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Tag Archives:

The Power of Choice in Data-Aware Cluster Scheduling

Shivaram Venkataraman, Aurojit Panda, Ganesh Anantharayanan, Michael Franklin, Ion Stoica
OSDI'14, Oct. 2014.
Tags: Approximate Query Processing, Big Data, dataflow, scheduling

Knowing When You’re Wrong: Building Fast and Reliable Approximate Query Processing Systems

Sameer Agarwal, Henry Milner, Ariel Kleiner, Ameet Talwalkar, Michael Jordan, Sam Madden, Barzan Mozafari, Ion Stoica
SIGMOD, Jun. 2014.
Tags: Approximate Query Processing, BlinkDB, Bootstrap, Diagnostics, Error Estimation, Sampling

BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very Large Data (Best Paper Award)

Sameer Agarwal, Barzan Mozafari, Aurojit Panda, Henry Milner, Sam Madden, Ion Stoica
EuroSys, Apr. 2013.
Tags: Approximate Query Processing, Best Paper Award, BlinkDB, Sampling

Blink and It’s Done: Interactive Queries on Very Large Data

Sameer Agarwal, Aurojit Panda, Barzan Mozafari, Anand Padmanabha Iyer, Sam Madden, Ion Stoica
VLDB (Demonstration Paper), Aug. 2012.
Tags: Approximate Query Processing, BlinkDB, Sampling


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