Increasing the Profit of Cloud Providers through DRAM Operation at Reduced Margins

Christos Kalogirou, Christos D. Antonopoulos, Nikolaos Bellas, Spyros Lalis, Lev Mukhanov, Georgios Karakonstantis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)
79 Downloads (Pure)

Abstract

Energy reduction is a key objective in cloud computing, and DRAM memories are responsible for an important amount of the energy consumption of data center nodes. Vendors adopt very conservative margins for DRAM operating parameters, such as the refresh rate and supply voltage, to guarantee correct operation even under the worst process variation and operating conditions. In this paper, we investigate the exploitation of DRAM margins to improve the energy efficiency of data center nodes, without triggering penalties due to service level agreement (SLA) violations. We introduce a model that captures the most important aspects of job management and system configuration. We also introduce RM-DRAM, a scheduling and node configuration policy that exploits the extended margins of DRAMs to reduce the operator’s cost, considering the tradeoff between the cost of energy consumption and potential SLA violations. RM-DRAM also employs cost-aware (rather than threshold-based) VM consolidation. We extract the parameters used in the simulation (particularly power consumption and error rates) by characterizing a commercial ARM-based server. We perform simulations to evaluate the effectiveness of our approach, showing that significant gains, up to 34.84% and 29.53% in energy and cost, respectively, can be achieved compared with a state-of-the-art policy.
Original languageEnglish
Title of host publicationThe 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2020): Proceedings
Publisher IEEE
Pages549-558
Number of pages10
ISBN (Electronic)978-1-7281-6095-5
DOIs
Publication statusPublished - 14 Jul 2020
EventThe 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2020) - Melbourne, Australia
Duration: 11 May 202014 May 2020

Conference

ConferenceThe 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2020)
Country/TerritoryAustralia
CityMelbourne
Period11/05/202014/05/2020

Keywords

  • DRAM reduced margins, energy efficiency, scheduling, cost effectiveness

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