SC12 Home > SC12 Schedule > SC12 Presentation - Measuring Interference Between Live Datacenter Applications

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

ROOM:255-BC

ABSTRACT:
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.

Chair/Author Details:

Rolf Riesen (Chair) - IBM

Melanie Kambadur - Columbia University

Tipp Moseley - Google

Rick Hank - Google

Martha A. Kim - Columbia University

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Measuring Interference Between Live Datacenter Applications

SESSION: Datacenter Technologies

EVENT TYPE:

TIME: 1:30PM - 2:00PM

SESSION CHAIR: Rolf Riesen

AUTHOR(S):Melanie Kambadur, Tipp Moseley, Rick Hank, Martha A. Kim

ROOM:255-BC

ABSTRACT:
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.

Chair/Author Details:

Rolf Riesen (Chair) - IBM

Melanie Kambadur - Columbia University

Tipp Moseley - Google

Rick Hank - Google

Martha A. Kim - Columbia University

Add to iCal  Click here to download .ics calendar file

Add to Outlook  Click here to download .vcs calendar file

Add to Google Calendarss  Click here to add event to your Google Calendar