An examination of the process of creating a fault-tolerant resource scheduling approach for a cloud environment
G. Anudeep Goud, Sayyad Rasheeduddin, K. Maheswari, Gollu Ranitha · 2025
Cloud computing meets the technological needs of businesses and supports a variety of other technologies. In addition, the emergence of advanced technologies has led to a significant rise in the requirement for processing power and storage capacity. Blockchain and large-scale data storage will function better as a result of advancements in the use of cloud computing, which underpins both technologies. A critical strategy to take into account while taking into account the needs of exceptional computing power is the intelligent allocation of cloud resources. This work presents the effective allocation of resources technique (FTVMA), which comprises the creation of efficient virtual machines (VMs) and maximizing the effectiveness of VM allocation by considering failure rates, the historical failure history of VMs, and executing effectiveness as an important aspect of effective scheduling. Numerous things can lead to VM cloudlet malfunction. Virtual machine overflow and unavailability are a couple of these. The introduced FTVMA algorithm considers the failure rate of the actual system, the load of simulated machines, and the cost-priority of the jobs in order to accomplish the Quality of Service (QoS) and Quality of Environment (QoE) of the user. The FTVMA methodology, more efficient for computing-intensive virtual machines (VMs), is tested in the Cloud Sim environment. The efficacy of the proposed approach is assessed using QoS metrics, namely span and VM Utilization. The priority missed rate and the failure rate are the two metrics used to quantify QoE. The QoS and QoE metrics show how much the recommended strategy has improved. The proposed technique outperforms the existing resource scheduling methods with regard to of QoS and QoE, according to the comparison of the results.