Intelligent Segment Routing: Toward Load Balancing with Limited Control Overheads
作者机构:College of Computer Science and Software EngineeringShenzhen UniversityShenzhen 518000China Tsinghua Shenzhen International Graduate SchoolTsinghua UniversityShenzhen 518071China
出 版 物:《Big Data Mining and Analytics》 (大数据挖掘与分析(英文))
年 卷 期:2023年第6卷第1期
页 面:55-71页
核心收录:
学科分类:12[管理学] 02[经济学] 0202[经济学-应用经济学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 020204[经济学-金融学(含∶保险学)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:supported in part by the National Natural Science Foundation of China(Nos.61772345 and 61902258) the Major Fundamental Research Project in the Science and Technology Plan of Shenzhen(Nos.JCYJ20190808142207420,GJHZ20190822095416463,and RCYX20200714114645048) the Natural Science Foundation of Guangdong Basic and Applied Basic Research(No.2021A1515011857) the Pearl River Young Scholars Funding of Shenzhen University
主 题:traffic engineering segment routing bandwidth load balancing ant colony optimization
摘 要:Segment routing has been a novel architecture for traffic engineering in recent ***,segment routing brings control overheads,i.e.,additional packets headers should be *** overheads can greatly reduce the forwarding efficiency for a large network,when segment headers become too *** achieve the best of two targets,we propose the intelligent routing scheme for traffic engineering(IRTE),which can achieve load balancing with limited control *** achieve optimal performance,we first formulate the problem as a mapping problem that maps different flows to key diversion ***,we prove the problem is nondeterministic polynomial(NP)-hard by reducing it to a k-dense subgraph *** solve this problem,we develop an ant colony optimization algorithm as improved ant colony optimization(IACO),which is widely used in network optimization *** also design the load balancing algorithm with diversion routing(LBA-DR),and analyze its theoretical ***,we evaluate the IRTE in different real-world topologies,and the results show that the IRTE outperforms traditional algorithms,e.g.,the maximum bandwidth is 24.6% lower than that of traditional algorithms when evaluating on BellCanada topology.