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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Cloud Computing | IJACSA

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

Survey: Risk Assessment for Cloud Computing

Vol. 4, Issue 12 (2013) · 27 citations

with the increase in the growth of cloud computing and the changes in technology that have resulted a new ways for cloud providers to deliver their services to cloud consumers, the cloud consumers should be aware of the…

Load Balancing with Neural Network

Vol. 4, Issue 10 (2013) · 32 citations

This paper discusses a proposed load balance technique based on artificial neural network. It distributes workload equally across all the nodes by using back propagation learning algorithm to train feed forward Artificia…

An Autonomic Auto-scaling Controller for Cloud Based Applications

Vol. 4, Issue 9 (2013) · 5 citations

One of the key promises of Cloud Computing is elasticity – applications have at their disposal a very large pool of resources from which they can allocate whatever they need. For any fair-size application the amount of r…

An Open Cloud Model for Expanding Healthcare Infrastructure

Vol. 4, Issue 9 (2013)

with the rapid improvement of computation facilities, healthcare still suffers limited storage space and lacks full utilization of computer infrastructure. That not only adds to the cost burden but also limits the possib…

Building Low Cost Cloud Computing Systems

Vol. 4, Issue 5 (2013) · 1 citations

The actual models of cloud computing are based in megalomaniac hardware solutions, being its implementation and maintenance unaffordable to the majority of service providers. The use of jail services is an alternative to…

LASyM: A Learning Analytics System for MOOCs

Vol. 4, Issue 5 (2013) · 55 citations

Nowadays, the Web has revolutionized our vision as to how deliver courses in a radically transformed and enhanced way. Boosted by Cloud computing, the use of the Web in education has revealed new challenges and looks for…

Call for Papers - Important Dates

Volume 17 No. 11, November 2026
Paper Submission Due October 25, 2026
Review Notification November 15, 2026
Publication Date November 30, 2026