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LBBESA: An efficient software‐defined networking load‐balancing scheme based on elevator scheduling algorithm
Author(s) -
Li Qiliang,
Cui Jie,
Zhong Hong,
Du Yichao,
Luo Yonglong,
Liu Lu
Publication year - 2020
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.5222
Subject(s) - computer science , load balancing (electrical power) , elevator , scalability , scheduling (production processes) , distributed computing , software defined networking , architecture , computer network , algorithm , operating system , mathematical optimization , engineering , art , geometry , mathematics , structural engineering , visual arts , grid
Summary Elevator scheduling algorithms generally denote methods used to calculate how to use the elevator. These algorithms can distribute elevators to various floors of a building, thereby achieving efficient transportation. From the perspective of the elevator scheduling problem, we address the load‐balancing problem for software‐defined networking (SDN) architecture and propose a load‐balancing method based on the elevator scheduling algorithm, LBBESA. We take advantage of the flexibility of the SDN architecture, obtain the real‐time load of the server through real‐time statistical analyses of the SDN switch port traffic by the controller, and combine this with the idea of regional elevator allocation to coordinate the connection of the client's requests and realize the load balancing of each server in the cluster. Simulation experiments show that, compared with the round‐robin algorithm, LBBESA is more effective in the load balancing of the server pool and can improve the throughput of the server pool to a certain extent. In addition, our scheme is easy to implement and has high scalability.