Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  focus on the problem of reducing por consumption in backbone networks by putting in sleep mode IP links in order to save energy.  propose a new algorithm, called DAFNES, which relies on the stress centrality index in order to take the switch off decision. Differently from previous work in the literature, our algorithm requires neither the complete knowledge of the traffic matrix nor a careful tuning of the input parameters. Results, obtained over two realistic case studies, prove the efficiency and efficacy of our solution, with more than 50% of por saving while preserving Quality of Service constraints in terms of network connectivity, link congestion avoidance and increase of path lengths. Moreover,  show that the extra overhead required for running the distributed solution is limited compared to the amount of traffic exchanged in the network by the users. Finally,  face different implementation issues, including: (i) the reduction of the number of times our solution is applied, (ii) the evaluation of the algorithm performance on an emulated testbed.
['Federico Patota', 'Luca Chiaraviglio', 'Francesco Bella', 'Vincenzo Deriu', 'Silvia Fortunato', 'Francesca Cuomo']
I am writing a research paper on a idea DAFNES: A distributed algorithm for network energy saving based on stress-centrality
[{"from": "human", "value": "I am writing a research paper on a idea DAFNES: A distributed algorithm for network energy saving based on stress-centrality"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  focus on the problem of reducing por consumption in backbone networks by putting in sleep mode IP links in order to save energy.  propose a new algorithm, called DAFNES, which relies on the stress centrality index in order to take the switch off decision. Differently from previous work in the literature, our algorithm requires neither the complete knowledge of the traffic matrix nor a careful tuning of the input parameters. Results, obtained over two realistic case studies, prove the efficiency and efficacy of our solution, with more than 50% of por saving while preserving Quality of Service constraints in terms of network connectivity, link congestion avoidance and increase of path lengths. Moreover,  show that the extra overhead required for running the distributed solution is limited compared to the amount of traffic exchanged in the network by the users. Finally,  face different implementation issues, including: (i) the reduction of the number of times our solution is applied, (ii) the evaluation of the algorithm performance on an emulated testbed."}]