Provisioning Hybrid Fault Tolerance Using Reactive and Proactive Approaches in Cloud Computing

Abstract

This particular research work is intend to provisioning a hybrid fault tolerance by combining the proactive and reactive fault tolerance approaches to address the problem that arises in the cloud environment that leads to system failures and service outages. Therefore, the objective of this work is to analyze the existing fault tolerance techniques and models in cloud computing and integrate the two fault tolerance approaches to ensure that the cloud environment is reliable and available by developing an appropriate algorithm that can solve this problem. Therefore, this study focuses on provisioning hybrid fault tolerance to ensure the quality of service in the cloud computing environment by realizing the reliability, of the cloud system by improving execution time, throughput, and migration time. Therefore, this study contributes a Threshold-Based Adaptive Hybrid Fault Tolerance (TBAHFT) approach in the cloud by amalgamating proactive and reactive approaches. Furthermore, in this study, VM migration and replication are being utilized in the proactive approach, whereas retry is used as a reactive approach. Additionally, experimental validation is performed by comparing three benchmark fault tolerance approaches by incorporating the first fit and least full host selection policies. The obtained experimental results of the proposed approach are presented in terms of different metrics such as failure rate, throughput, migration, and execution time using CloudSim simulator.