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Network Model for Evaluating Multimedia Transmission Performance Over Internet Protocol PN-3-0062 Will become TIA/EIA-921 Jack Douglass, Spirent Chair.

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Presentation on theme: "Network Model for Evaluating Multimedia Transmission Performance Over Internet Protocol PN-3-0062 Will become TIA/EIA-921 Jack Douglass, Spirent Chair."— Presentation transcript:

1 Network Model for Evaluating Multimedia Transmission Performance Over Internet Protocol PN Will become TIA/EIA-921 Jack Douglass, Spirent Chair TIA TR30.3 March 2004 TR

2 Purpose of Presentation
Establish a formal liaison between TR30.3 and TR41 to help develop Network Model for Evaluating Multimedia Transmission Performance Over Internet Protocol (PN ) Other Liaisons Activities ITU-T SG11 ITU-T SG13 ITU-T SG12 ITU-T SG15 Q7 ITU-T SG16 Q11, Q14 (QF) IETF Etc. Invite TR41 members to TR30.3 meetings to work on IP Network Model IP Network Statistics Network Architecture Test Scenarios

3 TR30.3 Modem Test Standards
TIA/EIA 496A-1989: Interface Between Data Circuit Terminating Equipment (DCE) and the Public Switched Telephone Network Included Network Model for Evaluating Modem Performance TIA/EIA TSB 37A-1994: Telephone Network Transmission Model for Evaluating Analog Modem Performance, which became ITU-T Recommendation V.56bis-1995 EIA/TIA TSB : Test Procedures for Evaluation of 2-Wire 4 Kilohertz Voice Band Duplex Modems, which became ITU-T Recommendation V.56ter-1996 ANSI/TIA/EIA : Telephone Network Transmission Model for Evaluating Analog Modem Performance ANSI/TIA/EIA : North American Telephone Network Transmission Model for Evaluating Analog Client and Digitally Connected Server Modems ANSI/TIA 876 – 2002: North American Network Access Transmission Model for Evaluating xDSL Modem Performance

4 Network Model Coverage (NMC) Methodology
Waterfall Curves Traditional method of measuring modem performance Error rate measured against single impairments such as Gaussian noise Severe stress conditions Network Model Coverage (NMC) Introduced by TR30.3 in TIA/EIA-1992 TSB37 Network Model is a portrait of the real network Statistically based Network Model -- Likelihood of Occurrence (LOO) of a given connection Modem performance evaluated using a Impairment Combinations and Local Loop Combinations Curve showing Percentage of Network Model Vs Throughput Estimates percentage of network of the real network over which the modem can be expected to operate Compare performance of different models or manufactures of modems Network Model is independent of modem technology

5 Network Model for Evaluating Multimedia Transmission Performance -- PN-3-0062

6 Converged Network Reference Model Diagram
TIA-793 Network Model TIA-793 Network Model A D L L D A TE Telco Switch Gateway Gateway Telco Switch TE IP Network R,G,S* L L Gateway R,G,S* R,G,S* Gateway

7 Test Scenario: PSTN to PSTN connections through a managed IP network

8 Test Scenario: PSTN – IP connections

9 Test Scenario: IP – IP connections

10 Examples of Communication Equipment that can be tested over the Converged Network Model
IP Network Devices such as User Agents, Call Agents, Media Servers, Media Gateway Controllers, Gatekeepers, Application Servers, Edge Routers, Gateways, IP Phones, IAF (Internet Aware Fax) Plain Old Telephone Service (POTS) and IP telephones Voice-over-IP (VoIP) gateways T.38 facsimile devices and gateways V and voiceband data (VBD) modem-over-IP gateways TIA-1001 (and V.toip) textphone-over-IP gateways PSTN Video H320 and H324

11 Test Voice, Fax or Data over IP using Converged Network Model
Simulator Analog PSTN Simulator 2 Analog PSTN Simulator 1 Voice, Video, Data, Fax, etc. Gateway Gateway Voice, Video, Data, Fax, etc.

12 Test IP Network Devices using IP Network Model
Simulator IP Network Devices IP Network Devices

13 Example of Test Profile with Fixed Values of Network Impairments
Impairment Type Units Range Jitter ms +/- 75 One Way Latency 50 to 150 Sequential Packet Loss #sequential packets losses 0 to 3 Rate of Sequential Loss sec-1 < 10-3* Random Packet Loss % 0 to 2 Out of Sequence Packets 0 to 10-1** Network Impairments Conditions could be based on set of impairment combination that have fixed values Stress IP Network Device Impairments on a real IP Network are not fixed

14 Parameters that Need to be Considered when Simulating an IP Network
Network Architecture Types of Access Links QoS controlled Edge Routing Route Flapping Link Failure Load Sharing Time Drift MTU Size Packet Loss Background Traffic (Congestion, Bandwidth, Utilization, Network Load) One Way Delay

15 Example of Test Profile with Time Variable Network Impairments
Packet Delay Time

16 Time Varying Statistically Based IP Network Impairment Condition (IC)
LOO X% IC2 LOO X% IC100 LOO X% Each Impairment Condition is assigned a Likely-hood of Occurrence (LOO) based on real IP Network Statistics, Network Architecture, Classes of Service The goal is to have approximately 100 test combinations so that an automated run of the test suite completes in less than a day.

17 Test Profiles Based on QoS Classes
(Y.1541) Applications (Examples) Node Mechanisms Network Techniques A (VoIP, MoIP, FoIP, ToIP) Real-Time, loss sensitive, Jitter sensitive, high interaction (VoIP, VTC) Strict QoS. Guaranteed no over subscription on links. Constrained Routing and Distance B 1 Real-Time, Jitter sensitive, interactive (VoIP, VTC). Separate Queue with preferential servicing, Traffic grooming Less constrained Routing and Distances C (FoIP only) 2 Transaction Data, Highly Interactive (Signaling) Separate Queue, Drop priority 3 Transaction Data, Interactive 4 Low Loss Only (Short Transactions, Bulk Data, Video Streaming) Long Queue, Drop priority Any route/path 5 Traditional Applications of Default IP Networks Separate Queue (lowest priority) Statistically based models can be created for different QoS Classes

18 Example of Network Model Coverage (NMC) Curve
Parameter X Vs Network Model Coverage Percentage Device A Device B Device C QoS, PESQ, PSQM, MOS, Throughput, Connect Rate, etc. 10 20 30 40 50 60 70 80 90 100 Percentage of Network Coverage

19 Value of Converged Network Model
Predicts product performance under statistically base network conditions Finds design weaknesses Find compatibility issues between network equipment Facilitates isolating and resolving field problems Assists in evaluating different technologies

20 Target Audience for Converged Network Model
Operating Companies Service Providers Manufacturers Design Engineers Test houses Magazines and product reviewers

21 Discussion Comments, Suggestions and Recommendations
Input for Network Model IP Network Statistics Network Architecture Test Scenarios Invited to participate in TR30.3


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