Cloud Computing aims to efficiently tackle the increasing demand of computing resources, and its popularity has led to a dramatic increase in the number of computing servers and data centers worldwide. However, as effect of post-Dennard scaling, computing servers have become power-limited, and new system-level approaches must be used to improve their energy efficiency. This paper first presents an accurate power modelling characterization for a new server architecture based on the FD-SOI process technology for near-threshold computing (NTC). Then, we explore the existing energy vs. performance trade-offs when virtualized applications with different CPU utilization and memory footprint characteristics are executed. Finally, based on this analysis, we propose a novel dynamic virtual machine (VM) allocation method that exploits the knowledge of VMs characteristics together with our accurate server power model for next-generation NTC-based data centers, while guaranteeing quality of service (QoS) requirements. Our results demonstrate the inefficiency of current workload consolidation techniques for new NTC-based data center designs, and how our proposed method provides up to 45% energy savings when compared to state-of-the-art consolidation-based approaches.

Pahlevan, A., Qureshi, Y.M., Zapater, M., Bartolini, A., Rossi, D., Benini, L., et al. (2018). Energy proportionality in near-threshold computing servers and cloud data centers: Consolidating or Not?. NEW YORK, NY 10017 USA : Institute of Electrical and Electronics Engineers Inc. [10.23919/DATE.2018.8341994].

Energy proportionality in near-threshold computing servers and cloud data centers: Consolidating or Not?

Bartolini, Andrea;Rossi, Davide;Benini, Luca;
2018

Abstract

Cloud Computing aims to efficiently tackle the increasing demand of computing resources, and its popularity has led to a dramatic increase in the number of computing servers and data centers worldwide. However, as effect of post-Dennard scaling, computing servers have become power-limited, and new system-level approaches must be used to improve their energy efficiency. This paper first presents an accurate power modelling characterization for a new server architecture based on the FD-SOI process technology for near-threshold computing (NTC). Then, we explore the existing energy vs. performance trade-offs when virtualized applications with different CPU utilization and memory footprint characteristics are executed. Finally, based on this analysis, we propose a novel dynamic virtual machine (VM) allocation method that exploits the knowledge of VMs characteristics together with our accurate server power model for next-generation NTC-based data centers, while guaranteeing quality of service (QoS) requirements. Our results demonstrate the inefficiency of current workload consolidation techniques for new NTC-based data center designs, and how our proposed method provides up to 45% energy savings when compared to state-of-the-art consolidation-based approaches.
2018
Proceedings of the 2018 Design, Automation and Test in Europe Conference and Exhibition, DATE 2018
147
152
Pahlevan, A., Qureshi, Y.M., Zapater, M., Bartolini, A., Rossi, D., Benini, L., et al. (2018). Energy proportionality in near-threshold computing servers and cloud data centers: Consolidating or Not?. NEW YORK, NY 10017 USA : Institute of Electrical and Electronics Engineers Inc. [10.23919/DATE.2018.8341994].
Pahlevan, Ali; Qureshi, Yasir Mahmood; Zapater, Marina; Bartolini, Andrea; Rossi, Davide; Benini, Luca; Atienza, David
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/653382
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