Memory controller Memory buses
More informationVOIP Network Pre-Requisites
VOIP Network Pre-Requisites Executive Summary This document contains basic network requirements that are foundational for good voice quality when using Vogtec VoIP products/solutions over a data network.
More informationImplementing a NTP-Based Time Service within a Distributed Middleware System
Implementing a NTP-Based Time Service within a Distributed Middleware System ACM International Conference on the Principles and Practice of Programming in Java (PPPJ `04) Hasan Bulut 1 Motivation Collaboration
More informationNetwork Layer Enhancements
Network Layer Enhancements EECS 122: Lecture 14 Department of Electrical Engineering and Computer Sciences University of California Berkeley Today We have studied the network layer mechanisms that enable
More informationNetworking Acronym Smorgasbord: , DVMRP, CBT, WFQ
Networking Acronym Smorgasbord: 802.11, DVMRP, CBT, WFQ EE122 Fall 2011 Scott Shenker http://inst.eecs.berkeley.edu/~ee122/ Materials with thanks to Jennifer Rexford, Ion Stoica, Vern Paxson and other
More informationINTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY
INTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY A PATH FOR HORIZING YOUR INNOVATIVE WORK REVIEW ON CONGESTION CONTROL IN WIRELESS SENSOR NETWORK MR. HARSHAL D. WANKHADE,
More informationProf. Dr. Abdulmotaleb El Saddik. site.uottawa.ca mcrlab.uottawa.ca. Quality of Media vs. Quality of Service
Multimedia Communications Multimedia Technologies & Applications Prof. Dr. Abdulmotaleb El Saddik Multimedia Communications Research Laboratory School of Information Technology and Engineering University
More informationModeling a MAC Scheduler: Experiences with a DOCSIS Cable
Modeling a MAC Scheduler: Experiences with a DOCSIS Cable Network Simulation Model Jim Martin Department of Computer Science Clemson University jim.martin@cs.clemson.edu Phone: 864 656 4529 Fax: 864 656
More informationLecture 13: Traffic Engineering
Lecture 13: Traffic Engineering CSE 222A: Computer Communication Networks Alex C. Snoeren Thanks: Mike Freedman, Nick Feamster Lecture 13 Overview Evolution of routing in the ARPAnet Today s TE: Adjusting
More informationDistribution Systems for 3D Teleimmersive and Video 360 Content: Similarities and Differences
Distribution Systems for 3D Teleimmersive and Video 360 Content: Similarities and Differences Klara Nahrstedt Department of Computer Science University of Illinois at Urbana-Champaign klara@illinois.edu
More informationVideo Streaming in Wireless Environments
Video Streaming in Wireless Environments Manoj Kumar C Advisor Prof. Sridhar Iyer Kanwal Rekhi School of Information Technology Indian Institute of Technology, Bombay Mumbai 1 Motivation Refers to real-time
More informationGeneral comments on candidates' performance
BCS THE CHARTERED INSTITUTE FOR IT BCS Higher Education Qualifications BCS Level 5 Diploma in IT April 2018 Sitting EXAMINERS' REPORT Computer Networks General comments on candidates' performance For the
More informationInteger Programming for Media Streams Planning Problem
Integer Programming for Media Streams Planning Problem Pavel Troubil Hana Rudová MEMICS 2010, October 24, 2010 Motivation Advanced collaborative environments Setup communication similarly as a phone call
More informationLecture 9: Bridging & Switching"
Lecture 9: Bridging & Switching" CSE 123: Computer Networks Alex C. Snoeren HW 2 due Wednesday! Lecture 9 Overview" Finishing up media access Contention-free methods (rings) Moving beyond one wire Link
More informationQuality of Service Mechanism for MANET using Linux Semra Gulder, Mathieu Déziel
Quality of Service Mechanism for MANET using Linux Semra Gulder, Mathieu Déziel Semra.gulder@crc.ca, mathieu.deziel@crc.ca Abstract: This paper describes a QoS mechanism suitable for Mobile Ad Hoc Networks
More informationETSF10 Internet Protocols Transport Layer Protocols
ETSF10 Internet Protocols Transport Layer Protocols 2012, Part 2, Lecture 2.2 Kaan Bür, Jens Andersson Transport Layer Protocols Special Topic: Quality of Service (QoS) [ed.4 ch.24.1+5-6] [ed.5 ch.30.1-2]
More informationQoS Requirements and Implementation for IMS Network
QoS Requirements and Implementation for IMS Network Manish Kumar Rana, Hemant Narayan Abstract: The issue of converged networks is to ensure the sufficient quality of services for entire duration of communication
More informationc 2007 by Zhenyu Yang. All rights reserved.
c 2007 by Zhenyu Yang. All rights reserved. MULTI-STREAM MANAGEMENT FOR SUPPORTING MULTI-PARTY 3D TELE-IMMERSIVE ENVIRONMENTS BY ZHENYU YANG B.E., Shanghai Jiao Tong University, 1994 M.S., University of
More informationI T 3 2 UNIT 9 W A N. Intermediate TCP/IP T E C H N O L O G Y DPW
UI 9 Intermediate P/IP Packet eader Protocol field maps layer to layer 4 P & UDP eaders Delivery Services uaranteed delivery Delivery with bounded delay guaranteed within a specific time period In order
More informationAdaptive Video Multicasting
Adaptive Video Multicasting Presenters: Roman Glistvain, Bahman Eksiri, and Lan Nguyen 1 Outline Approaches to Adaptive Video Multicasting Single rate multicast Simulcast Active Agents Layered multicasting
More informationCCD: Efficient Customized Content Dissemination in Distributed Publish/Subscribe
Dissemination in Distributed Publish/Subscribe H. Jafarpour, B. Hore, S. Mehrotra and N. Venkatasubramanian Information Systems Group Dept. of Computer Science UC Irvine 1 Customized content dissemination
More informationComparison of the Quality of Service (QoS) on the IEEE e and the g Wireless LANs
ENSC 427: COMMUNICATION NETWORKS Comparison of the Quality of Service (QoS) on the IEEE 802.11e and the 802.11g Wireless LANs Spring 2010 Final Report Group 5 Yalda Hakki (yha17@sfu.ca) Rosy Johal (rja2@sfu.ca)
More informationMobile Surveillance Solution
Mobile Surveillance Solution Author: Designation: Company: Basanta Kumar Sethi Sr. Software Engineer Kelltontech Solutions Ltd. Document No: ENG-20150728 Version: V0.03 Page 1 of 7 Introduction The Mobile
More information2. REAL-TIME CONTROL SYSTEM AND REAL-TIME NETWORKS
2. REAL-TIME CONTROL SYSTEM AND REAL-TIME NETWORKS 2.1 Real-Time and Control Computer based digital controllers typically have the ability to monitor a number of discrete and analog inputs, perform complex
More informationPriority Traffic CSCD 433/533. Advanced Networks Spring Lecture 21 Congestion Control and Queuing Strategies
CSCD 433/533 Priority Traffic Advanced Networks Spring 2016 Lecture 21 Congestion Control and Queuing Strategies 1 Topics Congestion Control and Resource Allocation Flows Types of Mechanisms Evaluation
More informationOn the Performance Characteristics of WLANs: Revisited
On the Performance Characteristics of WLANs: Revisited S. Choi,, K. Park and C.K. Kim Sigmetrics 2005 Banff, Canada Presenter - Bob Kinicki Advanced Computer Networks Fall 2007 Outline Introduction System
More informationAdmission Control in Time-Slotted Multihop Mobile Networks
dmission ontrol in Time-Slotted Multihop Mobile Networks Shagun Dusad and nshul Khandelwal Information Networks Laboratory Department of Electrical Engineering Indian Institute of Technology - ombay Mumbai
More informationA Simple Description of SDP in SMPTE ST2110
WHITE PAPER A Simple Description of SDP in SMPTE ST2110 Authors : Renaud Lavoie Sithideth Viengkhou Sébastien Berthiaume INTRODUCTION During our discussions with customers about SMPTE ST2110 and media-over-ip,
More informationA Multi-stream Adaptation Framework for Bandwidth Management in 3D Tele-immersion
A Multi-stream Adaptation Framework for Bandwidth Management in 3D Tele-immersion Zhenyu Yang, Bin Yu, Klara Nahrstedt University of Illinois at Urbana-Champaign Department of Computer Science SC, 201
More informationTiming-Based Communication Refinement for CFSMs
Timing-Based Communication Refinement for CFSMs Heloise Hse and Irene Po {hwawen, ipo}@eecs.berkeley.edu EE249 Term Project Report December 10, 1998 Department of Electrical Engineering and Computer Sciences
More informationPriority Considerations for Fronthaul Traffic. Raghu M. Rao, Xilinx Inc.
Priority Considerations for Fronthaul Traffic Raghu M. Rao, Xilinx Inc. Compliance with IEEE Standards Policies and Procedures Subclause 5.2.1 of the IEEE-SA Standards Board Bylaws states, "While participating
More informationAn RDMA Protocol Specification (Version 1.0)
draft-recio-iwarp-rdmap-v.0 Status of this Memo R. Recio IBM Corporation P. Culley Hewlett-Packard Company D. Garcia Hewlett-Packard Company J. Hilland Hewlett-Packard Company October 0 An RDMA Protocol
More informationReal Time Linux patches: history and usage
Real Time Linux patches: history and usage Presentation first given at: FOSDEM 2006 Embedded Development Room See www.fosdem.org Klaas van Gend Field Application Engineer for Europe Why Linux in Real-Time
More informationCS 356: Computer Network Architectures. Lecture 24: IP Multicast and QoS [PD] Chapter 4.2, 6.5. Xiaowei Yang
CS 356: Computer Network Architectures Lecture 24: IP Multicast and QoS [PD] Chapter 4.2, 6.5 Xiaowei Yang xwy@cs.duke.edu Overview Two historic important topics in networking Multicast QoS Limited Deployment
More informationUnit 2 Packet Switching Networks - II
Unit 2 Packet Switching Networks - II Dijkstra Algorithm: Finding shortest path Algorithm for finding shortest paths N: set of nodes for which shortest path already found Initialization: (Start with source
More informationNGF0401 Instructor Slides
Advanced Site to Site VPN Barracuda NextGen Firewall F VPN Tunnel Routing Separate routing table Default behavior Uses source based routing Creates separate premain routing tables for every VPN tunnel
More informationCSE 123: Computer Networks Alex C. Snoeren. HW 2 due Thursday 10/21!
CSE 123: Computer Networks Alex C. Snoeren HW 2 due Thursday 10/21! Finishing up media access Contention-free methods (rings) Moving beyond one wire Link technologies have limits on physical distance Also
More informationSoftware Architecture for Immersipresence
Software Architecture for Immersipresence Alexandre R.J. François Computer Science Department alexandre.francois@usc.edu ARJF 2006 Software Architecture Design, analysis and implementation of software
More informationGUIDELINES FOR VOIP NETWORK PREREQUISITES
GUIDELINES FOR VOIP NETWORK PREREQUISITES WHITE PAPER October 2016 Unified Networks Unified User Clients Unified Messaging Mobility 100+ Call Management Features Executive Summary This document contains
More informationImproving VoD System Efficiency with Multicast and Caching
Improving VoD System Efficiency with Multicast and Caching Jack Yiu-bun Lee Department of Information Engineering The Chinese University of Hong Kong Contents 1. Introduction 2. Previous Works 3. UVoD
More informationQuality of Service II
Quality of Service II Patrick J. Stockreisser p.j.stockreisser@cs.cardiff.ac.uk Lecture Outline Common QoS Approaches Best Effort Integrated Services Differentiated Services Integrated Services Integrated
More informationHTTP/2 Stream Priority in ATS. ATS Spring 2016 Summit Masaori Koshiba
HTTP/2 Stream Priority in ATS ATS Spring 2016 Summit Masaori Koshiba Agenda 1. Summary of Stream Priority Specs 2. Algorithms and Implementations 3. Performance 4. Issues / Questions / Discussions 1. Summary
More informationThe Nostrum Network on Chip
The Nostrum Network on Chip 10 processors 10 processors Mikael Millberg, Erland Nilsson, Richard Thid, Johnny Öberg, Zhonghai Lu, Axel Jantsch Royal Institute of Technology, Stockholm November 24, 2004
More informationEE122: Multicast. Internet Radio. Multicast Service Model 1. Motivation
Internet Radio EE122: Multicast Kevin Lai October 7, 2002 wwwdigitallyimportedcom (techno station) - sends out 128Kb/s MP music streams - peak usage ~9000 simultaneous streams only 5 unique streams (trance,
More informationEE122: Multicast. Kevin Lai October 7, 2002
EE122: Multicast Kevin Lai October 7, 2002 Internet Radio www.digitallyimported.com (techno station) - sends out 128Kb/s MP3 music streams - peak usage ~9000 simultaneous streams only 5 unique streams
More information