3/18/2016Anue Systems, Inc. www.anuesystems.com 1 v1.0 - 20050426 Telecommunications Industry AssociationTR-30.3/08-07-012 Arlington, VA July 14 - 15,

Slides:



Advertisements
Similar presentations
10/11/2014Anue Systems, Inc. 1 v Telecommunications Industry AssociationTR-30.3/ Lake Buena Vista, FL December.
Advertisements

Traffic and routing. Network Queueing Model Packets are buffered in egress queues waiting for serialization on line Link capacity is C bps Average packet.
Simulation Study on the Effect of the trTCM Parameters Hakyong KIM R&D Center, Corecess Inc. Tel : PCS : Mail :
Jaringan Komputer Lanjut Packet Switching Network.
CONGESTION CONTROL T.Najah Al-Subaie Kingdom of Saudi Arabia Prince Norah bint Abdul Rahman University College of Computer Since and Information System.
© 2006 Cisco Systems, Inc. All rights reserved. Module 4: Implement the DiffServ QoS Model Lesson 4.7: Introducing Traffic Policing and Shaping.
1.  Congestion Control Congestion Control  Factors that Cause Congestion Factors that Cause Congestion  Congestion Control vs Flow Control Congestion.
Engineering Internet QoS
Jaringan Komputer Lanjut Traffic Management Aurelio Rahmadian.
Priority Scheduling and Buffer Management for ATM Traffic Shaping Authors: Todd Lizambri, Fernando Duran and Shukri Wakid Present: Hongming Wu.
NETWORK LAYER. CONGESTION CONTROL In congestion control we try to avoid traffic congestion. Traffic Descriptor Traffic descriptors are qualitative values.
1 Performance Evaluation of EF-Admit draft-gunn-tsvwg-ef-admit-evaluation-00 with updates J. Gunn Computer Sciences Corporation R. Lichtenfels National.
Ion Stoica, Scott Shenker, and Hui Zhang SIGCOMM’98, Vancouver, August 1998 subsequently IEEE/ACM Transactions on Networking 11(1), 2003, pp Presented.
1 Call Admission Control Carey Williamson Department of Computer Science University of Calgary.
Presented By: Pariya Raoufi. Motivations Future applications require: higher bandwidth, generate a heterogeneous mix of network traffic, low latency.
Differentiated Services. Service Differentiation in the Internet Different applications have varying bandwidth, delay, and reliability requirements How.
Nick McKeown CS244 Lecture 6 Packet Switches. What you said The very premise of the paper was a bit of an eye- opener for me, for previously I had never.
A Case for Relative Differentiated Services and the Proportional Differentiation Model Constantinos Dovrolis Parameswaran Ramanathan University of Wisconsin-Madison.
1 Modeling and Emulation of Internet Paths Pramod Sanaga, Jonathon Duerig, Robert Ricci, Jay Lepreau University of Utah.
What's inside a router? We have yet to consider the switching function of a router - the actual transfer of datagrams from a router's incoming links to.
Provisioning On-line Games: A Traffic Analysis of a Busy Counter- Strike Server Wu-chang Feng, Francis Chang, Wu-chi Feng, Jonathan Walpole Instructor:
End-to-End Analysis of Distributed Video-on-Demand Systems Padmavathi Mundur, Robert Simon, and Arun K. Sood IEEE Transactions on Multimedia, February.
1 Advances in Optical Switching Mohammad Ilyas, PhD College of Engineering & Computer Science Florida Atlantic University Boca Raton, Florida USA
CS Summer 2003 Lecture 8. CS Summer 2003 Populating LFIB with LDP Assigned/Learned Labels Changes in the LFIB may be triggered routing or.
Chapter 10 Introduction to Wide Area Networks Data Communications and Computer Networks: A Business User’s Approach.
1 Active Probing for Available Bandwidth Estimation Sridhar Machiraju UC Berkeley OASIS Retreat, Jan 2005 Joint work with D.Veitch, F.Baccelli, A.Nucci,
K. Salah 1 Chapter 28 VoIP or IP Telephony. K. Salah 2 VoIP Architecture and Protocols Uses one of the two multimedia protocols SIP (Session Initiation.
UCB Improvements in Core-Stateless Fair Queueing (CSFQ) Ling Huang U.C. Berkeley cml.me.berkeley.edu/~hlion.
© 2006 Cisco Systems, Inc. All rights reserved. Module 4: Implement the DiffServ QoS Model Lesson 4.5: Configuring CBWFQ and LLQ.
QoS Guarantees  introduction  call admission  traffic specification  link-level scheduling  call setup protocol  required reading: text, ,
Analyze Assure Accelerate Network Model for Evaluating Multimedia Transmission Performance Over Internet Protocol PN Will become TIA/EIA-921 Jack.
© 2006 Cisco Systems, Inc. All rights reserved. Optimizing Converged Cisco Networks (ONT) Module 4: Implement the DiffServ QoS Model.
1 Kommunikatsiooniteenuste arendus IRT0080 Loeng 7 Avo Ots telekommunikatsiooni õppetool, TTÜ raadio- ja sidetehnika inst.
Top-Down Network Design Chapter Thirteen Optimizing Your Network Design Oppenheimer.
A Distributed Energy Saving Approach for Ethernet Switches in Data Centers Weisheng Si 1, Javid Taheri 2, Albert Zomaya 2 1 School of Computing, Engineering,
Building Differentiated Services Using the Assured Forwarding PHB Group Juha Heinänen Telia Finland Inc.
Improving QoS Support in Mobile Ad Hoc Networks Agenda Motivations Proposed Framework Packet-level FEC Multipath Routing Simulation Results Conclusions.
INTERNATIONAL TELECOMMUNICATION TELECOMMUNICATION STANDARDIZATION SECTOR STUDY PERIOD January 18-27, English only Original: English Question(s):Q13,
Computer Networks Performance Metrics. Performance Metrics Outline Generic Performance Metrics Network performance Measures Components of Hop and End-to-End.
Role and Mechanism of Queue Internet Engineering.
Wolfgang EffelsbergUniversity of Mannheim1 Differentiated Services for the Internet Wolfgang Effelsberg University of Mannheim September 2001.
A T M (QoS).
Development of a New Efficient and Accurate Available Bandwidth Estimation Method Péter Hága Attila Pásztor István Csabai Darryl Veitch Viktória Hunyadi.
Univ. of TehranAdv. topics in Computer Network1 Advanced topics in Computer Networks University of Tehran Dept. of EE and Computer Engineering By: Dr.
All Rights Reserved © Alcatel-Lucent | TIA 30.3 Contribution | August 2010 Telecommunications Industry AssociationTR-30.3/ Arlington, VA.
Voice Design Last Update Copyright 2011 Kenneth M. Chipps Ph.D. 1.
Anue Systems Inc1 v Telecommunications Industry AssociationTR-30.3/ Lake Buena Vista, FL December 8 - 9, 2008.
10/24/2015Anue Systems, Inc. 1 v Telecommunications Industry AssociationTR-30.3/ Lake Buena Vista, FL December.
© 2006 Cisco Systems, Inc. All rights reserved. Optimizing Converged Cisco Networks (ONT) Module 3: Introduction to IP QoS.
Outlines Received due 13 March 30 %. NO CLASS Week of March (Spring Break)
The Design and Implementation of Firewall, NAT, Traffic Shaper on FreeBSD.
Multiplicative Wavelet Traffic Model and pathChirp: Efficient Available Bandwidth Estimation Vinay Ribeiro.
Anue Systems Inc1 v Telecommunications Industry AssociationTR-30.3/ Via Teleconference, January 5, 2009.
1 1 July 28, Goal of this session is too have a discussion where we learn about the relevant data to help us understand the problem and design.
Lecture # 03 Switching Course Instructor: Engr. Sana Ziafat.
Self-generated Self-similar Traffic Péter Hága Péter Pollner Gábor Simon István Csabai Gábor Vattay.
ECS5365 Lecture 6 ATM Traffic and Network Management
V Telecommunications Industry AssociationTR-30.3/ Arlington, VA, March 30-31, 2009.
Analyze Assure Accelerate Network Model for Evaluating Multimedia Transmission Performance Over Internet Protocol PN Will become TIA/EIA-921 Jack.
Anue Systems Inc1 v Telecommunications Industry AssociationTR-30.3/ Via Teleconference, February 10, 2010.
1 Network Simulation and Testing Polly Huang EE NTU
© 2006 Cisco Systems, Inc. All rights reserved. 3.2: Implementing QoS.
Tunnel-based mechanisms for datacenter latency control Xinpeng Wei.
An End-to-End Service Architecture r Provide assured service, premium service, and best effort service (RFC 2638) Assured service: provide reliable service.
Univ. of TehranIntroduction to Computer Network1 An Introduction to Computer Networks University of Tehran Dept. of EE and Computer Engineering By: Dr.
Chapter 10 Congestion Control in Data Networks and Internets 1 Chapter 10 Congestion Control in Data Networks and Internets.
V Telecommunications Industry AssociationTR-30.3/ Lake Buena Vista, FL December 8 - 9, 2008.
The Network Layer Role Services Main Functions Standard Functions
Queue Dynamics with Window Flow Control
QoS Guarantees introduction call admission traffic specification
Presentation transcript:

3/18/2016Anue Systems, Inc. 1 v Telecommunications Industry AssociationTR-30.3/ Arlington, VA July , 2008

TIA-921 improvements Chip Webb, CTO – Anue Systems July Arlington

3/18/2016Anue Systems, Inc. 3 Outline Areas for future work  Bandwidth Limitation  Duplicate test cases  Behavior with CBR versus VBR sources  Time correlation of forward/reverse model Conclusions

3/18/2016Anue Systems, Inc. 4 Bandwidth limitations TIA-921 does not require policing or shaping of user data This is wrong for several reasons:  In real-life, a rate-limited link drops packets when the user bit rate exceeds the link bit rate.  In real life, a rate-limited link drops packet bursts that exceed the available buffer size.  In real life, a rate-limited link smooths out traffic bursts. The amount of that effect will depend on link utilization and the proportion of user traffic that that represents.

3/18/2016Anue Systems, Inc. 5 Example: Bandwidth smoothing effect Egress Queue Output Pkts Input Pkts p5 time p4p3p2p1p6p7p8 time p1p2p3p4p6p7p8 Note: P5 is dropped. Note: The output bit rate for this example is ½ the input bit rate. The effect is even more pronounced for larger ratios (such as T1/GigE).

3/18/2016Anue Systems, Inc. 6 Duplicate Test cases The TIA-921 model is unidirectional  The code in the reference model ignores reverse link bit rates, except for calculating LOOs Examples:  TIA-921: TC10 and TC19 are same (A2B)  TIA-921-A: TC49 and TC73 are same (A2B) Summary:  TIA-921: 92 of the 120 have duplicates  TIA-921-A: 48 of 96 Lan2Lan cases have dupes.

3/18/2016Anue Systems, Inc. 7 TIA-921 Duplicates (A2B) direction

3/18/2016Anue Systems, Inc. 8 TIA-921-A Lan2Lan Duplicates (A2B)

3/18/2016Anue Systems, Inc. 9 Reverse model correspondence For the reverse model of each rate combination, there exists at least one equivalent forward rate combination. Examples:  TIA-921: TC13 B2A same as A2B in 13,22,46&60  TIA-921-A: TC13 B2A same as A2B in 49&73 Some rate combos are symmetric and are thus their own reverse (e.g. 1,2,3)

3/18/2016Anue Systems, Inc TIA-921 Reverse (B2A)

3/18/2016Anue Systems, Inc TIA-921-A Reverse (B2A)

3/18/2016Anue Systems, Inc Model behavior, CBR versus VBR A fundamental assumption is that the model calculates new impairment values for approximately each packet  Thus we used 1ms update rate for 1k pps voice  And we used a 50us update rate for DTV But, if traffic is bursty, and a whole burst of packets arrives during a timeslot which is marked for drop, the entire burst can get clobbered merely by being unlucky. The model should have a way to handle bursty traffic more correctly.

3/18/2016Anue Systems, Inc Time correlation of fwd/rev For bidirectional emulation using the model, we must create two instances of the model  One for the forward link and one for the reverse. These two models are not time correlated  Therefore congestion in the forward link is uncorrelated with congestion in the reverse link. Link failure and route flap are also uncorrelated.  I believe that in the real world there will be significant correlation between the two directions.  The model should have a way to mimic this behavior. This leads to uncontrolled assymetry of delay  Certain services may be sensitive to delay assymetry e.g. Two-way time transfer: NTP, PTP and CESoETH

3/18/2016Anue Systems, Inc Conclusions Bandwidth limiting and smoothing are important missing components of the existing model and should be added. The rate combinations contain some redundancy that leads to confusion. Further work is required to determine if there’s a better way to designate the various rate combinations VBR traffic can be “unlucky” and get zapped. Further works is required to determine how to address this Forward and reverse models have no time correlation. This should be added to the model.