A Cloud-based Auto-Scaling System for Virtual Resources to Back Ubiquitous, Mobile, Real-Time Healthcare Applications
S. K. Jameer Basha, NagaMalleswara Rao Purimetla, D Roja, Nagagopiraju Vullam, Lavanya Dalavai, Sai Srinivas Vellela
Abstract
The utilisation of virtualization technologies in conjunction with cloud computing has emerged as a significant and influential trend within the Information Technology (IT) sector. Cloud computing has significantly transformed the development landscape of mobile ubiquitous services by introducing notable attributes such as reliability and cost-effectiveness. Consequently, it has successfully penetrated the market, bringing about substantial changes in the industry. While it is possible to easily convert numerous types of best-effort mobile ubiquitous applications to cloud infrastructures, it is crucial to thoroughly analyse essential elements in order to enhance the effectiveness of cloud computing infrastructures for real-time healthcare applications. When programme clients observe an anomaly, there is a substantial increase in the data transfer rate. Nevertheless, there are inherent issues in the current allocation of computational resources by server-side processes to effectively manage the fluctuating and time-varying data quantities. This article introduces a novel auto-scaling technique for servers, which aims to dynamically allocate virtual resources. The suggested method’s efficacy in scaling virtual resources up and down in response to the number of real-time tasks is evaluated through testing conducted on an Amazon EC2 platform. The obtained findings demonstrate the efficient performance of the mechanism.