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Award Finalist/Winner |
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Student Contribution |
SC Conference - Activity Details
Characterizing Application Sensitivity to OS Interference using Kernel-Level Noise Injection
Authors:
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Kurt B. Ferreira
(University of New Mexico)
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Ron Brightwell
(Sandia National Laboratories)
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Patrick Bridges
(University of New Mexico)
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Papers Session
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Runtime Systems
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Tuesday, 03:30PM - 04:00PM
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Room Ballroom F
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Abstract:
Operating system noise has been identified as a key limiter in application
scalability. Several studies have attempted to quantify the sources and
effects of noise using user-level mechanisms. In this study, we describe a
kernel-based mechanism for noise injection and focus on the sensitivity of
applications to various noise patterns. We describe the implementation of
our noise injection framework in the Catamount lightweight kernel and show
the impact of various types of OS-generated interference on applications at
scales up to ten thousand nodes. Our results characterize the importance of
how noise is generated, in terms of frequency and duration, and how the impact
changes with scale. For example, results show that 2.5% net processor noise
at 10,000 nodes can have no impact or can result in a factor of 20 slowdown,
depending solely on how the noise is generated.
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