-
Notifications
You must be signed in to change notification settings - Fork 13
/
Copy path作业1.html
332 lines (310 loc) · 135 KB
/
作业1.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
<!DOCTYPE html> <html lang=en xml:lang=en xmlns=http://www.w3.org/1999/xhtml style><!--
Page saved with SingleFile
url: http://abc.sysu.work/Homework/hwDoHomework.aspx?hw=hw1&showChecks=
saved date: Sat Jul 06 2019 20:25:39 GMT+0800 (中国标准时间)
--><head id=ctl00_Head1><meta charset=utf-8><style>a:link,a:visited{color:blue;text-decoration:none;font-size:24px}p{font-size:24px;margin-left:2em;color:black;padding-left:.5em;text-indent:-1em;padding-right:.5em;margin-bottom:10px}table{margin-left:2em}h2{font-size:32px;color:black;font-weight:bold}textarea{height:200px}input,textarea{margin:2px;font-size:18px;color:#030648}td{padding:4px}textarea{width:600px}input[type="text"]{width:180px}input.midtext{width:360px}input.longtext{width:640px}div.container{width:1000px;margin:0 auto}div.main{border:solid 1px black;padding:10px}div.buttons{text-align:center;padding:12px}span.hwstateabnormal{color:blue;font-weight:bold}span.checkCorrect{color:blue}span.checkError{color:red}a.sayQues{color:lightcoral;font-size:smaller}span.check_showpoint{color:#3c9}.points,.points td{border:1px solid grey;border-collapse:collapse}.points tr:nth-child(3n+1){background-color:#EEE}</style><title>
小溪网--中山大学17计算机网络--做作业: 作业1
</title><link type=image/x-icon rel="shortcut icon" href="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw=="></head>
<body style=text-align:left;font-size:24px class=vsc-initialized>
<form method=post action="./hwDoHomework.aspx?hw=hw1&showChecks=" id=aspnetForm>
<div class=aspNetHidden>
</div>
<div class=aspNetHidden>
</div>
<div>
<br>
<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1<p>作业描述:概述
* 有些浏览器会有问题,要做一题试一下,看是否保存了。
<p>开始时间:2019/3/10 10:50:00<p>截止时间:2019/3/18 22:59:59<p>作业状态:<span class=hwstateabnormal>已截止</span><p>未完成题数:0 总题数:49<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>4<td>2<td>2<td>2<td>2<tr><td>2<td>2<td>2<td>2<td>2<td>2<td>2<td>2<td>2<td>2<td>4<td>2<td>2<td>2<td>2<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>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>0<td>2<td>2<td>2<td>2<td>2<td>2<td>2<td>2<td>2<td>2<td>0<td>2<td>2<td>0<tr><td>31<td>32<td>33<td>34<td>35<td>36<td>37<td>38<td>39<td>40<td>41<td>42<td>43<td>44<td>45<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>2<td>0<td>2<td>2<td>未<br>改<td>2<td>2<td>2<td>2<td>2<td>2<td>2<td>2<td>2<td>2<tr><td>46<td>47<td>48<td>49<tr><td>2<td>2<td>2<td>2<tr><td>2<td>2<td>2<td>2</table><br> 总得分:90 总分:98 百分制分数:92<hr><br>
<p>* 如果有不同解析,以老师的PPT为准。</p><br>
<p>* C(n,m)表示组合(n个中选m个)</p><br>
<p>* n^m表示n的m次方 </p><br>
<p>* S(x=n to m)(...)表示x从n到m求和 * I(n to m)(...)表示从n到m的积分</p><br>
<br>
<h2 class=section>A.请完成下面题目(每题两分)</h2>
<p class=question>1. 下面图中从主机A到主机B有多少经过多少个直连网?<br>
<img src="data:image/jpeg;base64,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"><br>
<input id=_101-1_ name=_101-1_ class=input type=radio value=true checked disabled>A. 3 <br>
<input id=_101-2_ name=_101-1_ class=input type=radio value=false disabled>B. 4<br>
<input id=_101-3_ name=_101-1_ class=input type=radio value=false disabled>C. 5<br>
<input id=_101-4_ name=_101-1_ class=input type=radio value=false disabled>D. 6<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_101>[25]</span></a> <a href=# class=sayQues>踩<span id=badcnt_101>[15]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_101>[70]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>2. 无线电台使用了哪种多路复用技术?<br>
<input id=_102-1_ name=_102-1_ class=input type=radio value=false disabled>A. Time Division Multiplexing<br>
<input id=_102-2_ name=_102-1_ class=input type=radio value=true checked disabled>B. Frequency Division Multiplexing<br>
<input id=_102-3_ name=_102-1_ class=input type=radio value=false disabled>C. Statistic Multiplexing<br>
<input id=_102-4_ name=_102-1_ class=input type=radio value=false disabled>D. Code Division Multiplexing<br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
B</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_102>[5]</span></a> <a href=# class=sayQues>踩<span id=badcnt_102>[11]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_102>[24]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>3. 哪种网络一般采用多路访问链路?<br>
<input id=_103-1_ name=_103-1_ class=input type=radio value=false disabled>A. SAN<br>
<input id=_103-2_ name=_103-1_ class=input type=radio value=true checked disabled>B. LAN<br>
<input id=_103-3_ name=_103-1_ class=input type=radio value=false disabled>C. MAN<br>
<input id=_103-4_ name=_103-1_ class=input type=radio value=false disabled>D. WAN<br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
B</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_103>[7]</span></a> <a href=# class=sayQues>踩<span id=badcnt_103>[7]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_103>[40]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>4. 多播的通信方式是指什么?<br>
<input id=_104-1_ name=_104-1_ class=input type=radio value=false disabled>A.一对一<br>
<input id=_104-2_ name=_104-1_ class=input type=radio value=true checked disabled>B.一对多<br>
<input id=_104-3_ name=_104-1_ class=input type=radio value=false disabled>C.一对所有<br>
<input id=_104-4_ name=_104-1_ class=input type=radio value=false disabled>D.多对一<br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
B</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_104>[3]</span></a> <a href=# class=sayQues>踩<span id=badcnt_104>[2]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_104>[1]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>5. 每个时刻一个站点发送一个站点接收的通信方式是指什么?<br>
<input id=_105-1_ name=_105-1_ class=input type=radio value=false disabled>A.multicast<br>
<input id=_105-2_ name=_105-1_ class=input type=radio value=true checked disabled>B.unicast<br>
<input id=_105-3_ name=_105-1_ class=input type=radio value=false disabled>C.broadcast<br>
<input id=_105-4_ name=_105-1_ class=input type=radio value=false disabled>D.anycast<br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
B</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_105>[3]</span></a> <a href=# class=sayQues>踩<span id=badcnt_105>[3]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_105>[13]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>6. 把许多网络连成的网络称为什么?<br>
<input id=_106-1_ name=_106-1_ class=input type=radio value=true checked disabled>A.internetwork<br>
<input id=_106-2_ name=_106-1_ class=input type=radio value=false disabled>B.the Internet<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_106>[6]</span></a> <a href=# class=sayQues>踩<span id=badcnt_106>[6]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_106>[14]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>7. 通常使用以下哪种设备连接多个网络来形成更大的网络?<br>
<input id=_107-1_ name=_107-1_ class=input type=radio value=false disabled>A.hosts<br>
<input id=_107-2_ name=_107-1_ class=input type=radio value=false disabled>B.cellphones<br>
<input id=_107-3_ name=_107-1_ class=input type=radio value=true checked disabled>C.routers<br>
<input id=_107-4_ name=_107-1_ class=input type=radio value=false disabled>D.repeaters<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_107>[5]</span></a> <a href=# class=sayQues>踩<span id=badcnt_107>[1]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_107>[3]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>8. 电话使用了以下哪种传输方式?<br>
<input id=_108-1_ name=_108-1_ class=input type=radio value=true checked disabled>A.full-duplex<br>
<input id=_108-2_ name=_108-1_ class=input type=radio value=false disabled>B.half-duplex<br>
<input id=_108-3_ name=_108-1_ class=input type=radio value=false disabled>C.simplex<br>
<input id=_108-4_ name=_108-1_ class=input type=radio value=false disabled>D.none<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_108>[4]</span></a> <a href=# class=sayQues>踩<span id=badcnt_108>[3]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_108>[11]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>9. 实验室一般采用以下哪种连网方式?<br>
<input id=_109-1_ name=_109-1_ class=input type=radio value=false disabled>A.SAN<br>
<input id=_109-2_ name=_109-1_ class=input type=radio value=true checked disabled>B.LAN<br>
<input id=_109-3_ name=_109-1_ class=input type=radio value=false disabled>C.MAN<br>
<input id=_109-4_ name=_109-1_ class=input type=radio value=false disabled>D.WAN<br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
B</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_109>[2]</span></a> <a href=# class=sayQues>踩<span id=badcnt_109>[2]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_109>[5]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>10. 因特网属于以下哪种网络?<br>
<input id=_110-1_ name=_110-1_ class=input type=radio value=false disabled>A.SAN<br>
<input id=_110-2_ name=_110-1_ class=input type=radio value=false disabled>B.LAN<br>
<input id=_110-3_ name=_110-1_ class=input type=radio value=false disabled>C.MAN<br>
<input id=_110-4_ name=_110-1_ class=input type=radio value=true checked disabled>D.WAN<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_110>[2]</span></a> <a href=# class=sayQues>踩<span id=badcnt_110>[1]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_110>[0]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>11. 下面的电信模式分别使用了什么服务类型? (填可选项的字母)<br>
普通邮件 <input id=_111-1_ name=_111-1_ class="input shorttext" type=text value=C readonly><br>
电话 <input id=_111-2_ name=_111-2_ class="input shorttext" type=text value=B readonly><br>
快件 <input id=_111-3_ name=_111-3_ class="input shorttext" type=text value=A readonly><br>
<br>
可选项:A.无连接有确认服务;B.面向连接的服务;C.尽力服务(无连接无确认)<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:
CBA</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_111>[4]</span></a> <a href=# class=sayQues>踩<span id=badcnt_111>[8]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_111>[39]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>12. 手机属于因特网的哪个部分?<br>
<input id=_112-1_ name=_112-1_ class=input type=radio value=true checked disabled>A.end systems<br>
<input id=_112-2_ name=_112-1_ class=input type=radio value=false disabled>B.communication links<br>
<input id=_112-3_ name=_112-1_ class=input type=radio value=false disabled>C.routers<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_112>[5]</span></a> <a href=# class=sayQues>踩<span id=badcnt_112>[2]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_112>[3]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>13. WiFi属于以下哪个部分?<br>
<input id=_113-1_ name=_113-1_ class=input type=radio value=false disabled>A.network core<br>
<input id=_113-2_ name=_113-1_ class=input type=radio value=true checked disabled>B.access network<br>
<input id=_113-3_ name=_113-1_ class=input type=radio value=false disabled>C.network edge<br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
B
Explanation:
network core -- 主干网
access network -- 接入网
network edge -- 网络边界(主机及网络程序)</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_113>[12]</span></a> <a href=# class=sayQues>踩<span id=badcnt_113>[10]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_113>[32]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>14. 电话系统使用了以下哪种交换方式?<br>
<input id=_114-1_ name=_114-1_ class=input type=radio value=true checked disabled>A.circuit switching<br>
<input id=_114-2_ name=_114-1_ class=input type=radio value=false disabled>B.packet switching<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_114>[4]</span></a> <a href=# class=sayQues>踩<span id=badcnt_114>[4]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_114>[3]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>15. 与电路交换技术相比,以下哪些是包交换技术的特点?<br>
<input id=_115-1_ name=_115-1_ class=input type=checkbox value=false disabled>A. 可以确保数据流带宽<br>
<input id=_115-2_ name=_115-1_ class=input type=checkbox value=true checked disabled>B. 可能引起网络拥塞<br>
<input id=_115-3_ name=_115-1_ class=input type=checkbox value=true checked disabled>C. 适合发送突发数据<br>
<input id=_115-4_ name=_115-1_ class=input type=checkbox value=false disabled>D. 有呼叫建立过程<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_115>[6]</span></a> <a href=# class=sayQues>踩<span id=badcnt_115>[10]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_115>[114]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>16. 如果有8个速率相同的数据流,且它们速率之和小于且接近一条链路的带宽,与用8个通道(channel)的TDM或FDM传送它们相比,采用统计多路复用技术的带宽利用率(传送有效数据的比率)怎么样?<br>
<input id=_116-1_ name=_116-1_ class=input type=radio value=true checked disabled>A.更好<br>
<input id=_116-2_ name=_116-1_ class=input type=radio value=false disabled>B.更差<br>
<input id=_116-3_ name=_116-1_ class=input type=radio value=false disabled>C.一样<br>
<input id=_116-4_ name=_116-1_ class=input type=radio value=false disabled>D.不一定<br><br><br><span class=checkError>×</span> 得分: <span class=check_showpoint>0分</span><br><textarea rows=10 cols=20 readonly>Answer:
B
Explanation:
都可以用完整个带宽,只是统计复用技术需要地址,因此会差一点</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_116>[12]</span></a> <a href=# class=sayQues>踩<span id=badcnt_116>[18]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_116>[156]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>17. 一般网络体系结构(OSI参考模型)和TCP/IP体系结构分别把网络协议分为几层?<br>
<input id=_117-1_ name=_117-1_ class="input shorttext" type=text value=7 readonly><input id=_117-2_ name=_117-2_ class="input shorttext" type=text value=5 readonly>(填数字)。<br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
OSI-7,TCP/IP-4或5
Explanation:
OSI参考模型中的七层协议的会话层和表达层在TCP/IP体系结构都放在应用层,如果再把链路层和物理层放在物理网络层,加上网络层和传输层,TCP/IP体系结构就是四层。如果链路层和物理层分开看就是五层。最低两层可以合并起来看是因为TCP/IP协议并不定义链路层和物理层的协议。</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_117>[12]</span></a> <a href=# class=sayQues>踩<span id=badcnt_117>[6]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_117>[9]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>18. 结点到结点(node-to-node)或跳到跳(hop-by-hop)、主机到主机(host-to-host)和端到端(end-to-end)的传输分别由哪层完成?<br>
<input id=_118-1_ name=_118-1_ class="input shorttext" type=text value=数据链路层 readonly><input id=_118-2_ name=_118-2_ class="input shorttext" type=text value=网络层 readonly><input id=_118-3_ name=_118-3_ class="input shorttext" type=text value=传输层 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:
数据链路层,网络层,传输层
Explanation:
数据链路层完成结点到结点(node-to-node)的数据传输,就是从一个节点通过直连网把数据传送到另一个节点,也称为实现跳到跳(hop-by-hop)的数据传送。网络层完成主机到主机(host-to-host)的数据传输,就是可以把数据从网络中的一台主机传送到网络中的另一台主机。把数据传到主机还不行,还需要传送到进程,这是由传输层完成的,如果把进程看成整个数据传送的末端,则传输层实现了端到端的传送。</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_118>[4]</span></a> <a href=# class=sayQues>踩<span id=badcnt_118>[5]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_118>[4]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>19. 数据链路层负责什么工作?<br>
<input id=_119-1_ name=_119-1_ class=input type=radio value=false disabled>A.routing<br>
<input id=_119-2_ name=_119-1_ class=input type=radio value=false disabled>B.transfering bit stream on a wire<br>
<input id=_119-3_ name=_119-1_ class=input type=radio value=true checked disabled>C.transfering packets in a physical network<br>
<input id=_119-4_ name=_119-1_ class=input type=radio value=false disabled>D.transfering data between processes<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_119>[1]</span></a> <a href=# class=sayQues>踩<span id=badcnt_119>[2]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_119>[5]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>20. 加密解密是OSI参考模型的哪一层的功能?<br>
<input id=_120-1_ name=_120-1_ class=input type=radio value=false disabled>A.Network<br>
<input id=_120-2_ name=_120-1_ class=input type=radio value=true checked disabled>B.Presentation<br>
<input id=_120-3_ name=_120-1_ class=input type=radio value=false disabled>C.Transport<br>
<input id=_120-4_ name=_120-1_ class=input type=radio value=false disabled>D.Session<br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
B</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_120>[2]</span></a> <a href=# class=sayQues>踩<span id=badcnt_120>[1]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_120>[1]</span></a> <a href=# class=sayQues>问老师</a></p>
<br>
<p class=question>21. FTP协议属于OSI参考模型的哪一层?<br>
<input id=_121-1_ name=_121-1_ class=input type=radio value=false disabled>A.Transport<br>
<input id=_121-2_ name=_121-1_ class=input type=radio value=true checked disabled>B.Application<br>
<input id=_121-3_ name=_121-1_ class=input type=radio value=false disabled>C.Presentation<br>
<input id=_121-4_ name=_121-1_ class=input type=radio value=false disabled>D.Network<br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
B</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_121>[1]</span></a> <a href=# class=sayQues>踩<span id=badcnt_121>[1]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_121>[5]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>22. 因特网的传输层、网络层、数据链路层的数据包的专用名称分别是什么?(填可选项的字母)<br>
<input id=_122-1_ name=_122-1_ class="input shorttext" type=text value=B readonly> <input id=_122-2_ name=_122-2_ class="input shorttext" type=text value=D readonly> <input id=_122-3_ name=_122-3_ class="input shorttext" type=text value=A readonly><br>
可选项: A.frame B.segment C.bit D.datagram<br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
BDA</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_122>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_122>[1]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_122>[1]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>23. OSI模型的哪一层负责多个数据流同步?<br>
<input id=_123-1_ name=_123-1_ class=input type=radio value=false disabled>A.Network<br>
<input id=_123-2_ name=_123-1_ class=input type=radio value=false disabled>B.Transport<br>
<input id=_123-3_ name=_123-1_ class=input type=radio value=true checked disabled>C.Session<br>
<input id=_123-4_ name=_123-1_ class=input type=radio value=false disabled>D.Presentation<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_123>[2]</span></a> <a href=# class=sayQues>踩<span id=badcnt_123>[3]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_123>[8]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>24. 一条链路的带宽(bandwidth)一定大于等于其吞吐量(throughput),这句话是否正确?<br>
<input id=_124-1_ name=_124-1_ class=input type=radio value=true checked disabled>A.正确<br>
<input id=_124-2_ name=_124-1_ class=input type=radio value=false disabled>B.错误<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_124>[3]</span></a> <a href=# class=sayQues>踩<span id=badcnt_124>[1]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_124>[6]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>25. 对等实体之间传输的数据包简称为什么?<br>
<input id=_125-1_ name=_125-1_ class=input type=radio value=false disabled>A.PCI<br>
<input id=_125-2_ name=_125-1_ class=input type=radio value=false disabled>B.SAP<br>
<input id=_125-3_ name=_125-1_ class=input type=radio value=true checked disabled>C.PDU<br>
<input id=_125-4_ name=_125-1_ class=input type=radio value=false disabled>D.SDU<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
Explanation:
对等实体(peer entity)指实现了同一个协议的软件或硬件。PCI(Protocol Control Information)是PDU(Protocol Data Unit)的头部,包含协议有关的信息。下层把上层通过SAP(Service Access Point)传来的SDU(Service Data Unit)用PCI封装为PDU后传给对等实体。</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_125>[6]</span></a> <a href=# class=sayQues>踩<span id=badcnt_125>[3]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_125>[13]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>26. 因特网的三个组成部分为end system,<input id=_126-1_ name=_126-1_ class="input midtext" type=text value="communication link" readonly>和<input id=_126-2_ name=_126-2_ class="input midtext" type=text value=router 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:
communication links,routers</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_126>[2]</span></a> <a href=# class=sayQues>踩<span id=badcnt_126>[4]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_126>[9]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>27. 一条点到点链路长200公里,传播速度为2×10^8米/秒。如果发送一个100字节的包,以多少带宽(bps)它的传播延迟(propagation delay)会等于其传输延迟(transmit delay)?(只写最后结果,单位为Kbps)<br>
<input id=_127-1_ name=_127-1_ class="input shorttext" type=text value=100 readonly><br><br><br><span class=checkError>×</span> 得分: <span class=check_showpoint>0分</span><br><textarea rows=10 cols=20 readonly>Answer:
800
Explanation:
8 * 100 / X(bps) = 200*1000/(2×10^8)= 1 / 1000
X = 800000bps = 800Kbps</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_127>[4]</span></a> <a href=# class=sayQues>踩<span id=badcnt_127>[2]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_127>[20]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>28. 一条点到点链路长200公里,传播速度为2×10^8米/秒,带宽为100Mbps。发送一个20000比特的包通过该链路需要多长时间(ms)? 考虑从第一位发送到收到最后一位的时间。(只填最后结果的数值,单位为ms)<br>
<input id=_128-1_ name=_128-1_ class="input shorttext" type=text value=1.2 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:
1.2
Explanation:
200000/200000000+20000/100000000=1ms+0.2ms = 1.2ms</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_128>[3]</span></a> <a href=# class=sayQues>踩<span id=badcnt_128>[3]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_128>[16]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>29. 如果一个长度为3000字节的文件用一个数据包从源主机通过一段链路传给了一个交换机(采用store-and-forward方式),然后再通过第二段链路到达目的主机。如果在包交换机的延迟为2ms, 两条链路上的传播延迟都是2×10^8米/秒,带宽都是1Mbps, 长度都是6,000公里。问这个文件在这两台主机之间的总延迟是多少?<br>
<input id=_129-1_ name=_129-1_ class="input shorttext" type=text value=110ms 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:
110ms
Explanation:
(3000*8/1000000 s + 6000000/2*10^8 s)* 2 + 2ms
= (24ms+30ms)*2+2ms = 110 ms</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_129>[2]</span></a> <a href=# class=sayQues>踩<span id=badcnt_129>[2]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_129>[41]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>30. 如果把上面题目中的文件分成10个数据包。问传送这个文件的整个延迟是多少? <br>
<input id=_130-1_ name=_130-1_ class="input shorttext" type=text value=86.4ms readonly><br><br><br><span class=checkError>×</span> 得分: <span class=check_showpoint>0分</span><br><textarea rows=10 cols=20 readonly>Answer:
88.4ms
Explanation:
第一个包的整个延迟+剩余包的接收延迟(或发送延迟)
*-----+-----& + 2ms
*-----+-----& * 发送延迟
*-----+-----& & 接收延迟
*-----+-----& - 传播延迟
300*8/1000000 * 2 s + 2ms + 6000000/2*10^8*2 s + 9 * 300*8/1000000 s = 11*2.4ms + 2ms+ 60ms = 88.4ms</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_130>[15]</span></a> <a href=# class=sayQues>踩<span id=badcnt_130>[9]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_130>[136]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>31. 如果在上面题目中,只采用一个包发送整个文件,并且包交换机不采用存储转发技术(收到整个包才转发)而采用收到一位立即转发一位。问传送这个文件的整个延迟是多少?<br>
<input id=_131-1_ name=_131-1_ class="input shorttext" type=text value=84ms 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:
84ms
Explanation:
整个文件的发送延迟+传播延迟+1位转发延迟(忽略)
3000*8/1000000 s + 6000000/2*10^8 s * 2
= 24ms+30ms*2 = 84ms</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_131>[4]</span></a> <a href=# class=sayQues>踩<span id=badcnt_131>[8]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_131>[80]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>32. 什么是模拟信号?<br>
<input id=_151-1_ name=_151-1_ class=input type=radio value=true checked disabled>A.signal with continuous information<br>
<input id=_151-2_ name=_151-1_ class=input type=radio value=false disabled>B.signal with digital information<br>
<input id=_151-3_ name=_151-1_ class=input type=radio value=false disabled>C.discrete signal<br>
<input id=_151-4_ name=_151-1_ class=input type=radio value=false disabled>D.signal with continuous waveform.<br><br><br><span class=checkError>×</span> 得分: <span class=check_showpoint>0分</span><br><textarea rows=10 cols=20 readonly>Answer:
D</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_151>[2]</span></a> <a href=# class=sayQues>踩<span id=badcnt_151>[8]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_151>[8]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>33. 下面哪种编码同时调制了相位和振幅?<br>
<input id=_163-1_ name=_163-1_ class=input type=radio value=false disabled>A.ASK<br>
<input id=_163-2_ name=_163-1_ class=input type=radio value=false disabled>B.PSK<br>
<input id=_163-3_ name=_163-1_ class=input type=radio value=true checked disabled>C.QAM<br>
<input id=_163-4_ name=_163-1_ class=input type=radio value=false disabled>D.FSK<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_163>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_163>[1]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_163>[1]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>34. 时钟漂移主要是因为什么原因引起的?<br>
<input id=_162-1_ name=_162-1_ class=input type=checkbox value=false disabled>A.发送方和接收方使用了相同的时钟信号<br>
<input id=_162-2_ name=_162-1_ class=input type=checkbox value=false disabled>B.发送时短时间就会出现校正信号<br>
<input id=_162-3_ name=_162-1_ class=input type=checkbox value=true checked disabled>C.发送方和接收方使用了不同的时钟信号<br>
<input id=_162-4_ name=_162-1_ class=input type=checkbox value=true checked disabled>D.发送时长时间没有包含校正信号<br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
CD</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_162>[5]</span></a> <a href=# class=sayQues>踩<span id=badcnt_162>[1]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_162>[5]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>35. 基线漂移主要是因为什么原因引起的?<br>
<textarea id=_157-1_ name=_157-1_ class="input mytextarea" readonly>由于信号线上长时间传输连续的0或连续的1,导致电荷在线路上积累,电容寄生,是可能导致基线偏正或偏负的原因。</textarea><br><br><br><span>未批改</span><br><textarea rows=10 cols=20 readonly>Answer:
长时间传输相同电平的信号导致链路上的同种电荷不断累积,最后导致信号整体偏离了基准线。</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_157>[5]</span></a> <a href=# class=sayQues>踩<span id=badcnt_157>[3]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_157>[3]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>36. 下面哪种编码可以克服时钟漂移和基线漂移?<br>
<input id=_158-1_ name=_158-1_ class=input type=radio value=false disabled>A.单级编码<br>
<input id=_158-2_ name=_158-1_ class=input type=radio value=false disabled>B.PSK<br>
<input id=_158-3_ name=_158-1_ class=input type=radio value=false disabled>C.不归零反转编码<br>
<input id=_158-4_ name=_158-1_ class=input type=radio value=true checked disabled>D.曼彻斯特编码<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_158>[2]</span></a> <a href=# class=sayQues>踩<span id=badcnt_158>[0]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_158>[1]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>37. 利用起始是否跳变区分0和1而且中间必须跳变的编码是哪种?<br>
<input id=_159-1_ name=_159-1_ class=input type=radio value=false disabled>A.不归零编码<br>
<input id=_159-2_ name=_159-1_ class=input type=radio value=true checked disabled>B.差分曼彻斯特编码<br>
<input id=_159-3_ name=_159-1_ class=input type=radio value=false disabled>C.不归零反转编码<br>
<input id=_159-4_ name=_159-1_ class=input type=radio value=false disabled>D.曼彻斯特编码<br><br><br><span class=checkCorrect>√</span> 得分: <span class=check_showpoint>2分</span><br><textarea rows=10 cols=20 readonly>Answer:
B</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_159>[1]</span></a> <a href=# class=sayQues>踩<span id=badcnt_159>[0]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_159>[0]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>38. 如果二进制数据10011001的曼彻斯特编码的数字信号用0110100101101001(1和0分别表示正电压和负电压信号,并持续相同时间长度)表示,问:10101100的曼彻斯特编码的数字信号表示是什么(中间不要加空格和其他符号)?<br>
<input id=_160-1_ name=_160-1_ class="input longtext" type=text value=0110011001011010 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:
0110011001011010</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_160>[2]</span></a> <a href=# class=sayQues>踩<span id=badcnt_160>[0]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_160>[0]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>39. 如果采用与上题类似的方法表示差分曼彻斯特编码,并且从高电平开始,二进制数据10101100的差分曼彻斯特编码的数字信号表示是什么(中间不要加空格和其他符号)?<br>
<input id=_161-1_ name=_161-1_ class="input longtext" type=text value=1010010110010101 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:
1010010110010101</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_161>[1]</span></a> <a href=# class=sayQues>踩<span id=badcnt_161>[0]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_161>[3]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>40. 要发送的数据采用4B/5B编码最多会出现多少个连续0?<input id=_164-1_ name=_164-1_ class="input shorttext" type=text value=3 readonly> 二进制数据1001100110101100的4B/5B编码是什么(中间不要加空格和其他符号)?<br>
<input id=_164-2_ name=_164-2_ class="input longtext" type=text value=10011100111011011010 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:
3,10011100111011011010</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_164>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_164>[1]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_164>[2]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>41. 网络传输主要会使用哪些有线物理介质?<br>
<input id=_152-1_ name=_152-1_ class="input longtext" type=text value=双绞线(非屏蔽双绞线和屏蔽双绞线)、同轴电缆、光导纤维等。 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:
双绞线, 同轴电缆, 光纤</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_152>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_152>[1]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_152>[0]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>42. 光纤传输利用了光的什么特性?<br>
<input id=_153-1_ name=_153-1_ class=input type=radio value=false disabled>A.reflection<br>
<input id=_153-2_ name=_153-1_ class=input type=radio value=false disabled>B.refraction<br>
<input id=_153-3_ name=_153-1_ class=input type=radio value=true checked disabled>C.total reflection<br>
<input id=_153-4_ name=_153-1_ class=input type=radio value=false disabled>D.total refraction<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_153>[2]</span></a> <a href=# class=sayQues>踩<span id=badcnt_153>[4]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_153>[1]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>43. 下面哪种光纤具有最大的数据传输速率?<br>
<input id=_154-1_ name=_154-1_ class=input type=radio value=true checked disabled>A.single-mode fiber (单模光纤)<br>
<input id=_154-2_ name=_154-1_ class=input type=radio value=false disabled>B.step-index multimode fiber(阶跃多模光纤)<br>
<input id=_154-3_ name=_154-1_ class=input type=radio value=false disabled>C.graded-index multimode fiber(渐变多模光纤)<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_154>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_154>[1]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_154>[3]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>44. 下面哪种非屏蔽双绞线(unshielded twisted pair, UTP)最适合千兆以太网使用?<br>
<input id=_155-1_ name=_155-1_ class=input type=radio value=false disabled>A.cat3<br>
<input id=_155-2_ name=_155-1_ class=input type=radio value=false disabled>B.cat4<br>
<input id=_155-3_ name=_155-1_ class=input type=radio value=false disabled>C.cat5<br>
<input id=_155-4_ name=_155-1_ class=input type=radio value=true checked disabled>D.cat6<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
Explanation:
cat6(六类)UTP就是千兆以太网的标准UTP
cat5用于100Mbps以太网
cat5e(超5类)可以用于百兆或千兆以太网。</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_155>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_155>[9]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_155>[4]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>45. 假设用户共享一个2Mbps的链路,并且每个用户在传送数据时都需要200Kbps的带宽,如果使用电路交换,最多几个用户可以共享这个链路? <br>
<input id=_132-1_ name=_132-1_ class="input shorttext" type=text value=10 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:
10</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_132>[0]</span></a> <a href=# class=sayQues>踩<span id=badcnt_132>[2]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_132>[4]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>46. 如果上面问题采用包交换技术,让30个用户共享这个链路,每个用户只有20%的时间在发送数据。问有6个用户同时发送的概率是多少?(Hint: Use the binomial distribution.) <br>
<input id=_133-1_ name=_133-1_ class="input shorttext" type=text value=C(30,6)*0.2^6^0.8^24 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:
约为18%
Explanation:
任何时刻一个用户发送的概率为20%,不发送的概率为80%。30个用户中有6个用户发送的概率为:
C(30,6) * 0.2^6 * 0.8^24
=593775 * 0.000064 * 0.004722366482869645213696
= 0.1794575
</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_133>[1]</span></a> <a href=# class=sayQues>踩<span id=badcnt_133>[11]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_133>[16]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>47. 假定12个包同时到达包交换机的输出接口,此时并没有任何包在此输出接口处发送或排队。如果每个数据包的长度都是300字节,该接口的带宽为1Mbps。这些数据包的平均排队延迟是多少?<br>
<input id=_134-1_ name=_134-1_ class="input shorttext" type=text value=13.2ms 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:
13.2ms
Explanation:
每个包的发送时间为300bytes/1Mbps,即2.4ms。
第一个排队时间为0,第二个包的排队时间为1*2.4ms,...,第12包的排队时间为11*2.4ms。因此,平均排队时间为:
(0+……+11)*2.4/12 =66*2.4ms/12=13.2ms
</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_134>[6]</span></a> <a href=# class=sayQues>踩<span id=badcnt_134>[3]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_134>[27]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>48. 考虑下图中的电路交换网络。如果每条垂直链路用FDM或TDM分成10个电路,每个水平链路分成20个电路。这个网络最多可以建立多少个并发连接?<br>
<img src=data:image/jpeg;base64,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><br>
<input id=_135-1_ name=_135-1_ 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
Explanation:
按照上课所讲,这里假设电脑与交换机采用专线,电脑足够多。每条电路可以形成一个连接,共有10+10+20+20=60个电路,因此最多可以形成60个并发连接。</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_135>[2]</span></a> <a href=# class=sayQues>踩<span id=badcnt_135>[7]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_135>[30]</span></a> <a href=# class=sayQues>问老师</a></p>
<p class=question>49. 在上面问题中,假设所有的连接都是左上角到右下角。这个网络最多可以建立多少个并发连接?<br>
<input id=_136-1_ name=_136-1_ class="input shorttext" type=text value=20 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:
20
Explanation:
每个连接或者是一条水平线接一条垂直线或者是一条垂直线接一条水平线,最多可以建20个这样的连接。</textarea><br><a href=# class=sayQues>赞<span id=goodcnt_136>[1]</span></a> <a href=# class=sayQues>踩<span id=badcnt_136>[6]</span></a> <a href=# class=sayQues>求讲解<span id=explaincnt_136>[40]</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>
<br>
<p id=msg></p>
</div>
</form>