Enhancing Cloud Based E-Healthcare In 2023: Ann Who for Improved Resource Allocation and Reliability
Chandra Prakash Singh
Abstract
In 2022, e-healthcare services increasingly relied on cloud computing to deliver efficient and scalable solutions. The cloud computing environment offers real time processing capabilities essential for e-healthcare applications. However, these services often generate massive computational workloads with stringent deadlines, which conventional cloud optimization models struggle to handle effectively. To address these challenges, we propose an artificial neural-inspired whale optimization (ANN-WHO) approach. This methodology integrates a neural network based binary classifier and a whale optimization algorithm to enhance resource allocation, improve reliability, and minimize task completion times. Experimental results demonstrate that the proposed model outperforms existing algorithms, achieving an average start time improvement of 29.3%, finish time reduction of 29.5%, and utilization enhancement of 11%.