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
Providing data services support for large file upload and download is increasingly vital for mobile cloud storage. There is an increase in mobile users whose data access trends show more access and large file sharing. It…
Deep learning is one of the most remarkable artificial intelligence trends. It remains behind numerous recent achievements in various domains, such as speech processing, and computer vision, to mention a few. Likewise, t…
With the rapid development of remote sensing technology, our ability to obtain remote sensing data has been improved to an unprecedented level. We have entered an era of big data. Remote sensing data clear showing the ch…
Big Data is an extremely massive amount of hetero-geneous and multisource data which often requires fast processing and real time analysis. Solving big data analytics problems needs powerful platforms to handle this enor…
In cloud environment, maximum utilization of resource is possible with good resource management strategies. Workload prediction plays a vital role in estimating the actual resource required for successful execution of an…
Multi-cloud is a vendor-based heterogeneous cloud paradigm in recent era of computing with dynamic infrastructural deployment. Multi-cloud provides all the essential and on-demand requirements of a virtual environment fr…
The voluminous data produced and consumed by digitalization, need resources that offer compute, storage, and communication facility. To withstand such demands, Cloud and Fog computing architectures are the viable solutio…
A datacenter in a cloud environment houses a massive quantity of data in a distributed manner. However, with the increasing number of threats like data deduplication attack over the cloud environment, it is quite challen…
The efficiency of Internet services is determined by the Cloud computing process. Various challenges in computing are being faced, such as security, the efficient allocation of resources, which in turn results in the was…
Mobile edge-cloud computing environments appear as a novel computing paradigm to offer effective processing and storage solutions for delay sensitive applications. Besides, the container based virtualization technology b…
