@COMMENT This file was generated by bib2html.pl <http://www.cs.cmu.edu/~pfr/misc_software/index.html#bib2html> version 0.90
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@COMMENT This file came from Peter Stone's publication pages at
@COMMENT http://www.cs.utexas.edu/~pstone/papers
@Article(EAAI04,
        author="Shimon Whiteson and Peter Stone",
        title="Adaptive Job Routing and Scheduling",
        journal="Engineering Applications of Artificial Intelligence",
	note="Special issue on Autonomic Computing and Automation",
        volume="17",number="7",
        pages="855--69",
        month="October",
        year="2004",
        abstract={
                  Computer systems are rapidly becoming so complex
                  that maintaining them with human support staffs will
                  be prohibitively expensive and inefficient.  In
                  response, visionaries have begun proposing that
                  computer systems be imbued with the ability to
                  configure themselves, diagnose failures, and
                  ultimately repair themselves in response to these
                  failures.  However, despite convincing arguments
                  that such a shift would be desirable, as of yet
                  there has been little concrete progress made towards
                  this goal.  We view these problems as fundamentally
                  \emph{machine learning} challenges.  Hence, this
                  article presents a new network simulator designed to
                  study the application of machine learning methods
                  from a system-wide perspective.  We also introduce
                  learning-based methods for addressing the problems
                  of job routing and CPU scheduling in the networks we
                  simulate.  Our experimental results verify that
                  methods using machine learning outperform reasonable
                  heuristic and hand-coded approaches on example
                  networks designed to capture many of the
                  complexities that exist in real systems.
        },
        wwwnote={
Available from the <a href="http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V2M-4DGW3D2-1&_user=108429&_handle=B-WA-A-W-AV-MsSAYZW-UUW-AAUEABZWYE-AAUZDADUYE-YDBCBCYVZ-AV-U&_fmt=full&_coverDate=10%2F01%2F2004&_rdoc=13&_orig=browse&_srch=%23toc%235706%232004%23999829992%23530554!&_cdi=5706&view=c&_acct=C000059713&_version=1&_urlVersion=0&_userid=108429&md5=dc3e878e117abe3ed6d8347340800824">publisher's webpage</a><br>
The version from this page corrects a minor error in the published version.<br>
An earlier version appeared in the proceedings of <a href="http://www.aaai.org/Conferences/IAAI/iaai04.php">The Sixteenth Innovative Applications of Artificial Intelligence Conference</a> (IAAI 2004)},
)