Profiling, What-if Analysis, and Costbased Optimization of MapReduce Programs

MapReduce has emerged as a viable competitor to database systems in big data analytics. MapReduce programs are being written for a wide variety of application domains including business data processing, text analysis, natural language processing, Web graph and social network analysis, and computational science. However, MapReduce systems lack a feature that has been key to the historical success of database systems, namely, cost-based optimization. A major challenge here is that, to the MapReduce system, a program consists of black-box map and reduces functions written in some programming language like C++, Java, Python, or Ruby.

Provided by: VLD Digital Topic: Data Management Date Added: Sep 2011 Format: PDF

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