Abstract

The network candidate routing data stream is restricted to reroute the data stream of same origin and same destination, which brings great limitation to the application of the algorithm. This paper proposes a multi-objective optimization oriented rerouting algorithm for congested data streams. The algorithm detects and aggregates data streams on congested links, and reroutes the detected data streams. When there is no data stream, the data streams are arranged from large to small in the congested links, and the appropriate number of data streams are selected as candidate data streams, and small streams are aggregated by source and destination addresses. In order to determine the maximum network traffic and the optimal routing of candidate data streams, multi-objective optimization is introduced to jointly optimize the network load data stream maximization and network load balancing. Finally, a non dominated genetic algorithm with elite strategy is designed to solve the multi-objective optimization problem.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call