Cp5631 Australian Based Data Analytics Assessment Answers
Describe the purpose, scope, and objectives of the project for each of parts 2, 3 and 4. Why is it important to produce a well-designed network diagram? What goals are you trying to achieve with the hardware you select for the procurement project?
- Purpose
The first thing you need to do when starting on a project is ask “why”? What problem are you trying to solve? Once you explicitly define the problem, it becomes easier to evaluate possible solutions. - Scope
A project’s scope defines the outputs or deliverables of a project. What is the overall outcome of the project? How will the output of the project solve the problem? What features will the end result have? - Objectives
The objectives are areas of focus of the project, and can be listed as discrete goals. Projects are usually constrained by an overall budget and time-frame. Objectives can break down the overall constraints of the project and apply them to individual aspects. Typically, good objectives follow the SMART principle, in that goals must be: - Specific – well-defined and clear output
- Measurable – You know when the goal has been accomplished, or how much progress has been made
- Attainable – Goals are realistic and can be achieved within the project’s constraints
- Relevant – The goals are worthwhile and make sense in the context of the project
- Time-bound – Goals should have a time limit
The executive summary should be well-articulated: clear, concise, and use correct spelling and grammar. The intended audience for the executive summary can be assumed to have basic technical knowledge, but are not networking experts. You should aim for 200 to 300 words.
PART 2 - Network specifications and diagram
You have been given a rough sketch of the network topology below. You are to draw the network using Visio, subnet the network (see part 3), and assign port numbers and IP addresses to ports.
- Only include one switch in you diagram for each LAN or WLAN (even if more are required)
- The Internet router port address is 104.200.16.26/30
- The Seoul router is connected to the Internet, and provides access to the public backbone containing a web server and a database server.
PART 3 - Subnet the network using VLSM, and assign IP addresses to the appropriate devices.
Each location has the following number of hosts
Seoul, Seattle, and San Francisco (the cities that start with S) each include a wireless LAN for clients to use.
|
Location |
Workstations |
WLAN addresses |
|
Seoul |
400 |
30 |
|
Seattle |
70 |
14 |
|
San Francisco |
150 |
14 |
|
Osaka |
50 | |
|
Hong Kong |
80 | |
|
Vancouver |
15 |
Use VLSM to subnet the network topology using a public class B network. You are to use the table format below to provide the subnet details.
Spreadsheet Columns: Subnet name, subnet address, subnet mask (in slash format), first useable address, last useable address, broadcast address, static address range and DHCP address range (all addresses to be in dotted decimal notation)
- Choose one public B class network address for the entire network and subnet this block of addresses to optimise spare addresses for future expansion.
- Place the WAN subnets in the blocks directly following the LAN address space.
- Add 100% to each subnet to allow for growth in the number of hosts specified for each LAN (i.e. workstations × 2). Do not allow for any growth in the number of servers or size of WLANs
- DHCP will to be used for IP address allocation for hosts in each subnet and these ranges are to be allocated for each LAN.
- Static IP addresses are to be allocated where appropriate.
- The ISP has given us an IP address of 104.200.16.26/30 for our Internet connection at Seoul.
PART 4 - Research and source appropriate devices justifying choices (feasibility, efficiency, etc.)
You are to research and submit a project procurement plan for the San Francisco networks.
The devices you must include are routers, switches, and wireless access points. Make sure the devices you select can handle the number of workstations required at the site, and provide a good quality of service to wired and wireless users.
Your project plan and final recommendations should be based on a Weighted Decision Matrix (similar to the WDM you did in the Procurement Practical). You are to compare five (5) devices from each category and to base the decision on reasonable and well-justified attributes.
The budget for all procurement is $10,000. You may exceed this if you can justify it well.
Your project plan is to contain the following components:
Executive summary
- Briefly describe the goals of the procurement plan
Weighted Decision Matrix - hardware resource requirements analysis
- Include a written justification for priorities and attributes given in the matrix
- Create your WDMs in Excel and copy and paste them into your Word doc
Budget
- Create a well-presented table of the prices of all devices and the total cost
- Include hardware only, not labour
PART 5 – Cloud computing proposal
You have been asked to prepare a proposal about how cloud computing could be used to reduce the company’s hardware, service, and energy costs. You are to consider the following three scenarios, and make a recommendation on which to choose:
- Replacing ALL workstations within the organisation with thin clients, which will access a desktop environment provided by a cloud service provider (e.g., Amazon or Alibaba).
- Replacing ALL workstations within the organisation with thin clients, which will access a desktop environment provided by a private cloud infrastructure, created in-house and based in Seoul.
- Continuing to use workstations.
The company’s current contract is $850 per workstation, per year, for hardware and service. On average, each workstation currently consumes 230 kWh per year of electricity. In making your recommendation, you should consider not just costs, but the security implications of moving to a cloud service.
Your proposal should not exceed 2000 words. You must provide citations for any references that you use.
Answer:
An Australian based data analytics company, XYZ, opening new branch offices on Osaka and San Francisco. These offices require new equipment and thus there is need to redesign the existing network so as to meet the new requirements. The project is aimed at ensuring that all the branches are able to access real time data without delay. As such network redesign is necessary in order to ensure that every user is able to work independently on the shared network. The new network will ensure reliability, efficiency, security of the data and information, and scalability (Kuipers, 2012, p. 18). This are the major aspects that every network should meet. XYZ is a company that deals with data analytics and data is a very fragile and critical resource, therefore, security, privacy, and confidentiality is key.
The network will be able to meet these aspects. The main objective of the project is to assess and redesign the existing network so as to meet the new requirements as the company grows, that is, allow the new offices to access the network resources efficiently and effectively. Secondly, the network should ensure that communication is effective and reliable. Thirdly, sharing of resources (Mbale & Mufeti, 2011, p. 1). Fourthly, is load balancing to provide a way to increase the overall system performance, and finally to allow only authorized users to access the network.
PART 3 - Subnet the network using VLSM, and assign IP addresses
Table 1. Subnets
|
Subnet name |
Subnet address |
Subnet mask |
First useable address |
Last useable address |
Broadcast address |
Static address range |
DHCP address range |
|
Seattle |
172.10.0.0 |
/20 |
172.10.0.1 |
172.10.24.254 |
172.10.24.255 |
172.10.0.1-172.10.0.2 |
172.10.0.3 - 172.10.24.254 |
|
Hong Kong |
172.10.15.0 |
/21 |
172.10.15.1 |
172.10.33.254 |
172.10.33.255 |
172.10.15.1 |
172.10.15.2 - 172.10.33.254 |
|
Osaka |
172.10.95.0 |
/22 |
172.10.95.1 |
172.10.37.254 |
172.10.37.255 |
172.10.95.1 |
172.10.95.2- 172.10.37.254 |
|
Seoul |
172.10.38.0 |
/22 |
172.10.38.1 |
172.10.21.254 |
172.10.21.255 |
172.10.38.1 |
172.10.38.2- 172.10.21.254 |
|
Vancouver |
172.10.22.0 |
/23 |
172.10.22.1 |
172.10.23.254 |
172.10.23.255 |
172.10.22.1 |
172.10.22.2 - 172.10.23.254 |
|
San Francisco |
172.10.98.0 |
/25 |
172.10.98.1 |
172.10.98.126 |
172.10.98.127 |
172.10.98.1 |
172.10.98.1 - 172.10.98.126 |
|
Seoul_Server |
172.10.98.128 |
/29 |
172.10.98.129 |
172.10.98.134 |
172.10.98.135 |
172.10.98.129-172.10.98.131 |
172.10.98.132-172.10.98.134 |
|
Osaka_Server |
172.10.98.136 |
/29 |
172.10.98.137 |
172.10.98.142 |
172.10.98.143 |
172.10.98.137-172.10.98.139 |
172.10.98.140-172.10.98.142 |
|
WAN SEO-Hong Kong |
172.10.98.144 |
/30 |
172.10.98.145 |
172.10.98.146 |
172.10.98.145-172.10.98.146 | ||
|
WAN SEO-Seattle |
172.10.98.148 |
/30 |
172.10.98.149 |
172.10.98.150 |
172.10.98.149-172.10.98.150 | ||
|
WAN SEO-Osaka |
172.10.98.152 |
/30 |
172.10.98.153 |
172.10.98.154 |
172.10.98.153-172.10.98.154 | ||
|
WAN SEA-Vancouver |
172.10.98.160 |
/30 |
172.10.98.161 |
172.10.98.162 |
172.10.98.161-172.10.98.162 | ||
|
WAN SEA-San Francisco |
172.10.98.164 |
/30 |
172.10.98.165 |
172.10.98.166 |
172.10.98.165-172.10.98.166 | ||
|
WAN SAN-Vancouver |
172.10.98.168 |
/30 |
172.10.98.169 |
172.10.98.170 |
172.10.98.169-172.10.98.170 |
Table 1: Subnet Table
Table 2. Router Interfaces
|
Location |
Interface |
IP address |
Subnet mask |
|
Seoul |
S0/0 |
104.200.16.26 |
/30 |
|
S0/1 |
172.10.98.153 |
/30 | |
|
S0/2 |
172.10.98.149 |
/30 | |
|
S0/3 |
172.10.98.145 |
/30 | |
|
Fa 0/0 |
172.10.38.1 |
/22 | |
|
Fa 0/1 |
172.10.96.129 |
/29 | |
|
Hong Kong |
S0/0 |
172.10.98.146 |
/30 |
|
Fa 0/0 |
172.10.15.1 |
/21 | |
|
Seattle |
S0/0 |
172.10.98.150 |
/30 |
|
S0/1 |
172.10.98.161 |
/30 | |
|
S0/2 |
172.10.98.165 |
/30 | |
|
Fa 0/0 |
172.10.0.1 |
/20 | |
|
Vancouver |
S0/0 |
172.10.98.162 |
/30 |
|
S0/1 |
172.10.98.170 |
/30 | |
|
Fa 0/0 |
172.10.22.1 |
/23 | |
|
San Francisco |
S0/0 |
172.10.98.166 |
/30 |
|
S0/1 |
172.10.98.169 |
/30 | |
|
Fa 0/0 |
172.10.98.1 |
/25 | |
|
Osaka |
S0/0 |
172.10.98.154 |
/30 |
|
S0/1 |
172.10.98.157 |
/30 | |
|
Fa 0/0 |
172.10.95.1 |
/22 | |
|
Fa 0/1 |
172.10.96.137 |
/29 |
Table 2: Router Interfaces
Table 3. Servers
|
Location |
Server name |
IP address |
Subnet mask |
|
Osaka |
DB |
172.10.96.138 |
/29 |
|
USER |
172.10.96.139 |
/29 | |
|
Seoul |
WEB |
172.10.96.130 |
/29 |
|
|
172.10.96.131 |
/29 |
Table 3: Servers
PART 4 - Research and source appropriate devices justifying choices
The devices being planned to be procured include two routers for Tokyo and Osaka, switches for every LAN and one for the servers located in Osaka, two servers (User and DB located in Osaka), and 200 PCs (150 for San Francisco and 50 for Osaka). The most critical devices amongst are the servers because of the critical and vulnerable resource, data for XYZ data analytics company which hold a lot of data for clients (Di Corato, 2013). Data analysis is a very essential process and requires a computer with relatively high performance especially the processor, hard disk, and RAM. Finally, it is important to consider affordable but reliable devices.eighted Decision Matrix – Hardware resource requirements analysis.
The weights below apply for all the devices.
|
0 |
The scenario does not require the requirements |
|
1 |
The requirements are not very essential |
|
3 |
The requirements should be met |
|
5 |
The requirements are very critical |
|
0 |
The requirements have not been met totally |
|
2 |
The requirements have been met partially |
|
4 |
All the requirements have been met |
|
6 |
The requirements have been met and surpassed |
Requirements
|
Requirement |
Description |
Weight |
|
Speed |
1000MBPS transfer speed |
5 |
|
Price |
Not more than $400 |
1 |
|
Firewall |
Should be available |
3 |
|
Ports |
Minimum of 2 ports and 4 ports respectively |
3 |
Details
|
Model |
Ports |
Speed (Mbps) |
Cost ($) |
Firewall |
|
Cisco RV325 |
16 |
1000 |
545 |
yes |
|
Net Gear FVS336G |
2 |
1000 |
350 |
Yes |
|
Cisco RV042-AU |
4 |
100 |
185 |
no |
|
Linksys LRT214-AU |
6 |
1000 |
215 |
Yes |
|
Cisco RV042G-K9-AU |
4 |
1000 |
300 |
Yes |
Weight Score
|
Requirement |
No. Ports |
Speed (Mbps) |
Cost ($) |
Firewall |
Total weight score | |
|
Description |
>=4 |
>=1000 |
<400 |
Yes | ||
|
Weight |
3 |
5 |
1 |
3 | ||
|
Cisco RV325 |
6 |
4 |
0 |
4 |
50 | |
|
Net Gear FVS336G |
0 |
4 |
4 |
4 |
36 | |
|
Cisco RV042-AU |
4 |
0 |
4 |
0 |
16 | |
|
Linksys LRT214-AU |
6 |
4 |
6 |
4 |
56 | |
|
Cisco RV042G-K9-AU |
4 |
4 |
4 |
4 |
48 |
Switch
Requirement
|
Requirement |
Description |
Weight |
|
Cost |
<4500 for all |
3 |
|
Speed |
100M |
3 |
|
Port number |
>=16 |
5 |
|
Manageable |
Yes |
1 |
Details
|
Model |
No. Ports |
Speed (Mbps) |
Cost ($)/per device |
Management |
|
Cisco SF 200E-24P |
24 |
10/100/1000 |
387 |
Yes |
|
HP J9981A 1820-48G |
48 |
10/100 |
540 |
Yes |
|
Cisco SF 100-24 |
24 |
10/100 |
105 |
Yes |
|
Cisco SF 100D-16 |
16 |
10/100 |
80 |
No |
|
D-Link DGS-1100-24 |
24 |
10/100/1000 |
200 |
Yes |
Need number = 150/port number + 80/port number + 1 (for the main switch)
Weight Score:
|
Requirement |
No. Ports |
Speed (Mbps) |
Cost ($) |
Management |
Total weight score | |
|
Description |
>=16 |
>=100 |
<4500 |
Yes | ||
|
Weight |
5 |
3 |
3 |
1 | ||
|
Cisco SF 200E-24P |
4 |
4 |
0 |
4 |
36 | |
|
HP J9981A 1820-48G |
6 |
6 |
2 |
4 |
52 | |
|
Cisco SF 100-24 |
4 |
4 |
4 |
4 |
50 | |
|
Cisco SF 100D-16 |
4 |
4 |
6 |
0 |
50 | |
|
D-Link DGS-1100-24 |
4 |
6 |
4 |
4 |
54 |
Server
Requirement
|
Requirement |
Description |
Weight |
|
Cost |
< 3500 $ |
1 |
|
CPU |
>= quad core |
5 |
|
RAM |
>=16GB |
5 |
|
Network Controller |
1000Mbps |
3 |
Details
|
Model |
Cost($) |
Processor |
Memory |
Network Controller |
|
Lenovo 5457C5M x3100 M5 |
1800 |
Intel quad Core-3.4 GHz |
8GB |
Gigabit Ethernet |
|
HP ProLiant ML10 |
1599 |
Intel Xeon-3.1GHz |
8GB |
HP Ethernet 1Gb 2-port 332i Adapter |
|
LENOVO x3100 |
1750 |
Intel Xeon quad Core-3.1 GHz |
16GB |
Gigabit Ethernet |
|
Cisco UCS C220 M3 SFF |
899 |
Intel E5-2620v2(6 Core) |
32GB |
Ethernet 1Gb |
|
HP 778641-B21 DL80 Gen9 |
3099 |
Intel Xeon 6 core-1.9 GHz |
16GB |
Ethernet Adapter -1Gb 361i |
Weight Score
|
Requirement |
Cost($) |
Processor |
Memory |
Network Controller |
Total weight score |
|
Description |
<=3500 |
>= quad Core |
>=16G |
>=1000Mbps | |
|
Weight |
1 |
5 |
5 |
3 | |
|
Lenovo 5457C5M |
6 |
4 |
0 |
4 |
38 |
|
Cisco UCS C220 M3 |
4 |
6 |
6 |
4 |
76 |
|
HP 778641-B21 |
4 |
6 |
4 |
4 |
66 |
|
HP ProLiant ML10 |
6 |
0 |
0 |
4 |
18 |
|
HP J9981A 1820-48G |
6 |
4 |
4 |
4 |
58 |
Requirement
|
Requirement |
Description |
Weight |
|
Cost |
<= 1500 $ |
5 |
|
CPU |
>= core i7 |
5 |
|
RAM |
>=8GB |
3 |
|
ROM |
>=500GB |
3 |
Details
|
Model |
Cost($) |
Processor |
Memory |
Storage |
|
Intel core i7 6600 Turbo Pack |
750 |
Core i7 quad core 3.3GHz |
8GB |
1TB |
|
Umart ASUS Vivo |
659 |
Asus VM62-G039M |
8GB |
500GB |
|
Intel i7 6700 Extreme Pack |
1350 |
Intel Core i7 6700 Quad Core 3.4GHz |
16GB |
2TB |
|
Intel XEON workstation |
3599 |
Intel Xeon E5-2630v3 CPU - 2.4Ghz |
16GB |
2 x Hitachi 1TB |
|
Intel Core i3 4170 Value Pack |
599 |
Intel Core i3 4170 3.6Ghz |
4GB |
500GB |
Weight Score:
|
Requirement |
Cost($) |
Processor |
Memory |
Storage |
Total weight score |
|
Description |
<=1500 |
>=i7 |
>=8GB |
>=500G | |
|
Weight |
5 |
5 |
3 |
3 | |
|
Intel i7 6600 Turbo Pack |
4 |
4 |
6 |
6 |
76 |
|
Umart ASUS Vivo PC Pack |
6 |
4 |
4 |
4 |
74 |
|
Intel i7 6700 Extreme Pack |
4 |
6 |
6 |
6 |
86 |
|
Intel XEON CAD Workstation |
0 |
6 |
6 |
6 |
66 |
|
Intel Core i3 4170 Value Pack |
6 |
0 |
4 |
4 |
54 |
|
Item No |
Item |
Quantity |
Price ($) |
Total Cost ($) |
|
1 |
Router-Linksys LRT214-AU |
2 |
215 |
430 |
|
2 |
Switch-D-Link DGS-1100-24 |
6 |
200 |
1200 |
|
3 |
Sever- Cisco UCS C220 M3 SFF 2xE5-2620v2 2x |
2 |
899 |
1798 |
|
4 |
PCs- Intel i7 6700 Extreme Pack |
10 |
1350 |
13500 |
|
TOTAL BUDGET |
16,928 | |||
The budget set out for this project was $10,000 but based on the requirements and the needs of the new offices the budget have exceeded by $6,928. However, this cost is worth it because affordable, more reliable, and secured devices have been selected. Thus, over time there is minimal maintenance required on these devices.
PART 5 – Cloud computing proposal
Currently, there are several cloud service providers around the world like Amazon, Alibaba, Microsoft Azure, Google, and many others can choose from. Cloud computing offer centralized access to resources and the company will not have to worry about the management of resources (Hoque & Gupta, 2012, p. 29). Replacing all workstations with thin clients connect to the cloud reduces operational costs by a big margin. Thin clients are computers that connected to a network with no local storage.
Thin clients run virtual desktops using virtualization technologies from Citrix, Microsoft, and VMware in remote servers, either in-house or outsourced (Karyakina & Melnikov 2017, p. 253). Shifting to cloud computing using thin clients reduces the costs, enhance data security, improve overall performance, reduces energy consumption and cuts power costs by up to 80%, and offer efficient and effective remote management (Wickboldt et al., 2015, p. 281). The table below give a comparison of the three scenarios in order to make a recommendation:
Comparison Table
|
Technology |
Operational Cost |
Energy Consumption |
security |
Flexibility and Scalability |
|
Cloud Serviced provider accessed through thin clients |
No initial cost, monthly or annual subscription. Management of infrastructure is done by the cloud service provider (Wolf, 2010, p. 9). Cost of subscription compared for three providers: -Amazon $320 per thin client per year -Microsoft Azure $400 per thin client per year -Alibaba $270 per thin client per year |
Power cost can be reduce by up to 80% because thin client are endorsed by green energy thus consumes and emits small amount of energy (Wang, 2014, p. 172). |
Less secure. Data security is managed by the cloud provider and there is no assurance that no third parties will access the data (Movassaghi, Abolhasan, & Lipman, 2011). |
Can be modified easily without affecting the services. Easily scalable |
|
In-house cloud infrastructure accessed through |
High initial cost of about $428000 to set up an in-house cloud infrastructure in Saul. However, other subsequent costs are reduced. |
Energy consumption reduced by up to 60%. Workstations that consume a lot of energy is done away with because access will be done through thin clients that consumes less energy (Wang, 2014, p. 172). |
The company is responsible for its data security. Accessed to data centres are controlled and thus makes it easier to protect and monitor access to critical data. |
Its flexible but requires redesigning for it to be scaled. |
|
Physical workstations |
It is expensive compared to the two alternatives. The company currently pays $850 per workstation to the contractor. |
Consumes a lot of energy because all the workstations need power for them to be powered. Each work station consumes 230kWh per year. |
Relatively secured, however because of lack of centralize data management it might be a challenge to detect a bridge. |
Not easily scalable, require procurement of new equipment and maybe it may need the whole network to be redesigned to meet the new requirements. |
Recommendation
The company has 765 computers meaning that there are 765 employees that should have access to the data. The table below gives a breakdown of the cost of each choices
|
Technology |
Operational Cost |
|
Cloud Serviced provider accessed through thin clients |
-Amazon $320 x 765= $244,800 -Microsoft Azure $400 x 765= $306,000 -Alibaba $270 x 765= $206,550 |
|
In-house cloud infrastructure accessed through |
High initial cost of about $248,000 |
|
Physical workstations |
$850 x 765= 650, 000 |
From the above statistics and the analysis done considering other factors such as security, energy consumption, and scalability, it is recommended that the company go for in-house cloud infrastructure accessed through thin clients. Initial cost may be high but subsequent costs will be greatly reduced. Furthermore, energy consumption has been reduced by up to 60% making it environment friendly. Also, XYZ is a data analytics company meaning that data security is their major concern and this option offers better security compare to the other two.
Reference List
Di Corato, G. (2013). The Internet Service Provider Liability in Online Trademarks Infringement. SSRN Electronic Journal.
Hoque, I. and Gupta, I. (2012). Disk Layout Techniques for Online Social Network Data. IEEE Internet Computing, 16(3), pp.24-36.
Karyakina and Melnikov (2017). Comparison of methods for predicting the customer churn in Internet service provider companies. Machine Learning and Data Analysis, 3(4), pp.250-256.
Kuipers, F. (2012). An Overview of Algorithms for Network Survivability. ISRN Communications and Networking, 2012, pp.1-19.
Mbale, J. and Mufeti, K. (2011). Phase teaching model for subnetting IPv4. International Journal of Internet Technology and Secured Transactions, 3(1), p.1.
Movassaghi, S., Abolhasan, M. and Lipman, J. (2011). Addressing Schemes for Body Area Networks. IEEE Communications Letters, 15(12), pp.1310-1313.
Wang, J. and Wang, Q. (2014). Analyzing and predicting software integration bugs using network analysis on requirements dependency network. Requirements Engineering, 21(2), pp.161-184.
Wickboldt, J., De Jesus, W., Isolani, P., Both, C., Rochol, J. and Granville, L. (2015). Software-defined networking: management requirements and challenges. IEEE Communications Magazine, 53(1), pp.278-285.
Wolf, T. (2010). In-network services for customization in next-generation networks. IEEE Network, 24(4), pp.6-12.
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