Green saudi national fibre network (SNFN)

In 2015, there were more than 21 Million active users of the Internet in Saudi Arabia. In the present paper, we consider minimizing the power consumption of the Saudi National Fibre Network (SNFN) by formulating the problem as a mixed integer linear programming (MILP) model. Firstly, we optimize the location of single or multiple data centres in the SNFN under a traffic profile based on a gravity model where the production rate and attractiveness of each node is proportional to the population of that node. We evaluate the network power consumption considering three scenarios of data centre locations. The MILP model results show that identifying the optimum data centre locations can save up to 53% of the network power consumption compared to the random data centre locations. Secondly, we optimize the SNFN physical topology considering different data centers locations. Moreover, the model results show that optimizing the network physical topology can save up to 76% of the total power consumption compared to the current topology.