Modeling and Evaluating Fault Tolerance and Reliability in Cloud Environment using Colored Petri Nets

Nowadays, providing reliable customer service has become an important issue for service providers. The design of systems with high complexity and the existence of different resources in the cloud network have made service providers intend to provide the best services to their customers. One of the important challenges for cloud service providers is to increase fault tolerance as well as achieve maximum reliability, so that different methods have been proposed to solve this challenge. In this paper, we analyze the fault tolerance process in the cloud to prevent problems and irreparable damage before implementation. In the proposed method, the fault tolerance in the cloud environment is modeled and evaluated using colored petri nets. The proposed method is modeled using CPN Tools software and the reliability parameter is evaluated. Modeling and simulation results show that with increasing number of requests, Fault tolerance and reliability are reduced.