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Compiling for niceness: mitigating contention for QoS in warehouse scale computers by Lingjia Tang; Jason Mars; Mary Lou Soffa is a scholarly article available to read on EtoBox.

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As the class of datacenters recently coined as warehouse scale computers (WSCs) continues to leverage commodity multicore processors with increasing core counts, there is a growing need to consolidate various workloads on these machines to fully utilize their computation power. However, it is well known that when multiple applications are co-located on a multicore machine, contention for shared memory resources can cause severe cross-core performance interference. To ensure that the quality of service (QoS) of user-facing applications does not suffer from performance interference, WSC operators resort to disallowing co-location of latencysensitive applications with other applications. This policy translates to low machine utilization and millions of dollars wasted in WSCs.This paper presents QoS-Compile, the first compilation approach that statically manipulates application contentiousness to enable the co-location of applications with varying QoS requirements, and as a result, can greatly improve machine utilization. Our technique first pinpoints an application's code regions that tend to cause contention and performance interference. QoS-Compile then transforms those regions to r

Author

Lingjia Tang; Jason Mars; Mary Lou Soffa

Publisher

ACM

Published

2012

Language

EN