International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 12 | Dec 2025
p-ISSN: 2395-0072
www.irjet.net
Evaluation of a Framework for Integrated Web Services Using Simulation-as-aService and Cloud-Native Virtualization for Academic and Industrial Applications Savita Gautam1, Mr. Ram Krishna Paramhansh Dubey2 1M.Tech, Computer Science and Engineering, SR Institute of Management & Technology, Lucknow, India 2Professor, Computer Science and Engineering, SR Institute of Management & Technology, Lucknow
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Abstract - The growing transition from traditional stand-
powerful, High Performance Computing (HPC) capabilities along with sophisticated analytical tools.
alone simulation tools to cloud-based simulation services has created an increasing demand for cloud-based Simulation-asa-Service (SMaaS). Therefore this research provides an evaluation of a new cloud based platform which combines web-based simulation, training and analytical services in one cloud native platform by utilizing micro services and containerized orchestration technology. In addition, it provides resource utilization through the use of automated provisioning, dynamic pricing (adaptive licensing), and hybrid virtual machine (VM)-containerized deployment; it also supports the ability to scale performance in real-time across various types of academic and commercial users. An example case study using Polymer Portal and Manifold Flow Predictor showed that the proposed model is able to provide improvements in efficiency, reductions in operational costs, as well as higher levels of user satisfaction. Results from benchmarking studies demonstrated that the hybrid approach significantly reduces response times and computational overhead when compared to previous VM-based models. Finally, evaluations of user acceptance were completed using both TAM and UTAUT methods, which demonstrate that the proposed model is more usable and will be adopted at a greater rate than prior models. Therefore, the proposed model provides a base for further extension, including the use of AIassisted prediction, collaboration between edge-clouds, and block chain enabled license transparencies.
1.1 Evolution from Traditional Standalone Simulation Software to Cloud-Delivered Services Simulation technology has traditionally been a vital component of research, design of engineering products and production in the industrial sector. Historically, nearly all simulation programs were standalone desktop applications that required special computer hardware configurations and considerable investment for license fees. In recent years with the pursuit by industry of the digital transformation of business, the delivery platform for simulation systems has undergone a dramatic shift from independent computing environment models to a distributed (cloud) based model. With this shift has come the opportunity for greater remote collaboration, lower costs and more accessible, and powerful, High Performance Computing (HPC) capabilities along with sophisticated analytical tools.
1.2 Rise of Micro services and Container Orchestration Transforming Cloud-Based Service Integration From 2020 through 2024, modern cloud services have utilized micro-service architecture, and containerized services such as Docker and Kubernetes. Micro-services and containerized services enable the decomposition of large complex simulation systems into small, independent services which can be scaled up, updated, or independently deployed. In contrast to large monolithic systems, the use of microservice systems decreases the operational overhead and increases the overall reliability of systems.
Key Words: Simulation-as-a-Service (SMaaS), Web Services Integration, Micro services Architecture, Cloud Computing, High Performance Computing (HPC), Adaptive Licensing and Billing.
1. INTRODUCTION
Orchestration of containers enables additional efficiencies in automation for resources, load balancing, and fault tolerance. Cloud service providers utilize orchestration of containers to provide seamless performance, increased availability, and faster time-to-deploy to SMaaS platforms which support multiple users running different simulation tasks with variable computational requirements.
Simulation technology has traditionally been a vital component of research, design of engineering products and production in the industrial sector. Historically, nearly all simulation programs were standalone desktop applications that required special computer hardware configurations and considerable investment for license fees. In recent years with the pursuit by industry of the digital transformation of business, the delivery platform for simulation systems has undergone a dramatic shift from independent computing environment models to a distributed (cloud) based model. With this shift has come the opportunity for greater remote collaboration, lower costs and more accessible, and
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