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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM67046
Volume:
10 |
8 |
Aug 2026
Pages:
1-12
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
School of Sciences (BCA)
KK Modi University Durg
School of Sciences (BCA)
KK Modi University Durg
The paradigm of cloud computing has precipitated a tectonic shift in the global information technology ecosystem, transitioning organizational infrastructure from localized, capital-intensive deployments to decentralized, elastic utility computing. This comprehensive study conducts an exhaustive investigation into the architectural evolution, structural mechanics, and theoretical limitations defining modern cloud environments. By synthesizing contemporary academic literature, this research explores the fundamental transition from traditional hardware virtualization and monolithic application architectures to ephemeral, containerized, and serverless execution models. Furthermore, the paper rigorously analyzes the profound financial implications of transitioning from Capital Expenditure (CapEx) to Operational Expenditure (OpEx), a shift driven primarily by algorithmic resource pooling and dynamic elasticity. Despite unprecedented advancements, the cloud computing continuum remains severely constrained by structural challenges, including multi-tenant security vulnerabilities, cross-border data sovereignty compliance, persistent vendor lock-in mechanisms, and physical latency bottlenecks over Wide Area Networks (WAN). Looking toward the technological horizon, this paper evaluates next-generation paradigms, specifically Edge and Fog computing, Artificial Intelligence for IT Operations (AIOps), Green Cloud infrastructure, and Quantum Cloud Computing (QCC). The findings indicate that the future of computational architecture lies in a fluid, decentralized edge-to-cloud continuum, necessitating novel orchestration frameworks to achieve equilibrium between agility, cryptographic security, and computational latency.
KEYWORDS
Over the past two decades, cloud computing has transitioned from an experimental accounting mechanism for avoiding capital expenditure into the absolute foundational infrastructure of the modern global digital economy. This comprehensive study has mapped the immense architectural evolution from monolithic bare-metal hardware to the hyper-abstracted realms of serverless functions and microVMs, highlighting precisely how multi-tenancy and dynamic algorithmic elasticity drive unparalleled operational scale. However, the current centralized cloud paradigm is rapidly reaching strict physical and structural limits. Security architectures are severely strained by the inherent, complex risks of shared multi-tenant silicon; data sovereignty compliance fractures global database topologies; and physical network latency chokes the real-time processing demands of next-generation applications. The immediate trajectory of cloud computing indicates a metamorphosis from a centralized utility into a ubiquitous, decentralized mesh. The future is defined by an intelligent edge-to-cloud continuum, where AIOps dynamically and autonomously routes workloads across Fog nodes, Edge devices, and central hyperscale data centers based on real-time latency requirements, security classifications, and renewable energy availability. Concurrently, the strategic integration of Quantum Cloud Computing promises to unlock computational thresholds previously deemed impossible, provided the industry can pre-emptively secure the global infrastructure against quantum cryptographic deprecation. Ultimately, the survival and optimization of future cloud ecosystems will depend not solely on raw computational power, but on the intelligent, mathematically secure, and geographically distributed orchestration of these deeply abstracted resources.
1. (PDF) Cloud Computing Present Limitations and Future Trends, https://www.researchgate.net/publication/356638960_Cloud_Computing_Present_Limitations_and_Future_Trends 2. Cloud Computing-Basics, https://www.ijert.org/research/cloud-computing-basics-IJERTCONV4IS06013.pdf 3. Ahmad AlTwaijiry's research works - ResearchGate, https://www.researchgate.net/scientific-contributions/Ahmad-AlTwaijiry-2207671609 4. technological, organizational, and environmental factors influencing, https://www.researchgate.net/publication/360984278_TECHNOLOGICAL_ORGANIZATIONAL_AND_ENVIRONMENTAL_FACTORS_INFLUENCING_THE_ADOPTING_OF_CLOUD_COMPUTING_A_QUANTITATIVE_STUDY 5. Hybrid cloud and multicloud architecture - ResearchGate, https://www.researchgate.net/figure/Hybrid-cloud-and-multicloud-architecture_fig1_356638960 6. JCSTS - Al-Kindi Center for Research and Development, https://al-kindipublisher.com/index.php/jcsts/article/download/9981/8675/27572 7. Current Development, Challenges, and Future Trends in Cloud, https://www.researchgate.net/publication/369803280_Current_Development_Challenges_and_Future_Trends_in_Cloud_Computing_A_Survey 8. A COMPREHENSIVE REVIEW ON CLOUD COMPUTING, https://www.rjwave.org/jaafr/viewpaperforall.php?paper=JAAFR2604784 9. Step-by-Step Tracking of Your Paper in JAAFR Research ... - RJ Wave, https://www.rjwave.org/jaafr/track.php?r_id=507408 10. (PDF) Survey on serverless computing - ResearchGate, https://www.researchgate.net/publication/353174927_Survey_on_serverless_computing
Publication Date
8/31/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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