{"title":"基于M/G/ M队列的云计算中心建模","authors":"Hamzeh Khazaei, J. Misic, V. Mišić","doi":"10.1109/ICDCSW.2011.13","DOIUrl":null,"url":null,"abstract":"Cloud computing is a new computing paradigm, whereby shared resources such as infrastructure, hardware platform, and software applications are provided to users on-demand over the internet (Cloud) as services. Successful provision of infrastructure-as-a-service (IaaS) and, consequently, widespread adoption of cloud computing necessitates accurate performance evaluation that allows service providers to dimension their resources in order to fulfil the service level agreements with their customers. In this paper, we describe an analytical model for performance evaluation of cloud server farms, and demonstrate the manner in which important performance indicators such as request response time and number of tasks in the system may be assessed with sufficient accuracy.","PeriodicalId":133514,"journal":{"name":"2011 31st International Conference on Distributed Computing Systems Workshops","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"51","resultStr":"{\"title\":\"Modelling of Cloud Computing Centers Using M/G/m Queues\",\"authors\":\"Hamzeh Khazaei, J. Misic, V. Mišić\",\"doi\":\"10.1109/ICDCSW.2011.13\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cloud computing is a new computing paradigm, whereby shared resources such as infrastructure, hardware platform, and software applications are provided to users on-demand over the internet (Cloud) as services. Successful provision of infrastructure-as-a-service (IaaS) and, consequently, widespread adoption of cloud computing necessitates accurate performance evaluation that allows service providers to dimension their resources in order to fulfil the service level agreements with their customers. In this paper, we describe an analytical model for performance evaluation of cloud server farms, and demonstrate the manner in which important performance indicators such as request response time and number of tasks in the system may be assessed with sufficient accuracy.\",\"PeriodicalId\":133514,\"journal\":{\"name\":\"2011 31st International Conference on Distributed Computing Systems Workshops\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"51\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 31st International Conference on Distributed Computing Systems Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDCSW.2011.13\",\"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 31st International Conference on Distributed Computing Systems Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDCSW.2011.13","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modelling of Cloud Computing Centers Using M/G/m Queues
Cloud computing is a new computing paradigm, whereby shared resources such as infrastructure, hardware platform, and software applications are provided to users on-demand over the internet (Cloud) as services. Successful provision of infrastructure-as-a-service (IaaS) and, consequently, widespread adoption of cloud computing necessitates accurate performance evaluation that allows service providers to dimension their resources in order to fulfil the service level agreements with their customers. In this paper, we describe an analytical model for performance evaluation of cloud server farms, and demonstrate the manner in which important performance indicators such as request response time and number of tasks in the system may be assessed with sufficient accuracy.