Octopus-Man: QoS-driven task management for heterogeneous multicores in warehouse-scale computers

Vinicius Petrucci, Michael A. Laurenzano, John Doherty, Yunqi Zhang, Daniel Mosse, Jason Mars, Lingjia Tang
2015 2015 IEEE 21st International Symposium on High Performance Computer Architecture (HPCA)  
Heterogeneous multicore architectures have the potential to improve energy efficiency by integrating power-efficient wimpy cores with high-performing brawny cores. However, it is an open question as how to deliver energy reduction while ensuring the quality of service (QoS) of latency-sensitive webservices running on such heterogeneous multicores in warehousescale computers (WSCs). In this work, we first investigate the implications of heterogeneous multicores in WSCs and show that directly
more » ... ting heterogeneous multicores without re-designing the software stack to provide QoS management leads to significant QoS violations. We then present Octopus-Man, a novel QoS-aware task management solution that dynamically maps latency-sensitive tasks to the least power-hungry processing resources that are sufficient to meet the QoS requirements. Using carefully-designed feedbackcontrol mechanisms, Octopus-Man addresses critical challenges that emerge due to uncertainties in workload fluctuations and adaptation dynamics in a real system. Our evaluation using web-search and memcached running on a real-system Intel heterogeneous prototype demonstrates that Octopus-Man improves energy efficiency by up to 41% (CPU power) and up to 15% (system power) over an all-brawny WSC design while adhering to specified QoS targets.
doi:10.1109/hpca.2015.7056037 dblp:conf/hpca/PetrucciLDZMMT15 fatcat:4g575rbnbracnbgfwwaxf4nyly