IJARCC
+7
Awaited:XXXX
Half-Yearly
2020
YES
India
English
YES
Google Scholar
editor.ijarcc@gmail.com
International Journal of Advanced Research in Cloud Computing (IJARCC) is an open-access, international peer-reviewed journal established in 2020, dedicated to advancing research and innovation in the field of cloud computing. It serves as a global platform for researchers, academicians, and industry professionals to publish high-quality contributions covering a wide range of topics, including cloud architecture, distributed systems, virtualization, security, scalability, and service models such as SaaS, PaaS, and IaaS. With a rigorous peer-review process, IJARCC ensures the publication of impactful research while promoting unrestricted access to knowledge. For inquiries or submissions, the editorial team can be contacted at editor.ijarcc@gmail.com The mission of IJARCC is to provide a dynamic platform for the dissemination of cutting-edge research in cloud computing. We are committed to: Publishing high-quality, peer-reviewed articles that contribute to academic and practical advancements. Supporting open access to research to ensure global accessibility and knowledge sharing. Encouraging interdisciplinary approaches to solving challenges in cloud computing. At IJARCC, we envision becoming a leading resource in cloud computing research, addressing both theoretical foundations and practical applications. We aim to bridge the gap between academia and industry, promoting innovation and collaboration that shapes the future of cloud computing.
The rapid evolution of data-driven decision-making necessitates robust methodologies capable of performing well even when data availability or consistency is a challenge. Transfer learning (...
With the growing adoption of cloud computing by enterprises, securing multi-tenant environments and ensuring robust data isolation have become critical challenges. Amazon Web Services (AWS),...
Customer churn prediction has become a pivotal challenge for industries operating in subscription-based or competitive market environments. Advances in artificial intelligence, particularly ...
The increasing complexity and volume of financial data in 2020 demand robust data governance frameworks to ensure effective risk management. This study investigates the design of comprehensi...
In response to the growing complexity of multi-cloud architectures, this paper introduces a resource-aware orchestration framework designed to support adaptive service deployment across hete...
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