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 September 2026
Fog computing is considered as a distributed computing and storage resource. It is placed near to users rather than cloud computing to reduce latency in Internet of Things sensitive time applications. Several scheduling…
Television companies face significant problems in managing advertising orders due to manual processes that cause transcription errors, delays, and a lack of traceability. This study proposes a web application based on cl…
The rapid advancement of the Internet and Internet of Things (IoT) technologies has significantly increased the demand for scalable and efficient cloud computing solutions. Task scheduling, a critical aspect of cloud com…
The proliferation of cloud computing exposes sensitive data to the risk of unauthorized access, as traditional access control mechanisms are often inadequate for this dynamic environment. To address these shortcomings, t…
Cloud platforms continuously generate vast amounts of logs, metrics, and traces that are vital for monitoring and debugging distributed systems. However, current observability solutions are often siloed, dashboard-centri…
As the scale of cloud data centers continues to expand, energy consumption has become a critical issue. Virtual machine (VM) consolidation is a key technology for improving resource utilization and reducing energy consum…
Ransomware is currently one of the most severe cybersecurity threats and not only attacks legacy systems but cloud systems and Industrial Internet of Things (IIoT) systems as well. Security and privacy threats are height…
Cloud computing has emerged as a dominant platform for hosting complex applications, offering scalable and flexible resources on demand. However, the dynamic and heterogeneous nature of cloud environments poses significa…
Hybrid edge–cloud computing has emerged as a promising paradigm to meet the demands of latency-sensitive and resource-aware applications by combining the low-latency benefits of edge nodes with the scalability of cloud i…
With the proliferation of data-driven services and latency-sensitive applications, fog computing has emerged as a pivotal extension of cloud infrastructure, enabling data processing and resource allocation at the network…
