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Evaluating the Potential of Bandwidth Estimators Xiliang Liu, Kaliappa Ravindran, and Dmitri Loguinov.

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Presentation on theme: "Evaluating the Potential of Bandwidth Estimators Xiliang Liu, Kaliappa Ravindran, and Dmitri Loguinov."— Presentation transcript:

1 Evaluating the Potential of Bandwidth Estimators Xiliang Liu, Kaliappa Ravindran, and Dmitri Loguinov

2 Overview Background Bandwidth Estimators Evaluation Procedures Preliminary Results Conclusions

3 Network Model in Bandwidth Estimation RCV SND CT C1 CT C2 CT C3 SND RCV C1 C2 C3 A1 A3 A2 Bottleneck Link

4 Existing Techniques Design justification –Use single-hop path with constant rate fluid CT to identify measurement rationale Performance evaluation –Compare to Router MRTG report ri ro A

5 Problems A lot of factors can affect the measurement accuracy –Practical issues –Algorithmic problems Current performance evaluation is monolithic –Can not identify the source of measurement errors –Less reproducible and even can be conflicting

6 Bandwidth Estimators and performance metric Avail-bw inference algorithm –Input: the probing input and output –Output: Avail-bw estimation result Performance metrics –Single-hop potential –Multi-hop robustness C BW Estimator Input CT Output CT Arriving probing construction Departing Probing construction

7 Measurement targets of Bandwidth Estimators Input construction 10mb/s Bandwidth Estimator Output construction Input Poisson cross-traffic Output cross-traffic

8 Classification of Bandwidth Estimators Non-iterative estimators –Fixed probing input –Every probing produces an estimation –Delphi, Spruce, Pathchirp Iterative estimators –Adapt probing input to find the construction that bring out AW. –Pathload, IGI/PTR, TOPP

9 Trace-driven testing... Input Probing Construction Compute Output Probing Construction BW Estimator Hop Capacity Cross-traffic trace ?

10 Why not just do NS2 simulation. Need much longer trace and time Inter Probing pattern introduces ASTA bias

11 Results: Cross-traffic trace

12 Results for Spruce Estimator

13 Results for PTR Estimator

14 Results for IGI Estimator

15 Results for TOPP Estimator

16 Conclusion and Future Work Our testing procedure –Quickly and easily evaluate one performance aspect of BW estimators –Provide guidance to choose better tunable parameters. Ongoing work –Evaluating pathload and pathChirp –Understanding the phenomenon observed

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