{"title":"调查部署配置和用户需求对亚马逊EC2云中的社交网络应用程序的影响","authors":"Matheus Cunha, N. Mendonça, Américo Sampaio","doi":"10.1109/CloudCom.2011.115","DOIUrl":null,"url":null,"abstract":"One of the main challenges faced by current users of infrastructure-as-a-service (IaaS) clouds are the difficulties to estimate cloud resources according to their application needs. Even though cloud platforms are elastic and provide fast means to acquire or release resources it is important to understand the best ways to do that considering a diversity of providers with many different resource types and prices. This work reports on an experimental investigation conducted on a popular cloud benchmark based on a social network application running on top of the Amazon EC2 cloud. Our experiments aim at finding cost-effective ways to select the different EC2 resource types and deployment configurations based on the demand imposed to the application (measured in number of simultaneous users) and identify the configuration that gives the best return in terms of its cost per user.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Investigating the Impact of Deployment Configuration and User Demand on a Social Network Application in the Amazon EC2 Cloud\",\"authors\":\"Matheus Cunha, N. Mendonça, Américo Sampaio\",\"doi\":\"10.1109/CloudCom.2011.115\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One of the main challenges faced by current users of infrastructure-as-a-service (IaaS) clouds are the difficulties to estimate cloud resources according to their application needs. Even though cloud platforms are elastic and provide fast means to acquire or release resources it is important to understand the best ways to do that considering a diversity of providers with many different resource types and prices. This work reports on an experimental investigation conducted on a popular cloud benchmark based on a social network application running on top of the Amazon EC2 cloud. Our experiments aim at finding cost-effective ways to select the different EC2 resource types and deployment configurations based on the demand imposed to the application (measured in number of simultaneous users) and identify the configuration that gives the best return in terms of its cost per user.\",\"PeriodicalId\":427190,\"journal\":{\"name\":\"2011 IEEE Third International Conference on Cloud Computing Technology and Science\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE Third International Conference on Cloud Computing Technology and Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CloudCom.2011.115\",\"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 IEEE Third International Conference on Cloud Computing Technology and Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CloudCom.2011.115","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Investigating the Impact of Deployment Configuration and User Demand on a Social Network Application in the Amazon EC2 Cloud
One of the main challenges faced by current users of infrastructure-as-a-service (IaaS) clouds are the difficulties to estimate cloud resources according to their application needs. Even though cloud platforms are elastic and provide fast means to acquire or release resources it is important to understand the best ways to do that considering a diversity of providers with many different resource types and prices. This work reports on an experimental investigation conducted on a popular cloud benchmark based on a social network application running on top of the Amazon EC2 cloud. Our experiments aim at finding cost-effective ways to select the different EC2 resource types and deployment configurations based on the demand imposed to the application (measured in number of simultaneous users) and identify the configuration that gives the best return in terms of its cost per user.