{"title":"最小化设计容错CDN数据中心的成本","authors":"S. Vignesh, Rakesh Tripathi, V. Tamarapalli","doi":"10.1109/ANTS.2016.7947791","DOIUrl":null,"url":null,"abstract":"With an increase in the usage of data centers to power content distribution networks (CDN), minimizing the cost of deployment while handling fault-tolerance has become an important research issue. In this work, we demonstrate the importance of cost-aware capacity provisioning in fault-tolerant CDN data centers (that can tolerate failure at a single site). We propose an optimization model that exploits spatio-temporal variation in the electricity price and demand to minimize the total cost of ownership. We use real-world data to show that the cost reduction can be upto 40% compared to the existing model, which minimizes the expected response time by routing requests to a nearby data center.","PeriodicalId":248902,"journal":{"name":"2016 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"431 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Minimizing the cost of designing fault-tolerant CDN data centers\",\"authors\":\"S. Vignesh, Rakesh Tripathi, V. Tamarapalli\",\"doi\":\"10.1109/ANTS.2016.7947791\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With an increase in the usage of data centers to power content distribution networks (CDN), minimizing the cost of deployment while handling fault-tolerance has become an important research issue. In this work, we demonstrate the importance of cost-aware capacity provisioning in fault-tolerant CDN data centers (that can tolerate failure at a single site). We propose an optimization model that exploits spatio-temporal variation in the electricity price and demand to minimize the total cost of ownership. We use real-world data to show that the cost reduction can be upto 40% compared to the existing model, which minimizes the expected response time by routing requests to a nearby data center.\",\"PeriodicalId\":248902,\"journal\":{\"name\":\"2016 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)\",\"volume\":\"431 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANTS.2016.7947791\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANTS.2016.7947791","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Minimizing the cost of designing fault-tolerant CDN data centers
With an increase in the usage of data centers to power content distribution networks (CDN), minimizing the cost of deployment while handling fault-tolerance has become an important research issue. In this work, we demonstrate the importance of cost-aware capacity provisioning in fault-tolerant CDN data centers (that can tolerate failure at a single site). We propose an optimization model that exploits spatio-temporal variation in the electricity price and demand to minimize the total cost of ownership. We use real-world data to show that the cost reduction can be upto 40% compared to the existing model, which minimizes the expected response time by routing requests to a nearby data center.