Network Design Methods for TEMAOS - Assessment 3 - [University Name]

This report delves into different network design methods, comparing their pros and cons for effective implementation. It analyzes the hierarchical network design model, which is suitable for enterprise networks, examining its layered structure (core, distribution, and access layers), and discussing its advantages like easy expansion and high security, while also noting its higher cost and CPU workload. The report also contrasts this with the flat versus hierarchical model and the flat-based network model, suitable for smaller networks, detailing their respective pros and cons regarding ease of maintenance, scalability, security, and speed. The conclusion recommends the flat versus hierarchical model for the specified network design due to its suitability for small-scale applications. The report also includes references to relevant research papers.

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TEMAOS
NETWORKING METHODS

Description
There several design methods that can be used to implement different network topologies. This
report aims at finding different types of methods that can implement a given network. The pros
and cons of these designs are also explained in this section. The following are some of the design
methods that are used in the design and implementing different networks.
The hierarchical network design model
This is the type of method that is mainly applied in implementing enterprse network systems.
The design is made up of 3 layers which are, core, access, and distribution layer. The core level
is the first layer is the one that accomplishes all the system operations like routing. It is the one
that provides optimal transports between different sites in the network (Wang, Huang, Zhang,
Zhang, & Wu,2017). The distribution layer is the second layer that is used to provide a policy-
based connection between the two other layers. Finally, access is the one that is used to provide
user access to the network as the name suggests.
The method has following cons and pros.
Pros.
 Expansion of the network system is easier.
 A large number of users can connect to it without causing problems.
 It rarely fails due to backup plans that are available.
 It can be designed easily.
 It has high security.
Cons
 It is a bit expensive since requires a lot of materials to be implemented

 There is a lot of burdensome workload for the CPU due to a lot of network hardware
components.
Flat Versus Hierarchical model
It is commonly used for designing minor networks. Each device, in this case, has almost the
same function. The maintenance of the devices in the network is easier this is because there are
no available layers.
Pros
 Can be maintained easily.
 Most suitable for designing minor networks.
Cons
 It can fail easily since it has no backup plans.
 It hard to troubleshoot since each component in the network has almost the same use
Flat based network model
This is a model that is used in reducing the number of switches in a network byconnecting the
many devices in one switch instead of many switches. In this model, all devices are in one
broadcast location since they are connected through hubs or switches but not routers (Frome,
Corrado, Shlens, Bengio, Dean, & Mikolov,2013).This makes all the devices in the network to
operate within the same broadcast area.It has the following cons and prons.
Cons
 There is poor security in the network hence not suitable.

 No room for future expansions and scalability since all the devices are connected through
one central located hub or switch
 Low speed due to high traffic in the network.
Prons
 It is mostly used for designing small or minor networks.
 It is easier to design, install and maintain.
 It is highly reliable than other network components.
Conclusion
The best method to be used in designing this network is Flat Versus Hierarchical model. This is
because the network that is to be implemented is meant for a small area. This means that a few
hardware components will be required in this case

References
Frome, A., Corrado, G. S., Shlens, J., Bengio, S., Dean, J., & Mikolov, T. (2013). Devise: A
deep visual-semantic embedding model. In Advances in neural information processing
systems (pp. 2121-2129).
Wang, C., Huang, N., Zhang, S., Zhang, Y., & Wu, W. (2017). A hierarchical network model for
network topology design. 01008, 1–9.