{"title":"为cloudlets实现分布式、公平、截止日期驱动的资源分配","authors":"Stratos Dimopoulos, C. Krintz, R. Wolski","doi":"10.1145/3366614.3368102","DOIUrl":null,"url":null,"abstract":"In this paper we present our vision for a two-level, distributed resource allocator that preserves fairness and satisfies deadlines of low latency workloads in a multi-cloudlet environment with offloading support. We analyze the opportunities and challenges that offloading and the multi-cloud environment impose and we suggest the changes required to a fair-preserving and deadline-driven resource allocator originally designed for resource-constrained environments.","PeriodicalId":395022,"journal":{"name":"Proceedings of the 4th Workshop on Middleware for Edge Clouds & Cloudlets","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Towards distributed, fair, deadline-driven resource allocation for cloudlets\",\"authors\":\"Stratos Dimopoulos, C. Krintz, R. Wolski\",\"doi\":\"10.1145/3366614.3368102\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we present our vision for a two-level, distributed resource allocator that preserves fairness and satisfies deadlines of low latency workloads in a multi-cloudlet environment with offloading support. We analyze the opportunities and challenges that offloading and the multi-cloud environment impose and we suggest the changes required to a fair-preserving and deadline-driven resource allocator originally designed for resource-constrained environments.\",\"PeriodicalId\":395022,\"journal\":{\"name\":\"Proceedings of the 4th Workshop on Middleware for Edge Clouds & Cloudlets\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 4th Workshop on Middleware for Edge Clouds & Cloudlets\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3366614.3368102\",\"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 4th Workshop on Middleware for Edge Clouds & Cloudlets","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3366614.3368102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards distributed, fair, deadline-driven resource allocation for cloudlets
In this paper we present our vision for a two-level, distributed resource allocator that preserves fairness and satisfies deadlines of low latency workloads in a multi-cloudlet environment with offloading support. We analyze the opportunities and challenges that offloading and the multi-cloud environment impose and we suggest the changes required to a fair-preserving and deadline-driven resource allocator originally designed for resource-constrained environments.
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