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Update on the IPPM WG Working Item: Multimetric ID. 68 th IETF meeting Prague, Czech Republic, 18-23 March 2007. Update Overview. Modifications based on Joseph Kopena Overall spell and grammar check New sections have been added Section 6: One-to-Group Sample Statistics
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Update on the IPPM WG Working Item: Multimetric ID 68th IETF meeting Prague, Czech Republic, 18-23 March 2007
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
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
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
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
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)
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