eISSN: 3023-3267 editor@aimjournals.com
All Journals
Submit your article

Critique Open Research & Review

Open Access Peer Review International
Open Access

An Analytical Framework for Evaluating Modern Cloud Computing Technologies, Performance, and Industry-Wide Implications

DOI https://doi.org/10.55640/corr-v04i05-04
PDF
Nguyen Minh Anh 1 ,
4 Department of Computing and Open Research, Vietnam Institute of Scholarly Studies, Hanoi, Vietnam

Abstract

Modern cloud computing has evolved from a basic infrastructure-delivery mechanism into a broad technological paradigm supporting distributed applications, data-intensive services, organizational collaboration, and digitally enabled decision-making. However, evaluating cloud technologies solely through technical indicators such as computational capacity, availability, or scalability provides an incomplete assessment of their industry-wide value. This research and review paper develops an analytical framework for evaluating modern cloud computing technologies by integrating technological performance with service accessibility, operational effectiveness, organizational collaboration, implementation requirements, and broader institutional implications. The methodology uses a structured conceptual synthesis of the supplied literature, with particular attention to evidence concerning service gaps, technology-supported healthcare delivery, comparative implementation outcomes, collaboration, and quality improvement. The analysis demonstrates that cloud technology evaluation should be multidimensional: technical performance must be considered alongside usability, service continuity, interoperability, organizational readiness, governance, and measurable outcomes. The framework further indicates that technological sophistication does not automatically translate into improved service performance. Rather, value emerges when cloud capabilities are aligned with operational requirements and stakeholder needs. The paper concludes that an industry-wide evaluation model should combine technological, organizational, service, and outcome dimensions, while recognizing the limitations of transferring evidence from healthcare-specific studies to generalized cloud-computing contexts.

Keywords

Cloud Computing, Cloud Architecture, Technology Evaluation, Performance Analysis

References

Agency for Clinical Innovation (2019) A Clinician’s Guide: Caring for people with gastrostomy tubes and devices.
Cancer Institute NSW (2017) Cancer control in NSW, Annual performance report 2016. Cancer Institute NSW, Sydney (NSW).
Hamilton S, Mills B, McRae S, Thompson S (2018) Evidence to service gap: cardiac rehabilitation and secondary prevention in rural and remote Western Australia. BMC Health Services Research 18(1): 64.
Indications, technique, complications and management. World Journal of Gastroenterology 20(24): 7739.
Quigley R, Mann J, Robertson J, Bonython-Ericson S (2019) Are we there yet? Exploring the journey to quality stroke care for Aboriginal and Torres Strait Islander peoples in rural and remote Queensland. Rural and Remote Health 19(3): 4850.
Vidhya C, Phoebe D, Dhina C, Jayne S, Robert F (2018) Percutaneous endoscopic gastrostomy (PEG) versus radiologically inserted gastrostomy (RIG): A comparison of outcomes at an Australian teaching hospital. Clinical Nutrition ESPEN 23: 136-140.
Zubrzycki J, Shipp R, Jones V (2017) Knowing, Being, and Doing: Aboriginal and Non-Aboriginal Collaboration in Cancer Services. Qualitative Health Research 27(9): 1316-1329.

Most read articles by the same author(s)

1 2 3 4 5 6 > >> 

Similar Articles

11-20 of 41

You may also start an advanced similarity search for this article.