Abstract
This paper presents green service level agreement (GSLA) awareness for the hybrid and traditional routing mechanisms by proposing a mathematical model for the amount of route greenness, and proposing two algorithms for the adoption of GSLA. The effect of the adoption of GSLA on a network that on average has green energy available for longer duration of a day is modeled by defining a one-step two-by-two Markov matrix and representing the transformation through a state machine. This work also examines a re-provisioning algorithm to deal with the effect of re-provisioning of the established lightpaths in case of a change in the topology of a network. To study the effect of adopting GSLA, two Scenarios with different arrival rates of connections and four performance parameters such as average emission per lambda, average connection length, GSLA satisfaction and success rate are defined and analyzed over NSFnet. Results reveal that adopting the GSLA by routing mechanisms decreases the resource efficiency with both light and heavy traffic in return for less reduction in emission as compared to green and hybrid routing mechanisms.
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