{"title":"使用移动代理进行IN负载控制","authors":"B. Carlsson, P. Davidsson, S. Johansson, M. Ohlin","doi":"10.1109/INW.2000.868188","DOIUrl":null,"url":null,"abstract":"In traditional approaches to IN load control, the main focus has been on the protection of individual Service Control Points (SCPs). We argue that better overall solutions will be achieved if the usage of resources was optimized globally at the network level. We also argue that agent technology is a suitable tool for implementing this and that an agent−based solution in addition would provide increased flexibility, adaptability, openness, and robustness.","PeriodicalId":430457,"journal":{"name":"Proceedings 2000 IEEE Intelligent Network Workshop","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Using mobile agents for IN load control\",\"authors\":\"B. Carlsson, P. Davidsson, S. Johansson, M. Ohlin\",\"doi\":\"10.1109/INW.2000.868188\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In traditional approaches to IN load control, the main focus has been on the protection of individual Service Control Points (SCPs). We argue that better overall solutions will be achieved if the usage of resources was optimized globally at the network level. We also argue that agent technology is a suitable tool for implementing this and that an agent−based solution in addition would provide increased flexibility, adaptability, openness, and robustness.\",\"PeriodicalId\":430457,\"journal\":{\"name\":\"Proceedings 2000 IEEE Intelligent Network Workshop\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 2000 IEEE Intelligent Network Workshop\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INW.2000.868188\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 2000 IEEE Intelligent Network Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INW.2000.868188","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In traditional approaches to IN load control, the main focus has been on the protection of individual Service Control Points (SCPs). We argue that better overall solutions will be achieved if the usage of resources was optimized globally at the network level. We also argue that agent technology is a suitable tool for implementing this and that an agent−based solution in addition would provide increased flexibility, adaptability, openness, and robustness.