{"title":"喂养野兽:将数据放入大系统","authors":"B. Gorda","doi":"10.1145/2756594.2756600","DOIUrl":null,"url":null,"abstract":"The distance between compute and data continues to grow and despite being declared \"dead\" a decade ago, the interfaces of the serial world (Posix) are still with us. Is it time to move on and to what? How can we give applications the desired flexibility, consistency and volume of data in large systems composed of thousands or millions of failing parts? The group Brent runs at Intel, the High Performance Data Division, has been shepherding the Lustre file system while working on the riddle of \"what now\" for big systems when it comes to feeding them data.","PeriodicalId":283088,"journal":{"name":"Proceedings of the 2nd International Workshop on Software-Defined Ecosystems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Feeding the Beast: Getting Data into Big Systems\",\"authors\":\"B. Gorda\",\"doi\":\"10.1145/2756594.2756600\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The distance between compute and data continues to grow and despite being declared \\\"dead\\\" a decade ago, the interfaces of the serial world (Posix) are still with us. Is it time to move on and to what? How can we give applications the desired flexibility, consistency and volume of data in large systems composed of thousands or millions of failing parts? The group Brent runs at Intel, the High Performance Data Division, has been shepherding the Lustre file system while working on the riddle of \\\"what now\\\" for big systems when it comes to feeding them data.\",\"PeriodicalId\":283088,\"journal\":{\"name\":\"Proceedings of the 2nd International Workshop on Software-Defined Ecosystems\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2nd International Workshop on Software-Defined Ecosystems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2756594.2756600\",\"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 2nd International Workshop on Software-Defined Ecosystems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2756594.2756600","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
计算和数据之间的距离继续增长，尽管十年前被宣布“死亡”，串行世界的接口(Posix)仍然与我们同在。是时候向前看了吗?我们如何在由数千或数百万个故障部件组成的大型系统中为应用程序提供所需的灵活性、一致性和数据量?布伦特在英特尔(Intel)负责的高性能数据部门(High Performance Data Division)一直在管理Lustre文件系统，同时研究在向大系统提供数据时“现在该怎么办”的难题。
The distance between compute and data continues to grow and despite being declared "dead" a decade ago, the interfaces of the serial world (Posix) are still with us. Is it time to move on and to what? How can we give applications the desired flexibility, consistency and volume of data in large systems composed of thousands or millions of failing parts? The group Brent runs at Intel, the High Performance Data Division, has been shepherding the Lustre file system while working on the riddle of "what now" for big systems when it comes to feeding them data.
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