Work place: Bhagwan Mahavir University, Surat, Gujarat-395007, India
E-mail: manojmalik@msit.in
Website: https//orcid.org//0000-0001-9477-5592
Research Interests:
Biography
Manoj Kumar Malik is an Assistant Professor at Maharaja Surajmal Institute of Technology (MSIT), Delhi, and a research scholar at Bhagwan Mahavir University, Surat. With a strong inclination toward both academics and administration, he has successfully published 16 research papers in reputed national and international journals. Known for his organisational skills and leadership abilities, he actively contributes to the smooth functioning of institutional activities while mentoring students in their academic growth. His balanced approach to teaching, research, and administration reflects his commitment to holistic academic development and excellence.
By Manoj Kumar Malik Hitesh Joshi Abhishek Swaroop
DOI: https://doi.org/10.5815/ijigsp.2025.04.05, Pub. Date: 8 Aug. 2025
"Cloud computing" refers to internet-based computing on demand and describes an incredibly scalable technology used by working-class and non-working individuals globally. Fault-tolerant task scheduling is an essential tool used by end users and cloud suppliers. Finding the best resource for the specified input task presents a key challenge for fault-tolerant task schedulers. The studies that have already been done have attempted to address each of these complex issues independently. Still, it is tricky to optimize resources and provide fault tolerance at the same time. In this paper, an effective hybrid HBA-MAO and hybrid fault-tolerant mechanism in cloud computing are designed to appropriate task scheduling in VMs without delay and failure. Various tasks submitted by users and virtual machines are taken as input for the proposed approach. Hybrid Honey Badger Optimization Algorithm (HBA) and Mexican Axolotl Optimization (MAO) are used in this proposed for priority based optimal task scheduling. These scheduled tasks are assigned to the VM for execution. A fault-tolerant mechanism is immediately carried out if the tasks are not completed successfully. The hybrid reactive and proactive fault-tolerant mechanism is used in this proposed approach for a high level of fault tolerance. The proposed approach attains better performance, like 70 sec of response time, 13% of resource utilization and 95% success rate. This approach uses resources efficiently by reducing resource consumption, so it is the best choice for fault-tolerant aware task scheduling.
[...] Read more.Subscribe to receive issue release notifications and newsletters from MECS Press journals