{"title":"智能医院环境下调度策略的性能评估","authors":"Xiao Chen, N. Thomas, M. Harrison","doi":"10.1109/CyberC.2011.99","DOIUrl":null,"url":null,"abstract":"In this paper we consider the performance of different scheduling policies in a smart environment. Models are generated under a hospital scenario, and are used to simulate patient flow under three scheduling policies. SimJava 2.0 is adopted as the main simulator in this work. The findings generally show that the dynamic scheduling policy has better performance than the static scheduling policy.","PeriodicalId":227472,"journal":{"name":"2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Performance Evaluation of Scheduling Policies in a Smart Hospital Environment\",\"authors\":\"Xiao Chen, N. Thomas, M. Harrison\",\"doi\":\"10.1109/CyberC.2011.99\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we consider the performance of different scheduling policies in a smart environment. Models are generated under a hospital scenario, and are used to simulate patient flow under three scheduling policies. SimJava 2.0 is adopted as the main simulator in this work. The findings generally show that the dynamic scheduling policy has better performance than the static scheduling policy.\",\"PeriodicalId\":227472,\"journal\":{\"name\":\"2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CyberC.2011.99\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CyberC.2011.99","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance Evaluation of Scheduling Policies in a Smart Hospital Environment
In this paper we consider the performance of different scheduling policies in a smart environment. Models are generated under a hospital scenario, and are used to simulate patient flow under three scheduling policies. SimJava 2.0 is adopted as the main simulator in this work. The findings generally show that the dynamic scheduling policy has better performance than the static scheduling policy.