{"title":"虹吸:用于广域数据分析中数据中心间传输的高性能基板","authors":"Shuhao Liu, Li Chen, Baochun Li","doi":"10.1145/3127479.3132561","DOIUrl":null,"url":null,"abstract":"Large volumes of raw data are naturally generated in multiple geographical regions. Modern data parallel frameworks may suffer from a degraded performance, due to the much lower inter-datacenter WAN bandwidth. We present Siphon, a new high-performance substrate that improves the ability of modern data parallel frameworks to optimize WAN transfers. Siphon aggregates inter-datacenter flows and routes them with the awareness of runtime network capacities. Following the principles of software-defined networking, Siphon is designed to accommodate a variety of flow scheduling algorithms that can improve the job level performance.","PeriodicalId":20679,"journal":{"name":"Proceedings of the 2017 Symposium on Cloud Computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Siphon: a high-performance substrate for inter-datacenter transfers in wide-area data analytics\",\"authors\":\"Shuhao Liu, Li Chen, Baochun Li\",\"doi\":\"10.1145/3127479.3132561\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Large volumes of raw data are naturally generated in multiple geographical regions. Modern data parallel frameworks may suffer from a degraded performance, due to the much lower inter-datacenter WAN bandwidth. We present Siphon, a new high-performance substrate that improves the ability of modern data parallel frameworks to optimize WAN transfers. Siphon aggregates inter-datacenter flows and routes them with the awareness of runtime network capacities. Following the principles of software-defined networking, Siphon is designed to accommodate a variety of flow scheduling algorithms that can improve the job level performance.\",\"PeriodicalId\":20679,\"journal\":{\"name\":\"Proceedings of the 2017 Symposium on Cloud Computing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2017 Symposium on Cloud Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3127479.3132561\",\"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 2017 Symposium on Cloud Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3127479.3132561","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Siphon: a high-performance substrate for inter-datacenter transfers in wide-area data analytics
Large volumes of raw data are naturally generated in multiple geographical regions. Modern data parallel frameworks may suffer from a degraded performance, due to the much lower inter-datacenter WAN bandwidth. We present Siphon, a new high-performance substrate that improves the ability of modern data parallel frameworks to optimize WAN transfers. Siphon aggregates inter-datacenter flows and routes them with the awareness of runtime network capacities. Following the principles of software-defined networking, Siphon is designed to accommodate a variety of flow scheduling algorithms that can improve the job level performance.
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