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Research on Model Structure of SDN Based on QoS Strategy
Author(s) -
Jiyuan Ren,
Song Yang,
Zhe Wang,
Fuyang Liu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1748/6/062026
Subject(s) - computer science , data stream mining , streams , data stream , routing (electronic design automation) , maximization , distributed computing , computer network , data mining , mathematical optimization , telecommunications , mathematics
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.

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