{"title":"第三届MapReduce及Beyond算法与系统研讨会报告(BeyondMR’16)","authors":"F. Afrati, J. Hidders, C. Ré, J. Sroka, J. Ullman","doi":"10.1145/3137586.3137596","DOIUrl":null,"url":null,"abstract":"This report summarizes the presentations and discussions of the third workshop on Algorithms and Systems for MapReduce and Beyond (BeyondMR'16). The BeyondMR workshop was held in conjunction with the 2016 SIGMOD conference in San Francisco, California, USA on July 1, 2016. The goal of the workshop was to bring together researchers and practitioners to explore algorithms, computational models, architectures, languages and interfaces for systems that need largescale parallelization and systems designed to support efficient parallelization and fault tolerance. These include specialized programming and data-management systems based on MapReduce and extensions, graph processing systems, data-intensive workflow and dataflow systems. The program featured two very well attended invited talks by Ion Stoica from AMPLab, University of California Berkeley and Carlos Guestrin from the University of Washington.","PeriodicalId":21740,"journal":{"name":"SIGMOD Rec.","volume":"209 1","pages":"43-48"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Report from the third workshop on Algorithms and Systems for MapReduce and Beyond (BeyondMR'16)\",\"authors\":\"F. Afrati, J. Hidders, C. Ré, J. Sroka, J. Ullman\",\"doi\":\"10.1145/3137586.3137596\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This report summarizes the presentations and discussions of the third workshop on Algorithms and Systems for MapReduce and Beyond (BeyondMR'16). The BeyondMR workshop was held in conjunction with the 2016 SIGMOD conference in San Francisco, California, USA on July 1, 2016. The goal of the workshop was to bring together researchers and practitioners to explore algorithms, computational models, architectures, languages and interfaces for systems that need largescale parallelization and systems designed to support efficient parallelization and fault tolerance. These include specialized programming and data-management systems based on MapReduce and extensions, graph processing systems, data-intensive workflow and dataflow systems. The program featured two very well attended invited talks by Ion Stoica from AMPLab, University of California Berkeley and Carlos Guestrin from the University of Washington.\",\"PeriodicalId\":21740,\"journal\":{\"name\":\"SIGMOD Rec.\",\"volume\":\"209 1\",\"pages\":\"43-48\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SIGMOD Rec.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3137586.3137596\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIGMOD Rec.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3137586.3137596","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Report from the third workshop on Algorithms and Systems for MapReduce and Beyond (BeyondMR'16)
This report summarizes the presentations and discussions of the third workshop on Algorithms and Systems for MapReduce and Beyond (BeyondMR'16). The BeyondMR workshop was held in conjunction with the 2016 SIGMOD conference in San Francisco, California, USA on July 1, 2016. The goal of the workshop was to bring together researchers and practitioners to explore algorithms, computational models, architectures, languages and interfaces for systems that need largescale parallelization and systems designed to support efficient parallelization and fault tolerance. These include specialized programming and data-management systems based on MapReduce and extensions, graph processing systems, data-intensive workflow and dataflow systems. The program featured two very well attended invited talks by Ion Stoica from AMPLab, University of California Berkeley and Carlos Guestrin from the University of Washington.