Fault Aware BAT Algorithm for Task Scheduling in Cloud

Abstract

Distributed resources in a cloud environment come with issues of reliability and heterogeneous performance of every data center. This behavior of the cloud comes with many issues like trust, fault, and reliability in the cloud. So, to overcome this, reliable task scheduling is required, which considers all the conduct of the cloud. In such a situation, the position, and the executives of the allocation of resources between on-premises, datacenters and cloud data centers is a fundamental problem. Distributing in the cloud places a heavy burden on the execution of the cloud and the supervision of resource and task performance. Various static and dynamic algorithms may be used to resolve this problem. For better cloud presentation in terms of several tasks failed, execution duration, and start time, a fault-aware bat algorithm inspired by undertaking distribution algorithm for cloud infrastructure is suggested in this paper.