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Published Articles >> Table of Contents >> Abstract
22nd International Conference on Data Engineering Workshops (ICDEW'06)
p. 64
Managing the Forecast Factory
Laura Bright, Portland State University
David Maier, Portland State University
Bill Howe, Portland State University
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDEW.2006.76
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| Abstract |
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The CORIE forecast factory consists of a set of data
product generation runs that are executed daily on dedicated
local resources. The goal is to maximize productivity
and resource utilization while still ensuring timely completion
of all forecasts. Many existing workflow management
systems address low-level workflow specification and execution
challenges, but do not directly address the high-level
challenges posed by large-scale data product factories. In
this paper we discuss several specific challenges to managing
the CORIE forecast factory including planning and
scheduling, improving data flow, and analyzing log data,
and point out their analogs in the "physical" manufacturing
world. We present solutions we have implemented to
address these challenges, and present experimental results
that show the benefits of these solutions.
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 Additional Information
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Citation:
Laura Bright, David Maier, Bill Howe,
"Managing the Forecast Factory,"
icdew,
p. 64,
22nd International Conference on Data Engineering Workshops (ICDEW'06),
2006
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