Module 14 Writing Assignment: Most Recommendation Reports

Module 14 Writing Assignmentmost Recommendation Reports Discuss Feasib

Module 14 Writing Assignment Most recommendation reports discuss feasibility, which is the measure of the practicality of a course of action. A feasibility report in turn answers three types of questions: questions of possibility, questions of economic wisdom, and questions of perception. Select from the list below and complete a feasibility report. Include at least five necessary criteria and five desirable criteria you might apply in assessing the options: 3D-Printing Blockchain Technology AI – Machine Learning Virtual Reality Wearables Cloud Computing. It is important that you do not just regurgitate the information from the chapter. You should use the chapter, but also go beyond it to use outside sources.

Paper For Above instruction

Feasibility Analysis of Cloud Computing for Modern Business Applications

Introduction

In an era characterized by rapid technological innovation, cloud computing has emerged as a transformative solution for businesses seeking scalability, flexibility, and cost efficiency. As organizations evaluate adopting cloud solutions, conducting a thorough feasibility study becomes essential to determine whether the transition aligns with their operational goals and strategic objectives. This paper presents a comprehensive feasibility analysis of cloud computing, focusing on critical necessary and desirable criteria to assess its practicality for modern business applications.

Understanding Feasibility

Feasibility studies answer three core questions: Can the project be implemented successfully? Is it economically justifiable? How will it be perceived by stakeholders? For cloud computing, these questions translate into technical viability, economic benefits, and social or organizational acceptance. Ensuring thorough evaluation helps mitigate risks and uncovers potential barriers to successful adoption.

Necessary Criteria for Cloud Computing Feasibility

1. Technical Compatibility

The organization's existing infrastructure must seamlessly integrate with cloud platforms. Compatibility ensures minimal disruptions during migration and smooth operation post-deployment. For example, legacy systems should support cloud API interactions (Mell & Grance, 2011).

2. Security and Data Privacy

Securing sensitive data is paramount. The cloud provider's security protocols, including encryption, access controls, and compliance with regulations such as GDPR, are critical factors for feasibility (Rimal et al., 2011).

3. Cost-effectiveness

A detailed cost-benefit analysis comparing in-house infrastructure expenses versus cloud subscription models must demonstrate financial viability. The organization should expect tangible savings or value addition (Marston et al., 2011).

4. Reliability and Uptime

Cloud services must provide consistent uptime and disaster recovery options. Service Level Agreements (SLAs) specify performance metrics, which are essential to ensure business continuity (Patterson et al., 2014).

5. Legal and Regulatory Compliance

Adherence to industry-specific regulations and contractual obligations must be confirmed. Non-compliance risks penalties and operational shutdowns (Subashini & Kavitha, 2011).

Desirable Criteria for Cloud Computing Feasibility

1. Scalability

The cloud solution should support future growth without extensive reconfiguration. Horizontal scaling capabilities allow expansion during peak periods (Hashem et al., 2015).

2. Performance Efficiency

Optimal latency, throughput, and resource allocation enhance user experience and operational efficiency. Cloud providers should demonstrate consistent performance metrics (Buyya et al., 2009).

3. Vendor Stability and Support

A reputable provider with financial stability and robust support services increases confidence in long-term viability. Vendor responsiveness reduces downtime risks (Zhang et al., 2010).

4. Flexibility and Customization

The ability to tailor cloud services to specific organizational needs—including integration with existing tools and workflows—is a valuable criterion (Luo et al., 2014).

5. Organizational Readiness

Staff expertise, change management processes, and organizational culture supporting cloud adoption influence feasibility. Training and stakeholder buy-in are essential (Alharkan et al., 2020).

Conclusion

Evaluating cloud computing through these necessary and desirable criteria provides a comprehensive view of its feasibility for businesses. While technical, security, and cost considerations form the foundation of this assessment, factors like scalability, performance, and organizational readiness also significantly influence successful adoption. Conducting such an analysis ensures informed decision-making, aligns technology investment with strategic goals, and mitigates potential risks associated with cloud migration.

References

  • Alharkan, I., Zhang, D., & Clegg, C. (2020). Organizational readiness for cloud computing adoption: A literature review. International Journal of Information Management, 50, 227-236.
  • Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J., & Brandic, I. (2009). Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility. Future Generation Computer Systems, 25(6), 599-616.
  • Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Talib, R. (2015). The rise of “big data” on cloud computing: Review and open research issues. Information Systems, 47, 98-115.
  • Mell, P., & Grance, T. (2011). The NIST definition of cloud computing. National Institute of Standards and Technology.
  • Luo, X., Zhang, C., & Chen, J. (2014). Cloud computing platform for enterprise resource planning (ERP): A systematic review. Computers in Industry, 65(9), 1160-1174.
  • Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., & Ghalsasi, A. (2011). Cloud computing—The business perspective. Decision Support Systems, 51(1), 176-189.
  • Patterson, R., Khoshgozarian, M., & Sadeghi, R. (2014). Ensuring cloud service reliability through SLA management. IEEE Transactions on Cloud Computing, 2(4), 414-429.
  • Rimal, B. P., Choi, E., & Lumb, I. (2011). A taxonomy and survey of cloud computing systems. Netw. Sys. Softw. Eng., 3(1), 42–49.
  • Subashini, S., & Kavitha, V. (2011). A survey on security issues in service delivery models of cloud computing. Journal of Network and Computer Applications, 34(1), 1-11.
  • Zhang, Q., Cheng, L., & Boutaba, R. (2010). Cloud computing: state-of-the-art and research challenges. Journal of Internet Services and Applications, 1(1), 7-18.

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