{"title":"无连接网络层计算机网络中的拥塞避免:概念、目标和方法","authors":"Raj Jain, K. Ramakrishnan","doi":"10.1109/CNS.1988.4990","DOIUrl":null,"url":null,"abstract":"The authors compare the concept of congestion with that of flow control and congestion control. A number of possible alternatives for congestion avoidance are identified. From these a few are selected for study. The criteria for selection and goals for these schemes are described. In particular, the authors wanted the scheme to be globally efficient, fair, dynamic, convergent, robust, distributed, configuration-independent, etc. They model the network and the user policies for congestion avoidance as a feedback control system. The key components of a generic congestion-avoidance scheme are congestion detection, congestion feedback, feedback selector, signal filter, decision function, and increase/decrease algorithms.<<ETX>>","PeriodicalId":112149,"journal":{"name":"[1988] Proceedings. Computer Networking Symposium","volume":"258 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"38","resultStr":"{\"title\":\"Congestion avoidance in computer networks with a connectionless network layer: concepts, goals and methodology\",\"authors\":\"Raj Jain, K. Ramakrishnan\",\"doi\":\"10.1109/CNS.1988.4990\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors compare the concept of congestion with that of flow control and congestion control. A number of possible alternatives for congestion avoidance are identified. From these a few are selected for study. The criteria for selection and goals for these schemes are described. In particular, the authors wanted the scheme to be globally efficient, fair, dynamic, convergent, robust, distributed, configuration-independent, etc. They model the network and the user policies for congestion avoidance as a feedback control system. The key components of a generic congestion-avoidance scheme are congestion detection, congestion feedback, feedback selector, signal filter, decision function, and increase/decrease algorithms.<<ETX>>\",\"PeriodicalId\":112149,\"journal\":{\"name\":\"[1988] Proceedings. Computer Networking Symposium\",\"volume\":\"258 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"38\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1988] Proceedings. Computer Networking Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CNS.1988.4990\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1988] Proceedings. Computer Networking Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNS.1988.4990","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Congestion avoidance in computer networks with a connectionless network layer: concepts, goals and methodology
The authors compare the concept of congestion with that of flow control and congestion control. A number of possible alternatives for congestion avoidance are identified. From these a few are selected for study. The criteria for selection and goals for these schemes are described. In particular, the authors wanted the scheme to be globally efficient, fair, dynamic, convergent, robust, distributed, configuration-independent, etc. They model the network and the user policies for congestion avoidance as a feedback control system. The key components of a generic congestion-avoidance scheme are congestion detection, congestion feedback, feedback selector, signal filter, decision function, and increase/decrease algorithms.<>