The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
Cloud computing delivers computing resources, including servers, storage, databases, and networking, as on-demand services over the internet, eliminating the need for organizations to own and maintain physical infrastructure. Service models are typically categorized as Infrastructure as a Service, Platform as a Service, and Software as a Service, deployed across public, private, or hybrid environments. Core research areas include resource allocation and load balancing, virtual machine and container scheduling, auto-scaling under variable workloads, cost optimization, and meeting service-level agreements under fluctuating demand. Roughly 94 percent of enterprises now use cloud services in some form according to recent industry surveys, with most running multi-cloud or hybrid strategies that raise distinct challenges in data security and multi-tenant isolation. Newer research directions include serverless computing, edge-cloud continuum architectures, and energy-efficient data center design. Applications span enterprise IT, big data analytics platforms, and the backend infrastructure for mobile and IoT applications. As an open-access cloud computing journal, IJACSA covers cloud architectures, performance evaluation studies, and security frameworks for hybrid environments.
Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed October 2026
Adopting cloud computing within the tertiary education sector is still problematic, especially in developing countries, because of the low level of readiness and the absence of predictive decision support tools. In this…
As the world confronts complex climate-change challenges, integrating sustainability principles into engineering and computing curricula has become imperative. Traditional learning-system infrastructures, however, often…
Cloud computing (CC) has grown as a core component of modern computing facilities, providing users with adaptable, on-demand services. In dynamic environments, the effective utilization of resources is significant for pe…
Non-invasive anemia screening from palpebral conjunctiva images may support preliminary triage when access to laboratory hemoglobin testing is limited. This study presents and evaluates a reproducible mobile-cloud framew…
Smart cities are becoming more interconnected, data-driven, and increasingly autonomous, with 6th-generation communication, edge-cloud computing, Internet of Things infrastructures, digital twins, federated learning, and…
Internet of Things (IoT) applications increasingly offload sensing and analytic tasks to edge and cloud resources. Cloud processing offers high computational capacity but can increase round-trip delay and wireless energy…
AI-driven educational platforms increasingly rely on heterogeneous cloud workloads, including real-time tutoring, adaptive assessments, and large-scale learning analytics, which impose diverse and conflicting quality-of-…
Legacy Information Systems (LIS) confront significant interoperability challenges, particularly at the database level. If existing solutions focus on data exchange, they fail to address the fundamental structural incompa…
Fault tolerance in cloud computing environments has matured significantly, and most cloud service providers now offer highly available and reliable services. However, such high levels of fault tolerance are often achieve…
One of the most important challenges in optimizing task scheduling in cloud computing is the dynamic nature of resources, the heterogeneity of tasks, and conflicting optimization criteria, such as minimizing task complet…
