Application of Markov chains (processes) for optimizing a random process?

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I am trying to develop a resource allocation model for certain telecommunication application. I have to model my working environment as Markov Process. My question is, Can I perform optimization (or resource allocation w/ optimization) with Markovian models?

Another way around would be to learn optimization theory and I want to skip it if somehow Markov can handle all this.

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As my latest Understanding(and as commented by @fesman), Markov chain is enough to model the process, but some kind of optimization is necessary. This is my understanding that what kind of optimization methods can be used

  1. Linear/non-linear optimization techniques
  2. Graph coloring techniques
  3. Game theoretic approaches
  4. may be some extra!