Mohammad Islam, Angelo K. Huang, Mohamed Battisha, Michelle Chiang, Santhosh Srinivasan, Craig Peters, A. Neumann, A. Abdelnur
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Oozie: towards a scalable workflow management system for Hadoop
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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