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Open versus closed: a cautionary tale

Schroeder, Bianca and Wierman, Adam and Harchol-Balter, Mor (2006) Open versus closed: a cautionary tale. In: Proceedings of the 3rd conference on Networked Systems Design & Implementation. Vol.3. USENIX Association , Berkeley, CA, pp. 239-252. ISBN 9781931971430. https://resolver.caltech.edu/CaltechAUTHORS:20210309-113621297

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Abstract

Workload generators may be classified as based on a closed system model, where new job arrivals are only triggered by job completions (followed by think time), or an open system model, where new jobs arrive independently of job completions. In general, system designers pay little attention to whether a workload generator is closed or open. Using a combination of implementation and simulation experiments, we illustrate that there is a vast difference in behavior between open and closed models in real-world settings. We synthesize these differences into eight simple guiding principles, which serve three purposes. First, the principles specify how scheduling policies are impacted by closed and open models, and explain the differences in user level performance. Second, the principles motivate the use of partly open system models, whose behavior we show to lie between that of closed and open models. Finally, the principles provide guidelines to system designers for determining which system model is most appropriate for a given workload.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://dl.acm.org/doi/10.5555/1267680.1267698PublisherArticle
Additional Information:© 2006 USENIX Association. We would like to thank Arun Iyengar, Erich Nahum, Paul Dantzig, Luis von Ahn, and Chad Vizino for providing access to the logs we used in Section 4.3 and Section 7. This work was supported by an IBM PhD fellowship, NSF grants CCR-0133077, CCR-0311383, and CCR-0313148, and by IBM via TTC grant 2005-2006.
Funders:
Funding AgencyGrant Number
IBM2005-2006
NSFCCR-0133077
NSFCCR-0311383
NSFCCR-0313148
Record Number:CaltechAUTHORS:20210309-113621297
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20210309-113621297
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:108366
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:10 Mar 2021 20:46
Last Modified:10 Mar 2021 20:46

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