Hi there,
My final project is: "Simulation of dependent tasks in Cloud Computing to VMs that are fault-tolerant",
In this work, we have developed a fault-tolerant architecture for Cloud Computing. We have proposed two approaches ; the first approach is essentially based on the checkpoint mechanism in order to minimize the time lost by failures while the second approach is a prediction (Deep Learning) which ensures reduce the time lost by failures in first approach and continuity of service of Cloud Computing in a way efficient in case of failure, The results obtained by the simulation show the effectiveness of our approaches to fault tolerance in term of execution time and masking effects of failures.
Also, we have used a different algorithms for allocation of VMs and scheduling the tasks (FCFS, MET, MaxMin, MinMin) and we used algorithms of clustering (Vertical & Horizontal).
Best regards.