SCHEDULE: NOV 10-16, 2012
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Measuring Interference Between Live Datacenter Applications
SESSION: Datacenter Technologies
EVENT TYPE: Papers
TIME: 1:30PM - 2:00PM
SESSION CHAIR: Rolf Riesen
AUTHOR(S):Melanie Kambadur, Tipp Moseley, Rick Hank, Martha A. Kim
Application interference is prevalent in datacenters due to contention over shared hardware resources. Unfortunately, understanding interference in live datacenters is more difﬁcult than in controlled environments or on simpler architectures. Most approaches to mitigating interference rely on data that cannot be collected efﬁciently in a production environment. This work exposes eight speciﬁc complexities of live datacenters that constrain measurement of interference. It then introduces new, generic measurement techniques for analyzing interference in the face of these challenges and restrictions. We use the measurement techniques to conduct the ﬁrst large-scale study of application interference in live production datacenter workloads. Data is measured across 1000 12-core Google servers observed to be running 1102 unique applications. Finally, our work identiﬁes several opportunities to improve performance that use only the available data; these opportunities are applicable to any datacenter.
Rolf Riesen (Chair) - IBM
Melanie Kambadur - Columbia University
Tipp Moseley - Google
Rick Hank - Google
Martha A. Kim - Columbia University