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Issue No.03 - May/June (2012 vol.32)
pp: 88-99
Jason Mars , University of Virginia
Lingjia Tang , University of Virginia
Kevin Skadron , University of Virginia
Mary Lou Soffa , University of Virginia
Robert Hundt , Google
Precisely predicting performance degradation due to colocating multiple executing applications on a single machine is critical for improving utilization in modern warehouse-scale computers (WSCs). Bubble-Up is the first mechanism for such precise prediction. As opposed to over-provisioning machines, Bubble-Up enables the safe colocation of multiple workloads on a single machine for Web service applications that have quality of service constraints, thus greatly improving machine utilization in modern WSCs.
Bubble-Up, warehouse-scale computer, performance degradation, quality of service
Jason Mars, Lingjia Tang, Kevin Skadron, Mary Lou Soffa, Robert Hundt, "Increasing Utilization in Modern Warehouse-Scale Computers Using Bubble-Up", IEEE Micro, vol.32, no. 3, pp. 88-99, May/June 2012, doi:10.1109/MM.2012.22
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