C. Mesquita, Ulisses Cavalca, A. Pereira, E. G. Carrano
{"title":"一种网络系统流量整形优化方法","authors":"C. Mesquita, Ulisses Cavalca, A. Pereira, E. G. Carrano","doi":"10.1145/2526188.2526190","DOIUrl":null,"url":null,"abstract":"In recent years, computer networks have been characterized by heterogeneous traffic and dynamic management of different kinds of services. The web and network requirements have increased within time and, since bandwidth is limited, it becomes necessary to employ optimization procedures in order to make the network able to operate in its full capacity. Traffic shaping mechanisms implement Quality of Service (QoS) concepts to ensure acceptable service levels. This paper describes an approach for traffic shaping optimization. It is proposed a methodology based on throughput and packet loss optimization using genetic algorithms. This method was validated using actual data from a network infrastructure of a Public Educational Institution.","PeriodicalId":114454,"journal":{"name":"Brazilian Symposium on Multimedia and the Web","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A traffic shaping optimization methodology for web systems\",\"authors\":\"C. Mesquita, Ulisses Cavalca, A. Pereira, E. G. Carrano\",\"doi\":\"10.1145/2526188.2526190\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, computer networks have been characterized by heterogeneous traffic and dynamic management of different kinds of services. The web and network requirements have increased within time and, since bandwidth is limited, it becomes necessary to employ optimization procedures in order to make the network able to operate in its full capacity. Traffic shaping mechanisms implement Quality of Service (QoS) concepts to ensure acceptable service levels. This paper describes an approach for traffic shaping optimization. It is proposed a methodology based on throughput and packet loss optimization using genetic algorithms. This method was validated using actual data from a network infrastructure of a Public Educational Institution.\",\"PeriodicalId\":114454,\"journal\":{\"name\":\"Brazilian Symposium on Multimedia and the Web\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Brazilian Symposium on Multimedia and the Web\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2526188.2526190\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brazilian Symposium on Multimedia and the Web","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2526188.2526190","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A traffic shaping optimization methodology for web systems
In recent years, computer networks have been characterized by heterogeneous traffic and dynamic management of different kinds of services. The web and network requirements have increased within time and, since bandwidth is limited, it becomes necessary to employ optimization procedures in order to make the network able to operate in its full capacity. Traffic shaping mechanisms implement Quality of Service (QoS) concepts to ensure acceptable service levels. This paper describes an approach for traffic shaping optimization. It is proposed a methodology based on throughput and packet loss optimization using genetic algorithms. This method was validated using actual data from a network infrastructure of a Public Educational Institution.