Network Working Group                                            K. Poduri
Request for Comments: 2415                                      K. Nichols
Category: Informational                                       Bay Networks
                                                           September 1998


       Simulation Studies of Increased Initial TCP Window Size

Status of this Memo

  This memo provides information for the Internet community.  It does
  not specify an Internet standard of any kind.  Distribution of this
  memo is unlimited.

Copyright Notice

  Copyright (C) The Internet Society (1998).  All Rights Reserved.

Abstract

  An increase in the permissible initial window size of a TCP
  connection, from one segment to three or four segments, has been
  under discussion in the tcp-impl working group. This document covers
  some simulation studies of the effects of increasing the initial
  window size of TCP. Both long-lived TCP connections (file transfers)
  and short-lived web-browsing style connections were modeled. The
  simulations were performed using the publicly available ns-2
  simulator and our custom models and files are also available.

1. Introduction

  We present results from a set of simulations with increased TCP
  initial window (IW). The main objectives were to explore the
  conditions under which the larger IW was a "win" and to determine the
  effects, if any, the larger IW might have on other traffic flows
  using an IW of one segment.

  This study was inspired by discussions at the Munich IETF tcp-impl
  and tcp-sat meetings. A proposal to increase the IW size to about 4K
  bytes (4380 bytes in the case of 1460 byte segments) was discussed.
  Concerns about both the utility of the increase and its effect on
  other traffic were raised. Some studies were presented showing the
  positive effects of increased IW on individual connections, but no
  studies were shown with a wide variety of simultaneous traffic flows.
  It appeared that some of the questions being raised could be
  addressed in an ns-2 simulation. Early results from our simulations
  were previously posted to the tcp-impl mailing list and presented at
  the tcp-impl WG meeting at the December 1997 IETF.



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2. Model and Assumptions

  We simulated a network topology with a bottleneck link as shown:

          10Mb,                                    10Mb,
          (all 4 links)                          (all 4 links)

     C   n2_________                               ______ n6     S
     l   n3_________\                             /______ n7     e
     i              \\              1.5Mb, 50ms   //             r
     e               n0 ------------------------ n1              v
     n   n4__________//                          \ \_____ n8     e
     t   n5__________/                            \______ n9     r
     s                                                           s

                   URLs -->          <--- FTP & Web data

  File downloading and web-browsing clients are attached to the nodes
  (n2-n5) on the left-hand side. These clients are served by the FTP
  and Web servers attached to the nodes (n6-n9) on the right-hand side.
  The links to and from those nodes are at 10 Mbps. The bottleneck link
  is between n1 and n0. All links are bi-directional, but only ACKs,
  SYNs, FINs, and URLs are flowing from left to right. Some simulations
  were also performed with data traffic flowing from right to left
  simultaneously, but it had no effect on the results.

  In the simulations we assumed that all ftps transferred 1-MB files
  and that all web pages had exactly three embedded URLs. The web
  clients are browsing quite aggressively, requesting a new page after
  a random delay uniformly distributed between 1 and 5 seconds. This is
  not meant to realistically model a single user's web-browsing
  pattern, but to create a reasonably heavy traffic load whose
  individual tcp connections accurately reflect real web traffic. Some
  discussion of these models as used in earlier studies is available in
  references [3] and [4].

  The maximum tcp window was set to 11 packets, maximum packet (or
  segment) size to 1460 bytes, and buffer sizes were set at 25 packets.
  (The ns-2 TCPs require setting window sizes and buffer sizes in
  number of packets. In our tcp-full code some of the internal
  parameters have been set to be byte-oriented, but external values
  must still be set in number of packets.)  In our simulations, we
  varied the number of data segments sent into a new TCP connection (or
  initial window) from one to four, keeping all segments at 1460 bytes.
  A dropped packet causes a restart window of one segment to be used,
  just as in current practice.





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  For ns-2 users: The tcp-full code was modified to use an
  "application" class and three application client-server pairs were
  written: a simple file transfer (ftp), a model of http1.0 style web
  connection and a very rough model of http1.1 style web connection.
  The required files and scripts for these simulations are available
  under the contributed code section on the ns-simulator web page at
  the sites ftp://ftp.ee.lbl.gov/IW.{tar, tar.Z} or http://www-
  nrg.ee.lbl.gov/floyd/tcp_init_win.html.

  Simulations were run with 8, 16, 32 web clients and a number of ftp
  clients ranging from 0 to 3. The IW was varied from 1 to 4, though
  the 4-packet case lies beyond what is currently recommended. The
  figures of merit used were goodput, the median page delay seen by the
  web clients and the median file transfer delay seen by the ftp
  clients. The simulated run time was rather large, 360 seconds, to
  ensure an adequate sample. (Median values remained the same for
  simulations with larger run times and can be considered stable)

3. Results

  In our simulations, we varied the number of file transfer clients in
  order to change the congestion of the link. Recall that our ftp
  clients continuously request 1 Mbyte transfers, so the link
  utilization is over 90% when even a single ftp client is present.
  When three file transfer clients are running simultaneously, the
  resultant congestion is somewhat pathological, making the values
  recorded stable. Though all connections use the same initial window,
  the effect of increasing the IW on a 1 Mbyte file transfer is not
  detectable, thus we focus on the web browsing connections.  (In the
  tables, we use "webs" to indicate number of web clients and "ftps" to
  indicate the number of file transfer clients attached.) Table 1 shows
  the median delays experienced by the web transfers with an increase
  in the TCP IW.  There is clearly an improvement in transfer delays
  for the web connections with increase in the IW, in many cases on the
  order of 30%.  The steepness of the performance improvement going
  from an IW of 1 to an IW of 2 is mainly due to the distribution of
  files fetched by each URL (see references [1] and [2]); the median
  size of both primary and in-line URLs fits completely into two
  packets. If file distributions change, the shape of this curve may
  also change.











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  Table 1. Median web page delay

  #Webs   #FTPs   IW=1    IW=2    IW=3    IW=4
                  (s)        (% decrease)
  ----------------------------------------------
    8      0      0.56    14.3  17.9   16.1
    8      1      1.06    18.9  25.5   32.1
    8      2      1.18    16.1  17.1   28.9
    8      3      1.26    11.9  19.0   27.0
   16      0      0.64    11.0  15.6   18.8
   16      1      1.04    17.3  24.0   35.6
   16      2      1.22    17.2  20.5   25.4
   16      3      1.31    10.7  21.4   22.1
   32      0      0.92    17.6  28.6   21.0
   32      1      1.19    19.6  25.0   26.1
   32      2      1.43    23.8  35.0   33.6
   32      3      1.56    19.2  29.5   33.3

  Table 2 shows the bottleneck link utilization and packet drop
  percentage of the same experiment. Packet drop rates did increase
  with IW, but in all cases except that of the single most pathological
  overload, the increase in drop percentage was less than 1%. A
  decrease in packet drop percentage is observed in some overloaded
  situations, specifically when ftp transfers consumed most of the link
  bandwidth and a large number of web transfers shared the remaining
  bandwidth of the link. In this case, the web transfers experience
  severe packet loss and some of the IW=4 web clients suffer multiple
  packet losses from the same window, resulting in longer recovery
  times than when there is a single packet loss in a window. During the
  recovery time, the connections are inactive which alleviates
  congestion and thus results in a decrease in the packet drop
  percentage. It should be noted that such observations were made only
  in extremely overloaded scenarios.


















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Table 2. Link utilization and packet drop rates

        Percentage Link Utilization            |      Packet drop rate
#Webs   #FTPs   IW=1    IW=2    IW=3  IW=4      |IW=1  IW=2  IW=3  IW=4
-----------------------------------------------------------------------
 8     0        34     37      38      39      | 0.0   0.0  0.0   0.0
 8     1        95     92      93      92      | 0.6   1.2  1.4   1.3
 8     2        98     97      97      96      | 1.8   2.3  2.3   2.7
 8     3        98     98      98      98      | 2.6   3.0  3.5   3.5
-----------------------------------------------------------------------
16     0        67     69      69      67      | 0.1   0.5  0.8   1.0
16     1        96     95      93      92      | 2.1   2.6  2.9   2.9
16     2        98     98      97      96      | 3.5   3.6  4.2   4.5
16     3        99     99      98      98      | 4.5   4.7  5.2   4.9
-----------------------------------------------------------------------
32     0        92     87      85      84      | 0.1   0.5  0.8   1.0
32     1        98     97      96      96      | 2.1   2.6  2.9   2.9
32     2        99     99      98      98      | 3.5   3.6  4.2   4.5
32     3       100     99      99      98      | 9.3   8.4  7.7   7.6

  To get a more complete picture of performance, we computed the
  network power, goodput divided by median delay (in Mbytes/ms), and
  plotted it against IW for all scenarios. (Each scenario is uniquely
  identified by its number of webs and number of file transfers.) We
  plot these values in Figure 1 (in the pdf version), illustrating a
  general advantage to increasing IW. When a large number of web
  clients is combined with ftps, particularly multiple ftps,
  pathological cases result from the extreme congestion. In these
  cases, there appears to be no particular trend to the results of
  increasing the IW, in fact simulation results are not particularly
  stable.

  To get a clearer picture of what is happening across all the tested
  scenarios, we normalized the network power values for the non-
  pathological scenario by the network power for that scenario at IW of
  one. These results are plotted in Figure 2. As IW is increased from
  one to four, network power increased by at least 15%, even in a
  congested scenario dominated by bulk transfer traffic. In simulations
  where web traffic has a dominant share of the available bandwidth,
  the increase in network power was up to 60%.

  The increase in network power at higher initial window sizes is due
  to an increase in throughput and a decrease in the delay. Since the
  (slightly) increased drop rates were accompanied by better
  performance, drop rate is clearly not an indicator of user level
  performance.





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  The gains in performance seen by the web clients need to be balanced
  against the performance the file transfers are seeing. We computed
  ftp network power and show this in Table 3.  It appears that the
  improvement in network power seen by the web connections has
  negligible effect on the concurrent file transfers. It can be
  observed from the table that there is a small variation in the
  network power of file transfers with an increase in the size of IW
  but no particular trend can be seen. It can be concluded that the
  network power of file transfers essentially remained the same.
  However, it should be noted that a larger IW does allow web transfers
  to gain slightly more bandwidth than with a smaller IW. This could
  mean fewer bytes transferred for FTP applications or a slight
  decrease in network power as computed by us.

  Table 3. Network power of file transfers with an increase in the TCP
           IW size

  #Webs   #FTPs   IW=1    IW=2    IW=3    IW=4
  --------------------------------------------
    8      1      4.7     4.2     4.2     4.2
    8      2      3.0     2.8     3.0     2.8
    8      3      2.2     2.2     2.2     2.2
   16      1      2.3     2.4     2.4     2.5
   16      2      1.8     2.0     1.8     1.9
   16      3      1.4     1.6     1.5     1.7
   32      1      0.7     0.9     1.3     0.9
   32      2      0.8     1.0     1.3     1.1
   32      3      0.7     1.0     1.2     1.0

  The above simulations all used http1.0 style web connections, thus, a
  natural question is to ask how results are affected by migration to
  http1.1. A rough model of this behavior was simulated by using one
  connection to send all of the information from both the primary URL
  and the three embedded, or in-line, URLs. Since the transfer size is
  now made up of four web files, the steep improvement in performance
  between an IW of 1 and an IW of two, noted in the previous results,
  has been smoothed. Results are shown in Tables 4 & 5 and Figs. 3 & 4.
  Occasionally an increase in IW from 3 to 4 decreases the network
  power owing to a non-increase or a slight decrease in the throughput.
  TCP connections opening up with a higher window size into a very
  congested network might experience some packet drops and consequently
  a slight decrease in the throughput. This indicates that increase of
  the initial window sizes to further higher values (>4) may not always
  result in a favorable network performance. This can be seen clearly
  in Figure 4 where the network power shows a decrease for the two
  highly congested cases.





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  Table 4. Median web page delay for http1.1

  #Webs   #FTPs   IW=1    IW=2    IW=3    IW=4
                  (s)       (% decrease)
  ----------------------------------------------
    8      0      0.47   14.9   19.1   21.3
    8      1      0.84   17.9   19.0   25.0
    8      2      0.99   11.5   17.3   23.0
    8      3      1.04   12.1   20.2   28.3
   16      0      0.54   07.4   14.8   20.4
   16      1      0.89   14.6   21.3   27.0
   16      2      1.02   14.7   19.6   25.5
   16      3      1.11   09.0   17.0   18.9
   32      0      0.94   16.0   29.8   36.2
   32      1      1.23   12.2   28.5   21.1
   32      2      1.39   06.5   13.7   12.2
   32      3      1.46   04.0   11.0   15.0


  Table 5. Network power of file transfers with an increase in the
           TCP IW size

  #Webs   #FTPs   IW=1    IW=2    IW=3    IW=4
  --------------------------------------------
    8      1      4.2     4.2     4.2     3.7
    8      2      2.7     2.5     2.6     2.3
    8      3      2.1     1.9     2.0     2.0
   16      1      1.8     1.8     1.5     1.4
   16      2      1.5     1.2     1.1     1.5
   16      3      1.0     1.0     1.0     1.0
   32      1      0.3     0.3     0.5     0.3
   32      2      0.4     0.3     0.4     0.4
   32      3      0.4     0.3     0.4     0.5

  For further insight, we returned to the http1.0 model and mixed some
  web-browsing connections with IWs of one with those using IWs of
  three. In this experiment, we first simulated a total of 16 web-
  browsing connections, all using IW of one. Then the clients were
  split into two groups of 8 each, one of which uses IW=1 and the other
  used IW=3.

  We repeated the simulations for a total of 32 and 64 web-browsing
  clients, splitting those into groups of 16 and 32 respectively. Table
  6 shows these results.  We report the goodput (in Mbytes), the web
  page delays (in milli seconds), the percent utilization of the link
  and the percent of packets dropped.





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Table 6. Results for half-and-half scenario

Median Page Delays and Goodput (MB)   | Link Utilization (%) & Drops (%)
#Webs     IW=1    |     IW=3          |       IW=1    |    IW=3
     G.put   dly |  G.put   dly      |  L.util  Drops| L.util   Drops
------------------|-------------------|---------------|---------------
16      35.5  0.64|  36.4   0.54      |   67      0.1 |   69       0.7
8/8     16.9  0.67|  18.9   0.52      |   68      0.5 |
------------------|-------------------|---------------|---------------
32      48.9  0.91|  44.7   0.68      |   92      3.5 |   85       4.3
16/16   22.8  0.94|  22.9   0.71      |   89      4.6 |
------------------|-------------------|---------------|----------------
64      51.9  1.50|  47.6   0.86      |   98     13.0 |   91       8.6
32/32   29.0  1.40|  22.0   1.20      |   98     12.0 |

  Unsurprisingly, the non-split experiments are consistent with our
  earlier results, clients with IW=3 outperform clients with IW=1. The
  results of running the 8/8 and 16/16 splits show that running a
  mixture of IW=3 and IW=1 has no negative effect on the IW=1
  conversations, while IW=3 conversations maintain their performance.
  However, the 32/32 split shows that web-browsing connections with
  IW=3 are adversely affected. We believe this is due to the
  pathological dynamics of this extremely congested scenario. Since
  embedded URLs open their connections simultaneously, very large
  number of TCP connections are arriving at the bottleneck link
  resulting in multiple packet losses for the IW=3 conversations. The
  myriad problems of this simultaneous opening strategy is, of course,
  part of the motivation for the development of http1.1.

4. Discussion

  The indications from these results are that increasing the initial
  window size to 3 packets (or 4380 bytes) helps to improve perceived
  performance. Many further variations on these simulation scenarios
  are possible and we've made our simulation models and scripts
  available in order to facilitate others' experiments.

  We also used the RED queue management included with ns-2 to perform
  some other simulation studies. We have not reported on those results
  here since we don't consider the studies complete. We found that by
  adding RED to the bottleneck link, we achieved similar performance
  gains (with an IW of 1) to those we found with increased IWs without
  RED. Others may wish to investigate this further.

  Although the simulation sets were run for a T1 link, several
  scenarios with varying levels of congestion and varying number of web
  and ftp clients were analyzed. It is reasonable to expect that the
  results would scale for links with higher bandwidth. However,



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  interested readers could investigate this aspect further.

  We also used the RED queue management included with ns-2 to perform
  some other simulation studies. We have not reported on those results
  here since we don't consider the studies complete. We found that by
  adding RED to the bottleneck link, we achieved similar performance
  gains (with an IW of 1) to those we found with increased IWs without
  RED. Others may wish to investigate this further.

5. References

  [1] B. Mah, "An Empirical Model of HTTP Network Traffic", Proceedings
      of INFOCOM '97, Kobe, Japan, April 7-11, 1997.

  [2] C.R. Cunha, A. Bestavros, M.E. Crovella, "Characteristics of WWW
      Client-based Traces", Boston University Computer Science
      Technical Report BU-CS-95-010, July 18, 1995.

  [3] K.M. Nichols and M. Laubach, "Tiers of Service for Data Access in
      a HFC Architecture", Proceedings of SCTE Convergence Conference,
      January, 1997.

  [4] K.M. Nichols, "Improving Network Simulation with Feedback",
      available from [email protected]

6. Acknowledgements

  This work benefited from discussions with and comments from Van
  Jacobson.

7. Security Considerations

  This document discusses a simulation study of the effects of a
  proposed change to TCP. Consequently, there are no security
  considerations directly related to the document. There are also no
  known security considerations associated with the proposed change.















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8. Authors' Addresses

  Kedarnath Poduri
  Bay Networks
  4401 Great America Parkway
  SC01-04
  Santa Clara, CA 95052-8185

  Phone: +1-408-495-2463
  Fax:   +1-408-495-1299
  EMail: [email protected]


  Kathleen Nichols
  Bay Networks
  4401 Great America Parkway
  SC01-04
  Santa Clara, CA 95052-8185

  EMail: [email protected]































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Full Copyright Statement

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