Mohammad Islam, Angelo K. Huang, Mohamed Battisha, Michelle Chiang, Santhosh Srinivasan, Craig Peters, A. Neumann, A. Abdelnur
{"title":"Oozie: towards a scalable workflow management system for Hadoop","authors":"Mohammad Islam, Angelo K. Huang, Mohamed Battisha, Michelle Chiang, Santhosh Srinivasan, Craig Peters, A. Neumann, A. Abdelnur","doi":"10.1145/2443416.2443420","DOIUrl":null,"url":null,"abstract":"Hadoop is a massively scalable parallel computation platform capable of running hundreds of jobs concurrently, and many thousands of jobs per day. Managing all these computations demands for a workflow and scheduling system. In this paper, we identify four indispensable qualities that a Hadoop workflow management system must fulfill namely Scalability, Security, Multi-tenancy, and Operability. We find that conventional workflow management tools lack at least one of these qualities, and therefore present Apache Oozie, a workflow management system specialized for Hadoop. We discuss the architecture of Oozie, share our production experience over the last few years at Yahoo, and evaluate Oozie's scalability and performance.","PeriodicalId":143151,"journal":{"name":"SWEET '12","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"107","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SWEET '12","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2443416.2443420","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 107
Abstract
Hadoop is a massively scalable parallel computation platform capable of running hundreds of jobs concurrently, and many thousands of jobs per day. Managing all these computations demands for a workflow and scheduling system. In this paper, we identify four indispensable qualities that a Hadoop workflow management system must fulfill namely Scalability, Security, Multi-tenancy, and Operability. We find that conventional workflow management tools lack at least one of these qualities, and therefore present Apache Oozie, a workflow management system specialized for Hadoop. We discuss the architecture of Oozie, share our production experience over the last few years at Yahoo, and evaluate Oozie's scalability and performance.
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