Adaptive Fault Tolerant Resource Allocation Scheme for Cloud Computing Environments

Cloud computing is an optimistic technology that leverages the resources to offer globally better and more efficient services than collection of individual use internet resources. Due heterogeneous high dynamic nature resources, failure during resource allocation a key risk in cloud. Such failures lead delay tasks execution have adverse impacts achieving quality service (QoS). This paper proposes effective adaptive fault tolerant scheduling approach effort facilitate error free task scheduling. The proposed method considers most impactful parameters such as rate current workload for optimal QoS. suggested validated using CloudSim toolkit based on commonly used metrics including utilization, average time, makespan, throughput, success rate. Empirical results prove benchmark techniques terms load balancing tolerance.