$24
Table 1: Allocation of applications to groups
Application Number
Group Numbers
1
1, 7, 13, 19, 25, 31, 37, 43
2
2, 8, 14, 20, 26, 32, 38, 44
3
3, 9, 15, 21, 27, 33, 39, 45
4
4, 10, 16, 22, 28, 34, 40, 46
5
5, 11, 17, 23, 29, 35, 41, 47
6
6, 12 ,18 ,24 ,30 ,36 ,42 ,48
1
Application #1:
Analyse and compare TCP Hybla, TCP Westwood+, and TCP YeAH-TCP performance. Select a Dumbbell topology with two routers R1 and R2 connected by a (10 Mbps, 50 ms) wired link. Each of the routers is connected to 3 hosts, i.e. H1, H2, H3 (i.e. senders) are connected to R1, and H4, H5, H6 (i.e. receivers) are connected to R2. The hosts are attached with (100 Mbps, 20 ms) links. Both the routers use drop-tail queues with queue size set according to bandwidth-delay product. Senders (i.e. H1, H2 and H3) are attached with TCP Hybla, TCP Westwood+, and TCP YeAH-TCP agents, respectively. Choose a packet size of 1.5 KB and perform the following tasks. Make appropriate assumptions wherever necessary.
Start only one flow and analyse the throughput over sufficiently long duration. Mention how you select the duration. Plot the evolution of congestion window w.r.t. time. Perform this experiment with all the flows attached to all the three sending agents.
In the next experiment, start 2 other flows sharing the bottleneck link while the first one is in progress and measure the throughput (in Kbps) of each flow. Plot the throughput and evolution of the TCP congestion window for each of the flow at a steady-state. Report the maximum throughput observed for each of the flows.
Measure the congestion loss and the goodput over the duration of the experiment for each of the flows.
2
Application #2:
Compare the performance of TCP over wired and wireless networks. Consider a topology as described below. The network consists of two TCP sources Node0 and Node2, corresponding to two TCP destinations Node1 and Node3 respectively. Node2 and Node3 come in wired domain with two routers R1 and R2 (connected by a {10 Mbps, 50 ms} wired link) between them. Both the routers use drop-tail queues with queue size set according to bandwidth-delay product. Node0 comes in domain of Base Station 1 (BS1) and Node1 comes in domain of Base Station 2 (BS2). BS1 and BS2 are connected by a (10 Mbps, 100 ms) wired link. The hosts, i.e. Node0, Node1, Node2, Node3 are attached with (100 Mbps, 20ms) links to routers or base stations (as shown in the figure below). The sources (Node0 and Node2)) use three TCP agents (i.e. TCP Westwood, TCP Veno and TCP Vegas) to generate three different TCP flows. Study and plot the fairness index (Jain's fairness index) and throughput change when the TCP packet size is varied; all the other parameter values are kept constant. You should use the following TCP packet size values (in Bytes): 40, 44, 48, 52, 60, 250, 300, 552, 576, 628, 1420 and 1500 for your experiments. The throughput (in Kbps) and fairness index must be calculated at steady-state. Make appropriate assumptions wherever necessary.
3
Application #3:
Create a topology of two nodes N0 and N1 connected by a link of bandwidth 1 Mbps and link delay 10 ms. Use a drop-tail queue at the link. Set the queue size according to bandwidth-delay product. Create a TCP agent (type of the agent specified below) and FTP traffic at N0 destined for N1. Create 5 CBR traffic agents of rate 250 Kbps each at N0 destined for N1. Make appropriate assumptions wherever necessary. The timing of the flows are as follows:
FTP starts at 0 sec and continues till the end of simulation. CBR1 starts at 200 ms and continues till end.
CBR2 starts at 400 ms and continues till end. CBR3 starts at 600 ms and stops at 1200 ms. CBR4 starts at 800 ms and stops at 1400 ms.
CBR5 starts at 1000 ms and stops at 1600 ms. Simulation runs for 1800 ms.
Plot graph(s) of TCP congestion window w.r.t. time for following 5 TCP congestion control algorithm implementations, and describe the TCP congestion control algorithms’ behaviour.
Case 1: use TCP New Reno
Case 2: use TCP Hybla
Case 3: use TCP Westwood
Case 4: use TCP Scalable
Case 5: use TCP Vegas
Draw a graph showing cumulative TCP packets dropped w.r.t. time comparing above 5 TCP congestion control algorithm implementations.
Draw a graph showing cumulative bytes transferred w.r.t. time comparing above 5 TCP congestion control algorithm implementations.
4
Application #4:
Compare the effect of buffer size on TCP and UDP flows. Select a Dumbbell topology with two routers R1 and R2 connected by a (10 Mbps, 100 ms) link. Each of the routers is connected to 3 hosts, i.e. H1, H2, H3 are connected to R1, and H4, H5, H6 are connected to R2. All the hosts are attached to the routers with (100 Mbps, 10 ms) links. Both the routers (i.e. R1 and R2) use drop-tail queues with equal queue size set according to bandwidth-delay product. Choose a packet size of 1.5 KB. Start 3 TCP New Reno flows, and after a while start 3 CBR over UDP flows each with 20 Mbps. These flows are randomly distributed across H1, H2 and H3. Increase the rate of one UDP flow up to 100 Mbps and observe its impact on the throughput of the TCP flows and the other UDP flow. Vary the buffer size in the range of 10 packets to 800 packets and repeat the above experiments to find out the impact of buffer size on the fair share of bandwidth and plot the necessary graphs. Make appropriate assumptions wherever necessary.
5
Application #5:
Using the network simulator ns-3, study the characteristics of IEEE 802.11. For the purpose of experiment, use the topology as follows. There are 3 nodes in the network located in a straight line at locations 200*i, with i=0, 1, 2. Node 0 and Node 2 both have TCP traffic to Node 1 (started randomly within 1 to 5 seconds of starting the simulation). Consider TCP Westwood+ or TCP Hybla for the TCP agents at Node 0 and Node 2, respectively. You have to run the simulations and measure the following from the trace output (the averages are taken over all the nodes). Do not use PCAP file for collecting the trace. Use Flow Monitor module in ns-3 for trace collection. No marks will be given if you consider PCAP trace with Wireshark.
Average bandwidth spent in transmitting RTS, CTS, and ACK.
Average bandwidth spent in transmitting TCP segments and TCP acks.
Average bandwidth wasted due to collisions.
TCP throughput (number of acknowledged bytes per unit time) at each node.
You have to run the simulations for 50 seconds each with different RTS thresholds (i.e. 0, 256, 512 and 1024 bytes) and TCP segment size of 1000 bytes. You can use scripts for trace file analysis and to plot the results. Make appropriate assumptions wherever necessary.
0 1 2
6
Application #6:
The objective is to compare the effect of CBR traffic over UDP agent and FTP traffic over TCP agent. Consider a TCP agent from TCP HighSpeed, TCP Vegas and TCP Scalable for the FTP traffic. Consider a Dumbbell topology with two routers R1 and R2 connected by a wired link (30 Mbps, 100 ms), and use drop-tail queues with queue size set according to bandwidth-delay product of the link. Each of the routers is connected to 2 hosts, i.e. H1, H2 are connected to R1, and H3, H4 are connected to R2. The hosts are attached to the routers with (80 Mbps, 20ms) links. The CBR traffic over UDP agent and FTP traffic over TCP agent are attached to H1 and H2 respectively. Choose appropriate packet size for your experiments and perform the following:
Compare the delay (in sec) and throughput (in Kbps) of CBR and FTP traffic streams when only one of them is present in the network. Plot the graphs for the delay (in sec) and throughput (in Kbps) observed with different packet sizes.
Start both the flows at the same time and also at different times. Also, compare the delay (in sec) and throughput (in Kbps) of CBR and FTP traffic streams. Plot the graphs for the delay (in sec) and throughput (in Kbps) observed with different packet sizes.
Make appropriate assumptions wherever necessary.
7
Table 2: Group Members corresponding to each Group
Group ID
Roll
Name
Application ID
Assigned
1
150123034
ROHIT KUMAR
1
1
170123014
BARISH BHAGAT
1
1
170123026
KONDRU SURAJ
1
1
170123006
ANKIT TRIPATHI
1
2
170101055
ROHAN NIGAM
2
2
170123036
MOHIT DHAKA
2
2
170123037
MOHIT KUMAR MEENA
2
3
170101005
AMAN MISHRA
3
3
170101031
KEERTI HARPAVAT
3
3
170101049
Priyanshu Singh
3
4
170101081
UDBHAV CHUGH
4
4
170123013
BAGAL SATEJ BABANRAO
4
4
170123052
TANYA CHAUHAN
4
5
170123015
BOJJA SAI PREETHAM
5
5
170123024
KESHETTI SAI KUMAR
5
5
170123031
MALISETTI KIRAN KARTHEEK
5
6
170101036
MANI MANNAMPALLI
6
6
170101068
SUNNY KUMAR
6
6
170101087
SIDDHARTH AGARWAL
6
7
170101084
MAYANK BARANWAL
1
7
170123017
DEV PRIYA GOEL
1
7
170123059
SHRUTI DINESH AGARWAL
1
8
170101035
MANAN GUPTA
2
8
170123011
ASHISH AGARWAL
2
8
170123038
MRIGANKA BASU ROY CHOWDHURY
2
9
170101043
PARTHA PRATIM MALAKAR
3
9
170101048
PRANSHU SRIVAS
3
9
170101070
THAHIR MAHMOOD POOVADA
3
10
170101039
NAGULAPALLI KASI VENKATA SAI KIRAN
4
10
170101051
RAJANALA HARSHAVARDHAN REDDY
4
10
170123016
CHINDAM SUJANA MAITHILI
4
11
170101029
KAPIL JANGID
5
11
170101044
PARVINDAR SINGH
5
11
170101057
RUTVIK GHUGHAL
5
12
170101077
VEMURI SAHITHYA
6
12
170123039
NAKKA LAHARI
6
12
170123054
TUMARADA ADITYA
6
13
170101054
RISHI PATHAK
1
13
170101063
SHIVAM BANSAL
1
13
170101088
SHASHANK SHARMA
1
14
170101040
NAKKA SRIHARSHA
2
14
170123025
KOMMINENI NIKHIL
2
14
170123028
KRISHNA PRIYATAM D
2
15
170101001
AAYUSH PATNI
3
15
170101052
RASHI SINGH
3
15
170101066
SOUMIK PAUL
3
16
170101033
LUCKY
4
16
170101034
MAKHARIA AAYUSH
4
16
170123021
HEMANT YADAV
4
8
Group ID
Roll
Name
Application ID
Assigned
17
170123004
ADITYA RAJ
5
17
170123040
PARV SOOD
5
17
170123043
SAHILPREET SINGH THIND
5
18
160101011
AKHIL CHANDRA PANCHUMARTHI
6
18
170101017
CH ROHITH RAVI PRABHU TEJA
6
18
170101050
PULIKONDA ROOP SAI RAKESH GUPTA
6
19
170101006
AMAN RAJ
1
19
170123029
KUSHAGRA MAHAJAN
1
19
170123034
MIHIR YADAV
1
20
170101074
UMANG
2
20
170123051
TANVI OHRI
2
20
170123053
TEJASVEE PANWAR
2
21
170101078
VINEET MALIK
3
21
170101080
VIVEK KUMAR
3
21
170101085
Sparsh Sinha
3
22
170101019
CHIRAG GUPTA
4
22
170101076
VAKUL GUPTA
4
22
170101082
LAVISH GULATI
4
23
170101026
HARDIK KATYAL
5
23
170101030
KARTIK GUPTA
5
23
170101075
UTKARSH JAIN
5
24
170123023
KEDAR NATH
6
24
170123056
PRATHIK.S.NAYAK
6
24
170123064
AGNIV BANDYOPADHYAY
6
25
170101060
SANCHIT
1
25
170123018
GARVIT MEHTA
1
25
170123020
harit gupta
1
26
170101002
ABHISHEK JAISWAL
2
26
170101038
MAYANK WADHWANI
2
26
170123007
ANKUR PRAMOD INGALE
2
27
170101067
SOURABH JANGID
3
27
170101071
THEEGALA RAKESH REDDY
3
27
170101073
TUSHAR RAJENDRA BHUTADA
3
28
170101009
ANUBHAV TYAGI
4
28
170101045
Piyush Gupta
4
28
170101053
RAVI SHANKAR
4
29
160101017
AUTONU KRO
5
29
170101023
FUGARE ASHISH DILEEP
5
29
170101027
KADAM KIRAN ZATINGRAO
5
30
170101011
ARANYA ARYAMAN
6
30
170101015
AVNEET SINGH CHANNA
6
30
170101041
NAVEEN KUMAR GUPTA
6
31
170101059
Sachin Giri
1
31
170101061
SAYAK DUTTA
1
31
170123010
ARYAN RAJ
1
32
170101013
ARYAN AGRAWAL
2
32
170101014
AVIRAL GUPTA
2
32
170101022
DEVANSH GUPTA
2
9
Group ID
Roll
Name
Application ID
Assigned
33
170101064
SHUBHAM KUMAR
3
33
170101065
SHYAM SUNDAR RAV
3
33
170101079
VINIT KUMAR
3
34
170101037
MAYANK CHANDRA
4
34
170101046
PRABHAT KUMAR
4
34
170123050
SUMEDH RAVI JOURAS
4
35
170123001
AAYUSH BANSAL
5
35
170123057
KARTIK SETHI
5
35
170123058
ARUN KUMAR
5
36
170101008
ANNANYA PRATAP SINGH CHAUHAN
6
36
170101012
ARPIT GUPTA
6
36
170101086
SHIVANG DALAL
6
37
170123027
KOTTA PREM SUJAN
1
37
170123035
MOGILLAPALLI NIKHIL
1
37
170123042
S SAI VAMSHI
1
38
170101007
ANIKET RAJPUT
2
38
170101020
DEEPAK GAMI
2
38
170101047
PRANAY GARG
2
39
170101056
ROUNAK PARIHAR
3
39
170101058
RYTHUM SINGLA
3
39
170101083
UTKARSH SANTOSH MISHRA
3
40
170123060
TRIKAY NALAMADA
4
40
170123061
MAHFOOZUR RAHMAN KHAN
4
40
170123062
DIVYANSH MANGAL
4
41
170123003
ABHINAV R
5
41
170123008
ARAV GARG
5
41
170123063
JOEL RAJA SINGH
5
42
170101021
DEVAISHI TIWARI
6
42
170123048
SIDDHANT SINHA
6
42
170123022
JAYANT PATIDAR
6
43
170123012
AYUSH DALIA
1
43
170123033
MAYANK SAHARAN
1
43
170123044
SAKSHI SHARMA
1
44
170123002
ABHINAV ANAND
2
44
170123041
RUPAM SAHU
2
44
170123045
SAURABH KUMAR
2
45
170123019
GARVIT SARJARE
3
45
170123032
MANNE HEMA PRIYA
3
45
170123046
SHALINI KUMARI
3
46
170101004
AJINKYA SHIVASHANKAR SHIVASHANKAR
4
46
170101025
HANSRAJ PATEL
4
46
170101003
ADITYA VARDHAN GARA
4
47
170101016
BANDAGONDA SHRI RAAM REDDY
5
47
170101018
CHALUMURU BHAVANI DATT
5
47
170101024
GEDDAM IKYA VENUS
5
47
160101074
Sumedh Manwar
5
48
170101028
KANCHUGANTLA RHYTHM
6
48
170101032
KETHAVATH NAVEEN
6
48
170101042
NAYANJYOTI DEURY
6
49
170123005
ANKIT KUMAR KANOJIYA
6
10