ICT335 Cloud Computing Business Case and Technical Models Assignment Sample SUSS Singapore

The course, ICT335: Cloud Computing Business Case and Technical Models are meant to provide an overview of the field of cloud computing. It provides a framework for selecting an optimal combination of technologies that meets business requirements.

The students will learn essential characteristics about how flexible it can be in lowering costs while also increasing services by developing new models on both users and providers from the Internet-based service industry. In addition to business model drivers, technical theory, and comparisons with historical alternatives, the Cloud Computing course will help students build a working knowledge of virtualization software.

TOA, TMA, GBA Assignment sample of Cloud Computing Business Case and Technical Models module SUSS Singapore

At the end of this course, Singaporean students will be able to learn Cloud Computing Business Case and Technical Models module with the help of the following learning outcomes:

1. Describe the history and evolution of Cloud Computing

The idea for cloud computing came about back in the 60s with a data scientist named Joseph Carl Robnett. He envisioned that we would eventually be moving all computer processes on remote servers, so they could handle the heavy lifting without clogging up your personal machine. And he was right! The progression of computers from desktops to laptops to tablets has made it possible for more and less powerful devices to connect to the internet and other remote systems.

This has led not only to quicker processing speeds but also opened up new avenues of thinking when it comes to designing interfaces and how programs are run on our hardware. It’s also meant that storage areas have continued to expand as well which is great news considering how many digital pictures we take!

2. Explain the core elements of a true cloud

A true cloud-computing environment must have the following elements in order to function properly: a data center, the network between data centers, clients, and server nodes. The network is key because information transmitted over it often follows an unpredictable path from one location to another meaning that the client will not always see the same server node when information is delivered. However, regardless of which route the client takes, they should never be able to see either where servers are located or what two locations those servers inhabit at any given time since this could ruin security and cause leaks.

The equipment at these data centers includes both physical hardware (server racks) and hardware virtualization software (which allows them to run with less overhead on their respective power grids.

3. Apply business economics to evaluate a cloud provider

There are two main considerations when evaluating a cloud provider. The first is how the system will affect your existing infrastructure, and the second is cost. If the company providing cloud services has proprietary hardware, then you need to assess how well their service will work with your existing hardware configuration. You also need to understand which features they offer that might be important for future updates of equipment requirements.

The second consideration is cost, which includes not just monthly charges but potentially extra per-use fees or other one-time fees that may apply in some cases. It’s worth comparing individual components like CPU and storage separately to ensure you get accurate pricing information and consider total costs over a long period of time to make sure there are no surprises at contract renewal time from unexpected charges added to your monthly bill.

4. Differentiate & distinguish the different types of clouds

Clouds are the models in cloud computing. Amongst many services, there are four main types of clouds that provide different service models for particular use cases.

Software as a Service (SaaS) -The SaaS model is a full package feature software provided on the internet with mainly subscription payment model

Infrastructure as a Service (IaaS) – The IaaF model provides virtualized data centers to customers, even whole racks in servers if needed and those clients are able to reconfigure and customize all the IT resources at any time. They just need to pay for the resource they used per hour or day automatically according to their needs, the maximum of up to 24 hours per day. And it’s totally flexible, no need for anyone to invest in buying new equipment.

Platform as a Service (PaaS) – The PaaS model provides virtualized machines for customers to use and provides the building block required for them to develop their complete applications without any extra programming work required.

5. Analyze Service-Oriented Architecture in reference to cloud

Service-Oriented Architecture (SOA), also known as a Systems Architecture, is a design pattern focusing on the physical abstraction of the underlying computing systems utilized in order to hide the implementation details from application developers. These abstractions are loosely coupled, modularized and allow for cross-cutting concerns.

Service-Oriented Architectures enable capabilities such as scalability, flexibility, and well-defined contracts between consumers and providers that support extendibility. By utilizing a standards-based approach with cloud applications SOAs help ensure interoperability between heterogeneous cloud services by facilitating key interfaces through service descriptions. SOAs can provide an organization with ways to increase operational efficiency while reducing the total cost of ownership through standardization as well as leveraging off current investments in existing.

6. Demonstrate Desktop Virtualization

Desktop virtualization in cloud computing is a technology that enables organizations to deliver services from the cloud to their own desktop devices. It eliminates many concerns associated with managing and securing desktops, and it allows access from any location with an internet connection. In this way, desktop virtualization simplifies IT operations by centralizing business applications on a secure server accessible by employees who may have dispersed work locations or alternate work schedules.

The benefits of desktop virtualization include improved application deployment times through the use of shared storage and centralized management without the need for physical servers; increased operational efficiencies through remote system maintenance and monitoring; reduced total cost of ownership (TCO) through hardware consolidation at remote sites; simplified disaster recovery by making backup data available from any site.

7. Recommend IaaS, PaaS, and SaaS technologies

IaaS, or Infrastructure as a Service, allows another party to arrange for the necessary hardware in order to run an application. This is complete with operating systems and other software.

For example, if you need 500 servers for your new mobile app architecture plan but don’t own any servers yourself- IaaS could be used.

PaaS stands for Platform as a Service and includes anything that goes into creating an environment where new systems can be run like databases, programming languages, operating systems, etc.

SaaS would be Software as a Service and typically is everything besides infrastructure that allows for the development of applications without having to purchase and set up your own IT equipment such as networks or computer software.

8. Formulate calculation for practicing cloud economics

Cloud economics is the ongoing study of the economic effects of IT implementation in software applications. Cloud computing contrasts with earlier systems based on historically significant structures of provision such as application service providers, business process outsourcing, or IaaS cloud providers.

To practice this type of economics you need to be able to calculate the cost savings from consolidation when you outsource data centers and premises maintenance. To do this, simply take your company’s number of servers and multiply that by their electricity costs per year (for example, 10% if they’re located in a very expensive area). Then total up how much data storage capacity that would require for your company square footage times prices-per-square foot.

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