{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,16]],"date-time":"2025-06-16T06:44:06Z","timestamp":1750056246304},"reference-count":18,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2020,5,29]],"date-time":"2020-05-29T00:00:00Z","timestamp":1590710400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,12,16]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>The explosive growth of network data traffic puts new demands on traffic scheduling. In this paper, the scheduling algorithm based on the software-defined network (SDN) architecture is studied. Firstly, the SDN architecture was introduced, then an SDN-based adaptive multi-path load balancing algorithm was proposed and finally the algorithm was simulated on the Mininet simulation platform to compare the performance of the proposed algorithm and traditional equal-cost multi-path routing algorithm by using Ryu as the controller. It was found that the proposed algorithm had greater throughput, higher bandwidth utilization and shorter transmission time in allocation scheduling of network data traffic, which could effectively reduce network congestion and ensure the reliability of the network. This study verifies the effectiveness of the proposed method in allocation scheduling of network data traffic and provides some theoretical bases for the further application of the SDN architecture-based allocation scheduling algorithm.<\/jats:p>","DOI":"10.1093\/imamci\/dnaa011","type":"journal-article","created":{"date-parts":[[2020,4,30]],"date-time":"2020-04-30T12:43:27Z","timestamp":1588250607000},"page":"1237-1247","source":"Crossref","is-referenced-by-count":11,"title":["Multi-path Allocation Scheduling Optimization Algorithm for Network Data Traffic Based on SDN Architecture"],"prefix":"10.1093","volume":"37","author":[{"given":"Lihua","family":"Lu","sequence":"first","affiliation":[{"name":"School of Computer Science, Northwest Polytechnic University, Xi\u2019an, Shaanxi 710129, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2020,5,29]]},"reference":[{"key":"2020121600134406100_ref13","first-page":"53","article-title":"DiFS: distributed flow scheduling for adaptive routing in hierarchical data center networks","volume":"105","author":"Cui","year":"2017","journal-title":"Comput. 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