Analysis and provisioning of network traffic in cloud environment using Markov model

The study of Quality of Service (QoS) and the extent of resource utilization are the two major components of Cloud Computing. The accurate modelling and simulation of flow of processes in cloud environment is an essential part of service level architecture. In this paper, an analytical model has been developed for identifying the pattern of inter-arrival processes and the service of processes. Empirical studies have shown that failure of processes after assignment to a suitable resource may affect the service pattern of the scheduling. Hence, the assumption that inter arrival, and service of processes are Poisson in nature does not always hold true, as it does not represent the real dynamics involved in service level cloud. The proposed paper has recognized the distribution pattern dynamically and scheduled the processes based on the distribution characteristics thus making the system more robust and dynamic. A fault tolerant mechanism has been built by rescheduling the failed processes.