{"title":"基于排队理论的最优负载均衡策略建模","authors":"François Spies","doi":"10.1016/0165-6074(95)00006-2","DOIUrl":null,"url":null,"abstract":"<div><p>The aim of this article is to present an original modeling of dynamic load balancing, using queueing theory and probabilities. After briefly presenting the dynamic load balancing techniques, we model the <em>optimal</em> strategy. We verify the analytical results by using simulation techniques. This modeling method is applicable to other strategies, incorporating a greater number of variables. The analysis of the results obtained by the optimal model allows us to progress to the elaboration of other strategies to improve load balancing efficiency.</p></div>","PeriodicalId":100927,"journal":{"name":"Microprocessing and Microprogramming","volume":"41 8","pages":"Pages 555-570"},"PeriodicalIF":0.0000,"publicationDate":"1996-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0165-6074(95)00006-2","citationCount":"30","resultStr":"{\"title\":\"Modeling of optimal load balancing strategy using queueing theory\",\"authors\":\"François Spies\",\"doi\":\"10.1016/0165-6074(95)00006-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The aim of this article is to present an original modeling of dynamic load balancing, using queueing theory and probabilities. After briefly presenting the dynamic load balancing techniques, we model the <em>optimal</em> strategy. We verify the analytical results by using simulation techniques. This modeling method is applicable to other strategies, incorporating a greater number of variables. The analysis of the results obtained by the optimal model allows us to progress to the elaboration of other strategies to improve load balancing efficiency.</p></div>\",\"PeriodicalId\":100927,\"journal\":{\"name\":\"Microprocessing and Microprogramming\",\"volume\":\"41 8\",\"pages\":\"Pages 555-570\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/0165-6074(95)00006-2\",\"citationCount\":\"30\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Microprocessing and Microprogramming\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/0165607495000062\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microprocessing and Microprogramming","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0165607495000062","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling of optimal load balancing strategy using queueing theory
The aim of this article is to present an original modeling of dynamic load balancing, using queueing theory and probabilities. After briefly presenting the dynamic load balancing techniques, we model the optimal strategy. We verify the analytical results by using simulation techniques. This modeling method is applicable to other strategies, incorporating a greater number of variables. The analysis of the results obtained by the optimal model allows us to progress to the elaboration of other strategies to improve load balancing efficiency.