{"title":"面向云数据分析的弹性内存管理","authors":"Jingjing Wang, M. Balazinska","doi":"10.1145/2926534.2926541","DOIUrl":null,"url":null,"abstract":"We present several key elements towards elastic memory management in modern big data systems. The goal of our approach is to avoid out-of-memory failures without over-provisioning but also to avoid garbage-collection overheads when possible.","PeriodicalId":393776,"journal":{"name":"Proceedings of the 3rd ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Toward elastic memory management for cloud data analytics\",\"authors\":\"Jingjing Wang, M. Balazinska\",\"doi\":\"10.1145/2926534.2926541\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present several key elements towards elastic memory management in modern big data systems. The goal of our approach is to avoid out-of-memory failures without over-provisioning but also to avoid garbage-collection overheads when possible.\",\"PeriodicalId\":393776,\"journal\":{\"name\":\"Proceedings of the 3rd ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 3rd ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2926534.2926541\",\"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 3rd ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2926534.2926541","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Toward elastic memory management for cloud data analytics
We present several key elements towards elastic memory management in modern big data systems. The goal of our approach is to avoid out-of-memory failures without over-provisioning but also to avoid garbage-collection overheads when possible.
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