Temperature-aware Adaptive VM Allocation in Heterogeneous Data Centers

Young Geun Kim, Jeong In Kim, Seung Hun Choi, Seon Young Kim, Sung Woo Chung

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

6 Citations (Scopus)

Abstract

Virtualized data centers usually consist of heterogeneous servers which have different specifications (performance). Though there are usually a number of unused servers with different performance in such heterogeneous data centers, conventional DVFS (Dynamic Voltage and Frequency Scaling)-based DTM (Dynamic Thermal Management) techniques do not exploit the unused servers to cool down hot servers. In this paper, we propose a novel DTM technique which adaptively exploits external computing resources (unused servers with different performance) as well as internal computing resources (unused CPU cores in the server) available in heterogeneous data centers. When the temperature of a CPU core in a server exceeds a pre-defined thermal threshold, our proposed technique first identifies memory intensiveness and usage of VMs (Virtual Machines). Depending on the memory intensiveness and usage of VMs, our technique adaptively employs the following three methods: 1) a method that migrates a VM to another server with different performance, 2) a method that migrates VMs among CPU cores in the server, and 3) a DVFS-based method. In our experiments, our proposed technique improves performance by 9.6% and saves system-wide EDP by 12.9%, on average (by up to 17.1% and 24.5%, respectively), compared to a conventional DVFS-based DTM technique, satisfying thermal constraints.

Original languageEnglish
Title of host publicationInternational Symposium on Low Power Electronics and Design, ISLPED 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728129549
DOIs
Publication statusPublished - 2019 Jul
Event2019 IEEE/ACM International Symposium on Low Power Electronics and Design, ISLPED 2019 - Lausanne, Switzerland
Duration: 2019 Jul 292019 Jul 31

Publication series

NameProceedings of the International Symposium on Low Power Electronics and Design
Volume2019-July
ISSN (Print)1533-4678

Conference

Conference2019 IEEE/ACM International Symposium on Low Power Electronics and Design, ISLPED 2019
Country/TerritorySwitzerland
CityLausanne
Period19/7/2919/7/31

Bibliographical note

Funding Information:
In this paper, we propose a novel DTM technique which adaptively exploits external computing resources (unused physical machines with different performance) as well as internal computing resources (unused CPU cores in the physical machine) available in heterogeneous data centers. Specifically, our technique employs one of the following three methods depending on the memory intensiveness and usage of VMs: 1) a method that migrates a VM to another machine with different performance, 2) a method that migrates VMs among CPU cores in the machine, and 3) a DVFS-based method. In our experiments on two heterogeneous servers, our technique improves performance by up to 17.1% and saves system-wide EDP by up to 24.5%, compared to a conventional DVFS-based DTM, satisfying thermal constraints. We believe our technique can be adopted in heterogeneous data centers to avoid thermal emergency while improving performance and energy efficiency. As a future work, we plan to further consider location and heat conduction effect of servers in a data center. ACKNOWLEDGMENT Sung Woo Chung is the corresponding author of this paper. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. 2017R1A2B2002930) and Next-Generation Information Computing Development Program through National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT 2017M3C4A7080243. We would also like to thank anonymous reviewers for their helpful feedback. REFERENCES

Funding Information:
Sung Woo Chung is the corresponding author of this paper. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. 2017R1A2B2002930) and Next-Generation Information Computing Development Program through National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT 2017M3C4A7080243. We would also like to thank anonymous reviewers for their helpful feedback.

Publisher Copyright:
© 2019 IEEE.

Keywords

  • DVFS
  • heterogeneous data centers
  • migration
  • thermal management
  • virtualization

ASJC Scopus subject areas

  • General Engineering

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