Documents. Configuration. Important Dependent Parameters (Approximate) Version 2.3 (Wed, Dec 1, 2010, 1225 hours)

Size: px
Start display at page:

Download "Documents. Configuration. Important Dependent Parameters (Approximate) Version 2.3 (Wed, Dec 1, 2010, 1225 hours)"

Transcription

1 1 of 7 12/2/ :31 AM Version 2.3 (Wed, Dec 1, 2010, 1225 hours) Notation And Abbreviations preliminaries TCP Experiment 2 TCP Experiment 1 Remarks How To Design A TCP Experiment KB (KiloBytes = 1,000 bytes)... Note: this is non-standard since normally K means 1,024 when referring to size Kb (Kilobits = 1,000 bits) Kbps (Kilobits per second = 1,000 bits per second) Kpps (Kilopackets per second = 1,000 packets per second MB, Mb, Mbps where M stands for Mega (1,000,000) msec (millisecond = sec) pkts (packets) cwnd (TCP's congestion window size) ~= (approximately equal to) Documents Lab 3 Lab 3 Experiment File Raphael's Lab 3 Notes Configuration Mbps n1p2 ----> > > n2p2 q q64 thresh = 10 MB Important Dependent Parameters (Approximate) Some of these parameters are used in doing a back-of-the-envelope prediction of how the TCP flow will

2 2 of 7 12/2/ :31 AM behave. Assume Packet length ~= 1500 bytes = 1.5 KB TCP New Reno with SACK Auto send buffer tuning is turned off because iperf -w calls setsocketopt(sndbuf) which turns off auto send buffer tuning Bottleneck Rate = 1 Kpps = 12 Mbps = 12 Mbps / (12 Kb/pkt) = 1 Kpps since each pkt is 1.5 KB or 12,000 bits. Bottleneck Transmission Delay = 1 msec = length/(transmission rate) = 1 pkt / (1 Kpps) = 1 msec Propagation Delay ~= 0 msec Since there is no delay plugin along the pkt path, there is negligible propagation delay. Maximum Queue Length = 20/3 Kpkts = 10 MB = 10 MB / (1.5 KB/pkt) = 20/3 Kpkts Maximum Queueing Delay = 20/3 sec = max queue length / transmission rate = ( 20/3 Kpts ) / 1 Kpps = 20/3 sec This is also the time it would take to completely drain a full queue at the end of the flow. 20-sec Transmission Volume = 30 MB The iperf transmission period is 20 sec. If the bottleneck is continuously backlogged for 20 sec and the sender transmits 1 packet for each ACK, it will transmit: = 1 Kpps x 20 sec = 20 K pkts = 20 K pkts x (1.5 KB/pkt) = 30 MB During the 20-sec iperf transmission period, it may transmit at a higher rate than the bottleck until it detects a packet drop. Back-Of-The-Envelope Calculations Assume normal TCP behavior which means it goes through the following phases: slow-start with cwnd doubling every RTT ending in pkt drops cwnd' = cwnd/2 (congestion window halved)

3 3 of 7 12/2/ :31 AM congestion avoidance with fast-retransmit-fast-recovery Round X Slow-Start Duration = 2^X msec Slow-start goes through N rounds sending 2^X pkts in round X where X starts at 0. The last pkt in round X must wait for the 2^X pkts in front of it at the bottleneck queue and then spend 1 msec in transmission. Since the bottleneck transmission delay is 1 msec, the last pkt in round X spends 2^X msec at the bottleneck. The 2-way propagation delay is 0 msec. Note that the sender is sending packets in round X while the bottleneck is transmitting packets from round X-1. Round X Sender Transmission Rate = 2 Kpps = (Number of pkts transmitted) / (Round X-1 duration) = 2^X / (2^(X-1) msec) = 2 Kpps This is expected during slow-start since cwnd is incremented for each ACK allowing the sender to send out 2 packets for each ACK it receives; i.e., ACKs arrive to the sender at a rate of 1 Kpps, the transmission rate of the bottleneck. Since the sender sends out 2 packets for each ACK it receives during slow-start, its sending rate will be 2 Kpps. Queueing Rate = 1 Kpps = (Input Rate) - (Bottleneck Rate) = 2 Kpps - 1 Kpps = 1 Kpps Maximum Slow-Start Duration For 10 MB Queue ~= 6.7 sec The sender is continuously sending during slow-start because there is no propagation delay. So, the duration of the slow-start period is: = Kpkts / (1 Kpps) = 6.7 sec Backlogged Packet Drop Rate = 0.5 As soon as the queue is full, every other arriving packet will be dropped since the sender is sending at 2 Kpps and the bottleneck is draining at only 1 Kpps. ACK Rate = 0.38, 0.45, or 0.51 Mbps The ACK packet rate during slow-start is the same as the bottleneck packet rate; i.e., 1 Kpps. The minimum ACK packet has a timestamp in the TCP options portion. If there are SACK blocks then add 8 bytes for each SACK block. Since typically there is a timestamp and n SACK blocks, the ACK packet length is (48+8n) bytes where n is 0, 1 or 2: 20 bytes of IP header, 20 bytes of TCP header, and 8+8n bytes of TCP options. So, the ACK rate in Mbps will be:

4 4 of 7 12/2/ :31 AM = ( (SACK pkt len)/(data pkt len) ) (Bottleneck transmission rate) = ((48+8n)/1500) 12 Mbps, n = 0, 1, 2 = 0.64 Mbps = 0.38 Mbps, 0.45 Mbps, or 0.51 Mbps for n = 0, 1, 2 respectively. We cover Experiment 2 first since the size of the sender's send buffer (10 MB = 20/3 Kpkts) allows slow-start to continue to double cwnd until the first packet drop. The figures show most of the expected behavior: Bandwidth RXBYTE 1.2 has 3 regions (2 sec): Part 1 of slow-start in which the sender sends at 24 Mbps (= 2 Kpps) as expected (4 sec): Part 2 of slow-start ending with packet drops in which the sender sends at 18 Mbps (= 1.5 Kpps). The sender slows down during this period since the ACKs come back at half the rate that it initially did. Warning: It's not clear why the ACK rate decreases during this period (19 sec): Congestion avoidance (4 sec): Bottleneck queue drains with no arrivals RXBYTE 2.1 is a constant 12 Mbps (the bottleneck rate), and lasts 4 sec longer than the transmission rate curve. The 4 sec is expected since the queue length is 6.5 MB (see Queue Length below) or about 4.3 Kpkts; since the drain rate is 1 Kpps, it should take about 4.3 sec to drain the last part of the queue. The RXBYTE 2.1 chart shows 12 Mbps and lasts for 4 sec longer than the RXBYTE 1.2 chart. The bottleneck queue is draining with no arrivals during this period. A 6.5 MB (= 13/3 Kpkts) queue should drain in 13/3 sec since the drain rate is 1 Kpps. ACK Rate The rate is about 0.4 Mbps for the first two seconds. It appears that there is one SACK block in the TCP options field. The rate is about 0.2 Mbps for the remainder of the flow. I'm not sure what is causing this throttling. This may be due to the receiver sending 1 ACK for every other packet received. But this wouldn't explain why the sending rate backs off from 24 Mbps to 18 Mbps for 4 sec. So, there might be some resource depletion at the receiver or sender. For example, if the receiver process gets interrupted (even momentarily), its receive buffers will fill up and it will signal to the sender that it has no room to accept new packets. Warning: The only way to tell if this is the case is to run tcpdump to get a packet trace. Queue Length There are 4 regions (approximate durations): (2 sec): Part 1 of slow-start (4 sec): Part 2 of slow-start

5 5 of 7 12/2/ :31 AM The decrease in slope is due to the decreased input rate of 18 Mbps (= 1.5 Kpps) from 24 Mbps (= 2 Kpps) (19 sec):??? Congestion avoidance??? This region is probably not congestion avoidance since it is unlikely that there were packet drops at the router... the input rate drops to 18 Mbps (from 24 Mbps) and then to 12 Mbps (the bottleneck rate) about 6 sec from the start of the flow -- too soon. Since the monitoring period is 0.25 sec and the bottleneck drain rate is 12 Mbps (= 1 Kpps), there is enough accuracy in the queue length chart to detect a 10 MB queue (4 sec): Bottleneck queue drains at 1 Kpps (= 12 Mbps = 1.5 MBps) with no arrivals. Maximum queue length = 6.5 MB ~= 4.3 Kpkts The queue length never reaches its maximum of 10 MB (= Kpkts). This appears to be strange but note that if there are 4.3 Kpkts in the bottleneck queue and one-half of the packets have been dropped, the sender thinks that there are 8.6 Kpkts or 12.9 MB in-flight. Since the user requested a send buffer of 10 MB (= Kpkts) but Linux gave him/her 20 MB (= Kpkts), the send buffer usage has crossed past the 10 MB boundary. The only difference between this experiment and Experiment 2 is that the sender's buffer is limited to about 3 MB (= 2 Kpkts) and therefore cwnd will be limited to 2 Kpkts. This means that you can't have more than 2 Kpkts in flight that are new packets. (Actually, the sender is given 6 MB when you use "-w 3m" but some of those buffers are used for things other than unacknowledged data packets. So, the sender will be able to have cwnd between 2 Kpkts and 4 Kpkts.) We do see that the "Queue Length" chart shows a queue length of between 3 MB and 4.5 MB. The "ACK Rate" chart is the same as in Experiment 2. The perplexing chart is the "Bandwidth" chart. The first two seconds of the flow shows 24 Mbps which is expected. But the 24 Mbps only lasts for 2 sec, not the 6.7 sec we computed earlier for the "-w 10m" case. But then, the rate appears to oscillate with periodic spikes that peak around 51 Mbps, 44 Mbps, 38 Mbps, 31 Mbps, 20 Mbps, and 7 Mbps. Let's see what should happen 2 sec after the flow has started. 2 sec after the flow begins, the number of packets queued should be: = 2 sec (1 Kpps) = 2 Kpkts = 2 Kpkts (1.5 KB/pkt) = 3 MB If the send buffer is 3 MB, it will be exhausted 2 sec after the start of the flow. When this occurs, cwnd can not be incremented for each incoming ACK. Instead, it will remain constant, and only 1 packet will be transmitted for each ACK received, not 2 packets per ACK as in Experiment 2. We would expect that the "RXBYTE 1.2" chart should now be 12 Mbps. But instead it shows packet bursts alternating with small idle periods.

6 6 of 7 12/2/ :31 AM I suspect that when the send buffer space is depleted, the send() call will be blocked and a context switch to the scheduler will occur, causing some idle period. When the sender gets the CPU again, ACKs have freed some buffer space and the sender bursts out packets until the buffer space is depeleted again. This is not good behavior. The only way to see that this is really happening is to run tcpdump and observe time gaps in the packet trace. The poor configuration from a TCP standpoint of the two TCP exercises hides the most important features of TCP: slow-start and congestion avoidance. In both cases, either: 1) the -w value is too small or equivalently, 2) the bottleneck queue capacity (threshold) is too big. Personally, I think the bottleneck queue capacity (threshold) is too big. Most people (even networking instructors) who don't deal with TCP at a detailed level don't really have a good understanding of basic TCP behavior. Textbooks really cover (at a cursory level) the case of many, well-behaved, well-configured TCP flows converging onto a bottleneck link. But more often than not, packet drops will occur in bursts and/or there will be resource constraints; i.e., the exception cases. A TCP flow does not behave well in the face of a large packet drop fraction when the RTT is large because it normally depends on the fast retransmit, fast recovery algorithm which retransmits one packet per RTT. (Note: The drop rate is 1/2 because of slow-start and no propagation delay.) SACK improves the recovery, but the limited size of the TCP options field Where the SACK info is stored prevents fast recovery! But even though your two TCP experiments probably don't experience packet drops for the reasons stated above, the configurations cause other problems that hide the core, standard TCP behavior. The 10 MB bottleneck queue at port 1.4 aggravates TCP because the queueing delay is 6.7 sec for a full queue that drains at 12 Mbps. This leads to an RTT of 6.7 sec which is really excessive. Using such a large queue for a single TCP flow is really crazy and will lead to bizarre TCP behavior which can only be explained by looking at a detailed packet trace. It would help to monitor the number of packet drops at the bottleneck to get a better understanding of what is happening. See the TCP Example in the NPR Tutorial for how to do that. Tcpdump is a nice tool, but not necessary if the experiment is properly configured. If you really want to understand the minute details, running tcptrace on a tcpdump file in conjunction with the visualization tool xplot will give you a rich description of what is going on at the packet level. But they're more suitable for a graduate course in networking. However, a lecture that uses the output of these tools would be instructive. The lab assignment doesn't use the delay plugin to emulate propagation delay. This is acceptable for a first simple lab in TCP, but introducing a delay would make it more realistic. Also to be realistic, you would want to use a few TCP flows. But if the configuration is properly chosen, many TCP features can still be shown using only one flow. But a goal of realistic flows is not really necessary to have an experiment in which students can gain some understanding of important TCP features. Your use of the phrase "TCP window size" when refering to the -w iperf flag is incorrect and misleading (Yes, iperf uses the terminology.). What window are you referring to? It can't be cwnd, the congestion window size, because that depends on various algorithms (slow-start, congestion avoidance, fast recovery). Although iperf calls the -w flag the window size, it really controls the size of the send buffer which really puts a limit on the number of packets in-flight and also limits the maximum value of cwnd.

7 7 of 7 12/2/ :31 AM In designing any assignment, you should work backwards: Write down the important concepts you want the students to understand. Find a configuration(s) that can be used to illustrate these concepts. Determine the student activity that will exercise these ideas. Do back-of-the-envelope calculations of key parameters to verify that your experiment will perform as expected. Do the assignment to see how well it meets the desired goals. Repeat the above steps until you have a good assignment. I consider the following concepts to be the most important TCP comcepts: Slow-start algorithm Congestion detection Congestion avoidance algorithm Fast retransmit, fast recovery algorithm Self-clocking nature of TCP Bandwidth-delay product and high-performance Fair-sharing among multiple flows That's a lot of concepts. So, a first lab needs to focus on a few of the most important ones. The other issue that needs to be considered is that ONL monitoring tools have a coarse granularity of 0.25 sec or 1 sec. So, parameters must be chosen so that you can see a non-zero queue length over a few seconds. For example, you could set the bottleneck queue to 30 KB (= 20 pkts) to get quick congestion detection (via packet drops), but ONL will not show the build up of a queue unless the bottleneck rate is quite low. Suppose that we want a bottleneck rate of 12 Mbps (= 1 Kpps). If you are monitoring with a period of 0.25 sec, you want to see a non-zero queue length for atleast 0.5 sec. So, you will want the bottleneck queue to be sized such that: Queue Size >= 0.5 sec (1.5 Kpps) = 750 pkts >= 750 pkts (1.5 KB/pkt) = MB The queueing delay for this queue is 0.5 sec = 500 msec. The sender's buffer should be large enough to accommodate the maximum bandwidth-delay product (BDP) of 375 pkts = MB. To be safe, choose a send buffer of atleast 2.25 MB to allow for packets during fast recovery. This will allow the fast recovery algorithm to inflate cwnd so that new packets can be injected into the network even though the sender thinks there are already a BDP worth of packets in-flight.

Outline Computer Networking. TCP slow start. TCP modeling. TCP details AIMD. Congestion Avoidance. Lecture 18 TCP Performance Peter Steenkiste

Outline Computer Networking. TCP slow start. TCP modeling. TCP details AIMD. Congestion Avoidance. Lecture 18 TCP Performance Peter Steenkiste Outline 15-441 Computer Networking Lecture 18 TCP Performance Peter Steenkiste Fall 2010 www.cs.cmu.edu/~prs/15-441-f10 TCP congestion avoidance TCP slow start TCP modeling TCP details 2 AIMD Distributed,

More information

Congestion control in TCP

Congestion control in TCP Congestion control in TCP If the transport entities on many machines send too many packets into the network too quickly, the network will become congested, with performance degraded as packets are delayed

More information

ADVANCED COMPUTER NETWORKS

ADVANCED COMPUTER NETWORKS ADVANCED COMPUTER NETWORKS Congestion Control and Avoidance 1 Lecture-6 Instructor : Mazhar Hussain CONGESTION CONTROL When one part of the subnet (e.g. one or more routers in an area) becomes overloaded,

More information

TCP Performance. EE 122: Intro to Communication Networks. Fall 2006 (MW 4-5:30 in Donner 155) Vern Paxson TAs: Dilip Antony Joseph and Sukun Kim

TCP Performance. EE 122: Intro to Communication Networks. Fall 2006 (MW 4-5:30 in Donner 155) Vern Paxson TAs: Dilip Antony Joseph and Sukun Kim TCP Performance EE 122: Intro to Communication Networks Fall 2006 (MW 4-5:30 in Donner 155) Vern Paxson TAs: Dilip Antony Joseph and Sukun Kim http://inst.eecs.berkeley.edu/~ee122/ Materials with thanks

More information

Overview. TCP congestion control Computer Networking. TCP modern loss recovery. TCP modeling. TCP Congestion Control AIMD

Overview. TCP congestion control Computer Networking. TCP modern loss recovery. TCP modeling. TCP Congestion Control AIMD Overview 15-441 Computer Networking Lecture 9 More TCP & Congestion Control TCP congestion control TCP modern loss recovery TCP modeling Lecture 9: 09-25-2002 2 TCP Congestion Control Changes to TCP motivated

More information

Topics. TCP sliding window protocol TCP PUSH flag TCP slow start Bulk data throughput

Topics. TCP sliding window protocol TCP PUSH flag TCP slow start Bulk data throughput Topics TCP sliding window protocol TCP PUSH flag TCP slow start Bulk data throughput 2 Introduction In this chapter we will discuss TCP s form of flow control called a sliding window protocol It allows

More information

Answers to Sample Questions on Transport Layer

Answers to Sample Questions on Transport Layer Answers to Sample Questions on Transport Layer 1) Which protocol Go-Back-N or Selective-Repeat - makes more efficient use of network bandwidth? Why? Answer: Selective repeat makes more efficient use of

More information

Lecture 15: TCP over wireless networks. Mythili Vutukuru CS 653 Spring 2014 March 13, Thursday

Lecture 15: TCP over wireless networks. Mythili Vutukuru CS 653 Spring 2014 March 13, Thursday Lecture 15: TCP over wireless networks Mythili Vutukuru CS 653 Spring 2014 March 13, Thursday TCP - recap Transport layer TCP is the dominant protocol TCP provides in-order reliable byte stream abstraction

More information

EE122 MIDTERM EXAM: Scott Shenker, Ion Stoica

EE122 MIDTERM EXAM: Scott Shenker, Ion Stoica EE MITERM EXM: 00-0- Scott Shenker, Ion Stoica Last name Student I First name Login: ee- Please circle the last two letters of your login. a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e

More information

Chapter 3 Review Questions

Chapter 3 Review Questions Chapter 3 Review Questions. 2. 3. Source port number 6 and destination port number 37. 4. TCP s congestion control can throttle an application s sending rate at times of congestion. Designers of applications

More information

Congestion Control In The Internet Part 2: How it is implemented in TCP. JY Le Boudec 2014

Congestion Control In The Internet Part 2: How it is implemented in TCP. JY Le Boudec 2014 1 Congestion Control In The Internet Part 2: How it is implemented in TCP JY Le Boudec 2014 Contents 1. Congestion control in TCP 2. The fairness of TCP 3. The loss throughput formula 4. Explicit Congestion

More information

Assignment 7: TCP and Congestion Control Due the week of October 29/30, 2015

Assignment 7: TCP and Congestion Control Due the week of October 29/30, 2015 Assignment 7: TCP and Congestion Control Due the week of October 29/30, 2015 I d like to complete our exploration of TCP by taking a close look at the topic of congestion control in TCP. To prepare for

More information

TCP Congestion Control

TCP Congestion Control TCP Congestion Control What is Congestion The number of packets transmitted on the network is greater than the capacity of the network Causes router buffers (finite size) to fill up packets start getting

More information

TCP Congestion Control

TCP Congestion Control What is Congestion TCP Congestion Control The number of packets transmitted on the network is greater than the capacity of the network Causes router buffers (finite size) to fill up packets start getting

More information

Fast Retransmit. Problem: coarsegrain. timeouts lead to idle periods Fast retransmit: use duplicate ACKs to trigger retransmission

Fast Retransmit. Problem: coarsegrain. timeouts lead to idle periods Fast retransmit: use duplicate ACKs to trigger retransmission Fast Retransmit Problem: coarsegrain TCP timeouts lead to idle periods Fast retransmit: use duplicate ACKs to trigger retransmission Packet 1 Packet 2 Packet 3 Packet 4 Packet 5 Packet 6 Sender Receiver

More information

TCP Enhancements in Linux. Pasi Sarolahti. Berkeley Summer School Outline

TCP Enhancements in Linux. Pasi Sarolahti. Berkeley Summer School Outline TCP Enhancements in Linux Pasi Sarolahti Berkeley Summer School 6.6.2002 Outline TCP details per IETF RFC s Pitfalls in the specifications Linux TCP congestion control engine Features Discussion on performance

More information

image 3.8 KB Figure 1.6: Example Web Page

image 3.8 KB Figure 1.6: Example Web Page image. KB image 1 KB Figure 1.: Example Web Page and is buffered at a router, it must wait for all previously queued packets to be transmitted first. The longer the queue (i.e., the more packets in the

More information

TCP so far Computer Networking Outline. How Was TCP Able to Evolve

TCP so far Computer Networking Outline. How Was TCP Able to Evolve TCP so far 15-441 15-441 Computer Networking 15-641 Lecture 14: TCP Performance & Future Peter Steenkiste Fall 2016 www.cs.cmu.edu/~prs/15-441-f16 Reliable byte stream protocol Connection establishments

More information

ECEN Final Exam Fall Instructor: Srinivas Shakkottai

ECEN Final Exam Fall Instructor: Srinivas Shakkottai ECEN 424 - Final Exam Fall 2013 Instructor: Srinivas Shakkottai NAME: Problem maximum points your points Problem 1 10 Problem 2 10 Problem 3 20 Problem 4 20 Problem 5 20 Problem 6 20 total 100 1 2 Midterm

More information

TCP. CSU CS557, Spring 2018 Instructor: Lorenzo De Carli (Slides by Christos Papadopoulos, remixed by Lorenzo De Carli)

TCP. CSU CS557, Spring 2018 Instructor: Lorenzo De Carli (Slides by Christos Papadopoulos, remixed by Lorenzo De Carli) TCP CSU CS557, Spring 2018 Instructor: Lorenzo De Carli (Slides by Christos Papadopoulos, remixed by Lorenzo De Carli) 1 Sources Fall and Stevens, TCP/IP Illustrated Vol. 1, 2nd edition Congestion Avoidance

More information

Investigating the Use of Synchronized Clocks in TCP Congestion Control

Investigating the Use of Synchronized Clocks in TCP Congestion Control Investigating the Use of Synchronized Clocks in TCP Congestion Control Michele Weigle (UNC-CH) November 16-17, 2001 Univ. of Maryland Symposium The Problem TCP Reno congestion control reacts only to packet

More information

Transmission Control Protocol. ITS 413 Internet Technologies and Applications

Transmission Control Protocol. ITS 413 Internet Technologies and Applications Transmission Control Protocol ITS 413 Internet Technologies and Applications Contents Overview of TCP (Review) TCP and Congestion Control The Causes of Congestion Approaches to Congestion Control TCP Congestion

More information

Congestion Control In The Internet Part 2: How it is implemented in TCP. JY Le Boudec 2014

Congestion Control In The Internet Part 2: How it is implemented in TCP. JY Le Boudec 2014 1 Congestion Control In The Internet Part 2: How it is implemented in TCP JY Le Boudec 2014 Contents 1. Congestion control in TCP 2. The fairness of TCP 3. The loss throughput formula 4. Explicit Congestion

More information

Congestion. Can t sustain input rate > output rate Issues: - Avoid congestion - Control congestion - Prioritize who gets limited resources

Congestion. Can t sustain input rate > output rate Issues: - Avoid congestion - Control congestion - Prioritize who gets limited resources Congestion Source 1 Source 2 10-Mbps Ethernet 100-Mbps FDDI Router 1.5-Mbps T1 link Destination Can t sustain input rate > output rate Issues: - Avoid congestion - Control congestion - Prioritize who gets

More information

Overview. TCP & router queuing Computer Networking. TCP details. Workloads. TCP Performance. TCP Performance. Lecture 10 TCP & Routers

Overview. TCP & router queuing Computer Networking. TCP details. Workloads. TCP Performance. TCP Performance. Lecture 10 TCP & Routers Overview 15-441 Computer Networking TCP & router queuing Lecture 10 TCP & Routers TCP details Workloads Lecture 10: 09-30-2002 2 TCP Performance TCP Performance Can TCP saturate a link? Congestion control

More information

Linux Plumbers Conference TCP-NV Congestion Avoidance for Data Centers

Linux Plumbers Conference TCP-NV Congestion Avoidance for Data Centers Linux Plumbers Conference 2010 TCP-NV Congestion Avoidance for Data Centers Lawrence Brakmo Google TCP Congestion Control Algorithm for utilizing available bandwidth without too many losses No attempt

More information

c) With the selective repeat protocol, it is possible for the sender to receive an ACK for a packet that falls outside of its current window.

c) With the selective repeat protocol, it is possible for the sender to receive an ACK for a packet that falls outside of its current window. Part 1 Question 1 [0.5 Marks] Suppose an application generates chunks of 40 bytes of data every 20 msec, and each chunk gets encapsulated by a TCP segment and then an IP datagram. What percentage of each

More information

CS519: Computer Networks. Lecture 5, Part 4: Mar 29, 2004 Transport: TCP congestion control

CS519: Computer Networks. Lecture 5, Part 4: Mar 29, 2004 Transport: TCP congestion control : Computer Networks Lecture 5, Part 4: Mar 29, 2004 Transport: TCP congestion control TCP performance We ve seen how TCP the protocol works Sequencing, receive window, connection setup and teardown And

More information

Transport Layer PREPARED BY AHMED ABDEL-RAOUF

Transport Layer PREPARED BY AHMED ABDEL-RAOUF Transport Layer PREPARED BY AHMED ABDEL-RAOUF TCP Flow Control TCP Flow Control 32 bits source port # dest port # head len sequence number acknowledgement number not used U A P R S F checksum Receive window

More information

6.033 Computer System Engineering

6.033 Computer System Engineering MIT OpenCourseWare http://ocw.mit.edu 6.033 Computer System Engineering Spring 2009 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. 6.033 Lecture 13 Sam

More information

6.033 Spring 2015 Lecture #11: Transport Layer Congestion Control Hari Balakrishnan Scribed by Qian Long

6.033 Spring 2015 Lecture #11: Transport Layer Congestion Control Hari Balakrishnan Scribed by Qian Long 6.033 Spring 2015 Lecture #11: Transport Layer Congestion Control Hari Balakrishnan Scribed by Qian Long Please read Chapter 19 of the 6.02 book for background, especially on acknowledgments (ACKs), timers,

More information

Congestion Control In The Internet Part 2: How it is implemented in TCP. JY Le Boudec 2015

Congestion Control In The Internet Part 2: How it is implemented in TCP. JY Le Boudec 2015 1 Congestion Control In The Internet Part 2: How it is implemented in TCP JY Le Boudec 2015 Contents 1. Congestion control in TCP 2. The fairness of TCP 3. The loss throughput formula 4. Explicit Congestion

More information

TCP and BBR. Geoff Huston APNIC

TCP and BBR. Geoff Huston APNIC TCP and BBR Geoff Huston APNIC Computer Networking is all about moving data The way in which data movement is controlled is a key characteristic of the network architecture The Internet protocol passed

More information

Hybrid Control and Switched Systems. Lecture #17 Hybrid Systems Modeling of Communication Networks

Hybrid Control and Switched Systems. Lecture #17 Hybrid Systems Modeling of Communication Networks Hybrid Control and Switched Systems Lecture #17 Hybrid Systems Modeling of Communication Networks João P. Hespanha University of California at Santa Barbara Motivation Why model network traffic? to validate

More information

Exercises TCP/IP Networking With Solutions

Exercises TCP/IP Networking With Solutions Exercises TCP/IP Networking With Solutions Jean-Yves Le Boudec Fall 2009 3 Module 3: Congestion Control Exercise 3.2 1. Assume that a TCP sender, called S, does not implement fast retransmit, but does

More information

8. TCP Congestion Control

8. TCP Congestion Control 8. TCP Congestion Control 1 TCP Congestion Control Slow-start increase Multiplicative decrease Congestion avoidance Measurement of variation Exponential timer backoff 2002 Yanghee Choi 2 Congestion Control

More information

CSE 573S Protocols for Computer Networks (Spring 2005 Final Project)

CSE 573S Protocols for Computer Networks (Spring 2005 Final Project) CSE 573S Protocols for Computer Networks (Spring 2005 Final Project) To Investigate the degree of congestion control synchronization of window-based connections bottlenecked at the same link Kumar, Vikram

More information

TCP Congestion Control : Computer Networking. Introduction to TCP. Key Things You Should Know Already. Congestion Control RED

TCP Congestion Control : Computer Networking. Introduction to TCP. Key Things You Should Know Already. Congestion Control RED TCP Congestion Control 15-744: Computer Networking L-4 TCP Congestion Control RED Assigned Reading [FJ93] Random Early Detection Gateways for Congestion Avoidance [TFRC] Equation-Based Congestion Control

More information

Congestion Control In The Internet Part 2: How it is implemented in TCP. JY Le Boudec 2015

Congestion Control In The Internet Part 2: How it is implemented in TCP. JY Le Boudec 2015 Congestion Control In The Internet Part 2: How it is implemented in TCP JY Le Boudec 2015 1 Contents 1. Congestion control in TCP 2. The fairness of TCP 3. The loss throughput formula 4. Explicit Congestion

More information

Mitigating Egregious ACK Delays in Cellular Data Networks by Eliminating TCP ACK Clocking

Mitigating Egregious ACK Delays in Cellular Data Networks by Eliminating TCP ACK Clocking Mitigating Egregious ACK Delays in Cellular Data Networks by Eliminating TCP ACK Clocking Wai Kay Leong, Yin Xu, Ben Leong, Zixiao Wang National University of Singapore Asymmetry in Cellular Networks Congestion

More information

Impact of TCP Window Size on a File Transfer

Impact of TCP Window Size on a File Transfer Impact of TCP Window Size on a File Transfer Introduction This example shows how ACE diagnoses and visualizes application and network problems; it is not a step-by-step tutorial. If you have experience

More information

TCP and BBR. Geoff Huston APNIC

TCP and BBR. Geoff Huston APNIC TCP and BBR Geoff Huston APNIC Computer Networking is all about moving data The way in which data movement is controlled is a key characteristic of the network architecture The Internet protocol passed

More information

TCP congestion control:

TCP congestion control: TCP congestion control: Probing for usable bandwidth: Ideally: transmit as fast as possible (cwnd as large as possible) without loss Increase cwnd until loss (congestion) Loss: decrease cwnd, then begin

More information

Congestion Control in TCP

Congestion Control in TCP Congestion Control in TCP Outline Overview of RENO TCP Reacting to Congestion SS/AIMD example CS 640 1 TCP Congestion Control The idea of TCP congestion control is for each source to determine how much

More information

CS 5520/ECE 5590NA: Network Architecture I Spring Lecture 13: UDP and TCP

CS 5520/ECE 5590NA: Network Architecture I Spring Lecture 13: UDP and TCP CS 5520/ECE 5590NA: Network Architecture I Spring 2008 Lecture 13: UDP and TCP Most recent lectures discussed mechanisms to make better use of the IP address space, Internet control messages, and layering

More information

2.993: Principles of Internet Computing Quiz 1. Network

2.993: Principles of Internet Computing Quiz 1. Network 2.993: Principles of Internet Computing Quiz 1 2 3:30 pm, March 18 Spring 1999 Host A Host B Network 1. TCP Flow Control Hosts A, at MIT, and B, at Stanford are communicating to each other via links connected

More information

Bandwidth Allocation & TCP

Bandwidth Allocation & TCP Bandwidth Allocation & TCP The Transport Layer Focus Application Presentation How do we share bandwidth? Session Topics Transport Network Congestion control & fairness Data Link TCP Additive Increase/Multiplicative

More information

TCP Congestion Control

TCP Congestion Control 6.033, Spring 2014 TCP Congestion Control Dina Katabi & Sam Madden nms.csail.mit.edu/~dina Sharing the Internet How do you manage resources in a huge system like the Internet, where users with different

More information

Report on Transport Protocols over Mismatched-rate Layer-1 Circuits with 802.3x Flow Control

Report on Transport Protocols over Mismatched-rate Layer-1 Circuits with 802.3x Flow Control Report on Transport Protocols over Mismatched-rate Layer-1 Circuits with 82.3x Flow Control Helali Bhuiyan, Mark McGinley, Tao Li, Malathi Veeraraghavan University of Virginia Email: {helali, mem5qf, taoli,

More information

Link Characteristics Information conveyance

Link Characteristics Information conveyance Link Characteristics Information conveyance MOBOPTS IETF #65 J. Zhang, S. Park, J. Korhonen, P. Sarolahti Introduction Prelimenary results from two different sets of simulations utilizing explicit LCI

More information

TCP Congestion Control

TCP Congestion Control TCP Congestion Control Lecture material taken from Computer Networks A Systems Approach, Third Ed.,Peterson and Davie, Morgan Kaufmann, 2003. Computer Networks: TCP Congestion Control 1 TCP Congestion

More information

F-RTO: An Enhanced Recovery Algorithm for TCP Retransmission Timeouts

F-RTO: An Enhanced Recovery Algorithm for TCP Retransmission Timeouts F-RTO: An Enhanced Recovery Algorithm for TCP Retransmission Timeouts Pasi Sarolahti Nokia Research Center pasi.sarolahti@nokia.com Markku Kojo, Kimmo Raatikainen University of Helsinki Department of Computer

More information

15-744: Computer Networking TCP

15-744: Computer Networking TCP 15-744: Computer Networking TCP Congestion Control Congestion Control Assigned Reading [Jacobson and Karels] Congestion Avoidance and Control [TFRC] Equation-Based Congestion Control for Unicast Applications

More information

CSE 461. TCP and network congestion

CSE 461. TCP and network congestion CSE 461 TCP and network congestion This Lecture Focus How should senders pace themselves to avoid stressing the network? Topics Application Presentation Session Transport Network congestion collapse Data

More information

Flow and Congestion Control

Flow and Congestion Control CE443 Computer Networks Flow and Congestion Control Behnam Momeni Computer Engineering Department Sharif University of Technology Acknowledgments: Lecture slides are from Computer networks course thought

More information

TCP and BBR. Geoff Huston APNIC. #apricot

TCP and BBR. Geoff Huston APNIC. #apricot TCP and BBR Geoff Huston APNIC The IP Architecture At its heart IP is a datagram network architecture Individual IP packets may be lost, re-ordered, re-timed and even fragmented The IP Architecture At

More information

CS 557 Congestion and Complexity

CS 557 Congestion and Complexity CS 557 Congestion and Complexity Observations on the Dynamics of a Congestion Control Algorithm: The Effects of Two-Way Traffic Zhang, Shenker, and Clark, 1991 Spring 2013 The Story So Far. Transport layer:

More information

Lecture 21: Congestion Control" CSE 123: Computer Networks Alex C. Snoeren

Lecture 21: Congestion Control CSE 123: Computer Networks Alex C. Snoeren Lecture 21: Congestion Control" CSE 123: Computer Networks Alex C. Snoeren Lecture 21 Overview" How fast should a sending host transmit data? Not to fast, not to slow, just right Should not be faster than

More information

Appendix B. Standards-Track TCP Evaluation

Appendix B. Standards-Track TCP Evaluation 215 Appendix B Standards-Track TCP Evaluation In this appendix, I present the results of a study of standards-track TCP error recovery and queue management mechanisms. I consider standards-track TCP error

More information

Assignment 10: TCP and Congestion Control Due the week of November 14/15, 2012

Assignment 10: TCP and Congestion Control Due the week of November 14/15, 2012 Assignment 10: TCP and Congestion Control Due the week of November 14/15, 2012 I d like to complete our exploration of TCP by taking a close look at the topic of congestion control in TCP. To prepare for

More information

Congestion Control 3/16/09

Congestion Control 3/16/09 Congestion Control Outline Resource Allocation Queuing TCP Congestion Control Spring 009 CSE3064 Issues Two sides of the same coin pre-allocate resources so at to avoid congestion control congestion if

More information

Chapter III: Transport Layer

Chapter III: Transport Layer Chapter III: Transport Layer UG3 Computer Communications & Networks (COMN) Mahesh Marina mahesh@ed.ac.uk Slides thanks to Myungjin Lee and copyright of Kurose and Ross Principles of congestion control

More information

Problem 7. Problem 8. Problem 9

Problem 7. Problem 8. Problem 9 Problem 7 To best answer this question, consider why we needed sequence numbers in the first place. We saw that the sender needs sequence numbers so that the receiver can tell if a data packet is a duplicate

More information

20: Networking (2) TCP Socket Buffers. Mark Handley. TCP Acks. TCP Data. Application. Application. Kernel. Kernel. Socket buffer.

20: Networking (2) TCP Socket Buffers. Mark Handley. TCP Acks. TCP Data. Application. Application. Kernel. Kernel. Socket buffer. 20: Networking (2) Mark Handley TCP Socket Buffers Application Application Kernel write Kernel read Socket buffer Socket buffer DMA DMA NIC TCP Acks NIC TCP Data 1 TCP Socket Buffers Send-side Socket Buffer

More information

CMPE 257: Wireless and Mobile Networking

CMPE 257: Wireless and Mobile Networking CMPE 257: Wireless and Mobile Networking Katia Obraczka Computer Engineering UCSC Baskin Engineering Lecture 10 CMPE 257 Spring'15 1 Student Presentations Schedule May 21: Sam and Anuj May 26: Larissa

More information

Congestion Control Without a Startup Phase

Congestion Control Without a Startup Phase Congestion Control Without a Startup Phase Dan Liu 1, Mark Allman 2, Shudong Jin 1, Limin Wang 3 1. Case Western Reserve University, 2. International Computer Science Institute, 3. Bell Labs PFLDnet 2007

More information

Networked Systems and Services, Fall 2017 Reliability with TCP

Networked Systems and Services, Fall 2017 Reliability with TCP Networked Systems and Services, Fall 2017 Reliability with TCP Jussi Kangasharju Markku Kojo Lea Kutvonen 4. Transmission Control Protocol (TCP) RFC 793 + more than hundred other RFCs TCP Loss Recovery

More information

CSE 123A Computer Networks

CSE 123A Computer Networks CSE 123A Computer Networks Winter 2005 Lecture 14 Congestion Control Some images courtesy David Wetherall Animations by Nick McKeown and Guido Appenzeller The bad news and the good news The bad news: new

More information

Chapter 3 outline. 3.5 Connection-oriented transport: TCP. 3.6 Principles of congestion control 3.7 TCP congestion control

Chapter 3 outline. 3.5 Connection-oriented transport: TCP. 3.6 Principles of congestion control 3.7 TCP congestion control Chapter 3 outline 3.1 Transport-layer services 3.2 Multiplexing and demultiplexing 3.3 Connectionless transport: UDP 3.4 Principles of reliable data transfer 3.5 Connection-oriented transport: TCP segment

More information

CS268: Beyond TCP Congestion Control

CS268: Beyond TCP Congestion Control TCP Problems CS68: Beyond TCP Congestion Control Ion Stoica February 9, 004 When TCP congestion control was originally designed in 1988: - Key applications: FTP, E-mail - Maximum link bandwidth: 10Mb/s

More information

Recap. TCP connection setup/teardown Sliding window, flow control Retransmission timeouts Fairness, max-min fairness AIMD achieves max-min fairness

Recap. TCP connection setup/teardown Sliding window, flow control Retransmission timeouts Fairness, max-min fairness AIMD achieves max-min fairness Recap TCP connection setup/teardown Sliding window, flow control Retransmission timeouts Fairness, max-min fairness AIMD achieves max-min fairness 81 Feedback Signals Several possible signals, with different

More information

Performance Consequences of Partial RED Deployment

Performance Consequences of Partial RED Deployment Performance Consequences of Partial RED Deployment Brian Bowers and Nathan C. Burnett CS740 - Advanced Networks University of Wisconsin - Madison ABSTRACT The Internet is slowly adopting routers utilizing

More information

Computer Networking

Computer Networking 15-441 Computer Networking Lecture 17 TCP Performance & Future Eric Anderson Fall 2013 www.cs.cmu.edu/~prs/15-441-f13 Outline TCP modeling TCP details 2 TCP Performance Can TCP saturate a link? Congestion

More information

There are 10 questions in total. Please write your SID on each page.

There are 10 questions in total. Please write your SID on each page. Name: SID: Department of EECS - University of California at Berkeley EECS122 - Introduction to Communication Networks - Spring 2005 to the Final: 5/20/2005 There are 10 questions in total. Please write

More information

Department of EECS - University of California at Berkeley EECS122 - Introduction to Communication Networks - Spring 2005 Final: 5/20/2005

Department of EECS - University of California at Berkeley EECS122 - Introduction to Communication Networks - Spring 2005 Final: 5/20/2005 Name: SID: Department of EECS - University of California at Berkeley EECS122 - Introduction to Communication Networks - Spring 2005 Final: 5/20/2005 There are 10 questions in total. Please write your SID

More information

Lecture 14: Congestion Control"

Lecture 14: Congestion Control Lecture 14: Congestion Control" CSE 222A: Computer Communication Networks George Porter Thanks: Amin Vahdat, Dina Katabi and Alex C. Snoeren Lecture 14 Overview" TCP congestion control review Dukkipati

More information

Chapter III. congestion situation in Highspeed Networks

Chapter III. congestion situation in Highspeed Networks Chapter III Proposed model for improving the congestion situation in Highspeed Networks TCP has been the most used transport protocol for the Internet for over two decades. The scale of the Internet and

More information

Flow and Congestion Control (Hosts)

Flow and Congestion Control (Hosts) Flow and Congestion Control (Hosts) 14-740: Fundamentals of Computer Networks Bill Nace Material from Computer Networking: A Top Down Approach, 6 th edition. J.F. Kurose and K.W. Ross traceroute Flow Control

More information

PRACTICE QUESTIONS ON RESOURCE ALLOCATION

PRACTICE QUESTIONS ON RESOURCE ALLOCATION PRACTICE QUESTIONS ON RESOURCE ALLOCATION QUESTION : Internet Versus Station Wagon A famous maxim, sometimes attributed to Dennis Ritchie, says Never underestimate the bandwidth of a station wagon full

More information

Congestion Control in TCP

Congestion Control in TCP Congestion Control in TCP Antonio Carzaniga Faculty of Informatics University of Lugano May 6, 2005 Outline Intro to congestion control Input rate vs. output throughput Congestion window Congestion avoidance

More information

Advanced Computer Networks

Advanced Computer Networks Advanced Computer Networks Congestion control in TCP Prof. Andrzej Duda duda@imag.fr http://duda.imag.fr 1 Contents Principles TCP congestion control states Slow Start Congestion Avoidance Fast Recovery

More information

Goals of Today s Lecture! Congestion Control! Course So Far.! Congestion Control Overview! It s Not Just The Sender & Receiver! Congestion is Natural!

Goals of Today s Lecture! Congestion Control! Course So Far.! Congestion Control Overview! It s Not Just The Sender & Receiver! Congestion is Natural! Goals of Today s Lecture! Congestion Control! EE 22: Intro to Communication Networks Fall 200 (MW 4-5:30 in 0 Barker) Scott Shenker TAs: Sameer Agarwal, Sara Alspaugh, Igor Ganichev, Prayag Narula http://inst.eecs.berkeley.edu/~ee22/

More information

CMSC 417. Computer Networks Prof. Ashok K Agrawala Ashok Agrawala. October 30, 2018

CMSC 417. Computer Networks Prof. Ashok K Agrawala Ashok Agrawala. October 30, 2018 CMSC 417 Computer Networks Prof. Ashok K Agrawala 2018 Ashok Agrawala October 30, 2018 Message, Segment, Packet, and Frame host host HTTP HTTP message HTTP TCP TCP segment TCP router router IP IP packet

More information

TCP and BBR. Geoff Huston APNIC

TCP and BBR. Geoff Huston APNIC TCP and BBR Geoff Huston APNIC The IP Architecture At its heart IP is a datagram network architecture Individual IP packets may be lost, re-ordered, re-timed and even fragmented The IP Architecture At

More information

Networked Systems and Services, Fall 2018 Chapter 3

Networked Systems and Services, Fall 2018 Chapter 3 Networked Systems and Services, Fall 2018 Chapter 3 Jussi Kangasharju Markku Kojo Lea Kutvonen 4. Transport Layer Reliability with TCP Transmission Control Protocol (TCP) RFC 793 + more than hundred other

More information

Performance Analysis of TCP Variants

Performance Analysis of TCP Variants 102 Performance Analysis of TCP Variants Abhishek Sawarkar Northeastern University, MA 02115 Himanshu Saraswat PES MCOE,Pune-411005 Abstract The widely used TCP protocol was developed to provide reliable

More information

Computer Networking Introduction

Computer Networking Introduction Computer Networking Introduction Halgurd S. Maghdid Software Engineering Department Koya University-Koya, Kurdistan-Iraq Lecture No.11 Chapter 3 outline 3.1 transport-layer services 3.2 multiplexing and

More information

CS 638 Lab 6: Transport Control Protocol (TCP)

CS 638 Lab 6: Transport Control Protocol (TCP) CS 638 Lab 6: Transport Control Protocol (TCP) Joe Chabarek and Paul Barford University of Wisconsin Madison jpchaba,pb@cs.wisc.edu The transport layer of the network protocol stack (layer 4) sits between

More information

A Hybrid Systems Modeling Framework for Fast and Accurate Simulation of Data Communication Networks. Motivation

A Hybrid Systems Modeling Framework for Fast and Accurate Simulation of Data Communication Networks. Motivation A Hybrid Systems Modeling Framework for Fast and Accurate Simulation of Data Communication Networks Stephan Bohacek João P. Hespanha Junsoo Lee Katia Obraczka University of Delaware University of Calif.

More information

CSCI-1680 Transport Layer II Data over TCP Rodrigo Fonseca

CSCI-1680 Transport Layer II Data over TCP Rodrigo Fonseca CSCI-1680 Transport Layer II Data over TCP Rodrigo Fonseca Based partly on lecture notes by David Mazières, Phil Levis, John Janno< Last Class CLOSED Passive open Close Close LISTEN Introduction to TCP

More information

Reliable Transport II: TCP and Congestion Control

Reliable Transport II: TCP and Congestion Control Reliable Transport II: TCP and Congestion Control Brad Karp UCL Computer Science CS 3035/GZ01 31 st October 2013 Outline Slow Start AIMD Congestion control Throughput, loss, and RTT equation Connection

More information

Flow and Congestion Control Marcos Vieira

Flow and Congestion Control Marcos Vieira Flow and Congestion Control 2014 Marcos Vieira Flow Control Part of TCP specification (even before 1988) Goal: not send more data than the receiver can handle Sliding window protocol Receiver uses window

More information

The Transport Control Protocol (TCP)

The Transport Control Protocol (TCP) TNK092: Network Simulation - Nätverkssimulering Lecture 3: TCP, and random/short sessions Vangelis Angelakis Ph.D. The Transport Control Protocol (TCP) Objectives of TCP and flow control Create a reliable

More information

Analysis of Captured Data on a Typical Tcp Connection

Analysis of Captured Data on a Typical Tcp Connection IOSR Journal Of Environmental Science, Toxicology And Food Technology (IOSR-JESTFT) e-issn: 2319-2402,p- ISSN: 2319-2399. Volume 4, Issue 4 (May. - Jun. 2013), PP 75-80 www.iosrjournals.org Analysis of

More information

Congestion Control in TCP

Congestion Control in TCP Congestion Control in TCP Antonio Carzaniga Faculty of Informatics University of Lugano November 11, 2014 Outline Intro to congestion control Input rate vs. output throughput Congestion window Congestion

More information

Lecture 15: Transport Layer Congestion Control

Lecture 15: Transport Layer Congestion Control Lecture 15: Transport Layer Congestion Control COMP 332, Spring 2018 Victoria Manfredi Acknowledgements: materials adapted from Computer Networking: A Top Down Approach 7 th edition: 1996-2016, J.F Kurose

More information

ADVANCED TOPICS FOR CONGESTION CONTROL

ADVANCED TOPICS FOR CONGESTION CONTROL ADVANCED TOPICS FOR CONGESTION CONTROL Congestion Control The Internet only functions because TCP s congestion control does an effective job of matching traffic demand to available capacity. TCP s Window

More information

Congestion / Flow Control in TCP

Congestion / Flow Control in TCP Congestion and Flow Control in 1 Flow Control and Congestion Control Flow control Sender avoids overflow of receiver buffer Congestion control All senders avoid overflow of intermediate network buffers

More information

Chapter 4. Routers with Tiny Buffers: Experiments. 4.1 Testbed experiments Setup

Chapter 4. Routers with Tiny Buffers: Experiments. 4.1 Testbed experiments Setup Chapter 4 Routers with Tiny Buffers: Experiments This chapter describes two sets of experiments with tiny buffers in networks: one in a testbed and the other in a real network over the Internet2 1 backbone.

More information

Reliable Transport II: TCP and Congestion Control

Reliable Transport II: TCP and Congestion Control Reliable Transport II: TCP and Congestion Control Stefano Vissicchio UCL Computer Science COMP0023 Recap: Last Lecture Transport Concepts Layering context Transport goals Transport mechanisms and design

More information