@conference {
	title = {Generalized TCP Congestion Avoidance and Its Effect on Bandwidth Sharing and Variability},
	author = {Misra, Archan., Baras, John S., Ott, Teunis.},
	year = {2000},
	month = {11/2000},
	abstract = {To model possible suggested changes in TCP window adaptation in response to randomized feedback, such as ECN, we formulate a generalized verslon of the TCP congestion avoidance algorithm. We first consider multiple such generalized TCP flows sharing a bottleneck buffer under the Assured Service model and use a fixed point technique to obtain the mean window sizes and throughputs for the TCP flows. To further study how changes in the adaptation algorithm affect the variability in the throughput, we use an analytical-cum-numerical technique to derive the window distribution (and related statistics) of a single generalized flow under state-dependent randomized congestion feedback.},
	address = {San Francisco, California},
	booktitle = {IEEE Global Telecommunications Conference (GLOBECOM), Communications: The Global Bridge},
	pages = {pp. 329-337.}
}
@conference {
	title = {Using Drop{\textendash}Biasing to stabilize the Occupancy of Random-Drop Queues with TCP Traffic},
	author = {Misra, Archan., Ott, Teunis., Baras, John S.},
	year = {2000},
	month = {11/2000},
	abstract = {The paper describes how the use of {\textquoteleft}drop-biasing{\textquoteright}, a technique to control the distribution of the gap between consecutive packet losses in random drop queues (such as RED) can be used to reduce the variability of the queue occupancy with TCP traffic. Reducing the variance of the queue occupancy reduces delay jitter for buffered packets, as well as decreases the likelihood of buffer underflow. We find that modifying the packet drop probabilities to ensure a minimum separation between consecutive packet drops serves to decrease the variability in the queue occupancy. This is really achieved as a result of the increased negative correlation among the congestion windows of the constituent TCP flows. Such negative correlation explains why the use of simple drop-biasing strategies can reduce the queue variability without increasing the likelihood of bursts of packet losses. The results of our investigations have relevance for the design and deployment of RED-like algorithms for congestion control in the Internet.},
	address = {Singapore},
	booktitle = {IEEE International Conference on Communications Systems(ICCS)},
	pages = {pp. 1-9}
}
