Nodira Khoussainova

  1. PerfXplain: Debugging MapReduce Job Performance.

    Authors: Nodira Khoussainova, Dan Suciu, Magdalena Balazinska
    Subjects: Databases
    Abstract

    While users today have access to many tools that assist in performing large
    scale data analysis tasks, understanding the performance characteristics of
    their parallel computations, such as MapReduce jobs, remains difficult. We
    present PerfXplain, a system that enables users to ask questions about the
    relative performances (i.e., runtimes) of pairs of MapReduce jobs. PerfXplain
    provides a new query language for articulating performance queries and an
    algorithm for generating explanations from a log of past MapReduce job
    executions.

  2. A Case for A Collaborative Query Management System.

    Authors: Nodira Khoussainova, Magda Balazinska, Wolfgang Gatterbauer, YongChul Kwon, Dan Suciu
    Subjects: Databases
    Abstract

    Over the past 40 years, database management systems (DBMSs) have evolved to
    provide a sophisticated variety of data management capabilities. At the same
    time, tools for managing queries over the data have remained relatively
    primitive. One reason for this is that queries are typically issued through
    applications. They are thus debugged once and re-used repeatedly. This mode of
    interaction, however, is changing. As scientists (and others) store and share
    increasingly large volumes of data in data centers, they need the ability to
    analyze the data by issuing exploratory queries.

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