Reactive Hybrid Model for Fault Mitigation in Real-Time Cloud Computing

The Fourth Industrial Revolution is driven by cloud computing for increased productivity and efficiency. Despite the influence of cost-effectiveness, on-demand service and scalability, cloud computing is faced with many challenges such as security, performance, and fault tolerance. This research proposes a reactive mitigation model using checkpointing and replication techniques to overcome the challenges. The developed model has four layers: client/user, controller, fault tolerance (hybrid) and virtual machines layers. The functionalities of the developed model were compared to existing system using the same simulation conditions. The results showed a relative improvement over the existing system in terms of response time and computational cost and the developed system is able to react to faults by transferring requests to stable VMs and resume task execution at the last checkpoint. The developed model proved to work efficiently under various simulation conditions.