1. Controlling High- Bandwidth Flows at the Congested Router Ratul Mahajan, Sally Floyd, David Wetherall AT&T Center for Internet Research at ICSI (ACIRI) and AT&T Labs Research Presented by Yan Gao

2. Oscillation Paper used below method to reduce oscillation  The reduction in the dropping probability is bounded by a max_decrease in one step; The oscillation can also be caused by reaction delay and imprecision of using a flow’s packet drop history as an estimate of its arrival rate.  Changes to the dropping probability are not make until a certain time period. How to set this certain time period? The paper did not explore the potential for oscillations in the average queue size, in particular for scenarios with large propagation delays and long-lived traffic.  In practical, the average queue size varies significantly.

3. Mechanism It can be only applied for non-burst packet drop behavior.  How about burst packet drop case? Detecting unresponsive flows is tricky in variable demand environments

4. Mechanism Since fast memory is not required for storing the drop history, does it affect the speed of online operation? This paper didn’t show the precise state requirements and fairness tradeoffs under various traffic scenarios. RED-PD’s test for unresponsiveness can have false positives and false negatives.  What are the results of their evaluation?

5. Parameter setting Changes in the network might expose the importance of different parameters.  The parameters have proved important in the past, so it should provide observations of their values on the Internet, and describe expected effects of other values. How could they set these parameters? Do they have some recommendation for different network? (such as K, M)

6. Evaluation The authors only did some very small level simulation by NS-2 (10Mbps), how about the behavior on large scale network (such as 10Gbps) ???  The paper did not investigate performance for a range of link bandwidths for the congested link. Whether the approach will reduce totally bandwidth waste is still unknown.  Bandwidth is wasted by delivering packets through the network that are dropped before reaching their ultimate destination;  There is no good way for responding to unresponsive flows.