Paper Info
Title
Energy proportionality in near-threshold computing servers and cloud data centers: Consolidating or Not?
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.
Year
DOI
Venue
2018
10.23919/DATE.2018.8341994
2018 Design, Automation & Test in Europe Conference & Exhibition (DATE)
Keywords
Field
DocType
energy proportionality,near-threshold computing servers,cloud data centers,Cloud Computing,post-Dennard scaling,system-level approaches,energy efficiency,accurate power modelling characterization,FD-SOI process technology,NTC,dynamic virtual machine allocation method,VMs characteristics
Virtual machine,Efficient energy use,CPU time,Computer science,Server,Quality of service,Real-time computing,Memory footprint,Data center,Distributed computing,Cloud computing
Conference
ISSN
Citations 
PageRank 
1530-1591
0
0.34
References 
Authors
8
7
Name
Order
Citations
PageRank
ali pahlevan1123.45
Yasir Mahmood Qureshi282.33
marina zapater35410.70
Andrea Bartolini445751.90
Davide Rossi541647.47
Luca Benini6131161188.49
D. Atienza718224.26