Research On Energy-Aware Strategy Based On Light-Path Management In Space-Division Multiplexing Elastic Optical Networks

With the continuous emergence of new network services such as big data and cloud computing,network traffic has grown exponentially.The transmission capacity of the traditional elastic optical networks using a single-core fiber has approached its Shannon limit.In order to achieve higher communication transmission capacity,space-division multiplexing elastic optical networks have emerged at the historic moment,and become an effective solution to meet the high bandwidth requirements in the network.At the same time,the increase in network traffic will make the problem of network energy consumption more prominent.The energy-saving design of the entire network for space-division multiplexing elastic optical networks will be of great significance for building a green network.The main content and innovation of the research are divided into the following parts:To effectively reduce the energy consumption,blocking rate and crosstalk of intercore in multi-core optical fibers in space-division multiplexing elastic optical networks,for advance and immediate reservation services,before the establishment of a lightpath,a lightpath sharing energy-saving strategy based on fiber core partitioning is proposed.That is,do our best to package the two services in the network.Then according to the loading state of the packaged service on the pre-established lightpath,the corresponding inter-core crosstalk value is calculated.Finally,a new lightpath is established when the crosstalk limit is met.The simulation results show that,compared with the traditional energy-saving strategies,the proposed strategy can achieve better energy-saving effects and reduce the blocking rate on the premise that the space-multiplexing elastic optical network crosstalk limitation is met.However,the above-mentioned energy-saving method is applicable before the lightpath is established.After the lightpath is established,especially after the network runs for a certain period of time,a large number of idle lightpaths will be generated in the network.To make the best use of idle lightpath in the network,an energy-saving strategy predicting the idle lightpath is proposed.First,the extreme learning machine model was used to predict the traffic volume of each light-path in the network.Thus the idle light-path set and the maintenance time threshold of each idle light-path were obtained.Then,the actual maintenance time of the idle light-path was perceived by the prediction algorithm.Finally,in the light-paths where the actual maintenance time did not exceed the minimum maintenance time threshold and the inter-core crosstalk was lower than the crosstalk threshold,the idle light-path with the least loading energy consumption was selected to carry the new traffic.The simulation results show that,compared with the traditional energy-saving strategies,when the space-multiplexing elastic optical networks crosstalk limitation is satisfied,the proposed strategy can lead to better energy-saving while maintaining the blocking probability at levels compatible.