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The Markov chain is the mathematical system that transitions from one state to another state. A transition matrix that defines the possibilities of transition from one state to another is used to tally the transitions [24]. The Markov chain is one of the critical stochastic processes. The present state grasps all the information and uses it for the process’s future evolution [25]. The Markov chain model comes under the stochastic offloading process [25]. Among many processes, the Markov chain model is chosen where dynamic decision making is the requirement considering environmental parameters like wireless channel conditions and computation load [24].