Secure task scheduling in cloud computing with enhanced ordinal optimisation and integrated DNA, Morse code techniques

Abstract

This paper presents two innovative approaches to address the challenges of task scheduling, efficient resource utilisation, and security in cloud computing environments. The first approach proposes an optimal task-scheduling strategy for virtual machines in dynamic cloud scenarios, utilising an enhanced ordinal optimisation technique and linear regression to predict future dynamic workload. The second approach utilises Morse code encoding of DNA sequences to optimise scheduling outcomes while ensuring secure scheduling in the cloud environment, integrating ordinal optimisation techniques and the unique properties of DNA sequences. The effectiveness of both proposed approaches is evaluated by comparing them to conventional task-scheduling techniques. The results demonstrate that the proposed approaches achieve better performance in terms of scheduling efficiency and security. These approaches offer a comprehensive solution to address the critical aspects of task scheduling, efficient resource utilisation, and security in cloud computing environments.