Dynamic Fault Tolerant Scheduling Mechanism for Real Time Tasks in cloud computing

Abstract

Now-a-days cloud makes a success in various fields such as financial transaction, scientific computing and so on. Reliability and Availability are most important between cloud provider and user. Fault tolerance plays a major role for using cloud services for industry and scientific specific purposes. In the present work, we focus on fault tolerance and resource allocation policies for cloud environments. In the existing system, Primary Backup (PB) model is used, but it does not contain any dynamic resource allocating mechanism. We propose a dynamic resource allocating mechanism with fault tolerance to improve resource utilization. We incorporate a backup overlapping mechanism and efficient VM migration strategy for designing novel Dynamic Fault Tolerant Scheduling Mechanism for Real Time Tasks in cloud computing. Our proposed model aims at achieving both fault tolerance and high resource utilization in the cloud. The experiments are evaluated using random synthetic workload and Google cloud trace logs to test the efficiency of our proposed model.