{"title":"软件定义网络的自适应异化蚁群算法","authors":"A. Stefano, G. Cammarata, G. Morana, D. Zito","doi":"10.1109/3PGCIC.2015.120","DOIUrl":null,"url":null,"abstract":"This paper introduces A4SDN, a distributed, adaptive, load-balancing algorithm for traffic engineering on Software-Defined Networks. A4SDN, i.e. the Adaptive Alienated Ant Algorithm for Software-Defined Networking, is based on the Alienated Ant Algorithm (AAA), a stochastic-based, heuristic approach used to solve combinatorial and multi-constraint optimisation problems. Based on a non natural ants' behaviour, the AAA forces the ants in searching for food to distribute themselves over all the available paths rather than converge to a single one. This strategy, applied to the packets to route, supplies an autonomic dynamic routing and leads to a better exploitation of the network bandwidth, enforcing best effort traffic and improving network performance. A comparison between A4SDN with two Dijkstra-based routing solutions clearly shows that A4SDN is able to guarantee a higher throughput associated with a lower delay and packet loss rate.","PeriodicalId":395401,"journal":{"name":"2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"A4SDN - Adaptive Alienated Ant Algorithm for Software-Defined Networking\",\"authors\":\"A. Stefano, G. Cammarata, G. Morana, D. Zito\",\"doi\":\"10.1109/3PGCIC.2015.120\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces A4SDN, a distributed, adaptive, load-balancing algorithm for traffic engineering on Software-Defined Networks. A4SDN, i.e. the Adaptive Alienated Ant Algorithm for Software-Defined Networking, is based on the Alienated Ant Algorithm (AAA), a stochastic-based, heuristic approach used to solve combinatorial and multi-constraint optimisation problems. Based on a non natural ants' behaviour, the AAA forces the ants in searching for food to distribute themselves over all the available paths rather than converge to a single one. This strategy, applied to the packets to route, supplies an autonomic dynamic routing and leads to a better exploitation of the network bandwidth, enforcing best effort traffic and improving network performance. A comparison between A4SDN with two Dijkstra-based routing solutions clearly shows that A4SDN is able to guarantee a higher throughput associated with a lower delay and packet loss rate.\",\"PeriodicalId\":395401,\"journal\":{\"name\":\"2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/3PGCIC.2015.120\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/3PGCIC.2015.120","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A4SDN - Adaptive Alienated Ant Algorithm for Software-Defined Networking
This paper introduces A4SDN, a distributed, adaptive, load-balancing algorithm for traffic engineering on Software-Defined Networks. A4SDN, i.e. the Adaptive Alienated Ant Algorithm for Software-Defined Networking, is based on the Alienated Ant Algorithm (AAA), a stochastic-based, heuristic approach used to solve combinatorial and multi-constraint optimisation problems. Based on a non natural ants' behaviour, the AAA forces the ants in searching for food to distribute themselves over all the available paths rather than converge to a single one. This strategy, applied to the packets to route, supplies an autonomic dynamic routing and leads to a better exploitation of the network bandwidth, enforcing best effort traffic and improving network performance. A comparison between A4SDN with two Dijkstra-based routing solutions clearly shows that A4SDN is able to guarantee a higher throughput associated with a lower delay and packet loss rate.