{"title":"分布式系统中的动态负载均衡","authors":"E. Gelenbe, R. Kushwaha","doi":"10.1109/MASCOT.1994.284415","DOIUrl":null,"url":null,"abstract":"We design and evaluate novel adaptive load balancing algorithms for processes in an MIMD architecture. We introduce a gradient descent paradigm to compute on-line load balancing decisions and implement it on an nCube target architecture. Our measurements show that such algorithms will substantially improve distributed system performance.<<ETX>>","PeriodicalId":288344,"journal":{"name":"Proceedings of International Workshop on Modeling, Analysis and Simulation of Computer and Telecommunication Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":"{\"title\":\"Dynamic load balancing in distributed systems\",\"authors\":\"E. Gelenbe, R. Kushwaha\",\"doi\":\"10.1109/MASCOT.1994.284415\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We design and evaluate novel adaptive load balancing algorithms for processes in an MIMD architecture. We introduce a gradient descent paradigm to compute on-line load balancing decisions and implement it on an nCube target architecture. Our measurements show that such algorithms will substantially improve distributed system performance.<<ETX>>\",\"PeriodicalId\":288344,\"journal\":{\"name\":\"Proceedings of International Workshop on Modeling, Analysis and Simulation of Computer and Telecommunication Systems\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-01-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of International Workshop on Modeling, Analysis and Simulation of Computer and Telecommunication Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MASCOT.1994.284415\",\"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 of International Workshop on Modeling, Analysis and Simulation of Computer and Telecommunication Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MASCOT.1994.284415","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We design and evaluate novel adaptive load balancing algorithms for processes in an MIMD architecture. We introduce a gradient descent paradigm to compute on-line load balancing decisions and implement it on an nCube target architecture. Our measurements show that such algorithms will substantially improve distributed system performance.<>