{"title":"低成本的应用程序映像分布在全球云前端服务器上","authors":"Yang Liu, Shi Bai, Weiyi Zhang, Jun Zhang","doi":"10.1109/INFCOMW.2011.5928895","DOIUrl":null,"url":null,"abstract":"Cloud computing opens a new area of supplement, consumption, and delivery framework for IT services. Customers could be able to order Virtual Applications through the cloud. To reduce the latency time, the cloud service providers implement some strategies (e.g., cloudfront service [1]) to speed up the applications delivery. However, these strategies do not consider the profit of application providers. In this paper we address the problem which is to maximize the profit of application providers based on the Original-Front server network model. We studied two different scenarios and proposed two efficient heuristic algorithms. Our simulation results show that our heuristic algorithms can increase the profit of application providers significantly.","PeriodicalId":402219,"journal":{"name":"2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Low-cost application image distribution on worldwide cloud front server\",\"authors\":\"Yang Liu, Shi Bai, Weiyi Zhang, Jun Zhang\",\"doi\":\"10.1109/INFCOMW.2011.5928895\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cloud computing opens a new area of supplement, consumption, and delivery framework for IT services. Customers could be able to order Virtual Applications through the cloud. To reduce the latency time, the cloud service providers implement some strategies (e.g., cloudfront service [1]) to speed up the applications delivery. However, these strategies do not consider the profit of application providers. In this paper we address the problem which is to maximize the profit of application providers based on the Original-Front server network model. We studied two different scenarios and proposed two efficient heuristic algorithms. Our simulation results show that our heuristic algorithms can increase the profit of application providers significantly.\",\"PeriodicalId\":402219,\"journal\":{\"name\":\"2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)\",\"volume\":\"137 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INFCOMW.2011.5928895\",\"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 Conference on Computer Communications Workshops (INFOCOM WKSHPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFCOMW.2011.5928895","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Low-cost application image distribution on worldwide cloud front server
Cloud computing opens a new area of supplement, consumption, and delivery framework for IT services. Customers could be able to order Virtual Applications through the cloud. To reduce the latency time, the cloud service providers implement some strategies (e.g., cloudfront service [1]) to speed up the applications delivery. However, these strategies do not consider the profit of application providers. In this paper we address the problem which is to maximize the profit of application providers based on the Original-Front server network model. We studied two different scenarios and proposed two efficient heuristic algorithms. Our simulation results show that our heuristic algorithms can increase the profit of application providers significantly.