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Update on the IPPM WG Working Item: Multimetric ID 68 th IETF meeting Prague, Czech Republic, 18-23 March 2007.

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Presentation on theme: "Update on the IPPM WG Working Item: Multimetric ID 68 th IETF meeting Prague, Czech Republic, 18-23 March 2007."— Presentation transcript:

1 Update on the IPPM WG Working Item: Multimetric ID 68 th IETF meeting Prague, Czech Republic, 18-23 March 2007

2 Update Overview Modifications based on Joseph Kopena Overall spell and grammar check New sections have been added –Section 6: One-to-Group Sample Statistics –Section 7: Measurement Methods: Scalability and Reporting The previous section 5.4 is merged into the new Section 6 The previous section 7 is moved to section 3.2. Completion of section 11 IANA Considerations

3 One-to-Group Sample Statistics To present and report the group performance and relative performance – Save the report transmission bandwidth Based on the one-way statistics –Two dimensions: the space dimension and the time dimension –1-level and 2-level statistic

4 2 dimensions: the Matrix Space ^ 1| / R1dT1 R1dT2 R1dT3... R3dTm \ | | | 2| | R2dT1 R2dT2 R2dT3... R3dTm | | | | 3| | R3dT1 R3dT2 R3dT3... R3dTm |. | | | n| \ RndT1 RndT2 RndT3... RndTm / +--------------------------------------------> time T0 Matrix M (n*m) m columns: Vectors N rows: Samples

5 the Impact of packet loss on statistics Easy to handle for one-way metrics Strong impact to multipoint measurement because of the complexity of building a Matrix –different packet loss pattern on each point of interest

6 Statistic Metrics General Metric Parameters One-to-Group one-way Delay Statistics –Sample Mean Statistic –One-to-Group Mean Delay Statistic –One-to-Group Range of Mean Delays –One-to-Group Maximum of Mean Delays –One-to-Group one-way Loss Statistics One-to-Group one-way Loss Statistics –One-to-Group Loss Ratio –One-to-Group Loss Ratio Range –Comparative Loss Ratio One-to-Group one-way Delay Variation Statistics (TBP)

7 Measurement Methods: Scalability and Reporting Scalability issue: –thousands of points of interest in a group who are trying to send back the measurement results to the reference point for further processing and analysis. Reporting methods: –centralized statistic calculation –distributed statistic calculation Effect of time and space aggregation order on reporting methods


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