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发表于 2008-5-6 07:42 |只看该作者 |倒序浏览
|招呼Ta 关注Ta
在network 中 如何用token bucket to control packet transmission rate.
编程序后做图表分析
能做的高手请与我联系QQ 346719984

内容如下
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The risk of congestion collapse on the Internet is becoming a reality 4 f: n8 U- ~" V! \& l! X" Ggiven the increasing number

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of audio/video applications that use UDP as their main transport4 s* ^: p' z0 i7 O. g protocol. Unlike TCP, these

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traffic do not respond to congestion signal; i.e., a packet loss. As a9 P8 B: u2 \ @# X' O result, audio/video

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applications may take an unfair share of the network bandwidth and/ b1 ^7 o9 }1 y4 s% |1 \: D also cause persistent

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congestion. To avoid congestion collapse, the IETF has proposed that- U3 v0 V/ B" p8 J- q5 U/ A audio/video applications

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use equation based congestion control (see Lecture‐7 and the reference# ]) P, d: E) u+ D given on the next

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page).

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In this assignment, you will simulate n 6 G7 [% T( s& n4 j& {+ x+ G4 o; Wsources that uses/ S7 p$ m. `- ?4 o$ Q equation based congestion control to

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set their transmission rate. From your simulation, you will determine- J% r# ^0 b( s6 H# O! Q whether equation based

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congestion : Y! V3 W' C: a y$ _' T ~control is effective in reducing packet loss, and hence congestion.

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The above network can then be simulated as follows:

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Initialization

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Set the router’s queue size to N, meaning it can hold up to N packets.

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For each sender, set an initial transmission rate, and determine the6 e: ?( s( J; g! n2 p! i2 v time when the first packet is

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to be generated.

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Body

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FOR t=1 to SIM_TIME DO

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{

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1. IF the router’s queue is not empty then dequeue a packet, and: U% N0 u* d. k' P7 m2 t enqueue that packet in

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the corresponding receiver’s queue.

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2. IF a sender has a packet to send THEN

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‐ Check if the router’s queue is full. If not, enqueue the sender’s ) r: t" y! R; A( ]5 o4 Z6 M' W& vpacket. Otherwise,

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discard the packet.

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3. Determine whether any packet loss rate messages are generated by9 Y8 d4 ]7 J8 C2 J receivers. If yes,

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then re‐compute the sender’s transmission rate. Determine the new time; A* R. p0 R- H+ r3 i when the

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next packet will be generated. I.e, t+k, where k is the time interval# I+ B, c- ?3 S j/ o2 n# s until the next packet

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arrives.

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4. Collect all required statistics.

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}

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In your simulation, collect the (a) queue length over time, (b) # U2 l. s' ?8 z4 @average queue length, (c) average

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end‐to‐end packet delay, and (d) Jain’s fairness index. Determine the' L( X5 ?8 m: B8 y. `' c: X( F4 d6 _ effect of the following

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factors: (i) increasing source and receiver pairs, (ii) varying N 0 r% N: v8 L N; P2 P: Dvalues, (iii) different packet loss

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reporting periods, (iv) loss calculation methods, (v) load p, (vi). h. Y0 `9 A+ y, i: t+ G! b router’s transmission rate;

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instead of one packet per‐tic, try k packets, and (vii) z. H8 ^. S& i, V' l, v' t0 g number of new flows: i$ K: Z/ ?, t. l arriving at time t .

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0 r) g8 U5 @8 w Do with sources - g5 r0 E/ S; G3 S4 V6 ?using a token/leaky bucket to control their transmission rate.

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Another difference is that each source has an application that 2 q3 C9 X. o ?0 \0 I( n- l$ W6 I: ogenerates bursty traffic, where

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multiple packets arrive in consecutive time intervals.

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To generate bursty traffic, use the following method:

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In the diagram above, an application generates a packet when it is in$ y$ j, d$ |4 ^+ R1 U2 a the ON state. With

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probability k, it will transition to the OFF state where it will remain idle. In |, `& _8 f( B9 X! i this state, it has

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probability z of moving back to the ON state.

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The pseudo‐code is as follows:

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1. Start at a random state: ON/OFF.

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2. At every simulation tic, do

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a. Select a random number R in 0<= R <=1.

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b. If in state=ON) H' `+ [# d) W AND R>=k, set state=OFF.

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c. If in state=OFF AND R>z, set state=ON.

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d. If state equals ON, generate a packet.

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Design an algorithm to control the token/leaky‐bucket rate of each6 _3 ~6 k) \: b9 s% y/ I' z source (or all sources

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simultaneously) such that congestion does not happen. Note, you must + c; a; T" @4 T8 Q3 H# {experiment with

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different k 1 q5 D, {1 e( Y: Jand z 2 _: A# u3 l8 ?' I: V7 xvalues and determine4 `' } i6 h7 ?. M$ i# M$ u9 } their impact on congestion.

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Reference

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S. Floyd, M. Handley, J. Padhye,& L0 G) U. `& X2 U( [6 o and J. Widmer (2000) Equation-based Congestion Control for Unicast

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Applications, ACM SIGCOMM, May, ; c1 P$ U5 ^+ ?- d8 N& N, W3 p2000.

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