{"title":"面向大数据处理的次指数计算服务分析","authors":"S. Zapechnikov, N. Miloslavskaya, A. Tolstoy","doi":"10.1109/FICLOUD.2015.57","DOIUrl":null,"url":null,"abstract":"The paper presents two analytical models to study the performance and availability of queueing systems with the hypo exponential service time and finite queue. The analytical results obtained are verified using discrete-event simulation. A few numerical examples for varying number of service stages, service rates and arrival rates are given. The results presented in the paper can be used for analysis of MapReduce and multi-stage Big Data processing.","PeriodicalId":182204,"journal":{"name":"2015 3rd International Conference on Future Internet of Things and Cloud","volume":"66 5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Analysis of Hypoexponential Computing Services for Big Data Processing\",\"authors\":\"S. Zapechnikov, N. Miloslavskaya, A. Tolstoy\",\"doi\":\"10.1109/FICLOUD.2015.57\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents two analytical models to study the performance and availability of queueing systems with the hypo exponential service time and finite queue. The analytical results obtained are verified using discrete-event simulation. A few numerical examples for varying number of service stages, service rates and arrival rates are given. The results presented in the paper can be used for analysis of MapReduce and multi-stage Big Data processing.\",\"PeriodicalId\":182204,\"journal\":{\"name\":\"2015 3rd International Conference on Future Internet of Things and Cloud\",\"volume\":\"66 5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-08-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 3rd International Conference on Future Internet of Things and Cloud\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FICLOUD.2015.57\",\"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 3rd International Conference on Future Internet of Things and Cloud","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FICLOUD.2015.57","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of Hypoexponential Computing Services for Big Data Processing
The paper presents two analytical models to study the performance and availability of queueing systems with the hypo exponential service time and finite queue. The analytical results obtained are verified using discrete-event simulation. A few numerical examples for varying number of service stages, service rates and arrival rates are given. The results presented in the paper can be used for analysis of MapReduce and multi-stage Big Data processing.
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