Analysis of Networking Applications

The report analyzes different types of networks and their parameters, including load distribution, throughput graph, time sequence graph, flow graph, and window-scaling graph. It demonstrates the connection factors involved in networking using various websites. The report includes answers to questions about different protocols in unfiltered packet listings and provides graphs for different websites. It also includes TCP stream graph and time sequence graph. The report concludes with a summary of the demonstration and bibliography.

Running head: NETWORKING APPLICATIONS
Networking Application
Name of the Student:
Name of the University:
Author Note

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NETWORKING APPLICATIONS
Introduction
The report deals with the analysis of different type of networks and obtaining the
results from the analysis. The results procured after the analysis would be included in this
report. The different type of networking parameters have been described in this report to
describe the reports obtained from the analysis of the different type of networks. The
different parameters such as the load distribution, throughput graph, time sequence graph,
flow graph and window-scaling graph have been demonstrated in this report. The website
used for the demonstration of the networking parameters are
http://gaia.cs.umass.edu/wireshark‐labs/INTRO‐wireshark‐file1.html,
https://www.sbs.com.au/news/, https://www.amazon.com.au, http://howeverythingworks.org/
and http://www.radioau.net/. The report demonstrates the connection factors involved with
the networking within this addresses.
Task - 1a

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NETWORKING APPLICATIONS
Answer to question number a
The three different protocol that appears in the unfiltered packet listings are TCP, ICMP and
SSDP.
Answer to question number b
As per the screenshot provided above the time at HTTP GET was 25.8473228 and the
time at which the response was received was 26.307087. The time interval is 26.307087 –
25.8473228 = 0.4597642.
Answer to question number 3
The internet address of gaia.cs.umass.edu is 128.119.245.12
The address of my computer is 10.10.30.58.
Task - 1b
https://www.sbs.com.au/news/

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NETWORKING APPLICATIONS
Load Distribution
Throughput Graph

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NETWORKING APPLICATIONS
Time Sequence Graph
Flow Graph (Both general and TCP flow)
General Flow
TCP

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Window Scaling Graph
https://www.amazon.com.au

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NETWORKING APPLICATIONS
Load Distribution
Throughput Graph

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NETWORKING APPLICATIONS
Time Sequence Graph
Flow Graph (Both general and TCP flow)
General Flow
TCP

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NETWORKING APPLICATIONS
Window Scaling Graph
http://howeverythingworks.org/

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NETWORKING APPLICATIONS
Load Distribution
Throughput Graph

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NETWORKING APPLICATIONS
Time Sequence Graph
Flow Graph (Both general and TCP flow)
General Flow
TCP

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NETWORKING APPLICATIONS
Window Scaling Graph

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Task – 2
TCP Stream Graph
The TCP stream graph has been developed above for the displaying the sequence
numbers over the course of time during the networking connection. From the graph it can be
easily seen that the graph is not uniform and the number of sequence increase with the
increase in the number of seconds as the connection is being established

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Time Sequence Graph
The time sequence graph shows that the sequence number is uniform after the
connection has been established within both the nodes in the network. The flow of data has
been uniform in between the network and this shows that network is a stable one and hence a
steady flow packet of data would be taking place. This helps the user to uninterrupted
services from the website that they are connecting to.
Conclusion
The report deals with the demonstration of network in between the host and the
http://gaia.cs.umass.edu/wireshark‐labs/INTRO‐wireshark‐file1.html,
https://www.sbs.com.au/news/, https://www.amazon.com.au, http://howeverythingworks.org/
and http://www.radioau.net/ websites. The demonstration have been done with the help of the
Wireshark network analyser software. The different type of graphs that are available in the
Wireshark network analyser software would be able to successfully demonstrate the load
distribution, throughput graph, time sequence graph, flow graph and window-scaling graph of

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the network. The descriptions of the network has been aided with the inclusion of the graphs,
which would be provide a better visualization for the readers. The demonstration of the
networking constraints would also be easier with these graphs. Hence, the reader would be
successfully gain efficient knowledge on the networking parameters for the connection to the
different internet website with the help of this report.

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NETWORKING APPLICATIONS
Bibliography
[1] Mizrahi, T. and Moses, Y., April. OneClock to rule them all: Using time in networked
applications. In NOMS 2016-2016 IEEE/IFIP Network Operations and Management
Symposium (pp. 679-685). IEEE. , 2016.
[2] Tang, Y., Xing, X., Karimi, H.R., Kocarev, L. and Kurths, J. Tracking control of
networked multi-agent systems under new characterizations of impulses and its applications
in robotic systems. IEEE Transactions on Industrial Electronics, 63(2), pp.1299-1307. ,
2015.
[3] Rösinger, C.A. and Scherer, C.W., December. Structured controller design with
applications to networked systems. In 2017 IEEE 56th Annual Conference on Decision and
Control (CDC) (pp. 4771-4776). IEEE. , 2017.
[4] Yin, G., Wang, L.Y. and Nguyen, T. Switching Stochastic Approximation and
Applications to Networked Systems. IEEE Transactions on Automatic Control. , 2018.
[5] Sandberg, H., Amin, S. and Johansson, K.H. Cyberphysical security in networked control
systems: An introduction to the issue. IEEE Control Systems Magazine, 35(1), pp.20-23. ,
2015.