{"title":"多地点企业的高效容量配置:公共云的案例","authors":"Patrick Hummel, M. Schwarz","doi":"10.1145/3490486.3538281","DOIUrl":null,"url":null,"abstract":"We analyze a model in which a firm with multiple locations chooses capacity and prices to maximize efficiency. We find that the firm provisions capacity in such a way that the expected fraction of demand that will be unfilled is lower in locations with greater expected demand. The firm also sets lower prices in larger locations. Finally, if a customer is indifferent between multiple locations, then it is more efficient to place this customer in a location with greater expected demand. These theoretical results are consistent with empirical evidence that we present from a major public cloud provider.","PeriodicalId":209859,"journal":{"name":"Proceedings of the 23rd ACM Conference on Economics and Computation","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Efficient Capacity Provisioning for Firms with Multiple Locations: The Case of the Public Cloud\",\"authors\":\"Patrick Hummel, M. Schwarz\",\"doi\":\"10.1145/3490486.3538281\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We analyze a model in which a firm with multiple locations chooses capacity and prices to maximize efficiency. We find that the firm provisions capacity in such a way that the expected fraction of demand that will be unfilled is lower in locations with greater expected demand. The firm also sets lower prices in larger locations. Finally, if a customer is indifferent between multiple locations, then it is more efficient to place this customer in a location with greater expected demand. These theoretical results are consistent with empirical evidence that we present from a major public cloud provider.\",\"PeriodicalId\":209859,\"journal\":{\"name\":\"Proceedings of the 23rd ACM Conference on Economics and Computation\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 23rd ACM Conference on Economics and Computation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3490486.3538281\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 23rd ACM Conference on Economics and Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3490486.3538281","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Efficient Capacity Provisioning for Firms with Multiple Locations: The Case of the Public Cloud
We analyze a model in which a firm with multiple locations chooses capacity and prices to maximize efficiency. We find that the firm provisions capacity in such a way that the expected fraction of demand that will be unfilled is lower in locations with greater expected demand. The firm also sets lower prices in larger locations. Finally, if a customer is indifferent between multiple locations, then it is more efficient to place this customer in a location with greater expected demand. These theoretical results are consistent with empirical evidence that we present from a major public cloud provider.
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