Jul 2026· International Journal of Research Publication and Reviews· Vol 7, pp. 936-939· 0 citations
TL;DR
This review paper presents a comprehensive overview of cloud computing, critically examines the major challenges affecting its adoption, discusses recent technological advancements, and identifies future research directions for developing intelligent, secure, and sustainable cloud computing systems.
Abstract
Cloud computing has emerged as a transformative computing paradigm by providing scalable, on-demand, and cost-effective access to computing resources over the Internet. It enables organizations to utilize computing infrastructure, storage, networking, and software services without maintaining extensive physical hardware, thereby improving operational efficiency and reducing infrastructure costs. The widespread adoption of cloud computing has accelerated digital transformation across various domains, including healthcare, education, finance, manufacturing, and government. Despite its numerous advantages, cloud computing continues to face significant challenges related to security, privacy, interoperability, vendor lock-in, latency, resource management, and energy efficiency. Moreover, the rapid growth of emerging technologies such as artificial intelligence, edge computing, fog computing, blockchain, serverless computing, and quantum computing is reshaping cloud environments by enhancing intelligence, scalability, security, and sustainability. This review paper presents a comprehensive overview of cloud computing, critically examines the major challenges affecting its adoption, discusses recent technological advancements, and identifies future research directions for developing intelligent, secure, and sustainable cloud computing systems. The findings presented in this paper provide valuable insights for researchers, practitioners, and policymakers seeking to understand the evolving landscape of cloud computing and its future prospects.
Cloud computing has become a fundamental paradigm for delivering scalable, flexible, and cost-effective computing resources through Internet-based platforms. Its rapid adoption across various sectors has enhanced operational efficiency, resource utilization, and service delivery. Despite these advantages, cloud environments continue to face significant security challenges that threaten the confidentiality, integrity, and availability of data and services. This review examines the major security threats affecting cloud computing environments, including data breaches, account hijacking, insider threats, insecure application programming interfaces (APIs), cloud misconfigurations, distributed denial-of-service (DDoS) attacks, multi-tenancy risks, and regulatory compliance issues. The study also analyzes the security implications associated with different cloud services and deployment models. Furthermore, it reviews contemporary security mechanisms and mitigation strategies, including encryption techniques, Identity and Access Management (IAM), Multi-Factor Authentication (MFA), Zero Trust Architecture (ZTA), Cloud Security Posture Management (CSPM), Artificial Intelligence-based security systems, DevSecOps practices, and Confidential Computing. In addition, the strengths and limitations of existing approaches are critically discussed, while emerging trends, research gaps, and future research directions are highlighted. By synthesizing recent developments in cloud security, this review provides researchers, practitioners, and decision-makers with a comprehensive understanding of current challenges and promising solutions for securing modern cloud computing environments.
Amat AL-latif H. Abo-Torkhoma, A. A. H. Abo-torkhoma, G. Ali· Emirates International Unive...· 0 citations
The rapid growth of Internet of Things (IoT) devices, together with the increasing demand for real-time data processing, has exposed the limitations of traditional centralized cloud computing architectures. Edge computing has emerged as a transformative paradigm that brings computation, storage, and networking closer to the data source, thereby reducing latency, conserving bandwidth, and enhancing privacy. This paper presents a comprehensive review of edge computing as a modern trend in information technology. We systematically examine the architectural foundations, enabling technologies, and deployment models that underpin edge computing ecosystems. Furthermore, we analyze prominent application domains including autonomous vehicles, smart cities, industrial IoT (IIoT), healthcare, and augmented or virtual reality where edge computing delivers measurable performance improvements. A critical assessment of open challenges such as security vulnerabilities, resource constraints, interoperability, and orchestration complexity is also provided. Finally, we outline future research directions, including the convergence of edge computing with artificial intelligence (Edge AI), 6G networks, digital twins, and serverless edge architectures. This review aims to serve as a foundational reference for researchers and practitioners seeking to understand the current state and future direction of edge computing within the broader information technology landscape.
Keywords: Edge Computing, Internet of Things, Fog Computing, Cloud-Edge Continuum, Latency Reduction, Edge AI, Distributed Systems, Real-Time Processing.
Awiti Gideon Appiah, Dr. Lazarus Kwao, Benjamin Opoku Atuahene· International Journal of Cre...· 0 citations
The concept of hybrid cloud computing has become a unique trend in the present business infrastructures because it offers scalability of the public cloud services to control and security of private cloud environment. With organizations increasingly striving to go digital, hybrid cloud solutions offer the ability to choose and manage heterogeneous loads, achieve regulatory compliance, and cost-efficiency. The paper will provide a detailed analysis of hybrid cloud architecture, its applicability to the modern enterprise business setting, and its use in facilitating resilience-based scalable and secure business activities. This research paper presents the picture of the development of cloud deployment models, defines the key motivators of the hybrid cloud implementation, and discusses the technological infrastructure that facilitates the process of interoperability of the on-premises and on-cloud systems. A thorough literature review presents the new developments, issues, and best practices in the hybrid cloud deployment. The suggested methodology will describe a stratified hybrid cloud system aimed to serve the enterprise workloads and allocate the resources dynamically, organize the workloads, and implement more sophisticated security procedures. Analytical discussion and experimental practices indicate that hybrid cloud solutions can be effective with regards to enhanced performance, availability and reduced costs in comparison with earlier single-cloud models. The paper is concluded with the highlights of the strategic role of hybrid cloud infrastructures in the contemporary business ecosystems and the research directions in the future with respect to automation, artificial intelligence-based cloud management and sustainable cloud computing.
Noah Wright, Isabella Moore· International Journal of Mod...· 0 citations
Cloud computing has become a key technology that enables Small and Medium Enterprises (SMEs) to improve operational efficiency, reduce infrastructure costs, enhance business agility, and support digital transformation. By providing on-demand access to computing resources, storage, software, and networking services, cloud computing allows SMEs to adopt advanced technologies without significant capital investment. Despite its benefits, cloud adoption is influenced by several technological, organizational, environmental, financial, and security-related factors. Challenges such as data privacy, cybersecurity risks, regulatory compliance, vendor lock-in, and limited technical expertise often affect adoption decisions. This study examines the critical factors influencing cloud computing adoption using a framework based on technological, organizational, and environmental dimensions. It also considers major cloud deployment models and service models, including IaaS, PaaS, and SaaS. The findings indicate that cloud computing improves scalability, resource utilization, collaboration, business continuity, and decision-making while reducing operational and maintenance costs. However, successful implementation requires effective security measures, employee training, organizational readiness, and reliable cloud service providers. The study provides valuable insights for researchers, policymakers, technology vendors, and business managers to support effective cloud adoption and enhance the digital competitiveness and sustainable growth of SMEs.
Priya Kapoor· International Journal of Inn...· 0 citations
Quantum computing has emerged as a transformative technology capable of solving complex computational problems beyond the capabilities of classical systems. However, severe hardware limitations, qubit decoherence, and high implementation costs prevent it from replacing classical cloud infrastructure. Instead, cloud and quantum computing are evolving as complementary technologies. Through Quantum-as-a-Service (QaaS) and hybrid cloud–quantum architectures, cloud platforms provide scalable infrastructure, data management, and resource orchestration, while quantum processors accelerate specialized computational tasks. This review systematically examines the relationship between cloud computing and quantum computing by analyzing their technical differences, capabilities, application areas, current challenges, limitations, and future research directions. The findings indicate that cloud computing will continue to serve as the backbone of modern digital infrastructure, while quantum computing will enhance its capabilities for solving complex computational problems. Together, these technologies are expected to drive the next generation of intelligent, scalable, and high-performance computing systems.
Keywords: cloud computing; quantum computing; Quantum as a Service (QaaS); Hybrid Cloud–Quantum Architecture; Post-Quantum Security; QMLOps
Anamika V. J., Aleena K. Rasheed· International Journal of Tec...· 0 citations
The study concludes that intelligent edge computing architectures will play a vital role in supporting future real-time applications and next-generation 6G-enabled digital ecosystems.
Alan Bundy· International Journal of Mod...· 0 citations