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Research Paper Undergraduate 4,851 words

Cloud Computing's Impact on Systems Analysis and Design

~25 min read 8 sections Technology · Cloud Computing
Abstract

This paper examines how the emergence of cloud computing has transformed traditional systems analysis and design practices, with particular focus on the System Development Life Cycle (SDLC). It reviews the core cloud service models — Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS) — along with public, private, and hybrid deployment models. The paper analyzes how each phase of the SDLC must be adapted when cloud computing is incorporated, addresses differences between traditional and cloud-based SDLC frameworks, and explores the architectural changes that cloud computing introduces. It also identifies key obstacles to cloud adoption and reflects on the evolving role of IT developers in a cloud-centric business environment.

Key Takeaways
  • Introduction: IT as utility and cloud computing emergence
  • Cloud Computing Overview: Definition, traits, and deployment models of cloud
  • Cloud Infrastructure: SaaS, PaaS, and IaaS: Three cloud service models explained with examples
  • Ecosystem of Information Requirements: Stakeholder roles and information architecture in cloud context
  • Cloud Computing and the System Development Life Cycle: How cloud SDLC differs from traditional SDLC
  • Impact on Traditional Systems Analysis and Design: Cloud effects on architecture, testing, and design phases
  • Obstacles to Adopting Cloud Computing: Technical, business, and policy barriers to cloud adoption
  • Conclusion: Cloud computing's transformative effect on IT roles
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What makes this paper effective

  • Provides a comprehensive mapping of cloud service models (SaaS, PaaS, IaaS) onto the stages of the traditional SDLC, making abstract concepts concrete and practically applicable.
  • Balances theoretical definitions (drawing on NIST's cloud computing model) with real-world examples such as Amazon EC2, Google App Engine, and force.com.
  • Integrates multiple academic and industry sources to build a multi-perspective argument about cloud computing's transformative effect on IT development practices.

Key academic technique demonstrated

The paper demonstrates effective synthesis of literature across technology, business, and information systems domains. Rather than summarizing sources in isolation, the author weaves together definitions, frameworks, and examples to build a cohesive argument about how cloud computing necessitates changes in each SDLC phase. The use of Whitten and Bentley's information systems architecture framework as an organizing lens is a strong example of applying an established theoretical model to evaluate a new technological paradigm.

Structure breakdown

The paper opens with a business context establishing IT as a utility, then introduces cloud computing and its service and deployment models. It next addresses information requirements and stakeholder roles before examining how the SDLC must change in each of its five stages. A dedicated section compares traditional and cloud-based SDLC frameworks, followed by an architectural comparison and a catalog of adoption obstacles. The conclusion synthesizes findings and forecasts changes to IT developer roles.

Essay 4,851 words

Introduction

Both information systems and information technology infrastructure have been incorporated into business procedures for at least two decades. In the initial development of information technology, organizations that invested heavily in IT infrastructure achieved strong growth in market shares and returns. Given that IT is now the core of businesses, nearly all organizations own their own IT infrastructures to manage their daily business activities. In the event of malfunctions in the information systems, regular business operations can be seriously disrupted. Though the majority of companies are not IT companies, they must invest a significant share of resources in IT in order to run their business operations smoothly (Chou & Chou, 2011).

Information technology has become a necessary infrastructure that organizations need to possess; however, it does not inherently offer strategic benefits for business. According to Carr (2003), the growth of the power and ubiquity of information technology has relatively undermined its strategic significance. He compared the status of information technology to electricity: both are significant for a business's survival, but neither offers unique strategic value. Information technology is now a utility for many organizations, just like electricity. The rising use of the internet has resulted in the progression of internet applications. The work and lives of individuals are now deeply integrated into the computer network. Today, the Web is not merely a means of communication but also serves as a platform for business and society. To reach the vast number of users or prospective users, organizations need to deliver their content and business processes online. This newly established trend has led to increased demand for distributed computing power, which in turn has triggered a new paradigm — cloud computing.

Cloud computing is a means for organizations to deliver their content and business procedures online with the flexibility of computing resources (Armbrust et al., 2010). From a business perspective, cloud computing is an on-demand access to virtualized information technology resources housed by a third party, utilized by multiple users, easy to use, paid for through subscription, and accessible via the web (Brynjolfsson, Hofmann, & Jordan, 2010). The offering of cloud computing has presented organizations with opportunities to review their IT infrastructure. Given that various cloud computing vendors are capable of providing scalable IT resources based on subscription, cloud computing can be regarded as a utility model. With the pay-as-you-go design, organizations consume IT resources just as they consume water or electricity.

Cloud computing comprises both the applications delivered over the internet and the hardware and systems software in data centers that provide those services. These services are known as Software as a Service (SaaS). Additionally, cloud computing offers other kinds of services: Platform as a Service (PaaS) and Infrastructure as a Service (IaaS). With the major advances in Information and Communications Technology (ICT) over the last half century, there is a possibility that computing will one day become the fifth utility (Sasi & Larance, 2014).

Information system analysts normally develop information systems based on the differing activities in the System Development Life Cycle (SDLC). These particular system development activities are founded on the assumption that information systems will be developed in-house. Due to cloud computing, some new system development activities require modification or renewal. The aim of this paper is to discuss how system development activities must be altered to respond to the emergence of the cloud computing model, together with the concerns associated with applying that model.

Cloud Computing Overview

Cloud computing is essentially a new platform of computing in which software and hardware are delivered to users in a manner that resembles the way utilities like electricity are supplied to households. The term "cloud" originates from the use of a cloud image to symbolize the internet or a large networked environment. In cloud computing, however, the cloud does not simply entail routers, servers, and data pipes; it also entails providing capabilities and services to develop applications (Hartig, 2009). The cloud computing phenomenon is still evolving. The cloud computing industry involves various levels of vendors as well as various kinds of services for different market functions. Therefore, it is difficult to describe cloud computing precisely.

The United States National Institute of Standards and Technology (NIST) defined cloud computing as a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources — such as servers, applications, and networks — that can be rapidly provisioned and released with minimal service provider engagement or management effort. According to NIST, this cloud model is composed of five essential characteristics (broad network access, measured service, on-demand self-service, rapid elasticity, and resource pooling), three service models (Cloud Infrastructure as a Service, Cloud Software as a Service, and Cloud Platform as a Service), and four deployment models (private cloud, hybrid cloud, public cloud, and community cloud) (Mell & Grance, 2009).

According to Pallis (2010), wireless network ubiquity, progressive advancement in internet computing software and mobile computing, and declining storage and mobile device costs are the driving forces behind cloud computing. Some of the benefits for cloud users include the ability to enhance efficiency by adding capacity at peak demand, lowering costs, and eliminating unnecessary capacity easily.

6 Sections Hidden · 2,530 words
Cloud Infrastructure: SaaS, PaaS, and IaaS580 words
A cloud system generally entails elements such as network, storage, and processing. Thus, a cloud's architecture can be observed from three different layers:…
Ecosystem of Information Requirements330 words
Companies establish information systems in order to capture and manage data to generate useful information that supports their workers, clients, partners, and suppliers. Even though information systems vary in sizes and shapes, information prerequisites…
Cloud Computing and the System Development Life Cycle560 words
SDLC (Systems Development Life Cycle or Software Development Life Cycle) refers to a framework that describes the tasks to be carried out at every step in the software development process. It entails a set of procedures that developers follow for each…
Impact on Traditional Systems Analysis and Design620 words
The disparities between cloud computing and on-premise software development are bound to have some effect on traditional software development methods. First, the traditional software development lifecycle — whether "waterfall" or "agile"…
Obstacles to Adopting Cloud Computing210 words
Ten obstacles that may hinder the adoption of cloud computing were identified by Armbrust et al. (2010). The first three obstacles are associated with the adoption of…
Conclusion230 words
Cloud computing has presented an attractive opportunity for not only small businesses but also large business enterprises. Traditional information systems were initially run on in-house physical machines. The…

References

Armbrust, M., Fox, A., Griffith, R., Joseph, A., Katz, R., & Konwinski, A. (2010). A view of cloud computing. Communications of the ACM, 53(4), 50–58.

Bhattacharjee, R. (2009). An analysis of the cloud computing platform. Massachusetts Institute of Technology.

Brynjolfsson, E., Hofmann, P., & Jordan, J. (2010). Cloud computing and electricity: Beyond the utility model. Communications of the ACM, 53(5), 32–34.

Carr, N. (2003). IT doesn't matter. Harvard Business Review, 81(5), 41–49.

Chou, A. Y., & Chou, D. C. (2011). Cloud computing from the perspective of system analysis. In Southwest Decision Sciences Institute (pp. 1091–1098). Southwest Decision Sciences Institute.

Dennis, A., Wixom, B. H., & Roth, R. (2011). Systems analysis and design (5th ed.). John Wiley & Sons.

Hartig, K. (2009). What is cloud computing. Cloud Computing Journal. Retrieved from

Mell, P., & Grance, T. (2009). Cloud computing. U.S. National Institute of Standards and Technology. Retrieved from http://csrc.nist.gov/groups/SNS/cloud-computing/

Motahari-Nezhad, H. R., Stephenson, B., & Singhal, S. (2009). Outsourcing business to cloud computing services: Opportunities and challenges. HP Technical Reports. Retrieved from http://www.hpl.hp.com/techreports/2009/HPL-2009-23.html

Pallis, G. (2010, September/October). Cloud computing: The new frontier of internet computing. IEEE Internet Computing, 70–73.

Rahul, M., Haque, M. J., & Muntjir, M. (2012). Impact of cloud computing on IT industry: A review and analysis. International Journal of Computer and Information Technology, 1(2), 185–189.

Sasi, M., & Larance, L. (2014). Analysis and design of mobile cloud computing for online banking application system. SSRG International Journal of Mobile Computing & Application (SSRG-IJMCA), 21–25.

Satzinger, J., Jackson, R., & Burd, S. (2009). Systems analysis and design in a changing world (5th ed.). Course Technology.

Sintobin, B. (n.d.). Case study: Advantages of private cloud computing platform. SlideShare. Retrieved from http://www.slideshare.net/ISPABelgium/case-study-advantages-of-the-private-cloud-computing-platform-3195422

Velagapudi, M. (2012, February 6). SDLC for cloud computing — How is it different from the traditional SDLC? Retrieved from https://bootstraptoday.wordpress.com/2012/02/06/sdlc-for-cloud-computing-how-is-it-different-from-the-traditional-sdlc/

Whitten, J., & Bentley, L. (2007). System analysis and design methods (7th ed.). McGraw-Hill.

Key Concepts in This Paper
Cloud Computing SDLC SaaS PaaS IaaS Virtualization Agile Methodology IT Infrastructure Cloud Deployment Systems Analysis Information Systems Cloud Services
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PaperDue. (2026). Cloud Computing's Impact on Systems Analysis and Design. PaperDue. https://www.paperdue.com/study-guide/cloud-computing-systems-analysis-design-2161232

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