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<!DOCTYPE html> <html lang=en xml:lang=en xmlns=http://www.w3.org/1999/xhtml style><!--
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小溪网--中山大学17计算机网络--做作业: 作业6
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<div class=container><div class=buttons> <input type=button class=hwdo_exit name=__exit__ id=__exit1__ value=退出></div><div class=main><p>中山大学17计算机网络<p> <hr><p>作业名称：作业6<p>作业描述：Transport Layer
<p>开始时间：2019/6/3 22:28:59<p>截止时间：2019/6/15 23:00:00<p>作业状态：<span class=hwstateabnormal>已截止</span><p>未完成题数：0 总题数：39<hr><p><p>第A节<table class=points><tbody><tr><td>1<td>2<td>3<td>4<td>5<td>6<td>7<td>8<td>9<td>10<td>11<td>12<td>13<td>14<td>15<tr><td>2<td>2<td>2<td>2<td>2<td>2<td>2<td>2<td>2<td>2<td>2<td>2<td>2<td>2<td>2<tr><td>未<br>改<td>未<br>改<td>未<br>改<td>未<br>改<td>未<br>改<td>未<br>改<td>未<br>改<td>未<br>改<td>未<br>改<td>未<br>改<td>未<br>改<td>未<br>改<td>未<br>改<td>未<br>改<td>未<br>改<tr><td>16<td>17<td>18<td>19<td>20<td>21<td>22<td>23<td>24<td>25<td>26<td>27<td>28<td>29<td>30<tr><td>2<td>10<td>2<td>4<td>3<td>2<td>2<td>2<td>3<td>4<td>2<td>2<td>2<td>2<td>2<tr><td>未<br>改<td>未<br>改<td>未<br>改<td>未<br>改<td>未<br>改<td>未<br>改<td>未<br>改<td>未<br>改<td>未<br>改<td>未<br>改<td>未<br>改<td>未<br>改<td>未<br>改<td>未<br>改<td>未<br>改<tr><td>31<td>32<td>33<td>34<td>35<td>36<td>37<td>38<td>39<tr><td>2<td>2<td>2<td>2<td>5<td>5<td>5<td>10<td>5<tr><td>未<br>改<td>未<br>改<td>未<br>改<td>未<br>改<td>未<br>改<td>未<br>改<td>未<br>改<td>未<br>改<td>未<br>改</table><br> 总得分：0 总分：0 百分制分数：NaN<hr><br>
<h2 class=section>A.回答下面问题</h2>
<p class=question>1. 因特网传输层的主要协议为<input id=_601-1_ name=_601-1_ class="input shorttext" type=text value=TCP readonly>和<input id=_601-2_ name=_601-2_ class="input shorttext" type=text value=UDP readonly> <br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
UDP，TCP</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_601>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_601>[0]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_601>[1]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>2. 如果有效载荷为TCP，IP数据报的协议字段的值是什么?<br>
<input id=_602-1_ name=_602-1_ class="input shorttext" type=text value=6 readonly><br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
6</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_602>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_602>[0]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_602>[1]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>3. 以下哪些关于UDP协议的陈述是对的：<br>
<input id=_603-1_ name=_603-1_ class=input type=checkbox value=false disabled>A.它提供了面向连接(connect-oriented)的服务.<br>
<input id=_603-2_ name=_603-1_ class=input type=checkbox value=true checked disabled>B.传送的数据段会丢失.<br>
<input id=_603-3_ name=_603-1_ class=input type=checkbox value=false disabled>C.具有保序性.<br>
<input id=_603-4_ name=_603-1_ class=input type=checkbox value=true checked disabled>D.负责在进程之间传送数据.<br>
<input id=_603-5_ name=_603-1_ class=input type=checkbox value=false disabled>E.接收进程收到的数据段数与接收缓冲区大小有关.<br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
BD</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_603>[1]</span></a> <a href=# class=sayQues>踩<span id=badcnt_603>[2]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_603>[19]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>4. 下面哪个部分被加入到UDP数据段的校验和中?<br>
<input id=_604-1_ name=_604-1_ class=input type=checkbox value=true checked disabled>A.UDP header(checksum filled with 0)<br>
<input id=_604-2_ name=_604-1_ class=input type=checkbox value=true checked disabled>B.UDP data<br>
<input id=_604-3_ name=_604-1_ class=input type=checkbox value=true checked disabled>C.Source IP address<br>
<input id=_604-4_ name=_604-1_ class=input type=checkbox value=true checked disabled>D.Dest IP address<br>
<input id=_604-5_ name=_604-1_ class=input type=checkbox value=false disabled>E.TTL(1B)and protocol(1B)<br>
<input id=_604-6_ name=_604-1_ class=input type=checkbox value=false disabled>F.Header CheckSum(2B)in IP Header<br>
<input id=_604-7_ name=_604-1_ class=input type=checkbox value=true checked disabled>G.0(1B)and protocol(1B) in IP Header<br>
<input id=_604-8_ name=_604-1_ class=input type=checkbox value=false disabled>H.Length(2B)in IP datatgram<br>
<input id=_604-9_ name=_604-1_ class=input type=checkbox value=true checked disabled>I.UDP Length(2B)<br>
<input id=_604-10_ name=_604-1_ class=input type=checkbox value=false disabled>J.Iden in IP datatgram(2B)<br>
<input id=_604-11_ name=_604-1_ class=input type=checkbox value=false disabled>K.flags(3b) and offset(13b) in IP datatgram<br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
A,B,C,D,G,I</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_604>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_604>[0]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_604>[1]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>5. 端口号1000是哪种类型的端口？<br>
<input id=_605-1_ name=_605-1_ class=input type=radio value=true checked disabled>A.well-known ports<br>
<input id=_605-2_ name=_605-1_ class=input type=radio value=false disabled>B.registered ports<br>
<input id=_605-3_ name=_605-1_ class=input type=radio value=false disabled>C.private ports<br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
A</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_605>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_605>[2]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_605>[1]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>6. TCP的紧急数据(urgent data)是带外数据，不属于字节流，true or false?<br>
<input id=_606-1_ name=_606-1_ class=input type=radio value=true checked disabled>A.true<br>
<input id=_606-2_ name=_606-1_ class=input type=radio value=false disabled>B.false<br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
A</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_606>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_606>[1]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_606>[14]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>7. 数据段中哪个标志可以令TCP协议把缓存数据立即发给接收进程?<br>
<input id=_607-1_ name=_607-1_ class=input type=radio value=false disabled>A.ack<br>
<input id=_607-2_ name=_607-1_ class=input type=radio value=false disabled>B.rst<br>
<input id=_607-3_ name=_607-1_ class=input type=radio value=true checked disabled>C.psh<br>
<input id=_607-4_ name=_607-1_ class=input type=radio value=false disabled>D.fin<br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
C</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_607>[1]</span></a> <a href=# class=sayQues>踩<span id=badcnt_607>[1]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_607>[1]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>8. 如果TCP连接出现错误，TCP协议将发送标志<input id=_608-1_ name=_608-1_ class="input shorttext" type=text value=RST readonly>为1的数据段，并立即结束连接.<br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
rst</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_608>[2]</span></a> <a href=# class=sayQues>踩<span id=badcnt_608>[1]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_608>[1]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>9. 以下哪个TCP会话是非对称的(asymmetric)?<br>
<input id=_609-1_ name=_609-1_ class=input type=radio value=true checked disabled>A.Establish connection<br>
<input id=_609-2_ name=_609-1_ class=input type=radio value=false disabled>B.Transfer Data<br>
<input id=_609-3_ name=_609-1_ class=input type=radio value=false disabled>C.Close Connection<br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
A</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_609>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_609>[3]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_609>[6]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>10. 对TCP连接而言，下面哪些叙述是正确的?<br>
<input id=_610-1_ name=_610-1_ class=input type=checkbox value=false disabled>A.TCP连接的一方接收的数据段数等于另一方发送的数据段数.<br>
<input id=_610-2_ name=_610-1_ class=input type=checkbox value=true checked disabled>B.一个进程可以与其它进程建立两个以上的TCP连接.<br>
<input id=_610-3_ name=_610-1_ class=input type=checkbox value=false disabled>C.一个TCP连接可以在三个或更多进程之间建立<br>
<input id=_610-4_ name=_610-1_ class=input type=checkbox value=false disabled>D.一个TCP连接的一方发送的数据段会按序到达另一方<br>
<input id=_610-5_ name=_610-1_ class=input type=checkbox value=false disabled>E.一个TCP连接提供无比特错的数据传送<br><br><br><span class=checkHalfCorrect>∼</span> 得分: <span class=check_showpoint>1分</span><br><textarea rows=10 cols=20 readonly>Answer:
BE
Explanation:
C.TCP连接只能在两个进程之间建立 A.D. 经过因特网可能会丢失和错序</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_610>[3]</span></a> <a href=# class=sayQues>踩<span id=badcnt_610>[1]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_610>[5]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>11. TCP协议的数据传送服务采用哪种工作方式?<br>
<input id=_611-1_ name=_611-1_ class=input type=radio value=false disabled>A.simplex<br>
<input id=_611-2_ name=_611-1_ class=input type=radio value=false disabled>B.half duplex<br>
<input id=_611-3_ name=_611-1_ class=input type=radio value=true checked disabled>C.full duplex<br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
C</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_611>[1]</span></a> <a href=# class=sayQues>踩<span id=badcnt_611>[1]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_611>[1]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>12. 建立TCP连接的三次握手使用的标志分别是什么? <br>
<input id=_612-1_ name=_612-1_ class="input shorttext" type=text value=SYN readonly>,<input id=_612-2_ name=_612-2_ class="input shorttext" type=text value=SYN+ACK readonly>,<input id=_612-3_ name=_612-3_ class="input shorttext" type=text value=ACK readonly><br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
SYN,SYN+ACK,ACK
Explanation:
SYN+ACK：SYN=1（同步标志）和ACK=1（表示确认号有效）</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_612>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_612>[1]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_612>[1]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>13. 下面哪些陈述对TCP连接的初始序号(initial sequence number,ISN)是对的?<br>
<input id=_613-1_ name=_613-1_ class=input type=checkbox value=true checked disabled>A.一般采用随机数.<br>
<input id=_613-2_ name=_613-1_ class=input type=checkbox value=true checked disabled>B.第一个数据段的序号为ISN+1.<br>
<input id=_613-3_ name=_613-1_ class=input type=checkbox value=false disabled>C.两个方向的ISN必须不同.<br>
<input id=_613-4_ name=_613-1_ class=input type=checkbox value=true checked disabled>D.SYN标志表示数据段包含ISN.<br>
<input id=_613-5_ name=_613-1_ class=input type=checkbox value=false disabled>E.ISN取值一般与系统时间无关.<br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
ABD</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_613>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_613>[2]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_613>[5]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>14. 下面哪四个元素决定了连接的唯一性? <br>
<input id=_614-1_ name=_614-1_ class=input type=checkbox value=true checked disabled>A.source port(TCP)<br>
<input id=_614-2_ name=_614-1_ class=input type=checkbox value=true checked disabled>B.destination port(TCP)<br>
<input id=_614-3_ name=_614-1_ class=input type=checkbox value=false disabled>C.protocol(IP)<br>
<input id=_614-4_ name=_614-1_ class=input type=checkbox value=false disabled>D.ttl(IP)<br>
<input id=_614-5_ name=_614-1_ class=input type=checkbox value=true checked disabled>E.source address(IP)<br>
<input id=_614-6_ name=_614-1_ class=input type=checkbox value=true checked disabled>F.destination address(IP)<br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
ABEF</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_614>[1]</span></a> <a href=# class=sayQues>踩<span id=badcnt_614>[1]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_614>[1]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>15. 主动发起关闭TCP连接的一方在关闭连接之前等待2MSL的原因是什么?<br>
<input id=_615-1_ name=_615-1_ class=input type=radio value=false disabled>A.恢复连接.<br>
<input id=_615-2_ name=_615-1_ class=input type=radio value=false disabled>B.防止两个连接发生冲突.<br>
<input id=_615-3_ name=_615-1_ class=input type=radio value=false disabled>C.等待接收TCP管道中的数据.<br>
<input id=_615-4_ name=_615-1_ class=input type=radio value=true checked disabled>D.等待该连接的数据在因特网中消失.<br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
D</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_615>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_615>[0]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_615>[0]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>16. 长度分别为360字节、600字节、600字节和512字节的四个数据段通过一个TCP连接连续传送. 如果第一个数据段的序号为8000,其它数据段的序号是多少？<br>
<input id=_616-1_ name=_616-1_ class="input shorttext" type=text value=8360 readonly> <input id=_616-2_ name=_616-2_ class="input shorttext" type=text value=8960 readonly> <input id=_616-3_ name=_616-3_ class="input shorttext" type=text value=9560 readonly><br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
8360 8960 9560</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_616>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_616>[1]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_616>[1]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>17. 下图为一个普通TCP连接的数据传送图（不使用Nagle Algorithm,Delayed ACK,Fast Retransmission,Slow start等）, 请填空.<br>
<img 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"><br>
(a)<input id=_617-1_ name=_617-1_ class="input shorttext" type=text value=9000 readonly><input id=_617-2_ name=_617-2_ class="input shorttext" type=text value=700 readonly><br>
(b)<input id=_617-3_ name=_617-3_ class="input shorttext" type=text value=9700 readonly><input id=_617-4_ name=_617-4_ class="input shorttext" type=text value=300 readonly><br>
(c)<input id=_617-5_ name=_617-5_ class="input shorttext" type=text value=9700 readonly><input id=_617-6_ name=_617-6_ class="input shorttext" type=text value=300 readonly><br>
(d)<input id=_617-7_ name=_617-7_ class="input shorttext" type=text value=10000 readonly><input id=_617-8_ name=_617-8_ class="input shorttext" type=text value=0 readonly><br>
(e)<input id=_617-9_ name=_617-9_ class="input shorttext" type=text value=10000 readonly><input id=_617-10_ name=_617-10_ class="input shorttext" type=text value=1000 readonly><br>
(f)<input id=_617-11_ name=_617-11_ class="input shorttext" type=text value=10000 readonly><input id=_617-12_ name=_617-12_ class="input shorttext" type=text value=700 readonly><br>
(g)<input id=_617-13_ name=_617-13_ class="input shorttext" type=text value=10700 readonly><input id=_617-14_ name=_617-14_ class="input shorttext" type=text value=300 readonly><br>
(h)<input id=_617-15_ name=_617-15_ class="input shorttext" type=text value=10700 readonly><input id=_617-16_ name=_617-16_ class="input shorttext" type=text value=300 readonly><br>
(i)<input id=_617-17_ name=_617-17_ class="input shorttext" type=text value=11000 readonly><input id=_617-18_ name=_617-18_ class="input shorttext" type=text value=0 readonly><br><span class=quespoints>(10 points)</span><br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>10分</span><br><textarea rows=10 cols=20 readonly>Answer:
(a)9000，700
(b)9700，300
(c)9700，300
(d)10000，0
(e)10000，1000
(f)10000，700
(g)10700，300
(h)10700，300
(i)11000，0</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_617>[8]</span></a> <a href=# class=sayQues>踩<span id=badcnt_617>[5]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_617>[8]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>18. 假设一个TCP连接的接收缓冲区大小为4600字节，如果该连接的一个AdvWin为<input id=_618-1_ name=_618-1_ class="input shorttext" type=text value=0 readonly>的确认到达后，紧接着AdvWin为<input id=_618-2_ name=_618-2_ class="input shorttext" type=text value=4600 readonly>的另一个确认丢失了，该连接会发生死锁现象。<br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
0 4600</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_618>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_618>[1]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_618>[0]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>19. 如何解决上题的死锁问题?<br>
<textarea id=_619-1_ name=_619-1_ class="input mytextarea" readonly>发送窗口变为0后，若发送方希望发送数据，则启动坚持定时器，定期从要发送的数据中取一个字节发出去，直到收到AdvWin不为0为止。</textarea><br><span class=quespoints>(4 points)</span><br><br><br><span>未批改</span><br><textarea rows=10 cols=20 readonly>Answer:
当发送方有数据要发送时定期发送一个字节给接收方直到收到窗口不为0的确认。</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_619>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_619>[1]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_619>[4]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>20. 在建立TCP连接, 发送方收到接收方的参数“MSS=500, Sequ#=10000, Win=1000”之后, 发送方每10毫秒发送两个字节. 如果使用Nagle算法并且RTT等于 42ms, 问该发送方发送前三个数据段的有效载荷分别有多少字节?<br>
<input id=_620-1_ name=_620-1_ class="input shorttext" type=text value=2 readonly><input id=_620-2_ name=_620-2_ class="input shorttext" type=text value=8 readonly><input id=_620-3_ name=_620-3_ class="input shorttext" type=text value=8 readonly><br><span class=quespoints>(3 points)</span><br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>3分</span><br><textarea rows=10 cols=20 readonly>Answer:
2 8 8</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_620>[1]</span></a> <a href=# class=sayQues>踩<span id=badcnt_620>[4]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_620>[8]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>21. 一个TCP连接的接收缓冲区大小为2000, 接收方提出的MSS为500。如果使用了Clark算法，在发送了AdvWin=0的确认之后，接收方空闲块的大小为多少字节时才发送下一个确认? <br>
<input id=_621-1_ name=_621-1_ class="input shorttext" type=text value=500 readonly><br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
至少为500
Explanation:
空闲块的大小到达接收缓冲区的一半或MSS</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_621>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_621>[1]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_621>[1]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>22. 对于快速重传(fast retransmission), 收到多少个对某个数据段序号的确认(表示期待接收该数据段)将触发数据的重传? <br>
<input id=_622-1_ name=_622-1_ class="input shorttext" type=text value=4 readonly><br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
4
Explanation:
重复收到3个，总共收到4个</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_622>[6]</span></a> <a href=# class=sayQues>踩<span id=badcnt_622>[9]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_622>[3]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>23. 只要发送或存在未确认的数据帧，就要启动超时定时器，true or false?<br>
<input id=_623-1_ name=_623-1_ class=input type=checkbox value=true checked disabled>A.A.true<br>
<input id=_623-2_ name=_623-1_ class=input type=checkbox value=false disabled>B.B.false<br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
A</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_623>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_623>[1]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_623>[3]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>24. 如果只有最后三个连续发送的数据段被丢失，其它数据段全部收到且RTT一直保持20ms, 从这三个数据段的第一个数据段发送开始计时，还需要多少时间(ms)才可以全部收到这三个数据段的确认? <br>
<input id=_624-1_ name=_624-1_ class="input shorttext" type=text value=200 readonly><br><span class=quespoints>(3 points)</span><br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>3分</span><br><textarea rows=10 cols=20 readonly>Answer:
200
Explanation:
20+20 + 40+20 + 80+20
= 40+60+100
= 200
一个TCP连接的发送方只有一个超时定时器，只针对未收到确认的第一个数据段启动。
karn算法：每次超时重传，timeoutInterval加倍；后续发送的数据段都采用当前的timeoutInterval，重传的数据段的ACK不用来计算timeoutInterval。</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_624>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_624>[4]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_624>[37]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>25. 采用Jacobson算法计算TCP会话的超时时间,如果EstimatedRTT=10ms, DevRTT=1ms, SampledRTT=20ms, 问：新的DevRTT、EstimatedRTT和TimeoutInteval分别为多少毫秒? <br>
<input id=_625-1_ name=_625-1_ class="input shorttext" type=text value=3.25 readonly><br>
<input id=_625-2_ name=_625-2_ class="input shorttext" type=text value=11.25 readonly><br>
<input id=_625-3_ name=_625-3_ class="input shorttext" type=text value=24.25 readonly><br><span class=quespoints>(4 points)</span><br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>4分</span><br><textarea rows=10 cols=20 readonly>Answer:
3.25 11.25 24.25
Explanation:
EstimatedRTT(new) = EstimatedRTT + a ×(SampleRTT- EstimatedRTT) a=1/8
DevRTT(new) =(1-b)*DevRTT + b*|SampleRTT- EstimatedRTT| (typically, b=1/4)
TimeoutInterval = EstimatedRTT(new) + 4*DevRTT(new)
===================================================
SampleRTT- EstimatedRTT = 10ms
EstimatedRTT(new) = 10ms + 1/8 * 10ms = 11.25ms
DevRTTRTT(new) = 3/4*1ms + 1/4 * 10ms = 3.25ms
TimeoutInterval = EstimatedRTT + 4*DevRTT = 11.25+4*3.25=24.25ms</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_625>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_625>[2]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_625>[1]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>26. 如果一个TCP数据段的传送在超时时间(30ms)内未收到确认, 重传数据段的超时时间应该设为多少毫秒? <br>
<input id=_626-1_ name=_626-1_ class="input shorttext" type=text value=60 readonly><br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
60</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_626>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_626>[0]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_626>[1]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>27. 如果window scale = 4 并且 advertisedWindow = 65534, SWS(Send Window Size)=? *不考虑CongWin.<br>
<input id=_627-1_ name=_627-1_ class="input shorttext" type=text value=1,048,544 readonly><br><br><br><span>未批改</span><br><textarea rows=10 cols=20 readonly>Answer:
1048544
Explanation:
AdvWin =65534*2^4 SWS=min{AdvWin,CongWin}=AdvWin
这里不考虑CongWin</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_627>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_627>[0]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_627>[2]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>28. TCP长肥管道中的同序号数据段应该采用什么选项区分它们? <br>
<input id=_628-1_ name=_628-1_ class=input type=checkbox value=false disabled>A.A.WinScale<br>
<input id=_628-2_ name=_628-1_ class=input type=checkbox value=false disabled>B.B.Selective Acknowledgement<br>
<input id=_628-3_ name=_628-1_ class=input type=checkbox value=false disabled>C.C.MSS<br>
<input id=_628-4_ name=_628-1_ class=input type=checkbox value=true checked disabled>D.D.timestamp<br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
D</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_628>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_628>[0]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_628>[0]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>29. 下面哪些陈述是正确的?<br>
<input id=_629-1_ name=_629-1_ class=input type=checkbox value=false disabled>A.A.Flow control prevents too many data from being sent into network.<br>
<input id=_629-2_ name=_629-1_ class=input type=checkbox value=true checked disabled>B.B.Congestion control prevents too many data from being sent into network.<br>
<input id=_629-3_ name=_629-1_ class=input type=checkbox value=true checked disabled>C.C.Flow control prevents too many data from being sent to receiver.<br>
<input id=_629-4_ name=_629-1_ class=input type=checkbox value=false disabled>D.D.Congestion control prevents too many data from being sent to receiver.<br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
BC</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_629>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_629>[0]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_629>[2]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>30. 如果AdvWin等于20000，CongWin等于1000, SWS(Sending Window Size)等于多少?<br>
<input id=_630-1_ name=_630-1_ class="input shorttext" type=text value=1000 readonly><br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
1000</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_630>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_630>[1]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_630>[1]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>31. 如果AIMD(Additive Increase Multiplicative Decrease)用于TCP连接的拥塞控制, 当发生拥塞时, CongWin=10MSS, 它的新的CongWin是多少?<input id=_631-1_ name=_631-1_ class="input shorttext" type=text value=5MSS readonly><br>
在4个RTT之后, 它的CongWin又是多少? <input id=_631-2_ name=_631-2_ class="input shorttext" type=text value=9MSS readonly><br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
5MSS 9MSS</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_631>[1]</span></a> <a href=# class=sayQues>踩<span id=badcnt_631>[0]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_631>[1]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>32. 假设Tahoe算法被用于TCP连接的拥塞控制, 当超时发生时, CongWin等于16MSS, 如果期间没有发生超时，在5个RTT之后CongWin是多少? <input id=_632-1_ name=_632-1_ class="input shorttext" type=text value=10MSS readonly><br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
10MSS
Explanation:
2mss，4Mss，8mss，9mss，10Mss</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_632>[1]</span></a> <a href=# class=sayQues>踩<span id=badcnt_632>[1]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_632>[6]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>33. 假设Reno算法(快速恢复算法)被用于TCP连接的拥塞控制, 当收到三个重复的ACK时, CongWin等于16MSS, 如果期间没有发生超时，在5个RTT之后CongWin是多少? <br>
<input id=_633-1_ name=_633-1_ class="input shorttext" type=text value=13MSS readonly><br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
13MSS
Explanation:
9MSS,10MSS,11MSS,12MSS,13MSS</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_633>[1]</span></a> <a href=# class=sayQues>踩<span id=badcnt_633>[0]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_633>[0]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>34. 发送FIN数据段的一方说明它不再发送任何数据了，true or false？<br>
<input id=_634-1_ name=_634-1_ class=input type=radio value=true checked disabled>A.true<br>
<input id=_634-2_ name=_634-1_ class=input type=radio value=false disabled>B.false<br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
A</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_634>[2]</span></a> <a href=# class=sayQues>踩<span id=badcnt_634>[2]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_634>[4]</span></a> <a href=# class=sayQues>问老师</a></p>
<br>
<p class=question>35. 请说明使用一次握手建立TCP连接会出现什么问题.<br>
<textarea id=_635-1_ name=_635-1_ class="input mytextarea" readonly>一次握手：客户端向服务器发出连接请求，然后立即认为连接建立成功。
如果这个连接请求丢失（丢包），那么服务器完全不知道有客户端正在连接自己，因此实际上根本就没有建立起连接，后续的数据发送等行为根本就不能保证。
即使请求没有丢失，如果服务器不向客户端确认，那么客户端和服务器就无法协商序号等信息，难以保证连接的可靠性。</textarea><br><span class=quespoints>(5 points)</span><br><br><br><span>未批改</span><br><textarea rows=10 cols=20 readonly>Answer:
只有一次握手的话，也就是说客户端只要发送了连接请求就认为TCP连接，也许服务器根本就不存在或者没打开。如果继续发送数据的话，浪费带宽。再说客户端也需要服务器传来的初始序号和很多选项，这个都做不到。</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_635>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_635>[0]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_635>[0]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>36. 请说明使用二次握手建立TCP连接会出现什么问题.<br>
(考虑恶意攻击的情况)<br>
<textarea id=_636-1_ name=_636-1_ class="input mytextarea" readonly>考虑请求滞留的情况。如果客户端向服务器发送SYN请求建立连接的包在网络中滞留，超时到达服务器，服务器并不知道发生了超时，因此服务器向客户端返回一个确认，然后服务器进入连接状态；而客户端早已因为超时而放弃了这个连接请求，即使收到了服务器发来的确认，也不会进入连接状态。因此客户端和服务器的状态不一致。
考虑恶意攻击的情况。如果使用两次握手，那么将会导致拒绝服务攻击（DoS）泛滥。攻击者可以伪造源IP地址，并向服务器快速地发送大量请求建立连接的数据包。服务器接收到了大量连接请求，必须回复确认，然后认为已经建立了连接，服务器将消耗大量的资源维护这些虚假的连接，而无法处理正常的连接请求。</textarea><br><span class=quespoints>(5 points)</span><br><br><br><span>未批改</span><br><textarea rows=10 cols=20 readonly>Answer:
只有两次握手的话，服务器可能会因为遭遇恶意攻击而瘫痪：客户端可以发送大量伪造源地址的连接请求，服务器确认后以为连接已经建立，最后会耗尽资源。（网上查询DoS攻击）</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_636>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_636>[0]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_636>[0]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>37. 请说明使用三次握手建立TCP连接不能避免恶意攻击的情况.<br>
<textarea id=_637-1_ name=_637-1_ class="input mytextarea" readonly>三次握手的攻击手段是分布式拒绝服务（DDoS），攻击者提前通过控制肉鸡的方式获得许多电脑的控制权，攻击时，许多不同IP的电脑同时向同一个服务器发送大量连接请求。每台参与攻击的电脑只需维护少量的连接，而服务器却要同时维护与大量电脑的连接，服务器将消耗大量的资源维护这些的连接，而无法处理正常的连接请求。所以收三次握手建立TCP连接仍然不能避免恶意攻击。</textarea><br><span class=quespoints>(5 points)</span><br><br><br><span>未批改</span><br><textarea rows=10 cols=20 readonly>Answer:
即使用三次握手，服务器也可能会因为遭遇恶意攻击而瘫痪，不过难度增加了很多。（网上查询DDoS攻击）</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_637>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_637>[2]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_637>[2]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>38. 在下图中，R1和R2为路由器，S1为二层交换机，S2为三层交换机并配置了VLAN10和VLAN20的虚接口。R1到R2为一个配置了IP地址并使用PPP协议的点到点网络，其它四个(VLAN10，VLAN20，R1~R10，R2~H5)子网都是以太网。如果所有主机、三层交换机和路由器都正确配置了接口的IP地址，三层交换机和路由器都启动了OSPF协议，R1的默认路由指向R10并被发布到OSPF协议，问：H1 ping H3、H1 ping H4、H1 ping H5时依次经过了哪些设备（主机和路由器）以及它们分别使用了以下哪种协议？<br>
*只用写单程，只考虑把IP分组从源主机传送至目的主机。<br>
*只写数字，中间不要加逗号或空格，例如：H1:9653 S1:132 S2:13 H3:8。（只是答案的格式例子，不针对任何问题）<br>
*ARP协议包含了获得MAC地址的整个过程，即不用写它使用的以太网协议和透明网桥算法。 <br>
*对于传送数据帧的双方，只需要在发送方写(2)和(3)。<br>
<img 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可选项：<br>
(1)透明网桥算法（带VLAN）<br>
(2)802.1Q协议（trunk）<br>
(3)以太网协议<br>
(4)ARP协议（IP地址为下一跳）<br>
(5)ARP协议（IP地址为IP分组的目的地址）<br>
(6)查询路由表<br>
(7)PPP协议<br>
(8)从收到的帧中取出IP分组<br>
(9)从上层收到IP分组<br>
H1 ping H3：<input id=_638-1_ name=_638-1_ class="input longtext" type=text value="H1:9653 S1:123 S2:13 H3:8" readonly><br>
H1 ping H4：<input id=_638-2_ name=_638-2_ class="input longtext" type=text value="H1:9653 S1:123 S2:8653 H4:8" readonly><br>
H1 ping H5：<input id=_638-3_ name=_638-3_ class="input longtext" type=text value="H1:9653 S1:123 S2:86423 S1:13 R1:8647 R2:8653 H5:8" readonly><br><span class=quespoints>(10 points)</span><br><br><br><span>未批改</span><br><textarea rows=10 cols=20 readonly>Answer:
转发数据包或ARP协议时，只要发送出去，都要封装成帧。如果转出去的接口是以太网，则要封装成802.3的帧，并用CSMA/CD从物理层发送出去。答案省略了所有以太网协议(3)。
H1 ping H3 => H1:965 S1:12 S2:21 H3:8
H1 ping H4 => H1:964 S1:12 S2:2865 H4:8
H1 ping H5 => H1:964 S1:12 S2:28642 S1:21 R1:867 R2:7865 H5:8
Explanation:
（9）从上层收到IP分组
改为
（9）网络层从上层收到数据并封装为IP分组
最后一问把接收方的以太网、802.1Q也加入了。 </textarea><br><a href=# class=sayQues>赞<span id=goodcnt_638>[6]</span></a> <a href=# class=sayQues>踩<span id=badcnt_638>[1]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_638>[39]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>39. 接上题，增加两个可选项，H1 ping 外网IP地址时依次使用了以下哪种协议？（只用写单程，只用考虑到R10转发出去，不必考虑后续转发步骤）<br>
(10)匹配了默认路由<br>
(11)NAT<br>
H1 ping 外网地址：<input id=_639-1_ name=_639-1_ class="input longtext" type=text value="H1:9653 S1:123 S2:86423 S1:13 R1:86(10)(11)4" readonly><br><span class=quespoints>(5 points)</span><br><br><br><span>未批改</span><br><textarea rows=10 cols=20 readonly>Answer:
10用A表示 11用B表示。省略了所有以太网CSMA/CD （3）
H1:964 S1:12 S2:286A42 S1:21 R1:86AB4 R10:86A... </textarea><br><a href=# class=sayQues>赞<span id=goodcnt_639>[1]</span></a> <a href=# class=sayQues>踩<span id=badcnt_639>[7]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_639>[28]</span></a> <a href=# class=sayQues>问老师</a></p></div><div class=buttons> <input type=button class=hwdo_exit name=__exit__ id=__exit2__ value=退出><span id=readonly style=display:none></span></div></div><br>
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