Fault Diagnosis for Uncertain Cloud Environment through Fault Injection Mechanism

Cloud is the epitome of business computing as it is expeditiously taking over the long-established and conventional systems as a more efficient, reliable, elastic, cost-effective and scalable panacea. However, this introduces a continuous sense of uncertainty into the computational process. Cloud presents numerous challenges, with one of them being the Quality of Service management (QoS). Cloud is dynamic; therefore uncertainty can arise from various factors such as resource availability, unmatched predictions, unreliable data or unexpected faults in the system. The existing models fail to provide an efficient mechanism that detect, measure the uncertainty that has occurred and then rectify it. To determine the potency of the model proposed, parameters like Availability and Reliability are considered to render reliable and seamless cloud service.