{"title":"分布式系统中的网络资源分配:一个全局优化框架","authors":"Z. Wesołowski","doi":"10.1109/CYBConf.2015.7175944","DOIUrl":null,"url":null,"abstract":"The paper proposes a global optimization approach to the network resource allocation problem, where the objective is to maximize the overall data flow through a shared network. In the proposed approach, the utility functions of agents may have different forms, which allows a more realistic modeling of phenomena occurring in computer networks. To solve the optimization problem, a modified gradient projection method has been applied.","PeriodicalId":177233,"journal":{"name":"2015 IEEE 2nd International Conference on Cybernetics (CYBCONF)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Network resource allocation in distributed systems: A global optimization framework\",\"authors\":\"Z. Wesołowski\",\"doi\":\"10.1109/CYBConf.2015.7175944\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper proposes a global optimization approach to the network resource allocation problem, where the objective is to maximize the overall data flow through a shared network. In the proposed approach, the utility functions of agents may have different forms, which allows a more realistic modeling of phenomena occurring in computer networks. To solve the optimization problem, a modified gradient projection method has been applied.\",\"PeriodicalId\":177233,\"journal\":{\"name\":\"2015 IEEE 2nd International Conference on Cybernetics (CYBCONF)\",\"volume\":\"64 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE 2nd International Conference on Cybernetics (CYBCONF)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CYBConf.2015.7175944\",\"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 IEEE 2nd International Conference on Cybernetics (CYBCONF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CYBConf.2015.7175944","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Network resource allocation in distributed systems: A global optimization framework
The paper proposes a global optimization approach to the network resource allocation problem, where the objective is to maximize the overall data flow through a shared network. In the proposed approach, the utility functions of agents may have different forms, which allows a more realistic modeling of phenomena occurring in computer networks. To solve the optimization problem, a modified gradient projection method has been applied.