Fault Identification in Deadline Sensitive Applications in Cloud Computing

Abstract

Cloud Computing is a term that has risen exponentially over the last decade. These days when everyone has a handheld device, one wants to lap up the entertainment streaming on to their mobile directly from the cloud. The Service Level Agreement ensures that the quality of the content that is being provided to the consumers is error free. Thus making no compromise on the part of error that could disrupt the ongoing processes of the cloud computing. In case a failure occurs, the main objective is that the system should not stop functioning. The fault-tolerant system is mostly described as a strategy to build a secondary file along with the primary one for any mishap that might occur during the transaction, the secondary could take place of the primary one, and the consumer does not miss out anything. The challenge for the cloud service providers in this era is to provide a seamless and uninterrupted service. In this paper, we have discussed the issues that are generally quite common in terms of fault tolerance and proposed a model that tracks the fault once the task is loaded on to the virtual machine.