@comment{ Adapted from biblatex-example.bib Formatted with pandoc and chicago-author-date.csl, 2013-10-23: (Padhye, Firoiu, and Towsley 1999) Padhye, Jitendra, Victor Firoiu, and Don Towsley. 1999. “A Stochastic Model of TCP Reno Congestion Avoidance and Control.” Technical report 99-02. Amherst, Mass.: University of Massachusetts. Formatted with pandoc and apa.csl, 2013-10-23: (Padhye, Firoiu, & Towsley, 1999) Padhye, J., Firoiu, V., & Towsley, D. (1999). *A stochastic model of TCP Reno congestion avoidance and control* (technical report No. 99-02). Amherst, Mass.: University of Massachusetts. } @Report{padhye, author = {Padhye, Jitendra and Firoiu, Victor and Towsley, Don}, title = {A Stochastic Model of {TCP Reno} Congestion Avoidance and Control}, type = {techreport}, institution = {University of Massachusetts}, date = 1999, number = {99-02}, location = {Amherst, Mass.}, hyphenation = {american}, sorttitle = {A Stochastic Model of TCP Reno Congestion Avoidance and Control}, indextitle = {Stochastic Model of {TCP Reno} Congestion Avoidance and Control, A}, annotation = {This is a report entry for a technical report. Note the format of the type field in the database file which uses a localization key. The number of the report is given in the number field. Also note the sorttitle and indextitle fields}, abstract = {The steady state performance of a bulk transfer TCP flow (i.e. a flow with a large amount of data to send, such as FTP transfers) may be characterized by three quantities. The first is the send rate, which is the amount of data sent by the sender in unit time. The second is the throughput, which is the amount of data received by the receiver in unit time. Note that the throughput will always be less than or equal to the send rate due to losses. Finally, the number of non-duplicate packets received by the receiver in unit time gives us the goodput of the connection. The goodput is always less than or equal to the throughput, since the receiver may receive two copies of the same packet due to retransmissions by the sender. In a previous paper, we presented a simple model for predicting the steady state send rate of a bulk transfer TCP flow as a function of loss rate and round trip time. In this paper, we extend that work in two ways. First, we analyze the performance of bulk transfer TCP flows using more precise, stochastic analysis. Second, we build upon the previous analysis to provide both an approximate formula as well as a more accurate stochastic model for the steady state throughput of a bulk transfer TCP flow.}, file = {ftp://gaia.cs.umass.edu/pub/Padhey99-markov.ps}, } --- references: - annote: This is a report entry for a technical report. Note the format of the type field in the database file which uses a localization key. The number of the report is given in the number field. Also note the sorttitle and indextitle fields genre: technical report title: A stochastic model of TCP Reno congestion avoidance and control id: padhye issued: date-parts: - - 1999 author: - given: Jitendra family: Padhye - given: Victor family: Firoiu - given: Don family: Towsley publisher: University of Massachusetts number: 99-02 type: report publisher-place: Amherst, Mass. abstract: The steady state performance of a bulk transfer TCP flow (i.e. a flow with a large amount of data to send, such as FTP transfers) may be characterized by three quantities. The first is the send rate, which is the amount of data sent by the sender in unit time. The second is the throughput, which is the amount of data received by the receiver in unit time. Note that the throughput will always be less than or equal to the send rate due to losses. Finally, the number of non-duplicate packets received by the receiver in unit time gives us the goodput of the connection. The goodput is always less than or equal to the throughput, since the receiver may receive two copies of the same packet due to retransmissions by the sender. In a previous paper, we presented a simple model for predicting the steady state send rate of a bulk transfer TCP flow as a function of loss rate and round trip time. In this paper, we extend that work in two ways. First, we analyze the performance of bulk transfer TCP flows using more precise, stochastic analysis. Second, we build upon the previous analysis to provide both an approximate formula as well as a more accurate stochastic model for the steady state throughput of a bulk transfer TCP flow. language: en-US ...