Task Clustering and Scheduling in Fault Tolerant Cloud Using Dense Neural Network

The scheduling in cloud is considered as a major task in cloud computing environment as it is associated with severe constraints while deploying or scheduling a task. It is hence necessary to model a schedule that effectively deploys the schedule the task based on the constraints. In this paper, we develop a DenseNet model to improve the rate of scheduling in cloud computing environment. This algorithm helps in the task assignment and execution in the cloud. The simulation is conducted in cloudsim simulator, where the communication costs is lesser than existing methods. Similarly, the execution of task takes lesser time in proposed than in other methods.